IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v197y2023ics0040162523005978.html
   My bibliography  Save this article

A bibliometric and multi-disciplinary quasi-systematic analysis of social robots: Past, future, and insights of human-robot interaction

Author

Listed:
  • Fosso Wamba, Samuel
  • Queiroz, Maciel M.
  • Hamzi, Lotfi

Abstract

Social robots and their novel applications are slowly emerging to become an indispensable part of society and businesses. While the field of social robotics has been very multidisciplinary since its inception, currently, there is a scarcity of reviews that takes stock of all the past and present literature to critically, comprehensively, and holistically understand how business and management and social science scholars can develop scholarship and contribute to social robotics research. To fill this gap in the literature, we conducted a bibliometric analysis of 4211 articles gathered from Web of Science and SCOPUS databases from all disciplines contributing to understanding social robots area to describe the intellectual and conceptual structures of research in social robots. This is followed by a quasi-systematic review of themes identified in bibliometric analysis to critically analyze the knowledge gaps in existing research and develop research questions that will help in the diffusion and adoption of this technology within the consumer and business space, irrespective of the application sector. Our findings show that better conceptualization of social robots (what they are), acceptance studies in the approximation phase of adoption, and developing measures for cyber resilience and human-centric design will shape societal and organizational perception.

Suggested Citation

  • Fosso Wamba, Samuel & Queiroz, Maciel M. & Hamzi, Lotfi, 2023. "A bibliometric and multi-disciplinary quasi-systematic analysis of social robots: Past, future, and insights of human-robot interaction," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    • Handle: RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523005978
    DOI: 10.1016/j.techfore.2023.122912
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523005978
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122912?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hong Tien Vu & Jeongsub Lim, 2022. "Effects of country and individual factors on public acceptance of artificial intelligence and robotics technologies: a multilevel SEM analysis of 28-country survey data," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(7), pages 1515-1528, May.
    2. Boada, Júlia Pareto & Maestre, Begoña Román & Genís, Carme Torras, 2021. "The ethical issues of social assistive robotics: A critical literature review," Technology in Society, Elsevier, vol. 67(C).
    3. Fosso Wamba, Samuel & Bawack, Ransome Epie & Guthrie, Cameron & Queiroz, Maciel M. & Carillo, Kevin Daniel André, 2021. "Are we preparing for a good AI society? A bibliometric review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    4. Teemu Rantanen & Paula Lehto & Pertti Vuorinen & Kirsi Coco, 2018. "The adoption of care robots in home care—A survey on the attitudes of Finnish home care personnel," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(9-10), pages 1846-1859, May.
    5. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    6. Núria Vallès-Peris & Cecilio Angulo & Miquel Domènech, 2018. "Children’s Imaginaries of Human-Robot Interaction in Healthcare," IJERPH, MDPI, vol. 15(5), pages 1-18, May.
    7. Borghi, Matteo & Mariani, Marcello M., 2022. "The role of emotions in the consumer meaning-making of interactions with social robots," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    8. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    9. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    10. Patricia Baudier & Elodie de Boissieu & Marie-Hélène Duchemin, 2023. "Source Credibility and Emotions generated by Robot and Human Influencers: The perception of luxury brand representatives," Post-Print hal-04314434, HAL.
    11. Johnson, Devon & Grayson, Kent, 2005. "Cognitive and affective trust in service relationships," Journal of Business Research, Elsevier, vol. 58(4), pages 500-507, April.
