IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v9y1998i2p126-163.html
   My bibliography  Save this article

The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research

Author

Listed:
  • George M. Marakas

    (Kelley School of Business, Indiana University, Bloomington Indiana 47405)

  • Mun Y. Yi

    (Darla Moore School of Business, University of South Carolina, Columbia, South Carolina 29208)

  • Richard D. Johnson

    (R. H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

Abstract

Despite the recent empirical interest and advances in research with regard to the construct of computer self-efficacy (CSE), the results obtained to date have, in some cases, been either equivocal or contradictory. We suggest that such results may be attributable to a general lack of attention to the dynamic, multileveled, and multifaceted nature of the computer self-efficacy construct. We offer examples from the extant CSE literature suggesting weaknesses in existing measures of the construct as well as issues associated with manipulations and the need for control of antecedent and consequent factors directly associated with CSE. The objectives of this paper are: (1) to provide a thorough review of the extant literature related to CSE; (2) to present an integrated model of empirical findings, constructed from a wide variety of disciplines, that comprehensively defines the multifaceted nature of task-specific CSE in terms of its antecedent, consequent, and moderating factors; (3) to present a conceptual model of CSE at the general versus task-specific level; and (4) to use the two models of CSE to proffer guidelines for both measurement and manipulation of the construct. Through our review of the CSE literature, we offer several thoughts regarding the nature of the empirical results obtained to date. The combined objectives serve as a basis for establishing a foundation upon which future research investigating the CSE construct can be based.

Suggested Citation

  • George M. Marakas & Mun Y. Yi & Richard D. Johnson, 1998. "The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research," Information Systems Research, INFORMS, vol. 9(2), pages 126-163, June.
  • Handle: RePEc:inm:orisre:v:9:y:1998:i:2:p:126-163
    DOI: 10.1287/isre.9.2.126
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.9.2.126
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.9.2.126?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
    ---><---

    References listed on IDEAS

    as
    1. Stone, Dan N., 1994. "Overconfidence in Initial Self-Efficacy Judgments: Effects on Decision Processes and Performance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 59(3), pages 452-474, September.
    2. 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.
    3. John W. Henry & Robert W. Stone, 1994. "A Structural Equation Model Of End-User Satisfaction With A Computer-Based Medical Information System," Information Resources Management Journal (IRMJ), IGI Global, vol. 7(3), pages 21-33, July.
    4. Hollenbeck, John R. & Brief, Arthur P., 1987. "The effects of individual differences and goal origin on goal setting and performance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 40(3), pages 392-414, December.
    5. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    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. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    2. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    3. Lee, Kyootai & Yan, Aihua & Joshi, Kailash, 2011. "Understanding the dynamics of users’ belief in software application adoption," International Journal of Information Management, Elsevier, vol. 31(2), pages 160-170.
    4. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    5. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    6. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    7. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    8. Ángel Valarezo & Rafael López & Teodosio Pérez-Amaral, 2019. "Adoption of e-commerce by individuals and digital divide: Evidence from Spain," Documentos de Trabajo del ICAE 2019-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    10. Kim, Youngseek & Adler, Melissa, 2015. "Social scientists’ data sharing behaviors: Investigating the roles of individual motivations, institutional pressures, and data repositories," International Journal of Information Management, Elsevier, vol. 35(4), pages 408-418.
    11. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    12. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    13. Juan F. Tavera Mesías & Juan C. Sánchez Giraldo & Bernardo Ballesteros Díaz, 2011. "Aceptación del E-Commerce en Colombia: un estudio para la ciudad de Medellín," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, December.
    14. Vachara Peansupap & Derek Walker, 2006. "Innovation diffusion at the implementation stage of a construction project: a case study of information communication technology," Construction Management and Economics, Taylor & Francis Journals, vol. 24(3), pages 321-332.
    15. Nawal Abdalla Adam, 2016. "An Empirical Investigation of the Impact of Technological Factors on Computer ¨C Based Information Systems (CBIS) Usage by Managers in Banking Sector in Sudan," Journal of Social Science Studies, Macrothink Institute, vol. 3(1), pages 12-22, January.
    16. Alami Mohamed, 2023. "The relationship between perception of IT and performance management in Moroccan companies: a qualitative study [La relation entre la perception des technologies d'information et le pilotage de la ," Post-Print hal-04224226, HAL.
    17. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    18. Tsourela Maria & Roumeliotis Manos, 2017. "Technology-Based Services Adoption: A Comparison of the Major Applications," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 1-24, June.
    19. Ariza-Montes, Antonio & Quan, Wei & Radic, Aleksandar & Koo, Bonhak & Kim, Jinkyung Jenny & Chua, Bee-Lia & Han, Heesup, 2023. "Understanding the behavioral intention to use urban air autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    20. Maheran Zakaria & Wan Noor Asmuni Wan Fauzi & Siti Jeslyn Hasan, 2012. "Accounting as a Choice of Academic Program," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 1(1), pages 43-52, April.

    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:inm:orisre:v:9:y:1998:i:2:p:126-163. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.