media management research paper

Making Media Management Research Matter

First Online: 04 May 2017

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Paul Clemens Murschetz 14 &
Mike Friedrichsen 15 , 16

Part of the book series: Media Business and Innovation ((MEDIA))

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Media management is a young academic field that has yet to establish a universally accepted set of theoretical foundations (Küng, 2007; Mierzejewska & Hollifield, 2006). Albeit its strong growth in academic teaching and scholarly output, it remains a confused field. The field is neither clearly defined nor a cohesively organized. It remains rather a loose agglomeration of work by researchers from various scientific fields.

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The Development of Media Management as an Academic Field: Tracing the Contents and Impact of Its Three Leading Journals

Introduction: what’s so special about media management, media management: a critical discipline.

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Berlin University of Digital Sciences, Berlin, Germany

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Murschetz, P.C., Friedrichsen, M. (2017). Making Media Management Research Matter. In: Friedrichsen, M., Kamalipour, Y. (eds) Digital Transformation in Journalism and News Media. Media Business and Innovation. Springer, Cham. https://doi.org/10.1007/978-3-319-27786-8_3

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DOI: 10.1080/16522354.2007.11073444
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Does Media Management Matter? Establishing the Scope, Rationale, and Future Research Agenda for the Discipline

Published 1 March 2007
Journal of Media Business Studies

77 Citations

The development of media management as an academic field: tracing the contents and impact of its three leading journals, media management: a critical discipline, leadership in media organisations: past trends and challenges ahead, developing media management scholarship: a commentary to picard and lowe’s essay, why is media management research so difficult – and what can scholars do to overcome the field’s intrinsic challenges, paradoxes of strategic renewal in traditional print-oriented media firms, introduction: what’s so special about media management, solution-oriented media management research: a framework to nurture future impact of the field, examining media management and performance: a taxonomy for initiating a research agenda, brands and branding in media management—toward a research agenda, 39 references, media firms: structures, operations, and performance, competing in the age of digital convergence, beyond the m-form: toward a managerial theory of the firm, creative industries: contracts between art and commerce, doing digital: an assessment of the top 25 u.s. media companies and their digital strategies, central problems in the management of innovation, managing media companies: harnessing creative value, when a thousand flowers bloom: structural, collective, and social conditions for innovation in organization, how to kill creativity., the vanishing newspaper: saving journalism in the information age, related papers.

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Researching Media Management and Media Economics: Methodological Approaches and Issues

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Media economics provides a means to understand the activities and functions of media companies as economic institutions.It involves the application of economic theories, concepts, and principles to study the macroeconomic and microeconomics aspects of mass media companies and industries. Concomitant with the increasing consolidation and concentration across the media industries,media economics emerged as an important area of study for academicians, policymakers, and industry analysts. Media economics literature encompasses a variety of methodological approaches involving both qualitative and quantitative methods and statistical analysis, as well as studies using financial, historical, and policy-driven data.The main objective of the article are to examine the historical development of the field of media economics, tracing its roots to the founding of economics as well as theoretical and methodological dimensions of media economics and addressing the importance of the study of media economics.

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Waste Management Symposia Honors PNNL Research

‘Paper of Note’ and ‘Superior Paper’ Awards Recognize PNNL Contributions to Advancing Radioactive Waste and Materials Management

Pacific Northwest National Laboratory researchers earned five Papers of Note, 17 Superior Papers, and one poster award for their environmental remediation, radioactive waste, and nuclear energy-related presentations at the Waste Management Symposia held in March 2024.

(Illustration by Derek Munson | Pacific Northwest National Laboratory)

The 2024 Waste Management Symposia honored Pacific Northwest National Laboratory (PNNL) researchers with “Papers of Note” awards on five papers and “Superior Paper” designations for 17 papers.

The Waste Management Symposia is regarded as the world’s largest gathering of radioactive waste management experts and innovators. The international conference is dedicated to providing education and information exchange on safe, environmentally responsible, technically sound, and cost-effective solutions to the management and disposition of radioactive wastes and the decommissioning of nuclear facilities—with a goal of enhancing the transparency and credibility of the global radioactive waste industry.

During the annual WM2024 conference in March, PNNL researchers shared their work during the technical program in environmental management, subsurface remediation, waste processing, radiochemistry, nuclear energy, spent nuclear fuel, stakeholder engagement, and more.

“Our diverse expertise in nuclear science and Earth sciences means PNNL contributes to multiple Department of Energy missions, and we partner with other institutions, universities, and industry to find technically-sound solutions to these complex waste management challenges,” said David Peeler , PNNL deputy sector manager for environmental management programs. “The Waste Management Symposia is an important place for us to share what we’ve learned and make connections that lead to new discoveries.”

Judges issue a “Superior” rating for presentations that demonstrate superb knowledge and understanding and lay the foundation for future waste management endeavors, Peeler explained. The “Papers of Note” awards are based on the paper alone, not the presentation, with only a few papers selected for each of the WM2024 conference tracks.

Five PNNL Papers of Note

Of the 22 awards for “ Papers of Note ,” five were authored or co-authored by PNNL researchers. All Papers of Note honorees also received Superior Paper awards.

“ Aluminum Solubility, Speciation, and Reactivity Under Low Water Conditions in Radioactive Tank Waste at Hanford ” – WMS #24207. Authors: Carolyn Pearce, Emily Nienhuis, Trenton Graham, Xin Zhang, Zheming Wang, Kevin Rosso, Gregory Schenter (PNNL); Mateusz Dembowski (Los Alamos National Laboratory); Andrew Stack, Larry Anovitz, Oak Ridge National Laboratory (Oak Ridge National Laboratory); Aurora Clark (University of Utah); Jacob Reynolds, (Washington River Protection Solutions). This team represents the PNNL-led Ion Dynamics in Radioactive Environments and Materials (IDREAM) Energy Frontier Research Center, which is unraveling the chemical complexity of Hanford Site tank waste.
“ Using GIS and 360-Degree Video Surveys to Identify Microreactor Transport Risk Locations Along a Hypothetical Public Highway ” – WMS #24159. Authors: Micah Taylor, Brian Hom, Ben Jensen (PNNL).
“ Update on DOE’s Atlas Railcar Project ” – WMS #24027. Authors: Kevin Connolly, Mike Schultze, (ORNL); Steven Maheras (PNNL); Scott Dam (Spectrum, Inc.); Patrick Schwab (DOE).
“ Assessing Effects of Climate Change on Legacy Waste at the Enewetak Atoll ” – WMS #24600. Authors: Rajiv Prasad, Bruce Napier, Tracy Ikenberry, Saikat Ghosh, Male Rajage Premathilake, Taiping Wang, Tarang Khangaonkar, Sourav Taraphdar, Lai-Yung (Ruby) Leung (PNNL).
“ ALTEMIS: Long-term Performance Monitoring of the SRNL F-Area Basin 3 Cap Using Autonomous 4D Electrical Resistivity Difference Tomography ” – WMS #24603. Authors: Judy Robinson (PNNL); Thomas Danielson, Hansell Gonzalez-Raymat, Carol Eddy-Dilek (Savannah River National Laboratory); Jeffrey Thibault (Savannah River Nuclear Solutions).

DOE leader Ike White wears augmented reality goggles to try an activity at a conference booth, while surrounded by people at a conference.

PNNL Contributed to 17 Superior Papers

The WM2024 “ Superior Paper ” category recognizes authors for distinguished contributions to the advancement of radioactive waste and radioactive material management. Of the 91 papers honored, PNNL staff authored or co-authored 17 (including the five listed above as Papers of Note).

“ Finite Element Modeling of the Hanford Lead Canister Coupon Replacement Weld Residual Stress ” – WMS #24091. Authors: Ben Jensen, C.J. Taylor Mason, Nicholas Klymyshyn (PNNL).
“ Qualification of Expanded Low-Activity Waste Glass Compositions for Disposal in the Hanford Integrated Disposal Facility ” – WMS #24073. Authors: David Swanberg, Rodney Skeen, Kearn Lee (Washington River Protection Solutions); Innocent Joseph (Atkins); Ian Pegg (Catholic University of America); Matthew Asmussen, Sebastien Kerisit, Jim Neeway (PNNL); Isabelle Lab, (Vitreous State Lab Catholic University).
“ Three Mile Island Nuclear Station Site Infrastructure Evaluation ” – WMS #24074. Authors: Miriam Juckett, Steven Maheras (PNNL); Jeffrey Moore (Federal Railroad Administration); Kathy Langan (Langan & Associates Consulting Ltd); Wade DeHaas (PA DEP BRP); Erica Bickford, Gerard Jackson, (DOE).
“ Duane Arnold Nuclear Power Plant Site Evaluation ” – WMS #24089. Authors: Miriam Juckett, Steven Maheras (PNNL); Mitch Arvidson (Council of State Governments-Midwest); Virgil People (Idaho National Laboratory); Gerard Jackson (DOE).
“ Describing an Essentially Unyielding Surface as Prescribed by 10 CFR Part 71 Transportation Regulations ” – WMS #24173.Authors: Antonio Rigato, Lucas Mackey (PNNL).
“ Monitoring Subsurface Plumes in the Vadose Zone at the Hanford Site Using Time-Lapse Surface Electrical Resistivity ” – WMS #24107. Authors: Judy Robinson, Tim Johnson, Jon Thomle, Piyoosh Jaysaval, Rob Mackley (PNNL); Kelsey Peta (Gram Northwest LLC); Joaquin Cambeiro (Rutgers University-Newark).
“ Reduction and Sequestration Remediation Technologies Utilizing Phosphate for Hanford Site Saturated Zones ” – WMS #24146. Authors: Hilary Emerson, Jim Szecsody, Amanda Lawter, Christopher Bagwell, Andy Plymale, Jacqueline Hager, Nancy Escobedo, Guohui Wang, Inci Demirkanli, Katherine Muller, Nicolas Huerta, Charles Resch, Rob Mackley (PNNL); Kaycee Bailey (DOE Richland Field Office).
“ From 7% to <1%: Noise Drop-off in a Large Sensor Network at Hanford ” – WMS #24476. Authors: Heather Sabella, Brett Simpson, Anastasia Bernat, Nathan Anderson, Jace Olsen, Hongfei Hou, Eugene Morrey (PNNL); Jason Reno (Washington River Protection Solutions).
“ The Long-term Saturated Leaching of Cementitious Waste Forms and Applicability of Diffusion Models ” – WMS #24421. Authors: Alessandra Fujii Yamagata, Gary L. Smith, Matthew Asmussen (PNNL); Rodney Skeen (Washington River Protection Solutions).
“ 4D Electrical Resistivity Tomography Monitoring of Vadose Zone Soil Flushing at the Hanford 100-K Area Reactor Facility ” – WMS #24602 . Authors: Tim Johnson, Jon Thomle, Rob Mackley, Jonah Bartrand, Martin Pratt, Tycko Franklin, Patrick Royer, Judy Robinson (PNNL); Jeremy Lynn, (Central Plateau Cleanup Co.); Emily Macdonald (TerraGraphics).
“ Soil Water Balance Model Selection and Benchmark Testing for Evaluating Uranium Mill Tailings Disposal Cell Evapotranspiration Covers ” – WMS #24624. Authors: Inci Demirkanli, Rebecka Bence, Mark Rockhold, Christian Johnson (PNNL); Adam Mangel (Haley and Aldrich, Inc.); Michael Morse (RSI EnTech, LLC); David Holbrook (RSI EnTech, DOE Legacy Management Contractor); Angelita Denny (DOE LM); Craig Benson (University of Wisconsin, Madison).
“ Concept of Operations for Advanced Reactor Spent Nuclear Fuel Management ” – WMS #24318. Authors: Gordon Petersen, Ursula Carvajal, Andrew Newman (Idaho National Laboratory); Mike Billone (Argonne National Laboratory); Riley Cumberland (Oak Ridge National Laboratory); Ricardo Torres, Brady Hanson (PNNL); Edward Matteo, Laura Price (Sandia National Laboratories).