    12. Nørskov, Sladjana & Damholdt, Malene F. & Ulhøi, John P. & Jensen, Morten Berg & Mathiasen, Mia Krogager & Ess, Charles M. & Seibt, Johanna, 2022. "Employers’ and applicants’ fairness perceptions in job interviews: using a teleoperated robot as a fair proxy," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    13. Baudier, Patricia & de Boissieu, Elodie & Duchemin, Marie-Hélène, 2023. "Source Credibility and Emotions generated by Robot and Human Influencers: The perception of luxury brand representatives," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    14. Søraa, Roger Andre & Nyvoll, Pernille & Tøndel, Gunhild & Fosch-Villaronga, Eduard & Serrano, J. Artur, 2021. "The social dimension of domesticating technology: Interactions between older adults, caregivers, and robots in the home," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    15. Aymerich-Franch, Laura & Ferrer, Iliana, 2022. "Liaison, safeguard, and well-being: Analyzing the role of social robots during the COVID-19 pandemic," Technology in Society, Elsevier, vol. 70(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dang, Ngoc Bich & Bertrandias, Laurent, 2023. "Social robots as healing aids: How and why powerlessness influences the intention to adopt social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Arsenyan, Jbid & Mirowska, Agata & Piepenbrink, Anke, 2023. "Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    3. Fink, Matthias & Maresch, Daniela & Gartner, Johannes, 2023. "Programmed to do good: The categorical imperative as a key to moral behavior of social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Belussi, Fiorenza & Orsi, Luigi & Savarese, Maria, 2019. "Mapping Business Model Research: A Document Bibliometric Analysis," Scandinavian Journal of Management, Elsevier, vol. 35(3).
    5. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    7. Lysander Weiss & Dominik Kanbach, 2022. "Toward an integrated framework of corporate venturing for organizational ambidexterity as a dynamic capability," Management Review Quarterly, Springer, vol. 72(4), pages 1129-1170, December.
    8. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2023. "Acceptance of social robot and its challenges: From privacy calculus perspectives," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    9. Amitabh Anand & Louise Brøns Kringelum & Charlotte Øland Madsen & Louisa Selivanovskikh, 2020. "Interorganizational learning: a bibliometric review and research agenda," Post-Print hal-02870017, HAL.
    10. Wang, Xinxin & Qin, Yong & Xu, Zeshui & Škare, Marinko, 2022. "A look at the focus shift in innovation literature due to Covid-19 pandemic," Journal of Business Research, Elsevier, vol. 145(C), pages 1-20.
    11. Baudier, Patricia & de Boissieu, Elodie & Duchemin, Marie-Hélène, 2023. "Source Credibility and Emotions generated by Robot and Human Influencers: The perception of luxury brand representatives," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    12. Arman Avadikyan & Gilles Lambert & Christophe Lerch, 2016. "A Multi-Level Perspective on Ambidexterity: The Case of a Synchrotron Research Facility," Working Papers of BETA 2016-44, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    13. Henri A. Schildt & Markku V.J. Maula & Thomas Keil, 2005. "Explorative and Exploitative Learning from External Corporate Ventures," Entrepreneurship Theory and Practice, , vol. 29(4), pages 493-515, July.
    14. Giuliani, Elisa & Martinelli, Arianna & Rabellotti, Roberta, 2016. "Is Co-Invention Expediting Technological Catch Up? A Study of Collaboration between Emerging Country Firms and EU Inventors," World Development, Elsevier, vol. 77(C), pages 192-205.
    15. Insoo Cho & Peter F. Orazem, 2021. "How endogenous risk preferences and sample selection affect analysis of firm survival," Small Business Economics, Springer, vol. 56(4), pages 1309-1332, April.
    16. Tomasz Helbin & Amy Van Looy, 2021. "Is Business Process Management (BPM) Ready for Ambidexterity? Conceptualization, Implementation Guidelines and Research Agenda," Sustainability, MDPI, vol. 13(4), pages 1-25, February.
    17. Son K. Lam & Thomas E. DeCarlo & Ashish Sharma, 2019. "Salesperson ambidexterity in customer engagement: do customer base characteristics matter?," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 659-680, July.
    18. Jonathan H. Reed, 2022. "Operational and strategic change during temporary turbulence: evidence from the COVID-19 pandemic," Operations Management Research, Springer, vol. 15(1), pages 589-608, June.
    19. Alan Hevner & Isabelle Comyn-Wattiau & Jacky Akoka & Nicolas Prat, 2018. "A pragmatic approach for identifying and managing design science research goals and evaluation criteria," Post-Print hal-02283783, HAL.
    20. Felipe A. Csaszar & Nicolaj Siggelkow, 2010. "How Much to Copy? Determinants of Effective Imitation Breadth," Organization Science, INFORMS, vol. 21(3), pages 661-676, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523005978. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.