IDEAS home Printed from https://ideas.repec.org/a/eee/techno/v125y2023ics0166497223000706.html
   My bibliography  Save this article

The impact of evolved psychological mechanisms on innovation and adoption: A systematic literature review

Author

Listed:
  • Stroh, Tim
  • Mention, Anne-Laure
  • Duff, Cameron

Abstract

Studies of the impact of psychological factors and cognitive decision processes, which are often regarded as micro-foundations of innovation and adoption, are a dominant theme in the recent innovation literature. Across a range of disciplines, analysis of the role of evolved psychological mechanisms (EPM) in decision-making has led to dramatic changes in our understanding of motivation and the mechanisms of decision-making. However, the emerging literature applying these findings to innovation and technology management has not been thoroughly assessed. Given the substantial advances in psychology and economics generated by the application of an EPM lens, we undertake a systematic review of innovation, adoption, and resistance literature in which EPMs are applied or considered. This paper synthesizes the existing literature, describes the influence of EPMs on decisions involving new ideas or technologies, proposes Evolutionary Choice Theory (ECT) as a parsimonious and consilient theory of decision-making, and offers pragmatic insights for practitioners to support consistent and effective managerial interventions.

Suggested Citation

  • Stroh, Tim & Mention, Anne-Laure & Duff, Cameron, 2023. "The impact of evolved psychological mechanisms on innovation and adoption: A systematic literature review," Technovation, Elsevier, vol. 125(C).
    • Handle: RePEc:eee:techno:v:125:y:2023:i:c:s0166497223000706
    DOI: 10.1016/j.technovation.2023.102759
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166497223000706
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.technovation.2023.102759?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. Brendan Markey-Towler, 2021. "Psychology of evolutionary economic behaviour," Evolutionary and Institutional Economics Review, Springer, vol. 18(2), pages 361-383, September.
    2. Alessandra Fogli & Laura Veldkamp, 2021. "Germs, Social Networks, and Growth [Unbundling Institutions]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(3), pages 1074-1100.
    3. Teppo Felin & Nicolai J. Foss & Koen H. Heimeriks & Tammy L. Madsen, 2012. "Microfoundations of Routines and Capabilities: Individuals, Processes, and Structure," Journal of Management Studies, Wiley Blackwell, vol. 49(8), pages 1351-1374, December.
    4. Xu, Ni & Wang, Kung-Jeng, 2021. "Adopting robot lawyer? The extending artificial intelligence robot lawyer technology acceptance model for legal industry by an exploratory study," Journal of Management & Organization, Cambridge University Press, vol. 27(5), pages 867-885, September.
    5. Hannen, Julian & Antons, David & Piller, Frank & Salge, Torsten Oliver & Coltman, Tim & Devinney, Timothy M., 2019. "Containing the Not-Invented-Here Syndrome in external knowledge absorption and open innovation: The role of indirect countermeasures," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    6. Saad, Gad & Gill, Tripat & Nataraajan, Rajan, 2005. "Are laterborns more innovative and nonconforming consumers than firstborns? A Darwinian perspective," Journal of Business Research, Elsevier, vol. 58(7), pages 902-909, July.
    7. Chon Abraham & Iris Junglas & Richard T. Watson & Marie-Claude Boudreau, 2016. "Explaining the unexpected and continued use of an information system with the help of evolved evolutionary mechanisms," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 212-231, January.
    8. Roberts, Ruby & Flin, Rhona & Millar, David & Corradi, Luca, 2021. "Psychological factors influencing technology adoption: A case study from the oil and gas industry," Technovation, Elsevier, vol. 102(C).
    9. Emre Yildiz, H. & Murtic, Adis & Klofsten, Magnus & Zander, Udo & Richtnér, Anders, 2021. "Individual and contextual determinants of innovation performance: A micro-foundations perspective," Technovation, Elsevier, vol. 99(C).
    10. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    11. Julie Battilana, 2011. "The Enabling Role of Social Position in Diverging from the Institutional Status Quo: Evidence from the UK National Health Service," Organization Science, INFORMS, vol. 22(4), pages 817-834, August.
    12. Jan Krátký & John J McGraw & Dimitris Xygalatas & Panagiotis Mitkidis & Paul Reddish, 2016. "It Depends Who Is Watching You: 3-D Agent Cues Increase Fairness," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-11, February.
    13. Gerli, Paolo & Clement, Jessica & Esposito, Giovanni & Mora, Luca & Crutzen, Nathalie, 2022. "The hidden power of emotions: How psychological factors influence skill development in smart technology adoption," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    14. Gigerenzer, Gerd, 2018. "The Bias Bias in Behavioral Economics," Review of Behavioral Economics, now publishers, vol. 5(3-4), pages 303-336, December.
    15. Ned Kock, 2004. "The Psychobiological Model: Towards a New Theory of Computer-Mediated Communication Based on Darwinian Evolution," Organization Science, INFORMS, vol. 15(3), pages 327-348, June.
    16. J. Stuart Bunderson & Ray E. Reagans, 2011. "Power, Status, and Learning in Organizations," Organization Science, INFORMS, vol. 22(5), pages 1182-1194, October.
    17. Jiming Wu & Hongwei Du, 2012. "Toward a better understanding of behavioral intention and system usage constructs," European Journal of Information Systems, Taylor & Francis Journals, vol. 21(6), pages 680-698, November.
    18. Donald A. Hantula & Ned Kock & John P. D’Arcy & Darleen M. DeRosa, 2011. "Media Compensation Theory: A Darwinian Perspective on Adaptation to Electronic Communication and Collaboration," Springer Books, in: Gad Saad (ed.), Evolutionary Psychology in the Business Sciences, pages 339-363, Springer.