Research topics

The work of assistant professor of industrial engineering Dr.Na Zou was recently recognized with the Best Paper Award in a competition associated with the 2024 Institute for Operations Research and the Management Sciences (INFORMS) Conference on Quality, Statistics, and Reliability (ICQSR) — described by Zou as "a major research community."

The paper, CODA: Temporal Domain Generalization via Concept Drift Simulator , was co-authored by Zou and her research partners at Rice University and Texas A&M University: Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, and Anxiao Jiang. Funding for the project came from an NSF award earlier this year; the total $1.2 million award is split across the three collaborating institutions.

"In real-world applications, machine learning models often become obsolete due to shifts in the joint distribution arising from underlying temporal trends, a phenomenon known as the 'temporal concept drift'," assert Zou et al. in the paper's abstract.

With machine learning currently at the forefront of innumerable innovative efforts, investigating solutions for issues such as concept drift is critical work.

"We're addressing a data challenge related to the quality of the data used to train a model. We propose a [new] method from a data-centric perspective," said Zou.

This method is the COncept Drift simulAtor (CODA) framework: a way to simulate future data with potential changes that machine learning models may face before they actually face them.

"Previously, most existing work relied on model-centric methods; that is, applying different models to a fixed data set to enhance prediction. Since the temporal distribution shifts arise from data, we incorporate the temporal trends in a simulator to generate out-of- distribution future data. The generated data can be used to train various models for improving generalization."

Zou uses a real-world example to illustrate what makes this research so important, not to mention practical:

"For example, consider the task of using Twitter data to predict seasonal flu trends. Over time, the number of active users on Twitter is increasing, new friendships are formed, and user profiles evolve, all of which can significantly affect the model performance for future flu prediction using models trained on the initial data. But this future data, such as new users and friendships for the next year, is not yet available and cannot be accessed now. Instead of training new flu prediction models after collecting Twitter data next year, our proposed method can simulate the future Twitter data via capturing the temporal trends. The simulated Twitter data can be used to train various models, leading to more accurate flu prediction for the upcoming year."

Compared to model-centric modeling, a data-centric approach is critical because it addresses underlying data quality and distribution issues and can significantly enhance model performance and generalization, leading to more reliable, robust and effective solutions for real-world applications.

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The University of Chicago The Law School

Global human rights clinic—significant achievements for 2023-24.

The Global Human Rights Clinic (GHRC) students continue to advance justice and address the inequalities and structural disparities that lead to human rights violations worldwide using diverse tactics and interdisciplinary tools. Over the past year, students and clinic director Anjli Parrin—who joined the faculty permanently in October 2023—worked in teams to promote human rights around the world. In particular, the GHRC supported justice efforts in the context of conflict and related to mass atrocities; the investigation and prevention of unlawful killings globally; the rights of missing migrants; the right to health; climate justice; and the right to equality and non-discrimination. Select work from each of these strands is described below.

Justice in Conflict: Supporting Atrocity Investigations in The Gambia and Central African Republic

The GHRC partners with civil society organizations and multidisciplinary scientific experts to investigate war crimes and mass atrocities, and advance justice in the context of conflict. Over this past year, the GHRC supported effective investigations in the Central African Republic and the Gambia. In addition, the Clinic worked with grassroots civil society and victims’ associations in both countries to advance critical human rights.

Central African Republic

In the Central African Republic (CAR), protracted violence and conflict has had devastating impacts on the civilian population. Civilians have borne the brunt of grave human rights violations, and the country remains one of the poorest in the world. The GHRC supported judicial authorities to carry out complex investigations of alleged mass atrocities committed during armed conflict in the country. Students worked alongside lawyers and scientific experts to conduct detailed factfinding, prepare legal memos on evidence collection and preservation, and support the creation of investigation files of human rights abuses.

Further, the GHRC alongside the Columbia Law School Smith Family Human Rights Clinic, partnered with CAR civil society, which is significantly under-funded and under-resourced, and therefore frequently shut out of international human rights forums and subject to attacks and threats domestically. We worked with two organizations—the Collectif des Organisations Musulmanes de Centrafrique (COMUC), an umbrella network of Muslim civil society, and the Association des Femmes Juriste de Centrafrique (AFJC), a women’s lawyers’ organization, and one of the largest providers of legal aid in the country—to document and advocate for the rights of religious minorities and women at the United Nations Human Rights Council. Students supported these organizations to:

Launch a major human rights report on the right to freedom of religion and belief, and non-discrimination of religious minorities in CAR. This report documents violations of the right to life, arbitrary detention, freedom of movement, legal recognition, health, and education, and was launched in Geneva in December 2023.
Carry out advocacy before the United Nations Human Rights Council in Geneva, as part of CAR’s Universal Periodic Review, a unique process of the Council whereby States’ human rights records are reviewed every five years. Students supported advocates from COMUC and AFJC to prepare reports on the human rights situation, present at a pre-session for the review in Geneva, and to meet diplomatic missions to inform them about the human rights situation in the country. The clinic’s support to national civil society ensured that they had access to this important international advocacy forum. The civil society reports can be accessed at the UN Office of the High Commission for Human Rights website (for a summary, see, A/HRC/WG.6/45/CAF/3 ).

In the Gambia, a military regime run by autocrat Yahya Jammeh committed scores of human rights abuses between 1994 and 2016, including arbitrary detentions, extrajudicial killings, and enforced disappearances. Following the overturning of the Jammeh regime, a truth commission was created to understand what happened during the dictatorship, and a special prosecution office is being set up. Families of those killed and disappeared are searching for answers as to the fate of their loved ones.

In partnership with the African Network Against Extrajudicial Killings and Enforced Disappearances (ANEKED) Gambia chapter, the Gambian Ministry of Justice, and the Argentine Forensic Anthropology Team, GHRC students supported efforts to advance justice and the search for missing persons in the Gambia. In particular, building on an assessment of the forensic and international criminal system conducted last year, the GHRC worked with civil society to carry out factfinding related to a key mass atrocity case. Additionally, in the Fall, the GHRC will work with ANEKED to expand its transitional justice and memory curriculum, so that young persons in the Gambia and globally learn about the process for truth and justice in the country.

Extrajudicial Executions: Preventing and Investigating Unlawful Deaths Globally

The GHRC provided strategic support to Morris Tidball-Binz, the United Nations Special Rapporteur on Extrajudicial, Summary, or Arbitrary Executions, and a leading independent human rights expert appointed by the United Nations to advise on the issue of unlawful killings from a thematic perspective. The Special Rapporteur procedures are a key pillar through which human rights is advanced at the UN. As part of their mandate, Special Rapporteurs undertake country visits, conduct annual thematic studies, and act on individual cases of reported violations by sending communications to States and international authorities. As of June 2024, Tidball-Binz joined the University of Chicago Pozen Family Center for Human Rights as a visiting senior research associate, where he will engage with and conduct joint research alongside Pozen Center and GHRC students.

In particular, the GHRC supported the Special Rapporteur with:

Preparation for his country visit to Ukraine in May 2024. GHRC students conducted detailed research, factfinding, and analysis of concerns relating to unlawful killings in Ukraine, producing background research about the human rights situation prior to as well as during the ongoing escalation in hostilities. The research covered legislative and policy structures, key crosscutting concerns, emblematic cases, and positive developments. During the Special Rapporteur’s actual time in-country, GHRC students provided remote, ongoing support as required.
Support in the research and drafting of his thematic report on the protection of the dead from a human rights perspective. GHRC students conducted factfinding, expert interviews, and legal analysis to inform the Special Rapporteur’s thematic report on protection of the dead, which was presented to the UN Human Rights Council on June 26, 2024 ( A/HRC/56/56 ). The UN Special Rapporteur acknowledged the contributions of the GHRC (video, remarks referencing the GHRC at 31:30).

Missing Migrants: A Forensic Response for African Missing Migrants in Southwest Europe

Thousands of Africans go missing each year attempting to cross international borders in search of safety and better opportunities. Despite the broad recognition among states of the importance and need to address the situation of missing migrants, there is a lack of formal coordination and procedures among all relevant stakeholders relating to missing migrants, and in many instances, even within a country’s government, there is a lack of information sharing. For families searching for the fate and whereabouts of their loved ones, the uncertainty is devastating, often leaving them in limbo.

