Information System Success: Individual and Organizational Determinants

Sabherwal, Rajiv; Jeyaraj, Anand; Chowa, Charles

doi:10.1287/mnsc.1060.0583

Cited by 685Technology Adoption and User BehaviourInformation Systems Theories and ImplementationERP Systems Implementation and Impact

Information System Success: Individual and Organizational Determinants

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Sabherwal, Rajiv, Jeyaraj, Anand, Chowa, Charles·2006·Management Science

DOI 10.1287/mnsc.1060.0583

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Abstract

Despite considerable empirical research, results on the relationships among constructs related to information system (IS) success, as well as the determinants of IS success, are often inconsistent. A comprehensive understanding of IS success thus remains elusive. In an attempt to address this situation, which may partly be due to the exclusion of potentially important constructs from prior parsimonious models of IS success, we present and test a comprehensive theoretical model. This model explains interrelationships among four constructs representing the success of a specific IS (user satisfaction, system use, perceived usefulness, and system quality), and the relationships of these IS success constructs with four user-related constructs (user experience with ISs, user training in ISs, user attitude toward ISs, and user participation in the development of the specific IS) and two constructs representing the context (top-management support for ISs and facilitating conditions for ISs). To test the model, we first used meta-analysis to compute a correlation matrix for the constructs in the model based on 612 findings from 121 studies published between 1980 and 2004, and then used this correlation matrix as input for a LISREL analysis of the model. Overall, we found excellent support for the theoretical model. The results underline the importance of user-related and contextual attributes in IS success and raise questions about some commonly believed relationships.

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Meta-analysis allows the application of statistical procedures for correcting sampling and measurement errors typically found in research studies and the inclusion of non-significant or inconsistent results for collective inference.
“It allows the application of statistical procedures for correcting sampling and measurement errors typically found in research studies (Hunter and Schmidt 1990) and the inclusion of non-significant or inconsistent results for collective inference”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Sabherwal et al. 2006

The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Diffusion of Innovations 1
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,557 · see citing works
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709 · see citing works
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.3.588 · Cited by 19,266 · see citing works
Untitled work
(1985) · Medical Entomology and Zoology · Cited by 19,180 · see citing works
Information Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697 · see citing works
Untitled work
(1964) · Medical Entomology and Zoology · Cited by 10,439 · see citing works
Book Reviews: Statistical Methods for Meta-Analysis Larry V. Hedges and Ingram Olkin New York: Academic Press, 1985. xxii + 369 pp
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,347 · see citing works
Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150 · see citing works
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815 · see citing works
LISREL 7 : user's reference guide
Jöreskog, K. G., & Sörbom, D. (1989) · Medical Entomology and Zoology · Cited by 6,783 · see citing works
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · see citing works
The diffusion of innovations
Hietala, M. (1983) · Scandinavian Journal of History · doi:10.1080/03468758308579015 · Cited by 6,232 · see citing works
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542 · see citing works
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,832 · see citing works
Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage1
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726 · see citing works
Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1
Venkatesh, V., & Morris, M. G. (2000) · MIS Quarterly · doi:10.2307/3250981 · Cited by 4,382 · see citing works
JOB SATISFACTION, ORGANIZATIONAL COMMITMENT, TURNOVER INTENTION, AND TURNOVER: PATH ANALYSES BASED ON META‐ANALYTIC FINDINGS
TETT, R. P., & MEYER, J. P. (1993) · Personnel Psychology · doi:10.1111/j.1744-6570.1993.tb00874.x · Cited by 4,114 · see citing works
Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value
Melville, N. P., Kraemer, K., & Gurbaxani, V. (2004) · MIS Q. · doi:10.2307/25148636 · Cited by 3,896 · see citing works
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814 · see citing works
The Handbook of Research Synthesis.
Howel, D., Cooper, H., & Hedges, L. V. (1995) · Biometrics · doi:10.2307/2533295 · Cited by 3,657 · see citing works
Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992) · MIS Quarterly · doi:10.2307/249577 · Cited by 3,084 · see citing works
A Theoretical Integration of User Satisfaction and Technology Acceptance
Wixom, B. H., & Todd, P. A. (2005) · Information Systems Research · doi:10.1287/isre.1050.0042 · Cited by 2,835 · see citing works
Development of a Tool for Measuring and Analyzing Computer User Satisfaction
Bailey, J. E., & Pearson, S. W. (1983) · Management Science · doi:10.1287/mnsc.29.5.530 · Cited by 2,562 · see citing works
The Measurement of End-User Computing Satisfaction
Doll, W. J., & Torkzadeh, G. (1988) · MIS Quarterly · doi:10.2307/248851 · Cited by 2,499 · see citing works
A Respecification and Extension of the DeLone and McLean Model of IS Success
Seddon, P. B. (1997) · Information Systems Research · doi:10.1287/isre.8.3.240 · Cited by 2,440 · see citing works
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings.