    19. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    20. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    21. Joseph Henrich & Steve J. Heine & Ara Norenzayan, 2010. "The Weirdest People in the World?," RatSWD Working Papers 139, German Data Forum (RatSWD).
    22. Fetrati, Mahdieh A. & Hansen, David & Akhavan, Payman, 2022. "How to manage creativity in organizations: Connecting the literature on organizational creativity through bibliometric research," Technovation, Elsevier, vol. 115(C).
    23. Christian Fisch & Joern Block, 2018. "Six tips for your (systematic) literature review in business and management research," Management Review Quarterly, Springer, vol. 68(2), pages 103-106, April.
    24. Bart Nooteboom, 2012. "Embodied Cognition, Organization and Innovation," Chapters, in: Richard Arena & Agnès Festré & Nathalie Lazaric (ed.), Handbook of Knowledge and Economics, chapter 15, Edward Elgar Publishing.
    25. Richard H. Thaler, 2000. "From Homo Economicus to Homo Sapiens," Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 133-141, Winter.
    26. Han-Jen Niu, 2022. "From Inner To Outer: Exploring The R&D Employee Innovative Behaviour In High-Tech Industry," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 26(02), pages 1-28, February.
    27. Ghasemzadeh, Khatereh & Bortoluzzi, Guido & Yordanova, Zornitsa, 2022. "Collaborating with users to innovate: A systematic literature review," Technovation, Elsevier, vol. 116(C).
    28. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    29. Bagwell, Laurie Simon & Bernheim, B Douglas, 1996. "Veblen Effects in a Theory of Conspicuous Consumption," American Economic Review, American Economic Association, vol. 86(3), pages 349-373, June.
    30. Richard H. Thaler, 2018. "From Cashews to Nudges: The Evolution of Behavioral Economics," American Economic Review, American Economic Association, vol. 108(6), pages 1265-1287, June.
    31. Ferreira, Jorge Brantes & da Rocha, Angela & da Silva, Jorge Ferreira, 2014. "Impacts of technology readiness on emotions and cognition in Brazil," Journal of Business Research, Elsevier, vol. 67(5), pages 865-873.
    32. Talke, Katrin & Salomo, Sören & Rost, Katja, 2010. "How top management team diversity affects innovativeness and performance via the strategic choice to focus on innovation fields," Research Policy, Elsevier, vol. 39(7), pages 907-918, September.
    33. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    34. Hadjielias, Elias & (Lola) Dada, Olufunmilola & Discua Cruz, Allan & Zekas, Stavros & Christofi, Michael & Sakka, Georgia, 2021. "How do digital innovation teams function? Understanding the team cognition-process nexus within the context of digital transformation," Journal of Business Research, Elsevier, vol. 122(C), pages 373-386.
    35. Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
    36. Likoebe M. Maruping & Hillol Bala & Viswanath Venkatesh & Susan A. Brown, 2017. "Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 623-637, March.
    37. Mortenson, Michael J. & Vidgen, Richard, 2016. "A computational literature review of the technology acceptance model," International Journal of Information Management, Elsevier, vol. 36(6), pages 1248-1259.
    38. Vladas Griskevicius & Joshua M. Ackerman & Bram Bergh & Yexin Jessica Li, 2011. "Fundamental Motives and Business Decisions," Springer Books, in: Gad Saad (ed.), Evolutionary Psychology in the Business Sciences, pages 17-40, Springer.
    39. Frantz Rowe, 2014. "What literature review is not: diversity, boundaries and recommendations," European Journal of Information Systems, Taylor & Francis Journals, vol. 23(3), pages 241-255, May.
    40. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    41. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
    42. Valor, Carmen & Antonetti, Paolo & Crisafulli, Benedetta, 2022. "Emotions and consumers’ adoption of innovations: An integrative review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    43. Lin, Nidthida & Wilden, Ralf & Chirico, Francesco & Ghasrodashti, Elahe & DeTienne, Dawn R., 2022. "Persist or let it go: Do rational entrepreneurs make decisions rationally?," Journal of Business Venturing, Elsevier, vol. 37(4).
    44. Mathieu Templier & Guy Paré, 2018. "Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(5), pages 503-550, September.
    45. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    46. Stephen Dobson & Dermot Breslin, 2013. "An evolutionary perspective on managing the ephemeral architecture of organisational creativity," International Journal of Business Environment, Inderscience Enterprises Ltd, vol. 5(4), pages 413-429.
    47. Brian J. Loasby, 2001. "Organisation as Interpretative Systems," Revue d'Économie Industrielle, Programme National Persée, vol. 97(1), pages 17-34.
    48. Chon Abraham & Marie-Claude Boudreau & Iris Junglas & Richard Watson, 2013. "Enriching our theoretical repertoire: the role of evolutionary psychology in technology acceptance," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(1), pages 56-75, January.
    49. van Oorschot, Johannes A.W.H. & Hofman, Erwin & Halman, Johannes I.M., 2018. "A bibliometric review of the innovation adoption literature," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 1-21.
    50. Cristofaro, Matteo, 2019. "The role of affect in management decisions: A systematic review," European Management Journal, Elsevier, vol. 37(1), pages 6-17.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dabić, Marina & Daim, Tugrul & Bogers, Marcel L.A.M. & Mention, Anne-Laure, 2023. "The limits of open innovation: Failures, risks, and costs in open innovation practice and theory," Technovation, Elsevier, vol. 126(C).