In partnership with the Immigrants’ Rights Clinic (IRC) and the Argentine Forensic Anthropology Team, the GHRC is supporting efforts to identify missing migrants traveling from Africa to South-West Europe. Over this course of this academic year, GHRC/IRC students:

Researched migration patterns in key departure and transit countries in Africa, focusing on migrants leaving from the Gambia, Senegal, Morocco, and Tunisia. Additionally, students researched migration arrival patterns in Spain.
Commenced an analysis of the existing legal frameworks governing the rights of missing migrants, and laws that pertain to transnational exchange of information of missing migrants. This analysis will be further developed and published next academic year.
Prepared to carry out travel to the Gambia, Senegal, Tunisia, and Morocco, including identifying key stakeholders in each country from civil society, state institutions, and intergovernmental institutions.

Advancing the Right to Health Globally

GHRC students work to address violations of the right to health globally. We do so in two key areas—by working with Indigenous groups globally to reinterpret the international human right to health in accordance with Indigenous knowledge systems; and to support the realization of the right to health in the context of armed conflict.

Indigenous rights to health

In partnership with Human Rights Watch and Indigenous groups in South Africa, the Navajo Nation, and Guåhan (Guam), GHRC students are working to tackle systemic harms within global health and understand the impact of colonial determinants on health outcomes. This academic year, students worked to finalize a human rights report on the impact of US military buildup in Guåhan on Indigenous CHamoru medicinal and healing practices (the military currently controls approximately one-third of land on Guåhan). This report will be released in the Fall of 2024. Further, GHRC students supported Indigenous groups in South Africa and the Navajo Nation to document violations of the right to health in their lands.

Drawing upon his research through the GHRC, undergraduate student Elijah Jenkins was selected to receive the prestigious Stamps Scholarship , which will support him to undertake additional research in Guåhan. As a CHamoru student, Jenkins will deepen his understanding of and research into the impact of colonialism on the peoples of Guåhan and will continue to be supported by the GHRC.

Attacks on healthcare in conflict

The GHRC partnered with the University of Chicago’s Pritzker School of Medicine to document, research, and support legal claims of violations of the right to health in the context of the ongoing conflict in Israel and Palestine. This project is taking place with the support and partnership of the Heath and Vascular Hospital at the Public Aid Society in Gaza. GHRC law students and Pritzker School medical students teamed up to conduct interviews with doctors who have recently traveled to Gaza, conduct open-source research into violations of the right to health, and analyze the applicable international humanitarian law governing protection of medical establishments and personnel. The team is currently preparing joint submissions to legal and quasi-judicial bodies.

Bridging the Chasm Between Law, Science, Technology and Narrative to Advance Climate Justice

While climate change is having a devastating impact across the planet, the harms are not experienced equally. Those on the frontlines of the climate crisis are frequently those who have contributed least to climate harms—including Indigenous groups, individuals living in small island nations, young people, and communities across the Global South. Coalitions of young people, including the Pacific Island Students Fighting Climate Change (PISFCC) and the World’s Youth for Climate Justice (WY4CJ), are leading the right to ensure a livable present and future.

In March 2023, the PISFCC succeeded in getting a historic resolution adopted, asking the International Court of Justice—the World’s Court—to rule on what the obligations of States are to protect the climate, and what the consequences are for the world’s biggest violators. Ahead of the ICJ oral hearings, GHRC is partnering with PISFCC, WY4CJ, visual investigations experts SITU Research , and artist Suneil Sanzgiri, to create a fifteen-minute film that weaves together the stories of young people and the impacts of climate harm through testimony, historical and contemporary documentation, and climate science. The film will debut at the Pinakothek der Moderne museum as part of the upcoming exhibition, Visual Investigations: between Advocacy, Journalism, and Law , opening October 10, 2024 in Munich, Germany.

Advancing Equality: Resisting Discriminatory Laws in Uganda and Globally

Discriminatory laws impact the ability of sexual and gender minorities, as well as other vulnerable groups, to access basic rights. Recently, several countries have passed discriminatory laws, including ones criminalizing homosexuality with extraordinarily punitive sentences. GHRC students work alongside civil society organizations in Uganda and around the world to challenge unfair laws and policies. This academic year, students:

Partnered with Chapter Four Uganda and the Makerere University Human Rights and Peace Centre to develop a strategy to challenge discriminatory provisions in the survivor’s benefit clause of the National Social Security Fund Act. In March 2024, GHRC students traveled to Uganda to host the first of its kind moot court competition around this provision. Students partnered with Ugandan colleagues to prepare their arguments, and following the event met with the Minister of Justice to advocate for changes in the law. Currently, students are preparing a joint white paper on the issue, which will be published over the summer of 2024.
In partnership with Stanford Law School International Human Rights and Conflict Resolution Clinic, GHRC students supported major NGOs in countries where new restrictions on sexual orientation and gender identity had been passed to analyze the restrictions and publish public-facing advocacy documents explaining their implications.
Supported the UN Special Rapporteur on Extrajudicial, Summary or Arbitrary Executions with research and legal analysis of LGBTQI+ killings, ahead of a thematic report which he will present to the UN General Assembly in October 2024.

Student Post-Graduate Fellowships

Additionally, GHRC graduating students obtained prestigious fellowships to pursue public interest work post-graduation. In 2023, Nico Thompson Lleras and Marin Murdock both received fellowships to work at Reprieve’s Unlawful Detention program and International Coalition of Sites of Conscience’s Global Initiative for Justice, Truth, and Reconciliation. In 2024, graduating student Bryant King will join the Clooney Foundation for Justice as a legal fellow, and Elisa Epstein received the Equal Justice Works Fellowship to support a two-year fellowship at the American Civil Liberties Union (ACLU).

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Published: 31 August 2024

Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023

Xianru Shang ORCID: orcid.org/0009-0000-8906-3216 1 ,
Zijian Liu 1 ,
Chen Gong 1 ,
Zhigang Hu 1 ,
Yuexuan Wu 1 &
Chengliang Wang ORCID: orcid.org/0000-0003-2208-3508 2

Humanities and Social Sciences Communications volume 11 , Article number: 1115 ( 2024 ) Cite this article

Metrics details

Science, technology and society

The rapid expansion of information technology and the intensification of population aging are two prominent features of contemporary societal development. Investigating older adults’ acceptance and use of technology is key to facilitating their integration into an information-driven society. Given this context, the technology acceptance of older adults has emerged as a prioritized research topic, attracting widespread attention in the academic community. However, existing research remains fragmented and lacks a systematic framework. To address this gap, we employed bibliometric methods, utilizing the Web of Science Core Collection to conduct a comprehensive review of literature on older adults’ technology acceptance from 2013 to 2023. Utilizing VOSviewer and CiteSpace for data assessment and visualization, we created knowledge mappings of research on older adults’ technology acceptance. Our study employed multidimensional methods such as co-occurrence analysis, clustering, and burst analysis to: (1) reveal research dynamics, key journals, and domains in this field; (2) identify leading countries, their collaborative networks, and core research institutions and authors; (3) recognize the foundational knowledge system centered on theoretical model deepening, emerging technology applications, and research methods and evaluation, uncovering seminal literature and observing a shift from early theoretical and influential factor analyses to empirical studies focusing on individual factors and emerging technologies; (4) moreover, current research hotspots are primarily in the areas of factors influencing technology adoption, human-robot interaction experiences, mobile health management, and aging-in-place technology, highlighting the evolutionary context and quality distribution of research themes. Finally, we recommend that future research should deeply explore improvements in theoretical models, long-term usage, and user experience evaluation. Overall, this study presents a clear framework of existing research in the field of older adults’ technology acceptance, providing an important reference for future theoretical exploration and innovative applications.

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Introduction.

In contemporary society, the rapid development of information technology has been intricately intertwined with the intensifying trend of population aging. According to the latest United Nations forecast, by 2050, the global population aged 65 and above is expected to reach 1.6 billion, representing about 16% of the total global population (UN 2023 ). Given the significant challenges of global aging, there is increasing evidence that emerging technologies have significant potential to maintain health and independence for older adults in their home and healthcare environments (Barnard et al. 2013 ; Soar 2010 ; Vancea and Solé-Casals 2016 ). This includes, but is not limited to, enhancing residential safety with smart home technologies (Touqeer et al. 2021 ; Wang et al. 2022 ), improving living independence through wearable technologies (Perez et al. 2023 ), and increasing medical accessibility via telehealth services (Kruse et al. 2020 ). Technological innovations are redefining the lifestyles of older adults, encouraging a shift from passive to active participation (González et al. 2012 ; Mostaghel 2016 ). Nevertheless, the effective application and dissemination of technology still depends on user acceptance and usage intentions (Naseri et al. 2023 ; Wang et al. 2023a ; Xia et al. 2024 ; Yu et al. 2023 ). Particularly, older adults face numerous challenges in accepting and using new technologies. These challenges include not only physical and cognitive limitations but also a lack of technological experience, along with the influences of social and economic factors (Valk et al. 2018 ; Wilson et al. 2021 ).

User acceptance of technology is a significant focus within information systems (IS) research (Dai et al. 2024 ), with several models developed to explain and predict user behavior towards technology usage, including the Technology Acceptance Model (TAM) (Davis 1989 ), TAM2, TAM3, and the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al. 2003 ). Older adults, as a group with unique needs, exhibit different behavioral patterns during technology acceptance than other user groups, and these uniquenesses include changes in cognitive abilities, as well as motivations, attitudes, and perceptions of the use of new technologies (Chen and Chan 2011 ). The continual expansion of technology introduces considerable challenges for older adults, rendering the understanding of their technology acceptance a research priority. Thus, conducting in-depth research into older adults’ acceptance of technology is critically important for enhancing their integration into the information society and improving their quality of life through technological advancements.