Raudenbush, S. W., Hunter, J. E., & Schmidt, F. L. (1991) · Journal of the American Statistical Association · doi:10.2307/2289738 · Cited by 2,363 · see citing works
Power, politics, and MIS implementation
Markus, M. L. (1983) · Communications of the ACM · doi:10.1145/358141.358148 · Cited by 2,224 · see citing works
The measurement of user information satisfaction
Ives, B., Olson, M. H., & Baroudi, J. J. (1983) · Communications of the ACM · doi:10.1145/358413.358430 · Cited by 1,830 · see citing works
Understanding Changes in Belief and Attitude Toward Information Tech Nology Usage: A Theoretical Model and Longitudinal Test1
Bhattacherjee, A., & Premkumar, G. (2004) · MIS Quarterly · doi:10.2307/25148634 · Cited by 1,764 · see citing works
The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies
Agarwal, R., & Prasad, J. (1997) · Decision Sciences · doi:10.1111/j.1540-5915.1997.tb01322.x · Cited by 1,669 · see citing works
Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model1
Igbaria, M., Zinatelli, N., Cragg, P. B., & Cavaye, A. (1997) · MIS Quarterly · doi:10.2307/249498 · Cited by 1,668 · see citing works
Empirical Evaluation of the Revised Technology Acceptance Model
Szajna, B. (1996) · Management Science · doi:10.1287/mnsc.42.1.85 · Cited by 1,656 · see citing works
Single Sample Cross-Validation Indices for Covariance Structures
Browne, M. W., & Cudeck, R. A. (1989) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2404_4 · Cited by 1,642 · see citing works
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
Rai, A., Lang, S. S., & Welker, R. B. (2002) · Information Systems Research · doi:10.1287/isre.13.1.50.96 · Cited by 1,611 · see citing works
Explaining the Role of User Participation in Information System Use
Hartwick, J., & Barki, H. (1994) · Management Science · doi:10.1287/mnsc.40.4.440 · Cited by 1,540 · see citing works
Application of Social Cognitive Theory to Training for Computer Skills
Compeau, D., & Higgins, C. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.118 · Cited by 1,503 · see citing works
Information technology acceptance by individual professionals: a model comparison approach
Chau, P. Y. K., & Hu, P. J. (2001) · Decision Sciences · doi:10.1111/j.1540-5915.2001.tb00978.x · Cited by 1,409 · see citing works
Social Measurement: Current Issues
Bohrnstedt, G. W., & Borgatta, E. F. (1981) · Medical Entomology and Zoology · Cited by 1,397 · see citing works
Attitude and Attitude Change.