    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. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    2. Roberts, Ruby & Flin, Rhona & Millar, David & Corradi, Luca, 2021. "Psychological factors influencing technology adoption: A case study from the oil and gas industry," Technovation, Elsevier, vol. 102(C).
    3. Stracca, Livio, 2004. "Behavioral finance and asset prices: Where do we stand?," Journal of Economic Psychology, Elsevier, vol. 25(3), pages 373-405, June.
    4. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    5. Daniel C. Kenny & Juan Castilla-Rho, 2022. "No Stakeholder Is an Island: Human Barriers and Enablers in Participatory Environmental Modelling," Land, MDPI, vol. 11(3), pages 1-26, February.
    6. Menkhoff, Lukas & Nikiforow, Marina, 2009. "Professionals' endorsement of behavioral finance: Does it impact their perception of markets and themselves?," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 318-329, August.
    7. N. S. Nanayakkara & P. D. Nimal & Y. K. Weerakoon, 2019. "Behavioural Asset Pricing: A Review," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 101-108.
    8. Renata Walczak & Magdalena Kludacz-Alessandri & Liliana Hawrysz, 2022. "Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    9. Ardalan, Kavous, 2018. "Neurofinance versus the efficient markets hypothesis," Global Finance Journal, Elsevier, vol. 35(C), pages 170-176.
    10. Julian M. Müller, 2019. "Comparing Technology Acceptance for Autonomous Vehicles, Battery Electric Vehicles, and Car Sharing—A Study across Europe, China, and North America," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    11. Syed Aliya Zahera & Rohit Bansal, 2018. "Do investors exhibit behavioral biases in investment decision making? A systematic review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 10(2), pages 210-251, May.
    12. Tai-Yuen Hon & Massoud Moslehpour & Kai-Yin Woo, 2021. "Review on Behavioral Finance with Empirical Evidence," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 15-41, December.
    13. Wang, Yu-Yin & Wang, Yi-Shun & Lin, Tung-Ching, 2018. "Developing and validating a technology upgrade model," International Journal of Information Management, Elsevier, vol. 38(1), pages 7-26.
    14. Sonntag, Dominik, 2018. "Die Theorie der fairen geometrischen Rendite [The Theory of Fair Geometric Returns]," MPRA Paper 87082, University Library of Munich, Germany.
    15. Giovanni Ferri & Doris Neuberger, 2014. "The Banking Regulatory Bubble and How to Get out of It," Rivista di Politica Economica, SIPI Spa, issue 2, pages 39-69, April-Jun.
    16. Rehse, Dominik & Tremöhlen, Felix, 2022. "Fostering participation in digital contact tracing," Information Economics and Policy, Elsevier, vol. 58(C).
    17. Roemer, Ellen & Henseler, Jörg, 2022. "The dynamics of electric vehicle acceptance in corporate fleets: Evidence from Germany," Technology in Society, Elsevier, vol. 68(C).
    18. Jain, Geetika & Kamble, Sachin S. & Ndubisi, Nelson Oly & Shrivastava, Archana & Belhadi, Amine & Venkatesh, Mani, 2022. "Antecedents of Blockchain-Enabled E-commerce Platforms (BEEP) adoption by customers – A study of second-hand small and medium apparel retailers," Journal of Business Research, Elsevier, vol. 149(C), pages 576-588.
    19. Martin Gold, 2010. "Fiduciary Finance," Books, Edward Elgar Publishing, number 13813.
    20. Shahidi, Niousha & Tossan, Vesselina & Bourliataux-Lajoinie, Stéphane & Cacho-Elizondo, Silvia, 2022. "Behavioural intention to use a contact tracing application: The case of StopCovid in France," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).

    More about this item

    Statistics

    Access and download statistics

    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:techno:v:125:y:2023:i:c:s0166497223000706. 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/01664972 .

    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.