Reviewing relevant literature to identify research gaps helps further solidify the theoretical foundation of the research topic. However, many existing literature reviews primarily focus on the factors influencing older adults’ acceptance or intentions to use technology. For instance, Ma et al. ( 2021 ) conducted a comprehensive analysis of the determinants of older adults’ behavioral intentions to use technology; Liu et al. ( 2022 ) categorized key variables in studies of older adults’ technology acceptance, noting a shift in focus towards social and emotional factors; Yap et al. ( 2022 ) identified seven categories of antecedents affecting older adults’ use of technology from an analysis of 26 articles, including technological, psychological, social, personal, cost, behavioral, and environmental factors; Schroeder et al. ( 2023 ) extracted 119 influencing factors from 59 articles and further categorized these into six themes covering demographics, health status, and emotional awareness. Additionally, some studies focus on the application of specific technologies, such as Ferguson et al. ( 2021 ), who explored barriers and facilitators to older adults using wearable devices for heart monitoring, and He et al. ( 2022 ) and Baer et al. ( 2022 ), who each conducted in-depth investigations into the acceptance of social assistive robots and mobile nutrition and fitness apps, respectively. In summary, current literature reviews on older adults’ technology acceptance exhibit certain limitations. Due to the interdisciplinary nature and complex knowledge structure of this field, traditional literature reviews often rely on qualitative analysis, based on literature analysis and periodic summaries, which lack sufficient objectivity and comprehensiveness. Additionally, systematic research is relatively limited, lacking a macroscopic description of the research trajectory from a holistic perspective. Over the past decade, research on older adults’ technology acceptance has experienced rapid growth, with a significant increase in literature, necessitating the adoption of new methods to review and examine the developmental trends in this field (Chen 2006 ; Van Eck and Waltman 2010 ). Bibliometric analysis, as an effective quantitative research method, analyzes published literature through visualization, offering a viable approach to extracting patterns and insights from a large volume of papers, and has been widely applied in numerous scientific research fields (Achuthan et al. 2023 ; Liu and Duffy 2023 ). Therefore, this study will employ bibliometric methods to systematically analyze research articles related to older adults’ technology acceptance published in the Web of Science Core Collection from 2013 to 2023, aiming to understand the core issues and evolutionary trends in the field, and to provide valuable references for future related research. Specifically, this study aims to explore and answer the following questions:

RQ1: What are the research dynamics in the field of older adults’ technology acceptance over the past decade? What are the main academic journals and fields that publish studies related to older adults’ technology acceptance?

RQ2: How is the productivity in older adults’ technology acceptance research distributed among countries, institutions, and authors?

RQ3: What are the knowledge base and seminal literature in older adults’ technology acceptance research? How has the research theme progressed?

RQ4: What are the current hot topics and their evolutionary trajectories in older adults’ technology acceptance research? How is the quality of research distributed?

Methodology and materials

Research method.

In recent years, bibliometrics has become one of the crucial methods for analyzing literature reviews and is widely used in disciplinary and industrial intelligence analysis (Jing et al. 2023 ; Lin and Yu 2024a ; Wang et al. 2024a ; Xu et al. 2021 ). Bibliometric software facilitates the visualization analysis of extensive literature data, intuitively displaying the network relationships and evolutionary processes between knowledge units, and revealing the underlying knowledge structure and potential information (Chen et al. 2024 ; López-Robles et al. 2018 ; Wang et al. 2024c ). This method provides new insights into the current status and trends of specific research areas, along with quantitative evidence, thereby enhancing the objectivity and scientific validity of the research conclusions (Chen et al. 2023 ; Geng et al. 2024 ). VOSviewer and CiteSpace are two widely used bibliometric software tools in academia (Pan et al. 2018 ), recognized for their robust functionalities based on the JAVA platform. Although each has its unique features, combining these two software tools effectively constructs mapping relationships between literature knowledge units and clearly displays the macrostructure of the knowledge domains. Particularly, VOSviewer, with its excellent graphical representation capabilities, serves as an ideal tool for handling large datasets and precisely identifying the focal points and hotspots of research topics. Therefore, this study utilizes VOSviewer (version 1.6.19) and CiteSpace (version 6.1.R6), combined with in-depth literature analysis, to comprehensively examine and interpret the research theme of older adults’ technology acceptance through an integrated application of quantitative and qualitative methods.

Data source

Web of Science is a comprehensively recognized database in academia, featuring literature that has undergone rigorous peer review and editorial scrutiny (Lin and Yu 2024b ; Mongeon and Paul-Hus 2016 ; Pranckutė 2021 ). This study utilizes the Web of Science Core Collection as its data source, specifically including three major citation indices: Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), and Arts & Humanities Citation Index (A&HCI). These indices encompass high-quality research literature in the fields of science, social sciences, and arts and humanities, ensuring the comprehensiveness and reliability of the data. We combined “older adults” with “technology acceptance” through thematic search, with the specific search strategy being: TS = (elder OR elderly OR aging OR ageing OR senile OR senior OR old people OR “older adult*”) AND TS = (“technology acceptance” OR “user acceptance” OR “consumer acceptance”). The time span of literature search is from 2013 to 2023, with the types limited to “Article” and “Review” and the language to “English”. Additionally, the search was completed by October 27, 2023, to avoid data discrepancies caused by database updates. The initial search yielded 764 journal articles. Given that searches often retrieve articles that are superficially relevant but actually non-compliant, manual screening post-search was essential to ensure the relevance of the literature (Chen et al. 2024 ). Through manual screening, articles significantly deviating from the research theme were eliminated and rigorously reviewed. Ultimately, this study obtained 500 valid sample articles from the Web of Science Core Collection. The complete PRISMA screening process is illustrated in Fig. 1 .

Presentation of the data culling process in detail.

Data standardization

Raw data exported from databases often contain multiple expressions of the same terminology (Nguyen and Hallinger 2020 ). To ensure the accuracy and consistency of data, it is necessary to standardize the raw data (Strotmann and Zhao 2012 ). This study follows the data standardization process proposed by Taskin and Al ( 2019 ), mainly executing the following operations:

(1) Standardization of author and institution names is conducted to address different name expressions for the same author. For instance, “Chan, Alan Hoi Shou” and “Chan, Alan H. S.” are considered the same author, and distinct authors with the same name are differentiated by adding identifiers. Diverse forms of institutional names are unified to address variations caused by name changes or abbreviations, such as standardizing “FRANKFURT UNIV APPL SCI” and “Frankfurt University of Applied Sciences,” as well as “Chinese University of Hong Kong” and “University of Hong Kong” to consistent names.

(2) Different expressions of journal names are unified. For example, “International Journal of Human-Computer Interaction” and “Int J Hum Comput Interact” are standardized to a single name. This ensures consistency in journal names and prevents misclassification of literature due to differing journal names. Additionally, it involves checking if the journals have undergone name changes in the past decade to prevent any impact on the analysis due to such changes.

(3) Keywords data are cleansed by removing words that do not directly pertain to specific research content (e.g., people, review), merging synonyms (e.g., “UX” and “User Experience,” “aging-in-place” and “aging in place”), and standardizing plural forms of keywords (e.g., “assistive technologies” and “assistive technology,” “social robots” and “social robot”). This reduces redundant information in knowledge mapping.

Bibliometric results and analysis

Distribution power (rq1), literature descriptive statistical analysis.

Table 1 presents a detailed descriptive statistical overview of the literature in the field of older adults’ technology acceptance. After deduplication using the CiteSpace software, this study confirmed a valid sample size of 500 articles. Authored by 1839 researchers, the documents encompass 792 research institutions across 54 countries and are published in 217 different academic journals. As of the search cutoff date, these articles have accumulated 13,829 citations, with an annual average of 1156 citations, and an average of 27.66 citations per article. The h-index, a composite metric of quantity and quality of scientific output (Kamrani et al. 2021 ), reached 60 in this study.

Trends in publications and disciplinary distribution

The number of publications and citations are significant indicators of the research field’s development, reflecting its continuity, attention, and impact (Ale Ebrahim et al. 2014 ). The ranking of annual publications and citations in the field of older adults’ technology acceptance studies is presented chronologically in Fig. 2A . The figure shows a clear upward trend in the amount of literature in this field. Between 2013 and 2017, the number of publications increased slowly and decreased in 2018. However, in 2019, the number of publications increased rapidly to 52 and reached a peak of 108 in 2022, which is 6.75 times higher than in 2013. In 2022, the frequency of document citations reached its highest point with 3466 citations, reflecting the widespread recognition and citation of research in this field. Moreover, the curve of the annual number of publications fits a quadratic function, with a goodness-of-fit R 2 of 0.9661, indicating that the number of future publications is expected to increase even more rapidly.

A Trends in trends in annual publications and citations (2013–2023). B Overlay analysis of the distribution of discipline fields.

Figure 2B shows that research on older adults’ technology acceptance involves the integration of multidisciplinary knowledge. According to Web of Science Categories, these 500 articles are distributed across 85 different disciplines. We have tabulated the top ten disciplines by publication volume (Table 2 ), which include Medical Informatics (75 articles, 15.00%), Health Care Sciences & Services (71 articles, 14.20%), Gerontology (61 articles, 12.20%), Public Environmental & Occupational Health (57 articles, 11.40%), and Geriatrics & Gerontology (52 articles, 10.40%), among others. The high output in these disciplines reflects the concentrated global academic interest in this comprehensive research topic. Additionally, interdisciplinary research approaches provide diverse perspectives and a solid theoretical foundation for studies on older adults’ technology acceptance, also paving the way for new research directions.

Knowledge flow analysis

A dual-map overlay is a CiteSpace map superimposed on top of a base map, which shows the interrelationships between journals in different domains, representing the publication and citation activities in each domain (Chen and Leydesdorff 2014 ). The overlay map reveals the link between the citing domain (on the left side) and the cited domain (on the right side), reflecting the knowledge flow of the discipline at the journal level (Leydesdorff and Rafols 2012 ). We utilize the in-built Z-score algorithm of the software to cluster the graph, as shown in Fig. 3 .

The left side shows the citing journal, and the right side shows the cited journal.

