IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v70y2022ics0160791x22001518.html
   My bibliography  Save this article

Developing a human-organization-technology fit model for information technology adoption in organizations

Author

Listed:
  • Xu, Jinying
  • Lu, Weisheng

Abstract

Some information technologies (ITs) are better adopted than others and even the same IT may be adopted differently even in similar organizations. Existing old-fashioned theories which focused on one or several of technical, managerial, personnel factors cannot fully explain the phenomenon. This paper proposes human-organization-technology (HOT) fit as an overarching concept to explain the IT adoption heterogeneity in organizational technology management. The HOT fit model includes the characteristics and bi-party relationships of the human, organization, and technology dimensions. The model can be further used to holistically evaluate the HOT fit, diagnose the HOT configuration, and strategize organization adaptation directions iteratively. It provides a genuine theoretical perspective to investigate IT adoption in society.

Suggested Citation

  • Xu, Jinying & Lu, Weisheng, 2022. "Developing a human-organization-technology fit model for information technology adoption in organizations," Technology in Society, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:teinso:v:70:y:2022:i:c:s0160791x22001518
    DOI: 10.1016/j.techsoc.2022.102010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X22001518
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2022.102010?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. Dost, Mir & Badir, Yuosre F. & Sambasivan, Murali & Umrani, Waheed Ali, 2020. "Open-and-closed process innovation generation and adoption: Analyzing the effects of sources of knowledge," Technology in Society, Elsevier, vol. 62(C).
    2. Berglund, M. & Karltun, J., 2007. "Human, technological and organizational aspects influencing the production scheduling process," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 160-174, October.
    3. Al-Saedi, Karrar & Al-Emran, Mostafa & Ramayah, T. & Abusham, Eimad, 2020. "Developing a general extended UTAUT model for M-payment adoption," Technology in Society, Elsevier, vol. 62(C).
    4. Giulia Pozzi & Federico Pigni & Claudio Vitari, 2014. "Affordance Theory in the IS Discipline: a Review and Synthesis of the Literature," Post-Print halshs-01923663, HAL.
    5. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    6. Giulia Pozzi & Federico Pigni & Claudio Vitari, 2014. "Affordance Theory in the IS Discipline: a Review and Synthesis of the Literature," Grenoble Ecole de Management (Post-Print) halshs-01923663, HAL.
    7. Marie-Claude Boudreau & Daniel Robey, 2005. "Enacting Integrated Information Technology: A Human Agency Perspective," Organization Science, INFORMS, vol. 16(1), pages 3-18, February.
    8. Gerardine DeSanctis & Marshall Scott Poole, 1994. "Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory," Organization Science, INFORMS, vol. 5(2), pages 121-147, May.
    9. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    10. Geels, Frank W., 2004. "From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory," Research Policy, Elsevier, vol. 33(6-7), pages 897-920, September.
    11. Hooks, D. & Davis, Z. & Agrawal, V. & Li, Z., 2022. "Exploring factors influencing technology adoption rate at the macro level: A predictive model," Technology in Society, Elsevier, vol. 68(C).
    12. 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.
    13. Vargo, Stephen L. & Akaka, Melissa Archpru & Wieland, Heiko, 2020. "Rethinking the process of diffusion in innovation: A service-ecosystems and institutional perspective," Journal of Business Research, Elsevier, vol. 116(C), pages 526-534.
    14. Wynne W. Chin & Abhijit Gopal & W. David Salisbury, 1997. "Advancing the Theory of Adaptive Structuration: The Development of a Scale to Measure Faithfulness of Appropriation," Information Systems Research, INFORMS, vol. 8(4), pages 342-367, December.
    15. Raéf Bahrini & Alaa A. Qaffas, 2019. "Impact of Information and Communication Technology on Economic Growth: Evidence from Developing Countries," Economies, MDPI, vol. 7(1), pages 1-13, March.
    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. Lyu, Tu & Chen, Hao & Guo, Yulin, 2023. "Investigating innovation diffusion, social influence, and personal inner forces to understand people's participation in online e-waste recycling," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Santiago, Joanna & Borges-Tiago, Maria Teresa & Tiago, Flávio, 2024. "Embracing RAISA in restaurants: Exploring customer attitudes toward robot adoption," Technological Forecasting and Social Change, Elsevier, vol. 199(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. Sharath Sasidharan & Radhika Santhanam & Daniel J. Brass & Vallabh Sambamurthy, 2012. "The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 658-678, September.
    2. Andrew Burton-Jones & Camille Grange, 2013. "From Use to Effective Use: A Representation Theory Perspective," Information Systems Research, INFORMS, vol. 24(3), pages 632-658, September.
    3. Andrew Burton-Jones & Detmar W. Straub, 2006. "Reconceptualizing System Usage: An Approach and Empirical Test," Information Systems Research, INFORMS, vol. 17(3), pages 228-246, September.
    4. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    5. Ko, Eun-Jung & Kim, A-Hyun & Kim, Sang-Soo, 2021. "Toward the understanding of the appropriation of ICT-based Smart-work and its impact on performance in organizations," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    6. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.
    7. Susan A. Brown & Viswanath Venkatesh & Sandeep Goyal, 2012. "Expectation Confirmation in Technology Use," Information Systems Research, INFORMS, vol. 23(2), pages 474-487, June.
    8. Denolf, Janne.M. & Wognum, Nel P.M. & Trienekens, Jacques H. & van der Vorst, Jack G.A.J. & Omta, S.W.F. (Onno), 2012. "Towards a Supply-Chain Instrument to Monitor an Information Technology Implementation," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144968, International European Forum on System Dynamics and Innovation in Food Networks.
    9. Stefan Seebacher & Ronny Schüritz & Gerhard Satzger, 2021. "Towards an understanding of technology fit and appropriation in business networks: evidence from blockchain implementations," Information Systems and e-Business Management, Springer, vol. 19(1), pages 183-204, March.
    10. Efpraxia D. Zamani & Nancy Pouloudi & George M. Giaglis & Jonathan Wareham, 2022. "Appropriating Information Technology Artefacts through Trial and Error: The Case of the Tablet," Information Systems Frontiers, Springer, vol. 24(1), pages 97-119, February.
    11. Ferran Pérez & Claudio Vitari, 2020. "An affordance perspective to understand the relationship between organization and IT [La perspective des affordances pour comprendre les relations entre organisations et TIC]," Grenoble Ecole de Management (Post-Print) hal-03026906, HAL.
    12. Ferran Pérez & Claudio Vitari, 2020. "An affordance perspective to understand the relationship between organization and IT [La perspective des affordances pour comprendre les relations entre organisations et TIC]," Post-Print hal-03026906, HAL.
    13. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    14. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    15. Proserpio, Luigi & Magni, Massimo, 2012. "Teaching without the teacher? Building a learning environment through computer simulations," International Journal of Information Management, Elsevier, vol. 32(2), pages 99-105.
    16. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    17. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    18. Emmanuelle Vaast & Geoff Walsham, 2009. "Trans-Situated Learning: Supporting a Network of Practice with an Information Infrastructure," Information Systems Research, INFORMS, vol. 20(4), pages 547-564, December.
    19. Matthijs J. Verhulst & Anne-Françoise Rutkowski, 2018. "Decision-Making in the Police Work Force: Affordances Explained in Practice," Group Decision and Negotiation, Springer, vol. 27(5), pages 827-852, October.
    20. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.

    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:teinso:v:70:y:2022:i:c:s0160791x22001518. 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: https://www.journals.elsevier.com/technology-in-society .

    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.