Smith, H. W., & Triandis, H. C. (1972) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063502 · Cited by 1,393 · see citing works
User Involvement and MIS Success: A Review of Research
Ives, B., & Olson, M. H. (1984) · Management Science · doi:10.1287/mnsc.30.5.586 · Cited by 1,318 · see citing works
Testing the Determinants of Microcomputer Usage via a Structural Equation Model
Igbaria, M., Guimãrães, T., & Davis, G. B. (1995) · Journal of Management Information Systems · doi:10.1080/07421222.1995.11518061 · Cited by 1,162 · see citing works
Microcomputer Playfulness: Development of a Measure With Workplace Implications
Webster, J., & Martocchio, J. J. (1992) · MIS Quarterly · doi:10.2307/249576 · Cited by 1,107 · see citing works
Sources of Influence on Beliefs About Information Technology Use: An Empirical Study of Knowledge Workers1
Lewis, Agarwal, & Sambamurthy, V. (2003) · MIS Quarterly · doi:10.2307/30036552 · Cited by 1,089 · see citing works
Relationships between psychological climate perceptions and work outcomes: a meta‐analytic review
Parker, C. P., Baltes, B. B., Young, S. A., Huff, J. W., Altmann, R. A., Lacost, H. A., & Roberts, J. E. (2003) · Journal of Organizational Behavior · doi:10.1002/job.198 · Cited by 1,079 · see citing works
Antecedents and Consequences of Salesperson Job Satisfaction: Meta-Analysis and Assessment of Causal Effects
Brown, S. P., & Peterson, R. A. (1993) · Journal of Marketing Research · doi:10.2307/3172514 · Cited by 1,066 · see citing works
The effects of self-efficacy on computer usage
Igbaria, M. (1995) · Omega · doi:10.1016/0305-0483(95)00035-6 · Cited by 1,036 · see citing works
The Handbook of Research Synthesis
Ziegel, E. R., Cooper, H., & Hedges, L. V. (1995) · Technometrics · doi:10.2307/1269651 · Cited by 936 · see citing works
THEORY TESTING: COMBINING PSYCHOMETRIC META‐ANALYSIS AND STRUCTURAL EQUATIONS MODELING
VISWESVARAN, C., & ONES, D. S. (1995) · Personnel Psychology · doi:10.1111/j.1744-6570.1995.tb01784.x · Cited by 926 · see citing works
Measuring User Participation, User Involvement, and User Attitude
Barki, H., & Hartwick, J. (1994) · MIS Quarterly · doi:10.2307/249610 · Cited by 898 · see citing works
An empirical study of the impact of user involvement on system usage and information satisfaction
Baroudi, J. J., Olson, M. H., & Ives, B. (1986) · Communications of the ACM · doi:10.1145/5666.5669 · Cited by 894 · see citing works
An Empirical Investigation of the Factors Affecting Data Warehousing Success
Kim, B.-G. (2005) · Cited by 888 · see citing works
Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics
Hong, W., Thong, J. Y. L., Wong, W.-M., & Tam, K.-Y. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045692 · Cited by 827 · see citing works
Managerial Influence in the Implementation of New Technology
Leonard-Barton, D., & Deschamps, I. (1988) · Management Science · doi:10.1287/mnsc.34.10.1252 · Cited by 812 · see citing works
Reconceptualizing Users as Social Actors in Information Systems Research1
Lamb, R., & Kling, R. (2003) · MIS Quarterly · doi:10.2307/30036529 · Cited by 779 · see citing works
Executive Involvement and Participation in the Management of Information Technology
Jarvenpaa, S. L., & Ives, B. (1991) · MIS Quarterly · doi:10.2307/249382 · Cited by 765 · see citing works
Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1994) · Journal of Management Information Systems · doi:10.1080/07421222.1994.11518035 · Cited by 753 · see citing works
Social Construction of Communication Technology
Fulk, J. L., & Yu, Y. (2017) · Wiley eBooks · doi:10.1002/9781118955567.wbieoc190 · Cited by 735 · see citing works
Determinants of success for computer usage in small business
DeLone, W. H. (1988) · MIS Quarterly · doi:10.2307/248803 · Cited by 703 · see citing works
The Assimilation of Knowledge Platforms in Organizations: An Empirical Investigation
Purvis, R. L., Sambamurthy, V., & Zmud, R. W. (2001) · Organization Science · doi:10.1287/orsc.12.2.117.10115 · Cited by 677 · see citing works
Top management support, external expertise and information systems implementation in small businesses
Thong, J. Y. L., Yap, C.-S., & Raman, K. S. (1996) · Information Systems Research · doi:10.1287/isre.7.2.248 · Cited by 655 · see citing works
Measuring Factors that Influence the Success of Internet Commerce
Torkzadeh, G., & Dhillon, G. S. (2002) · Information Systems Research · doi:10.1287/isre.13.2.187.87 · Cited by 586 · see citing works
It's all about attitude: revisiting the technology acceptance model
Yang, H.-D., & Yoo, Y. (2004) · Decision Support Systems · doi:10.1016/s0167-9236(03)00062-9 · Cited by 578 · see citing works
Organizational Culture and Performance: Proposing and Testing a Model
Marcoulides, G. A., & Heck, R. H. (1993) · Organization Science · doi:10.1287/orsc.4.2.209 · Cited by 576 · see citing works
The consequences of information technology acceptance on subsequent individual performance
Igbaria, M., & Tan, M. (1997) · Information & Management · doi:10.1016/s0378-7206(97)00006-2 · Cited by 529 · see citing works
A structural model of end user computing satisfaction and user performance
Etezadi-Amoli, J., & Farhoomand, A. F. (1996) · Information & Management · doi:10.1016/0378-7206(95)00052-6 · Cited by 508 · see citing works
The development of a tool for measuring the perceived impact of information technology on work
Torkzadeh, G., & Doll, W. J. (1999) · Omega · doi:10.1016/s0305-0483(98)00049-8 · Cited by 483 · see citing works
Force of Habit and Information Systems Usage: Theory and Initial Validation
Limayem, M., Hirt, S. G., & de Empresa, S. I. (2003) · Journal of the Association for Information Systems · doi:10.17705/1jais.00030 · Cited by 480 · see citing works
FROM CHIMNEYS TO CROSS-FUNCTIONAL TEAMS: DEVELOPING AND VALIDATING A DIAGNOSTIC MODEL.