Figure 3 shows the distribution of citing journals clusters for older adults’ technology acceptance on the left side, while the right side refers to the main cited journals clusters. Two knowledge flow citation trajectories were obtained; they are presented by the color of the cited regions, and the thickness of these trajectories is proportional to the Z-score scaled frequency of citations (Chen et al. 2014 ). Within the cited regions, the most popular fields with the most records covered are “HEALTH, NURSING, MEDICINE” and “PSYCHOLOGY, EDUCATION, SOCIAL”, and the elliptical aspect ratio of these two fields stands out. Fields have prominent elliptical aspect ratios, highlighting their significant influence on older adults’ technology acceptance research. Additionally, the major citation trajectories originate in these two areas and progress to the frontier research area of “PSYCHOLOGY, EDUCATION, HEALTH”. It is worth noting that the citation trajectory from “PSYCHOLOGY, EDUCATION, SOCIAL” has a significant Z-value (z = 6.81), emphasizing the significance and impact of this development path. In the future, “MATHEMATICS, SYSTEMS, MATHEMATICAL”, “MOLECULAR, BIOLOGY, IMMUNOLOGY”, and “NEUROLOGY, SPORTS, OPHTHALMOLOGY” may become emerging fields. The fields of “MEDICINE, MEDICAL, CLINICAL” may be emerging areas of cutting-edge research.

Main research journals analysis

Table 3 provides statistics for the top ten journals by publication volume in the field of older adults’ technology acceptance. Together, these journals have published 137 articles, accounting for 27.40% of the total publications, indicating that there is no highly concentrated core group of journals in this field, with publications being relatively dispersed. Notably, Computers in Human Behavior , Journal of Medical Internet Research , and International Journal of Human-Computer Interaction each lead with 15 publications. In terms of citation metrics, International Journal of Medical Informatics and Computers in Human Behavior stand out significantly, with the former accumulating a total of 1,904 citations, averaging 211.56 citations per article, and the latter totaling 1,449 citations, with an average of 96.60 citations per article. These figures emphasize the academic authority and widespread impact of these journals within the research field.

Research power (RQ2)

Countries and collaborations analysis.

The analysis revealed the global research pattern for country distribution and collaboration (Chen et al. 2019 ). Figure 4A shows the network of national collaborations on older adults’ technology acceptance research. The size of the bubbles represents the amount of publications in each country, while the thickness of the connecting lines expresses the closeness of the collaboration among countries. Generally, this research subject has received extensive international attention, with China and the USA publishing far more than any other countries. China has established notable research collaborations with the USA, UK and Malaysia in this field, while other countries have collaborations, but the closeness is relatively low and scattered. Figure 4B shows the annual publication volume dynamics of the top ten countries in terms of total publications. Since 2017, China has consistently increased its annual publications, while the USA has remained relatively stable. In 2019, the volume of publications in each country increased significantly, this was largely due to the global outbreak of the COVID-19 pandemic, which has led to increased reliance on information technology among the elderly for medical consultations, online socialization, and health management (Sinha et al. 2021 ). This phenomenon has led to research advances in technology acceptance among older adults in various countries. Table 4 shows that the top ten countries account for 93.20% of the total cumulative number of publications, with each country having published more than 20 papers. Among these ten countries, all of them except China are developed countries, indicating that the research field of older adults’ technology acceptance has received general attention from developed countries. Currently, China and the USA were the leading countries in terms of publications with 111 and 104 respectively, accounting for 22.20% and 20.80%. The UK, Germany, Italy, and the Netherlands also made significant contributions. The USA and China ranked first and second in terms of the number of citations, while the Netherlands had the highest average citations, indicating the high impact and quality of its research. The UK has shown outstanding performance in international cooperation, while the USA highlights its significant academic influence in this field with the highest h-index value.

A National collaboration network. B Annual volume of publications in the top 10 countries.

Institutions and authors analysis

Analyzing the number of publications and citations can reveal an institution’s or author’s research strength and influence in a particular research area (Kwiek 2021 ). Tables 5 and 6 show the statistics of the institutions and authors whose publication counts are in the top ten, respectively. As shown in Table 5 , higher education institutions hold the main position in this research field. Among the top ten institutions, City University of Hong Kong and The University of Hong Kong from China lead with 14 and 9 publications, respectively. City University of Hong Kong has the highest h-index, highlighting its significant influence in the field. It is worth noting that Tilburg University in the Netherlands is not among the top five in terms of publications, but the high average citation count (130.14) of its literature demonstrates the high quality of its research.

After analyzing the authors’ output using Price’s Law (Redner 1998 ), the highest number of publications among the authors counted ( n = 10) defines a publication threshold of 3 for core authors in this research area. As a result of quantitative screening, a total of 63 core authors were identified. Table 6 shows that Chen from Zhejiang University, China, Ziefle from RWTH Aachen University, Germany, and Rogers from Macquarie University, Australia, were the top three authors in terms of the number of publications, with 10, 9, and 8 articles, respectively. In terms of average citation rate, Peek and Wouters, both scholars from the Netherlands, have significantly higher rates than other scholars, with 183.2 and 152.67 respectively. This suggests that their research is of high quality and widely recognized. Additionally, Chen and Rogers have high h-indices in this field.

Knowledge base and theme progress (RQ3)

Research knowledge base.

Co-citation relationships occur when two documents are cited together (Zhang and Zhu 2022 ). Co-citation mapping uses references as nodes to represent the knowledge base of a subject area (Min et al. 2021). Figure 5A illustrates co-occurrence mapping in older adults’ technology acceptance research, where larger nodes signify higher co-citation frequencies. Co-citation cluster analysis can be used to explore knowledge structure and research boundaries (Hota et al. 2020 ; Shiau et al. 2023 ). The co-citation clustering mapping of older adults’ technology acceptance research literature (Fig. 5B ) shows that the Q value of the clustering result is 0.8129 (>0.3), and the average value of the weight S is 0.9391 (>0.7), indicating that the clusters are uniformly distributed with a significant and credible structure. This further proves that the boundaries of the research field are clear and there is significant differentiation in the field. The figure features 18 cluster labels, each associated with thematic color blocks corresponding to different time slices. Highlighted emerging research themes include #2 Smart Home Technology, #7 Social Live, and #10 Customer Service. Furthermore, the clustering labels extracted are primarily classified into three categories: theoretical model deepening, emerging technology applications, research methods and evaluation, as detailed in Table 7 .

A Co-citation analysis of references. B Clustering network analysis of references.

Seminal literature analysis

The top ten nodes in terms of co-citation frequency were selected for further analysis. Table 8 displays the corresponding node information. Studies were categorized into four main groups based on content analysis. (1) Research focusing on specific technology usage by older adults includes studies by Peek et al. ( 2014 ), Ma et al. ( 2016 ), Hoque and Sorwar ( 2017 ), and Li et al. ( 2019 ), who investigated the factors influencing the use of e-technology, smartphones, mHealth, and smart wearables, respectively. (2) Concerning the development of theoretical models of technology acceptance, Chen and Chan ( 2014 ) introduced the Senior Technology Acceptance Model (STAM), and Macedo ( 2017 ) analyzed the predictive power of UTAUT2 in explaining older adults’ intentional behaviors and information technology usage. (3) In exploring older adults’ information technology adoption and behavior, Lee and Coughlin ( 2015 ) emphasized that the adoption of technology by older adults is a multifactorial process that includes performance, price, value, usability, affordability, accessibility, technical support, social support, emotion, independence, experience, and confidence. Yusif et al. ( 2016 ) conducted a literature review examining the key barriers affecting older adults’ adoption of assistive technology, including factors such as privacy, trust, functionality/added value, cost, and stigma. (4) From the perspective of research into older adults’ technology acceptance, Mitzner et al. ( 2019 ) assessed the long-term usage of computer systems designed for the elderly, whereas Guner and Acarturk ( 2020 ) compared information technology usage and acceptance between older and younger adults. The breadth and prevalence of this literature make it a vital reference for researchers in the field, also providing new perspectives and inspiration for future research directions.

Research thematic progress

Burst citation is a node of literature that guides the sudden change in dosage, which usually represents a prominent development or major change in a particular field, with innovative and forward-looking qualities. By analyzing the emergent literature, it is often easy to understand the dynamics of the subject area, mapping the emerging thematic change (Chen et al. 2022 ). Figure 6 shows the burst citation mapping in the field of older adults’ technology acceptance research, with burst citations represented by red nodes (Fig. 6A ). For the ten papers with the highest burst intensity (Fig. 6B ), this study will conduct further analysis in conjunction with literature review.

A Burst detection of co-citation. B The top 10 references with the strongest citation bursts.

As shown in Fig. 6 , Mitzner et al. ( 2010 ) broke the stereotype that older adults are fearful of technology, found that they actually have positive attitudes toward technology, and emphasized the centrality of ease of use and usefulness in the process of technology acceptance. This finding provides an important foundation for subsequent research. During the same period, Wagner et al. ( 2010 ) conducted theory-deepening and applied research on technology acceptance among older adults. The research focused on older adults’ interactions with computers from the perspective of Social Cognitive Theory (SCT). This expanded the understanding of technology acceptance, particularly regarding the relationship between behavior, environment, and other SCT elements. In addition, Pan and Jordan-Marsh ( 2010 ) extended the TAM to examine the interactions among predictors of perceived usefulness, perceived ease of use, subjective norm, and convenience conditions when older adults use the Internet, taking into account the moderating roles of gender and age. Heerink et al. ( 2010 ) adapted and extended the UTAUT, constructed a technology acceptance model specifically designed for older users’ acceptance of assistive social agents, and validated it using controlled experiments and longitudinal data, explaining intention to use by combining functional assessment and social interaction variables.

Then the research theme shifted to an in-depth analysis of the factors influencing technology acceptance among older adults. Two papers with high burst strengths emerged during this period: Peek et al. ( 2014 ) (Strength = 12.04), Chen and Chan ( 2014 ) (Strength = 9.81). Through a systematic literature review and empirical study, Peek STM and Chen K, among others, identified multidimensional factors that influence older adults’ technology acceptance. Peek et al. ( 2014 ) analyzed literature on the acceptance of in-home care technology among older adults and identified six factors that influence their acceptance: concerns about technology, expected benefits, technology needs, technology alternatives, social influences, and older adult characteristics, with a focus on differences between pre- and post-implementation factors. Chen and Chan ( 2014 ) constructed the STAM by administering a questionnaire to 1012 older adults and adding eight important factors, including technology anxiety, self-efficacy, cognitive ability, and physical function, based on the TAM. This enriches the theoretical foundation of the field. In addition, Braun ( 2013 ) highlighted the role of perceived usefulness, trust in social networks, and frequency of Internet use in older adults’ use of social networks, while ease of use and social pressure were not significant influences. These findings contribute to the study of older adults’ technology acceptance within specific technology application domains.

