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Information system use-related activity : An expanded behavioral conceptualization of individual-level information system use

Author

Listed:
  • Henri Barki

    (HEC Montréal - HEC Montréal)

  • Ryad Titah

    (HEC Montréal - HEC Montréal)

  • Céline Boffo

Abstract

Despite calls for improving current approaches to conceptualizing and measuring the construct of information system use, theoretical advances in this regard are still insufficient. The present paper proposes to expand the focus of existing conceptualizations that exclusively focus on technology interaction behaviors via the construct of IS use-related activity. Based on task-technology fit and activity theory, IS use-related activity is conceptualized as a second-order aggregate construct that comprises both technology interaction behaviors, as well as activities users undertake to adapt the task-technology-individual system. A multiple-indicators and multiple-causes analysis of data collected from 190 users in 21 organizations is found to support the proposed conceptualization.

Suggested Citation

  • Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information system use-related activity : An expanded behavioral conceptualization of individual-level information system use," Post-Print hal-02312468, HAL.
    • Handle: RePEc:hal:journl:hal-02312468
    DOI: 10.1287/isre.1070.0122
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    Citations

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    Cited by:

    1. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    2. Do Giang Nguyen & Minh-Tri Ha, 2022. "What Makes Users Continue to Want to Use the Digital Platform? Evidence From the Ride-Hailing Service Platform in Vietnam," SAGE Open, , vol. 12(1), pages 21582440211, January.
    3. Jean-Charles Pillet & Kevin Carillo & Claudio Vitari & Federico Pigni, 2020. "What Does It Do? Theorizing Functional Ambiguity As A Factor Influencing User Perceptions Of Information Technology," Grenoble Ecole de Management (Post-Print) hal-03026903, HAL.
    4. Jani Merikivi & Antti Salovaara & Matti Mäntymäki & Lilong Zhang, 2018. "On the way to understanding binge watching behavior: the over-estimated role of involvement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 111-122, February.
    5. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2021. "Information Technology Skills and Labor Market Outcomes for Workers," Information Systems Research, INFORMS, vol. 32(2), pages 437-461, June.
    6. Suoniemi, Samppa & Terho, Harri & Zablah, Alex & Olkkonen, Rami & Straub, Detmar W., 2021. "The impact of firm-level and project-level it capabilities on CRM system quality and organizational productivity," Journal of Business Research, Elsevier, vol. 127(C), pages 108-122.
    7. Kwan Soo Hong & DonHee Lee, 2018. "Impact of operational innovations on customer loyalty in the healthcare sector," Service Business, Springer;Pan-Pacific Business Association, vol. 12(3), pages 575-600, September.
    8. Bogicevic, Vanja & Bujisic, Milos & Bilgihan, Anil & Yang, Wan & Cobanoglu, Cihan, 2017. "The impact of traveler-focused airport technology on traveler satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 351-361.
    9. Shaw, Norman, 2014. "The role of the professional association: A grounded theory study of Electronic Medical Records usage in Ontario, Canada," International Journal of Information Management, Elsevier, vol. 34(2), pages 200-209.
    10. 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.
    11. Andrew Burton-Jones & Olga Volkoff, 2017. "How Can We Develop Contextualized Theories of Effective Use? A Demonstration in the Context of Community-Care Electronic Health Records," Information Systems Research, INFORMS, vol. 28(3), pages 468-489, September.
    12. Hillol Bala & Viswanath Venkatesh, 2016. "Adaptation to Information Technology: A Holistic Nomological Network from Implementation to Job Outcomes," Management Science, INFORMS, vol. 62(1), pages 156-179, January.
    13. Ann-Frances Cameron & Jane Webster, 2013. "Multicommunicating: Juggling Multiple Conversations in the Workplace," Information Systems Research, INFORMS, vol. 24(2), pages 352-371, June.
    14. 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.
    15. Sun, Jonghak & Teng, James T.C., 2017. "The construct of information systems use benefits: Theoretical explication of its underlying dimensions and the development of a measurement scale," International Journal of Information Management, Elsevier, vol. 37(5), pages 400-416.
    16. Yu Tong & Sharon Swee-Lin Tan & Hock-Hai Teo, 2015. "The Road to Early Success: Impact of System Use in the Swift Response Phase," Information Systems Research, INFORMS, vol. 26(2), pages 418-436, June.
    17. Sven Dittes & Stefan Smolnik, 2019. "Towards a digital work environment: the influence of collaboration and networking on employee performance within an enterprise social media platform," Journal of Business Economics, Springer, vol. 89(8), pages 1215-1243, December.
    18. John A. Kaliski & Queen E. Booker & Paul L. Schumann, 2012. "An Architecture For Dynamic E-Learning Environments Based On Student Activity And Learning Styles," Business Education and Accreditation, The Institute for Business and Finance Research, vol. 4(2), pages 113-124.
    19. Jean-Charles Pillet & Kevin Carillo & Claudio Vitari & Federico Pigni, 2020. "What Does It Do? Theorizing Functional Ambiguity As A Factor Influencing User Perceptions Of Information Technology," Post-Print hal-03026903, HAL.
    20. Kwahk, Kee-Young & Ahn, Hyunchul & Ryu, Young U., 2018. "Understanding mandatory IS use behavior: How outcome expectations affect conative IS use," International Journal of Information Management, Elsevier, vol. 38(1), pages 64-76.

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