Denison, D. R., Hart, S. L., & Kahn, J. A. (1996) · Academy of Management Journal · doi:10.2307/256721 · Cited by 478 · see citing works
The relation between user satisfaction, usage of information systems and performance
Gelderman, M. (1998) · Information & Management · doi:10.1016/s0378-7206(98)00044-5 · Cited by 472 · see citing works
Development of an Instrument To Measure Hope
Miller, J. F., & Powers, M. J. (1988) · Nursing Research · doi:10.1097/00006199-198801000-00002 · Cited by 471 · see citing works
The Contingent Effects of Management Support and Task Interdependence on Successful Information Systems Implementation1
Sharma, R., & Yetton, P. (2003) · MIS Quarterly · doi:10.2307/30036548 · Cited by 470 · see citing works
Extended technology acceptance model of Internet utilization behavior
Shih, H. (2003) · Information & Management · doi:10.1016/j.im.2003.08.009 · Cited by 448 · see citing works
A Field Study of Organizational Factors Influencing DSS Success
Sanders, G. L., & Courtney, J. F. (1985) · MIS Quarterly · doi:10.2307/249275 · Cited by 429 · see citing works
An Integrative Contingency Model of Software Project Risk Management
Barki, H., Rivard, S., & Talbot, J. (2001) · Journal of Management Information Systems · doi:10.1080/07421222.2001.11045666 · Cited by 409 · see citing works
ORGANIZATIONAL CONTEXT, USER INVOLVEMENT, AND THE USEFULNESS OF INFORMATION SYSTEMS*
Franz, C. R., & Robey, D. (1986) · Decision Sciences · doi:10.1111/j.1540-5915.1986.tb00230.x · Cited by 404 · see citing works
A Partial Test and Development of the DeLone and McLean Model of IS Success.
Seddon, P. B., & Kiew, M.-Y. (1994) · Cited by 381 · see citing works
Training End Users: An Exploratory Study
Nelson, R. R., & Cheney, P. H. (1987) · MIS Quarterly · doi:10.2307/248985 · Cited by 374 · see citing works
Revisiting DSS Implementation Research: A Meta-Analysis of the Literature and Suggestions for Researchers
Alavi, M., & Joachimsthaler, E. A. (1992) · MIS Quarterly · doi:10.2307/249703 · Cited by 362 · see citing works
The myths and realities of information technology insourcing
Hirschheim, R., & Lacity, M. C. (2000) · Communications of the ACM · doi:10.1145/328236.328112 · Cited by 348 · see citing works
Enabling Software Development Team Performance During Requirements Definition: A Behavioral Versus Technical Approach
Guinan, P. J., Cooprider, J. G., & Faraj, S. A. (1998) · Information Systems Research · doi:10.1287/isre.9.2.101 · Cited by 342 · see citing works
End-user computing effectiveness: A structural equation model
Igbaria, M. (1990) · Omega · doi:10.1016/0305-0483(90)90055-e · Cited by 315 · see citing works
Restoring a Sense of Control During Implementation: How User Involvement Leads to System Acceptance
Baronas, A.-M. K., & Louis, M. R. (1988) · MIS Quarterly · doi:10.2307/248811 · Cited by 283 · see citing works
Is user satisfaction a valid measure of system effectiveness?