Recent research has focused on empirical studies of personal factors and emerging technologies. Ma et al. ( 2016 ) identified key personal factors affecting smartphone acceptance among older adults through structured questionnaires and face-to-face interviews with 120 participants. The study found that cost, self-satisfaction, and convenience were important factors influencing perceived usefulness and ease of use. This study offers empirical evidence to comprehend the main factors that drive smartphone acceptance among Chinese older adults. Additionally, Yusif et al. ( 2016 ) presented an overview of the obstacles that hinder older adults’ acceptance of assistive technologies, focusing on privacy, trust, and functionality.

In summary, research on older adults’ technology acceptance has shifted from early theoretical deepening and analysis of influencing factors to empirical studies in the areas of personal factors and emerging technologies, which have greatly enriched the theoretical basis of older adults’ technology acceptance and provided practical guidance for the design of emerging technology products.

Research hotspots, evolutionary trends, and quality distribution (RQ4)

Core keywords analysis.

Keywords concise the main idea and core of the literature, and are a refined summary of the research content (Huang et al. 2021 ). In CiteSpace, nodes with a centrality value greater than 0.1 are considered to be critical nodes. Analyzing keywords with high frequency and centrality helps to visualize the hot topics in the research field (Park et al. 2018 ). The merged keywords were imported into CiteSpace, and the top 10 keywords were counted and sorted by frequency and centrality respectively, as shown in Table 9 . The results show that the keyword “TAM” has the highest frequency (92), followed by “UTAUT” (24), which reflects that the in-depth study of the existing technology acceptance model and its theoretical expansion occupy a central position in research related to older adults’ technology acceptance. Furthermore, the terms ‘assistive technology’ and ‘virtual reality’ are both high-frequency and high-centrality terms (frequency = 17, centrality = 0.10), indicating that the research on assistive technology and virtual reality for older adults is the focus of current academic attention.

Research hotspots analysis

Using VOSviewer for keyword co-occurrence analysis organizes keywords into groups or clusters based on their intrinsic connections and frequencies, clearly highlighting the research field’s hot topics. The connectivity among keywords reveals correlations between different topics. To ensure accuracy, the analysis only considered the authors’ keywords. Subsequently, the keywords were filtered by setting the keyword frequency to 5 to obtain the keyword clustering map of the research on older adults’ technology acceptance research keyword clustering mapping (Fig. 7 ), combined with the keyword co-occurrence clustering network (Fig. 7A ) and the corresponding density situation (Fig. 7B ) to make a detailed analysis of the following four groups of clustered themes.

A Co-occurrence clustering network. B Keyword density.

Cluster #1—Research on the factors influencing technology adoption among older adults is a prominent topic, covering age, gender, self-efficacy, attitude, and and intention to use (Berkowsky et al. 2017 ; Wang et al. 2017 ). It also examined older adults’ attitudes towards and acceptance of digital health technologies (Ahmad and Mozelius, 2022 ). Moreover, the COVID-19 pandemic, significantly impacting older adults’ technology attitudes and usage, has underscored the study’s importance and urgency. Therefore, it is crucial to conduct in-depth studies on how older adults accept, adopt, and effectively use new technologies, to address their needs and help them overcome the digital divide within digital inclusion. This will improve their quality of life and healthcare experiences.

Cluster #2—Research focuses on how older adults interact with assistive technologies, especially assistive robots and health monitoring devices, emphasizing trust, usability, and user experience as crucial factors (Halim et al. 2022 ). Moreover, health monitoring technologies effectively track and manage health issues common in older adults, like dementia and mild cognitive impairment (Lussier et al. 2018 ; Piau et al. 2019 ). Interactive exercise games and virtual reality have been deployed to encourage more physical and cognitive engagement among older adults (Campo-Prieto et al. 2021 ). Personalized and innovative technology significantly enhances older adults’ participation, improving their health and well-being.

Cluster #3—Optimizing health management for older adults using mobile technology. With the development of mobile health (mHealth) and health information technology, mobile applications, smartphones, and smart wearable devices have become effective tools to help older users better manage chronic conditions, conduct real-time health monitoring, and even receive telehealth services (Dupuis and Tsotsos 2018 ; Olmedo-Aguirre et al. 2022 ; Kim et al. 2014 ). Additionally, these technologies can mitigate the problem of healthcare resource inequality, especially in developing countries. Older adults’ acceptance and use of these technologies are significantly influenced by their behavioral intentions, motivational factors, and self-management skills. These internal motivational factors, along with external factors, jointly affect older adults’ performance in health management and quality of life.

Cluster #4—Research on technology-assisted home care for older adults is gaining popularity. Environmentally assisted living enhances older adults’ independence and comfort at home, offering essential support and security. This has a crucial impact on promoting healthy aging (Friesen et al. 2016 ; Wahlroos et al. 2023 ). The smart home is a core application in this field, providing a range of solutions that facilitate independent living for the elderly in a highly integrated and user-friendly manner. This fulfills different dimensions of living and health needs (Majumder et al. 2017 ). Moreover, eHealth offers accurate and personalized health management and healthcare services for older adults (Delmastro et al. 2018 ), ensuring their needs are met at home. Research in this field often employs qualitative methods and structural equation modeling to fully understand older adults’ needs and experiences at home and analyze factors influencing technology adoption.

Evolutionary trends analysis

To gain a deeper understanding of the evolutionary trends in research hotspots within the field of older adults’ technology acceptance, we conducted a statistical analysis of the average appearance times of keywords, using CiteSpace to generate the time-zone evolution mapping (Fig. 8 ) and burst keywords. The time-zone mapping visually displays the evolution of keywords over time, intuitively reflecting the frequency and initial appearance of keywords in research, commonly used to identify trends in research topics (Jing et al. 2024a ; Kumar et al. 2021 ). Table 10 lists the top 15 keywords by burst strength, with the red sections indicating high-frequency citations and their burst strength in specific years. These burst keywords reveal the focus and trends of research themes over different periods (Kleinberg 2002 ). Combining insights from the time-zone mapping and burst keywords provides more objective and accurate research insights (Wang et al. 2023b ).

Reflecting the frequency and time of first appearance of keywords in the study.

An integrated analysis of Fig. 8 and Table 10 shows that early research on older adults’ technology acceptance primarily focused on factors such as perceived usefulness, ease of use, and attitudes towards information technology, including their use of computers and the internet (Pan and Jordan-Marsh 2010 ), as well as differences in technology use between older adults and other age groups (Guner and Acarturk 2020 ). Subsequently, the research focus expanded to improving the quality of life for older adults, exploring how technology can optimize health management and enhance the possibility of independent living, emphasizing the significant role of technology in improving the quality of life for the elderly. With ongoing technological advancements, recent research has shifted towards areas such as “virtual reality,” “telehealth,” and “human-robot interaction,” with a focus on the user experience of older adults (Halim et al. 2022 ). The appearance of keywords such as “physical activity” and “exercise” highlights the value of technology in promoting physical activity and health among older adults. This phase of research tends to make cutting-edge technology genuinely serve the practical needs of older adults, achieving its widespread application in daily life. Additionally, research has focused on expanding and quantifying theoretical models of older adults’ technology acceptance, involving keywords such as “perceived risk”, “validation” and “UTAUT”.

In summary, from 2013 to 2023, the field of older adults’ technology acceptance has evolved from initial explorations of influencing factors, to comprehensive enhancements in quality of life and health management, and further to the application and deepening of theoretical models and cutting-edge technologies. This research not only reflects the diversity and complexity of the field but also demonstrates a comprehensive and in-depth understanding of older adults’ interactions with technology across various life scenarios and needs.

Research quality distribution

To reveal the distribution of research quality in the field of older adults’ technology acceptance, a strategic diagram analysis is employed to calculate and illustrate the internal development and interrelationships among various research themes (Xie et al. 2020 ). The strategic diagram uses Centrality as the X-axis and Density as the Y-axis to divide into four quadrants, where the X-axis represents the strength of the connection between thematic clusters and other themes, with higher values indicating a central position in the research field; the Y-axis indicates the level of development within the thematic clusters, with higher values denoting a more mature and widely recognized field (Li and Zhou 2020 ).

Through cluster analysis and manual verification, this study categorized 61 core keywords (Frequency ≥5) into 11 thematic clusters. Subsequently, based on the keywords covered by each thematic cluster, the research themes and their directions for each cluster were summarized (Table 11 ), and the centrality and density coordinates for each cluster were precisely calculated (Table 12 ). Finally, a strategic diagram of the older adults’ technology acceptance research field was constructed (Fig. 9 ). Based on the distribution of thematic clusters across the quadrants in the strategic diagram, the structure and developmental trends of the field were interpreted.

Classification and visualization of theme clusters based on density and centrality.

As illustrated in Fig. 9 , (1) the theme clusters of #3 Usage Experience and #4 Assisted Living Technology are in the first quadrant, characterized by high centrality and density. Their internal cohesion and close links with other themes indicate their mature development, systematic research content or directions have been formed, and they have a significant influence on other themes. These themes play a central role in the field of older adults’ technology acceptance and have promising prospects. (2) The theme clusters of #6 Smart Devices, #9 Theoretical Models, and #10 Mobile Health Applications are in the second quadrant, with higher density but lower centrality. These themes have strong internal connections but weaker external links, indicating that these three themes have received widespread attention from researchers and have been the subject of related research, but more as self-contained systems and exhibit independence. Therefore, future research should further explore in-depth cooperation and cross-application with other themes. (3) The theme clusters of #7 Human-Robot Interaction, #8 Characteristics of the Elderly, and #11 Research Methods are in the third quadrant, with lower centrality and density. These themes are loosely connected internally and have weak links with others, indicating their developmental immaturity. Compared to other topics, they belong to the lower attention edge and niche themes, and there is a need for further investigation. (4) The theme clusters of #1 Digital Healthcare Technology, #2 Psychological Factors, and #5 Socio-Cultural Factors are located in the fourth quadrant, with high centrality but low density. Although closely associated with other research themes, the internal cohesion within these clusters is relatively weak. This suggests that while these themes are closely linked to other research areas, their own development remains underdeveloped, indicating a core immaturity. Nevertheless, these themes are crucial within the research domain of elderly technology acceptance and possess significant potential for future exploration.

