IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v13y2002i1p50-69.html

Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis

Author

Listed:
  • Arun Rai

    (Electronic Commerce Institute, Robinson College of Business, Georgia State University, Atlanta, Georgia 30303)

  • Sandra S. Lang

    (McKendree College, Division of Business, Lebanon, Illinois 62254)

  • Robert B. Welker

    (School of Accountancy, Southern Illinois University at Carbondale, Carbondale, Illinois 62901)

Abstract

The purpose of the present study is to empirically and theoretically assess DeLone and McLean's (1992) and Seddon's (1997) models of information systems (IS) success in a quasi-voluntary IS use context. Structural modeling techniques were applied to data collected by questionnaire from 274 system users of an integrated student information system at a midwestern university. The Seddon structural model and the DeLone and McLean structural model each contained five variables (system quality, information quality, perceived usefulness, user satisfaction, and IS use). Both models exhibit reasonable fit with the collected data. The empirical findings are assessed in the broader theoretical context of the IS success literature, including the Technology Acceptance Model and the Theory of Planned Behavior. Our results support DeLone and McLean's focus on integrated IS success models and their observation that IS success models need to be carefully specified in a given context. The Seddon model conceptually elaborates and clarifies aspects of the DeLone and McLean model, thereby effectively integrating core theoretical relationships espoused in the IS success literature. Our study also supports Seddon's three construct categories (system and information quality, general perceptual measures aboutnetbene fts about IS use, and IS behavior), as defining IS success and its impact on nature of IS use.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orisre:v:13:y:2002:i:1:p:50-69
    DOI: 10.1287/isre.13.1.50.96
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.13.1.50.96
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.13.1.50.96?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. Jonathan B. Woodroof & George M. Kasper, 1998. "A Conceptual Development of Process and Outcome User Satisfaction," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 11(2), pages 37-43, April.
    2. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    3. Detmar Straub & Moez Limayem & Elena Karahanna-Evaristo, 1995. "Measuring System Usage: Implications for IS Theory Testing," Management Science, INFORMS, vol. 41(8), pages 1328-1342, August.
    4. Barry L. Myers & Leon A. Kappelman & Victor R. Prybutok, 1997. "A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function: Toward a Theory for Information Systems Assessment," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 10(1), pages 6-26, January.
    5. Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
    6. 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.
    7. J. Ballantine & M. Bonner & M. Levy & A. Martin & I. Munro & P.L. Powell, 1996. "The 3-D Model of Information Systems Success: The Search for the Dependent Variable Continues," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 9(4), pages 5-15, October.
    8. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    9. 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.
    10. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    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. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    2. 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.
    3. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    4. 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.
    5. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    6. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    7. 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.
    8. Kuo-Yu Huang & Yea-Ru Chuang, 2016. "A task–technology fit view of job search website impact on performance effects: An empirical analysis from Taiwan," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1253943-125, December.
    9. Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information System Use--Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use," Information Systems Research, INFORMS, vol. 18(2), pages 173-192, June.
    10. 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.
    11. Abdesamad Zouine & Pierre Féniès, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    12. Chang, Victor & Wang, Yuanyuan & Wills, Gary, 2020. "Research investigations on the use or non-use of hearing aids in the smart cities," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    13. Koo, Chulmo & Chung, Namho, 2014. "Examining the eco-technological knowledge of Smart Green IT adoption behavior: A self-determination perspective," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 140-155.
    14. Chang, Yung-Chi & Enkhjargal, Uguumur & Huang, Chen-I & Lin, Wen-Ling & Ho, Chi-Ming, 2020. "Factors Affecting the Internet Banking Adoption," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 117-131.
    15. Liao, Chechen & Palvia, Prashant & Lin, Hong-Nan, 2006. "The roles of habit and web site quality in e-commerce," International Journal of Information Management, Elsevier, vol. 26(6), pages 469-483.
    16. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    17. Brown, Susan A. & Venkatesh, Viswanath & Kuruzovich, Jason & Massey, Anne P., 2008. "Expectation confirmation: An examination of three competing models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 52-66, January.
    18. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    19. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    20. Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & J. Sánchez-Fernández, 2018. "A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment," Service Business, Springer;Pan-Pacific Business Association, vol. 12(1), pages 25-64, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:inm:orisre:v:13:y:2002:i:1:p:50-69. 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.