Gatian, A. W. (1994) · Information & Management · doi:10.1016/0378-7206(94)90036-1 · Cited by 272 · see citing works
A feedback model to understand information system usage
Bajaj, A., & Nidumolu, S. R. (1998) · Information & Management · doi:10.1016/s0378-7206(98)00026-3 · Cited by 266 · see citing works
The relationship between user participation and system success: a simultaneous contingency approach
Lin, W. T., & Shao, B. B. M. (2000) · Information & Management · doi:10.1016/s0378-7206(99)00055-5 · Cited by 266 · see citing works
Microcomputer applications: An empirical look at usage
Igbaria, M., Pavri, F. N., & Huff, S. L. (1989) · Information & Management · doi:10.1016/0378-7206(89)90036-0 · Cited by 246 · see citing works
The Determinants of DSS Success: An Integrated Model*
Guimãrães, T., Igbaria, M., & Lu, M.-T. (1992) · Decision Sciences · doi:10.1111/j.1540-5915.1992.tb00397.x · Cited by 238 · see citing works
Client/Server System Success: Exploring the Human Side
Guimãrães, T., & Igbaria, M. (1997) · Decision Sciences · doi:10.1111/j.1540-5915.1997.tb01334.x · Cited by 217 · see citing works
Avenues for Top Management Involvement in Successful MIS Development
Doll, W. J. (1985) · MIS Quarterly · doi:10.2307/249271 · Cited by 215 · see citing works
ANOTHER LOOK AT THE RELATIONSHIP BETWEEN PERFORMANCE AND VOLUNTARY TURNOVER.
WILLIAMS, C. R., & Livingstone, L. P. (1994) · Academy of Management Journal · doi:10.2307/256830 · Cited by 212 · see citing works
The Relationships among Performance of Accounting Information Systems, Influence Factors, and Evolution Level of Information Systems
Choe, J.-M. (1996) · Journal of Management Information Systems · doi:10.1080/07421222.1996.11518107 · Cited by 211 · see citing works
Usage Pattern and Sources of Assistance For Personal Computer Users
Lee, D. M. S. (1986) · MIS Quarterly · doi:10.2307/249183 · Cited by 211 · see citing works
Emerging factors in user evaluation of the World Wide Web
D’Ambra, J. D., & Rice, R. E. (2001) · Information & Management · doi:10.1016/s0378-7206(00)00077-x · Cited by 200 · see citing works
An Empirical Taxonomy of the Decision-Making Processes Concerning Strategic Applications of Information Systems
Sabherwal, R., & King, W. R. (1995) · Journal of Management Information Systems · doi:10.1080/07421222.1995.11518064 · Cited by 191 · see citing works
Self-citation
Organizational Characteristics and Information Systems: An Exploratory Investigation.
Cheney, P. H., & Dickson, G. W. (1982) · Academy of Management Journal · doi:10.2307/256032 · Cited by 190 · see citing works
Social Interaction Effects Following a Technological Change: A Longitudinal Investigation
Burkhardt, M. E. (1994) · Academy of Management Journal · doi:10.5465/256603 · Cited by 187 · see citing works
Successful Strategies for User Participation in Systems Development
McKeen, J. D., & Guimãrães, T. (1997) · Journal of Management Information Systems · doi:10.1080/07421222.1997.11518168 · Cited by 183 · see citing works
A field study of the adoption of software process innovations by information systems professionals
Agarwal, R., & Prasad, J. (2000) · IEEE Transactions on Engineering Management · doi:10.1109/17.865899 · Cited by 183 · see citing works
Exploring Individual User Satisfaction Within User-Led Development
Lawrence, M. J., & Low, G. C. (1993) · MIS Quarterly · doi:10.2307/249801 · Cited by 180 · see citing works
Correlates of user satisfaction with end user computing
Igbaria, M., & Nachman, S. A. (1990) · Information & Management · doi:10.1016/0378-7206(90)90017-c · Cited by 179 · see citing works
Total Quality Management in Information Systems Development: Key Constructs and Relationships
Ravichandran, T., & Rai, A. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518259 · Cited by 178 · see citing works
An Empirical Investigation into Factors Relating to the Adoption of Executive Information Systems: An Analysis of EIS for Collaboration and Decision Support*
Rai, A., & Bajwa, D. S. (1997) · Decision Sciences · doi:10.1111/j.1540-5915.1997.tb01337.x · Cited by 177 · see citing works
A META‐ANALYSIS OF WORK SAMPLE TEST VALIDITY: UPDATING AND INTEGRATING SOME CLASSIC LITERATURE
Roth, P. L., Bobko, P., & McFarland, L. A. (2005) · Personnel Psychology · doi:10.1111/j.1744-6570.2005.00714.x · Cited by 173 · see citing works
Determinants of EIS use: Testing a behavioral model
Bergeron, F., Raymond, L., Rivard, S., & Gara, M.-F. (1995) · Decision Support Systems · doi:10.1016/0167-9236(94)00007-f · Cited by 165 · see citing works
Where now for meta-analysis?