Discussion on distribution power (RQ1)

Over the past decade, academic interest and influence in the area of older adults’ technology acceptance have significantly increased. This trend is evidenced by a quantitative analysis of publication and citation volumes, particularly noticeable in 2019 and 2022, where there was a substantial rise in both metrics. The rise is closely linked to the widespread adoption of emerging technologies such as smart homes, wearable devices, and telemedicine among older adults. While these technologies have enhanced their quality of life, they also pose numerous challenges, sparking extensive research into their acceptance, usage behaviors, and influencing factors among the older adults (Pirzada et al. 2022 ; Garcia Reyes et al. 2023 ). Furthermore, the COVID-19 pandemic led to a surge in technology demand among older adults, especially in areas like medical consultation, online socialization, and health management, further highlighting the importance and challenges of technology. Health risks and social isolation have compelled older adults to rely on technology for daily activities, accelerating its adoption and application within this demographic. This phenomenon has made technology acceptance a critical issue, driving societal and academic focus on the study of technology acceptance among older adults.

The flow of knowledge at the level of high-output disciplines and journals, along with the primary publishing outlets, indicates the highly interdisciplinary nature of research into older adults’ technology acceptance. This reflects the complexity and breadth of issues related to older adults’ technology acceptance, necessitating the integration of multidisciplinary knowledge and approaches. Currently, research is primarily focused on medical health and human-computer interaction, demonstrating academic interest in improving health and quality of life for older adults and addressing the urgent needs related to their interactions with technology. In the field of medical health, research aims to provide advanced and innovative healthcare technologies and services to meet the challenges of an aging population while improving the quality of life for older adults (Abdi et al. 2020 ; Wilson et al. 2021 ). In the field of human-computer interaction, research is focused on developing smarter and more user-friendly interaction models to meet the needs of older adults in the digital age, enabling them to actively participate in social activities and enjoy a higher quality of life (Sayago, 2019 ). These studies are crucial for addressing the challenges faced by aging societies, providing increased support and opportunities for the health, welfare, and social participation of older adults.

Discussion on research power (RQ2)

This study analyzes leading countries and collaboration networks, core institutions and authors, revealing the global research landscape and distribution of research strength in the field of older adults’ technology acceptance, and presents quantitative data on global research trends. From the analysis of country distribution and collaborations, China and the USA hold dominant positions in this field, with developed countries like the UK, Germany, Italy, and the Netherlands also excelling in international cooperation and research influence. The significant investment in technological research and the focus on the technological needs of older adults by many developed countries reflect their rapidly aging societies, policy support, and resource allocation.

China is the only developing country that has become a major contributor in this field, indicating its growing research capabilities and high priority given to aging societies and technological innovation. Additionally, China has close collaborations with countries such as USA, the UK, and Malaysia, driven not only by technological research needs but also by shared challenges and complementarities in aging issues among these nations. For instance, the UK has extensive experience in social welfare and aging research, providing valuable theoretical guidance and practical experience. International collaborations, aimed at addressing the challenges of aging, integrate the strengths of various countries, advancing in-depth and widespread development in the research of technology acceptance among older adults.

At the institutional and author level, City University of Hong Kong leads in publication volume, with research teams led by Chan and Chen demonstrating significant academic activity and contributions. Their research primarily focuses on older adults’ acceptance and usage behaviors of various technologies, including smartphones, smart wearables, and social robots (Chen et al. 2015 ; Li et al. 2019 ; Ma et al. 2016 ). These studies, targeting specific needs and product characteristics of older adults, have developed new models of technology acceptance based on existing frameworks, enhancing the integration of these technologies into their daily lives and laying a foundation for further advancements in the field. Although Tilburg University has a smaller publication output, it holds significant influence in the field of older adults’ technology acceptance. Particularly, the high citation rate of Peek’s studies highlights their excellence in research. Peek extensively explored older adults’ acceptance and usage of home care technologies, revealing the complexity and dynamics of their technology use behaviors. His research spans from identifying systemic influencing factors (Peek et al. 2014 ; Peek et al. 2016 ), emphasizing familial impacts (Luijkx et al. 2015 ), to constructing comprehensive models (Peek et al. 2017 ), and examining the dynamics of long-term usage (Peek et al. 2019 ), fully reflecting the evolving technology landscape and the changing needs of older adults. Additionally, the ongoing contributions of researchers like Ziefle, Rogers, and Wouters in the field of older adults’ technology acceptance demonstrate their research influence and leadership. These researchers have significantly enriched the knowledge base in this area with their diverse perspectives. For instance, Ziefle has uncovered the complex attitudes of older adults towards technology usage, especially the trade-offs between privacy and security, and how different types of activities affect their privacy needs (Maidhof et al. 2023 ; Mujirishvili et al. 2023 ; Schomakers and Ziefle 2023 ; Wilkowska et al. 2022 ), reflecting a deep exploration and ongoing innovation in the field of older adults’ technology acceptance.

Discussion on knowledge base and thematic progress (RQ3)

Through co-citation analysis and systematic review of seminal literature, this study reveals the knowledge foundation and thematic progress in the field of older adults’ technology acceptance. Co-citation networks and cluster analyses illustrate the structural themes of the research, delineating the differentiation and boundaries within this field. Additionally, burst detection analysis offers a valuable perspective for understanding the thematic evolution in the field of technology acceptance among older adults. The development and innovation of theoretical models are foundational to this research. Researchers enhance the explanatory power of constructed models by deepening and expanding existing technology acceptance theories to address theoretical limitations. For instance, Heerink et al. ( 2010 ) modified and expanded the UTAUT model by integrating functional assessment and social interaction variables to create the almere model. This model significantly enhances the ability to explain the intentions of older users in utilizing assistive social agents and improves the explanation of actual usage behaviors. Additionally, Chen and Chan ( 2014 ) extended the TAM to include age-related health and capability features of older adults, creating the STAM, which substantially improves predictions of older adults’ technology usage behaviors. Personal attributes, health and capability features, and facilitating conditions have a direct impact on technology acceptance. These factors more effectively predict older adults’ technology usage behaviors than traditional attitudinal factors.

With the advancement of technology and the application of emerging technologies, new research topics have emerged, increasingly focusing on older adults’ acceptance and use of these technologies. Prior to this, the study by Mitzner et al. ( 2010 ) challenged the stereotype of older adults’ conservative attitudes towards technology, highlighting the central roles of usability and usefulness in the technology acceptance process. This discovery laid an important foundation for subsequent research. Research fields such as “smart home technology,” “social life,” and “customer service” are emerging, indicating a shift in focus towards the practical and social applications of technology in older adults’ lives. Research not only focuses on the technology itself but also on how these technologies integrate into older adults’ daily lives and how they can improve the quality of life through technology. For instance, studies such as those by Ma et al. ( 2016 ), Hoque and Sorwar ( 2017 ), and Li et al. ( 2019 ) have explored factors influencing older adults’ use of smartphones, mHealth, and smart wearable devices.

Furthermore, the diversification of research methodologies and innovation in evaluation techniques, such as the use of mixed methods, structural equation modeling (SEM), and neural network (NN) approaches, have enhanced the rigor and reliability of the findings, enabling more precise identification of the factors and mechanisms influencing technology acceptance. Talukder et al. ( 2020 ) employed an effective multimethodological strategy by integrating SEM and NN to leverage the complementary strengths of both approaches, thus overcoming their individual limitations and more accurately analyzing and predicting older adults’ acceptance of wearable health technologies (WHT). SEM is utilized to assess the determinants’ impact on the adoption of WHT, while neural network models validate SEM outcomes and predict the significance of key determinants. This combined approach not only boosts the models’ reliability and explanatory power but also provides a nuanced understanding of the motivations and barriers behind older adults’ acceptance of WHT, offering deep research insights.

Overall, co-citation analysis of the literature in the field of older adults’ technology acceptance has uncovered deeper theoretical modeling and empirical studies on emerging technologies, while emphasizing the importance of research methodological and evaluation innovations in understanding complex social science issues. These findings are crucial for guiding the design and marketing strategies of future technology products, especially in the rapidly growing market of older adults.

Discussion on research hotspots and evolutionary trends (RQ4)

By analyzing core keywords, we can gain deep insights into the hot topics, evolutionary trends, and quality distribution of research in the field of older adults’ technology acceptance. The frequent occurrence of the keywords “TAM” and “UTAUT” indicates that the applicability and theoretical extension of existing technology acceptance models among older adults remain a focal point in academia. This phenomenon underscores the enduring influence of the studies by Davis ( 1989 ) and Venkatesh et al. ( 2003 ), whose models provide a robust theoretical framework for explaining and predicting older adults’ acceptance and usage of emerging technologies. With the widespread application of artificial intelligence (AI) and big data technologies, these theoretical models have incorporated new variables such as perceived risk, trust, and privacy issues (Amin et al. 2024 ; Chen et al. 2024 ; Jing et al. 2024b ; Seibert et al. 2021 ; Wang et al. 2024b ), advancing the theoretical depth and empirical research in this field.