Egger, M., Ebrahim, S., & Smith, G. D. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.1.1 · Cited by 160 · see citing works
Testing a Causal Model of End-User Application Effectiveness
Amoroso, D. L., & Cheney, P. H. (1991) · Journal of Management Information Systems · doi:10.1080/07421222.1991.11517911 · Cited by 158 · see citing works
The Usefulness of Computer-Based Information to Public Managers
Kraemer, K. L., Danziger, J. Ν., Dunkle, D. E., & King, J. L. (1993) · MIS Quarterly · doi:10.2307/249798 · Cited by 152 · see citing works
Another Look at The Relationship Between Performance and Voluntary Turnover
Williams, C. R., & Livingstone, L. P. (1994) · Academy of Management Journal · doi:10.5465/256830 · Cited by 149 · see citing works
Change, attitude to change, and decision support system success
Barki, H., & Huff, S. L. (1985) · Information & Management · doi:10.1016/0378-7206(85)90050-3 · Cited by 137 · see citing works
An Empirical Study of the Relationships among End-User Information Systems Acceptance, Training, and Effectiveness
Lee, S. M., Kim, Y. R., & Lee, J. (1995) · Journal of Management Information Systems · doi:10.1080/07421222.1995.11518086 · Cited by 136 · see citing works
An empirical study of the performance impact of computerization in the retail industry
Teo, T. S. H., & Wong, P. K. (1998) · Omega · doi:10.1016/s0305-0483(98)00007-3 · Cited by 136 · see citing works
Measures of perceived end-user computing skills
Torkzadeh, G., & Lee, J. (2002) · Information & Management · doi:10.1016/s0378-7206(02)00090-3 · Cited by 135 · see citing works
RESEARCH NOTES: THE ANTECEDENTS AND CONSEQUENCES OF UNION COMMITMENT: A META-ANALYSIS.
Bamberger, P. A., Kluger, A. N., & Suchard, R. (1999) · Academy of Management Journal · doi:10.2307/256921 · Cited by 130 · see citing works
The influence of attitudes on personal computer utilization among knowledge workers: the case of Saudi Arabia
Al-Khaldi, M. A., & Wallace, R. S. O. (1999) · Information & Management · doi:10.1016/s0378-7206(99)00017-8 · Cited by 124 · see citing works
The Antecedents and Consequences of Union Commitment: A Meta-AnalysisPreprint
Bamberger, P. A., & Kluger, A. N. (2004) · SSRN Electronic Journal · Cited by 112 · see citing works
User involvement and user satisfaction
Amoako‐Gyampah, K., & White, K. B. (1993) · Information & Management · doi:10.1016/0378-7206(93)90021-k · Cited by 106 · see citing works
A study of personal computer utilization by managers
Mawhinney, C. H., & Lederer, A. L. (1990) · Information & Management · doi:10.1016/0378-7206(90)90026-e · Cited by 100 · see citing works
Successful IS innovation: the contingent contributions of innovation characteristics and implementation process
Yetton, P., Sharma, R., & Southon, G. (1999) · Journal of Information Technology · doi:10.1080/026839699344746 · Cited by 95 · see citing works
An Investigation of Equity as a Determinant of User Information Satisfaction
Joshi, K. (1990) · Decision Sciences · doi:10.1111/j.1540-5915.1990.tb01250.x · Cited by 94 · see citing works
The respective roles of user participation and user involvement in information system implementation success
Kappelman, L. A., & McLean, E. R. (1991) · Journal of the Association for Information Systems · Cited by 87 · see citing works
Assessing Expert Systems Impact on Users’ Jobs
Yoon, Y., & Guimãrães, T. (1995) · Journal of Management Information Systems · doi:10.1080/07421222.1995.11518076 · Cited by 84 · see citing works
Key antecedents of Executive Information System success: a path analytic approach
Bajwa, D. S., Rai, A., & Brennan, I. (1998) · Decision Support Systems · doi:10.1016/s0167-9236(97)00032-8 · Cited by 84 · see citing works
The effect of task uncertainty, decentralization and AIS characteristics on the performance of AIS: an empirical case in Taiwan
Chang, R., Chang, Y.-W., & Paper, D. J. (2003) · Information & Management · doi:10.1016/s0378-7206(02)00097-6 · Cited by 81 · see citing works
Discretionary Use of Computers: An Empirically Derived Explanatory Model*
Howard, G. S., & Mendelow, A. L. (1991) · Decision Sciences · doi:10.1111/j.1540-5915.1991.tb00345.x · Cited by 79 · see citing works
User information satisfaction, job satisfaction and computer background: An exploratory study
Ang, J. S. K., & Soh, P.-H. (1997) · Information & Management · doi:10.1016/s0378-7206(97)00030-x · Cited by 78 · see citing works
Attitudes toward computers: when do they predict computer use?
Winter, S. J., Chudoba, K. M., & Gutek, B. A. (1998) · Information & Management · doi:10.1016/s0378-7206(98)00065-2 · Cited by 75 · see citing works
Personal DSS success in small enterprises
Raymond, L., & Bergeron, F. (1992) · Information & Management · doi:10.1016/0378-7206(92)90076-r · Cited by 65 · see citing works
The relationship between procedural formalization in MIS development and MIS success
Lee, J., & Kim, S.-H. (1992) · Information & Management · doi:10.1016/0378-7206(92)90064-m · Cited by 59 · see citing works
Empirically testing the outcomes of user involvement in DSS development
Igbaria, M., & Guimãrães, T. (1994) · Omega · doi:10.1016/0305-0483(94)90076-0 · Cited by 59 · see citing works
The relationships between management styles, user participation, and system success over MIS growth stages
Lu, H., & Wang, J.-Y. (1997) · Information & Management · doi:10.1016/s0378-7206(97)00021-9 · Cited by 59 · see citing works
Middle Managers’ Contribution to Implemented Information Technology Innovation
Larsen, T. J. (1993) · Journal of Management Information Systems · doi:10.1080/07421222.1993.11518004 · Cited by 58 · see citing works
An empirical investigation of ODSS impact on individuals and organizations
Santhanam, R., Guimãrães, T., & George, J. F. (2000) · Decision Support Systems · doi:10.1016/s0167-9236(00)00089-0 · Cited by 57 · see citing works
Comparison of end-user computing characteristics in the U.S., Israel and Taiwan
Igbaria, M., & Zviran, M. (1996) · Information & Management · doi:10.1016/0378-7206(95)00044-5 · Cited by 51 · see citing works
Organizational Actions, Computer Attitudes, and End-User Satisfaction in Public Organizations
Aladwani, A. M. (2002) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2002010104 · Cited by 51 · see citing works
Empirically Testing Some Main User-Related Factors for Systems Development Quality
Guimãrães, T., Staples, D. S., & McKeen, J. D. (2003) · Quality Management Journal · doi:10.1080/10686967.2003.11919083 · Cited by 51 · see citing works
The Development of a Measure for End-User Computing Support
Mirani, R., & King, W. R. (1994) · Decision Sciences · doi:10.1111/j.1540-5915.1994.tb00817.x · Cited by 48 · see citing works
Toward a Contingency Model for Selecting an Information System Prototyping Strategy
Hardgrave, B. C., Wilson, R. L., & Eastman, K. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518248 · Cited by 47 · see citing works
Nonlinear and Noncompensatory Models in User Information Satisfaction Measurement
Sethi, V., & King, R. C. (1999) · Information Systems Research · doi:10.1287/isre.10.1.87 · Cited by 43 · see citing works
Empirically Testing the Relationship Between End‐User Computing Problems and Information Center Success Factors
Guimãrães, T., Gupta, Y. P., & Rainer, R. K. (1999) · Decision Sciences · doi:10.1111/j.1540-5915.1999.tb01615.x · Cited by 38 · see citing works
Issues in Managing Information Technology
Yap, C. S. (1989) · Journal of the Operational Research Society · doi:10.1057/jors.1989.108 · Cited by 37 · see citing works
Social Determinants of Information Systems Use
Robertson, D. (1989) · Journal of Management Information Systems · doi:10.1080/07421222.1989.11517839 · Cited by 36 · see citing works
An examination of end-user types
Schiffman, S. J., Meile, L. C., & Igbaria, M. (1992) · Information & Management · doi:10.1016/0378-7206(92)90023-9 · Cited by 35 · see citing works
Successful system development: the effect of situational factors on alternative user roles
Hawk, S. R., & Santos, B. L. D. (1991) · IEEE Transactions on Engineering Management · doi:10.1109/17.97438 · Cited by 31 · see citing works
Two conflict potentials during IS development
Yeh, Q., & Tsai, C. (2001) · Information & Management · doi:10.1016/s0378-7206(01)00088-x · Cited by 30 · see citing works
Exploring the relationship between IC success and company performance