Keyword co-occurrence cluster analysis has revealed multiple research hotspots in the field, including factors influencing technology adoption, interactive experiences between older adults and assistive technologies, the application of mobile health technology in health management, and technology-assisted home care. These studies primarily focus on enhancing the quality of life and health management of older adults through emerging technologies, particularly in the areas of ambient assisted living, smart health monitoring, and intelligent medical care. In these domains, the role of AI technology is increasingly significant (Qian et al. 2021 ; Ho 2020 ). With the evolution of next-generation information technologies, AI is increasingly integrated into elder care systems, offering intelligent, efficient, and personalized service solutions by analyzing the lifestyles and health conditions of older adults. This integration aims to enhance older adults’ quality of life in aspects such as health monitoring and alerts, rehabilitation assistance, daily health management, and emotional support (Lee et al. 2023 ). A survey indicates that 83% of older adults prefer AI-driven solutions when selecting smart products, demonstrating the increasing acceptance of AI in elder care (Zhao and Li 2024 ). Integrating AI into elder care presents both opportunities and challenges, particularly in terms of user acceptance, trust, and long-term usage effects, which warrant further exploration (Mhlanga 2023 ). These studies will help better understand the profound impact of AI technology on the lifestyles of older adults and provide critical references for optimizing AI-driven elder care services.

The Time-zone evolution mapping and burst keyword analysis further reveal the evolutionary trends of research hotspots. Early studies focused on basic technology acceptance models and user perceptions, later expanding to include quality of life and health management. In recent years, research has increasingly focused on cutting-edge technologies such as virtual reality, telehealth, and human-robot interaction, with a concurrent emphasis on the user experience of older adults. This evolutionary process demonstrates a deepening shift from theoretical models to practical applications, underscoring the significant role of technology in enhancing the quality of life for older adults. Furthermore, the strategic coordinate mapping analysis clearly demonstrates the development and mutual influence of different research themes. High centrality and density in the themes of Usage Experience and Assisted Living Technology indicate their mature research status and significant impact on other themes. The themes of Smart Devices, Theoretical Models, and Mobile Health Applications demonstrate self-contained research trends. The themes of Human-Robot Interaction, Characteristics of the Elderly, and Research Methods are not yet mature, but they hold potential for development. Themes of Digital Healthcare Technology, Psychological Factors, and Socio-Cultural Factors are closely related to other themes, displaying core immaturity but significant potential.

In summary, the research hotspots in the field of older adults’ technology acceptance are diverse and dynamic, demonstrating the academic community’s profound understanding of how older adults interact with technology across various life contexts and needs. Under the influence of AI and big data, research should continue to focus on the application of emerging technologies among older adults, exploring in depth how they adapt to and effectively use these technologies. This not only enhances the quality of life and healthcare experiences for older adults but also drives ongoing innovation and development in this field.

Research agenda

Based on the above research findings, to further understand and promote technology acceptance and usage among older adults, we recommend future studies focus on refining theoretical models, exploring long-term usage, and assessing user experience in the following detailed aspects:

Refinement and validation of specific technology acceptance models for older adults: Future research should focus on developing and validating technology acceptance models based on individual characteristics, particularly considering variations in technology acceptance among older adults across different educational levels and cultural backgrounds. This includes factors such as age, gender, educational background, and cultural differences. Additionally, research should examine how well specific technologies, such as wearable devices and mobile health applications, meet the needs of older adults. Building on existing theoretical models, this research should integrate insights from multiple disciplines such as psychology, sociology, design, and engineering through interdisciplinary collaboration to create more accurate and comprehensive models, which should then be validated in relevant contexts.

Deepening the exploration of the relationship between long-term technology use and quality of life among older adults: The acceptance and use of technology by users is a complex and dynamic process (Seuwou et al. 2016 ). Existing research predominantly focuses on older adults’ initial acceptance or short-term use of new technologies; however, the impact of long-term use on their quality of life and health is more significant. Future research should focus on the evolution of older adults’ experiences and needs during long-term technology usage, and the enduring effects of technology on their social interactions, mental health, and life satisfaction. Through longitudinal studies and qualitative analysis, this research reveals the specific needs and challenges of older adults in long-term technology use, providing a basis for developing technologies and strategies that better meet their requirements. This understanding aids in comprehensively assessing the impact of technology on older adults’ quality of life and guiding the optimization and improvement of technological products.

Evaluating the Importance of User Experience in Research on Older Adults’ Technology Acceptance: Understanding the mechanisms of information technology acceptance and use is central to human-computer interaction research. Although technology acceptance models and user experience models differ in objectives, they share many potential intersections. Technology acceptance research focuses on structured prediction and assessment, while user experience research concentrates on interpreting design impacts and new frameworks. Integrating user experience to assess older adults’ acceptance of technology products and systems is crucial (Codfrey et al. 2022 ; Wang et al. 2019 ), particularly for older users, where specific product designs should emphasize practicality and usability (Fisk et al. 2020 ). Researchers need to explore innovative age-appropriate design methods to enhance older adults’ usage experience. This includes studying older users’ actual usage preferences and behaviors, optimizing user interfaces, and interaction designs. Integrating feedback from older adults to tailor products to their needs can further promote their acceptance and continued use of technology products.

Conclusions

This study conducted a systematic review of the literature on older adults’ technology acceptance over the past decade through bibliometric analysis, focusing on the distribution power, research power, knowledge base and theme progress, research hotspots, evolutionary trends, and quality distribution. Using a combination of quantitative and qualitative methods, this study has reached the following conclusions:

Technology acceptance among older adults has become a hot topic in the international academic community, involving the integration of knowledge across multiple disciplines, including Medical Informatics, Health Care Sciences Services, and Ergonomics. In terms of journals, “PSYCHOLOGY, EDUCATION, HEALTH” represents a leading field, with key publications including Computers in Human Behavior , Journal of Medical Internet Research , and International Journal of Human-Computer Interaction . These journals possess significant academic authority and extensive influence in the field.

Research on technology acceptance among older adults is particularly active in developed countries, with China and USA publishing significantly more than other nations. The Netherlands leads in high average citation rates, indicating the depth and impact of its research. Meanwhile, the UK stands out in terms of international collaboration. At the institutional level, City University of Hong Kong and The University of Hong Kong in China are in leading positions. Tilburg University in the Netherlands demonstrates exceptional research quality through its high average citation count. At the author level, Chen from China has the highest number of publications, while Peek from the Netherlands has the highest average citation count.

Co-citation analysis of references indicates that the knowledge base in this field is divided into three main categories: theoretical model deepening, emerging technology applications, and research methods and evaluation. Seminal literature focuses on four areas: specific technology use by older adults, expansion of theoretical models of technology acceptance, information technology adoption behavior, and research perspectives. Research themes have evolved from initial theoretical deepening and analysis of influencing factors to empirical studies on individual factors and emerging technologies.

Keyword analysis indicates that TAM and UTAUT are the most frequently occurring terms, while “assistive technology” and “virtual reality” are focal points with high frequency and centrality. Keyword clustering analysis reveals that research hotspots are concentrated on the influencing factors of technology adoption, human-robot interaction experiences, mobile health management, and technology for aging in place. Time-zone evolution mapping and burst keyword analysis have revealed the research evolution from preliminary exploration of influencing factors, to enhancements in quality of life and health management, and onto advanced technology applications and deepening of theoretical models. Furthermore, analysis of research quality distribution indicates that Usage Experience and Assisted Living Technology have become core topics, while Smart Devices, Theoretical Models, and Mobile Health Applications point towards future research directions.

Through this study, we have systematically reviewed the dynamics, core issues, and evolutionary trends in the field of older adults’ technology acceptance, constructing a comprehensive Knowledge Mapping of the domain and presenting a clear framework of existing research. This not only lays the foundation for subsequent theoretical discussions and innovative applications in the field but also provides an important reference for relevant scholars.

Limitations

To our knowledge, this is the first bibliometric analysis concerning technology acceptance among older adults, and we adhered strictly to bibliometric standards throughout our research. However, this study relies on the Web of Science Core Collection, and while its authority and breadth are widely recognized, this choice may have missed relevant literature published in other significant databases such as PubMed, Scopus, and Google Scholar, potentially overlooking some critical academic contributions. Moreover, given that our analysis was confined to literature in English, it may not reflect studies published in other languages, somewhat limiting the global representativeness of our data sample.

It is noteworthy that with the rapid development of AI technology, its increasingly widespread application in elderly care services is significantly transforming traditional care models. AI is profoundly altering the lifestyles of the elderly, from health monitoring and smart diagnostics to intelligent home systems and personalized care, significantly enhancing their quality of life and health care standards. The potential for AI technology within the elderly population is immense, and research in this area is rapidly expanding. However, due to the restrictive nature of the search terms used in this study, it did not fully cover research in this critical area, particularly in addressing key issues such as trust, privacy, and ethics.

Consequently, future research should not only expand data sources, incorporating multilingual and multidatabase literature, but also particularly focus on exploring older adults’ acceptance of AI technology and its applications, in order to construct a more comprehensive academic landscape of older adults’ technology acceptance, thereby enriching and extending the knowledge system and academic trends in this field.

Data availability

The datasets analyzed during the current study are available in the Dataverse repository: https://doi.org/10.7910/DVN/6K0GJH .

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This research was supported by the Social Science Foundation of Shaanxi Province in China (Grant No. 2023J014).

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Conceptualization, XS, YW, CW; methodology, XS, ZL, CG, CW; software, XS, CG, YW; writing-original draft preparation, XS, CW; writing-review and editing, XS, CG, ZH, CW; supervision, ZL, ZH, CW; project administration, ZL, ZH, CW; funding acquisition, XS, CG. All authors read and approved the final manuscript. All authors have read and approved the re-submission of the manuscript.

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Correspondence to Chengliang Wang .

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Shang, X., Liu, Z., Gong, C. et al. Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023. Humanit Soc Sci Commun 11 , 1115 (2024). https://doi.org/10.1057/s41599-024-03658-2

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DOI : https://doi.org/10.1057/s41599-024-03658-2

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Methodology and materials

Data source

Data standardization

Bibliometric results and analysis

Trends in publications and disciplinary distribution

Knowledge flow analysis

Main research journals analysis

Research power (RQ2)

Institutions and authors analysis

Knowledge base and theme progress (RQ3)

Seminal literature analysis

Research thematic progress

Research hotspots, evolutionary trends, and quality distribution (RQ4)

Research hotspots analysis

Evolutionary trends analysis

Research quality distribution

Discussion on distribution power (RQ1)

Discussion on research power (RQ2)

Discussion on knowledge base and thematic progress (RQ3)

Discussion on research hotspots and evolutionary trends (RQ4)

Research agenda

Conclusions

Limitations

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