Guimãrães, T., & Igbaria, M. (1994) · Information & Management · doi:10.1016/0378-7206(94)90037-x · Cited by 28 · see citing works
Task characteristics, decentralization, and the success of hospital information systems
Kim, K. K. (1990) · Information & Management · doi:10.1016/0378-7206(90)90018-d · Cited by 24 · see citing works
The effects of user participation on system success: toward a contingency theory of user satisfaction
King, W. R., & Lee, T.-H. (1991) · International Conference on Information Systems · doi:10.6188/jeb.1996.1(1).04 · Cited by 23 · see citing works
Effectiveness of end-user developed applications in organizations
Amoroso, D. L. (1986) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1113523.1113528 · Cited by 22 · see citing works
Effectively Utilizing Computer-Aided Design Technology: The Role of Individual Difference Variables.
Gueutal, H. G., Surprenant, N., & Bubeck, K. (1984) · Journal of the Association for Information Systems · Cited by 19 · see citing works
Plant Management, the Locus of Decision Making, and the Information Services Department
Lucas, H. C., & Palley, M. A. (1986) · Journal of Management Information Systems · doi:10.1080/07421222.1986.11517769 · Cited by 15 · see citing works
ATTITUDES TOWARD COMPUTERS: WHEN DO THEY PREDICT COMPUTER USE?
Gutek, B. A., Winter, S. J., & Chudoba, K. M. (1992) · Academy of Management Proceedings · doi:10.5465/ambpp.1992.17515834 · Cited by 15 · see citing works
Accounting and billing software and user reactions: An interactive diagnostic audit trail
Rushinek, A., & Rushinek, S. F. (1985) · Information & Management · doi:10.1016/0378-7206(85)90023-0 · Cited by 11 · see citing works
An empirical study of factors influencing interorganizational information systems implementation: A case of the real estate industry
Whang, J. (1992) · Lincoln (University of Nebraska) · Cited by 10 · see citing works
The impact of case on IS professionals' work and motivation to use case
Iivari, J., & Maansaari, J. (1997) · Journal of the Association for Information Systems · doi:10.5555/353071.353106 · Cited by 7 · see citing works
Factors related to the use of an electronic performance support system (epss)
Habelow, E. M., & Snelbecker, G. E. (2000) · Cited by 6 · see citing works
The impact of context on innovation in information systems
Russo, N. L. (1993) · University Microfilms International eBooks · Cited by 3 · see citing works
Electronic mail systems : an analysis of the use/satisfaction relationship
Dykman, C. A. (1986) · Medical Entomology and Zoology · Cited by 2 · see citing works
Microcomputers in small businesses : success factors
Schleich, J. F. (1987) · Medical Entomology and Zoology · Cited by 2 · see citing works
Factors associated with perceptions of productivity and usage of information technology in a service organization
Karpur, S. R. (1992) · University Microfilms International eBooks · Cited by 2 · see citing works
A cross-cultural model of user satisfaction with information systems
Ishman, M. D. (1995) · Medical Entomology and Zoology · Cited by 2 · see citing works
User satisfaction with electronic spreadsheet applications among financial officers of colleges and universities
Walker, R. J. (1986) · Medical Entomology and Zoology · Cited by 1 · see citing works
The influence of user involvement and other variables on behavioral intention to use an information system
Jackson, C. M. (1992) · Medical Entomology and Zoology · Cited by 1 · see citing works

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“For organizational factors, size was conceptualized by the number of employees, level of investment in ICT, and use of ERP software and other related applications to build competitive advantage (Jeyaraj et al., 2006; Metaxiotis, 2009; Pang & Jang, 2008; Sabherwal et al., 2006).”
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Authors: Sabherwal, R., Jeyaraj, A., & Chowa, C.
Affiliations: University of Missouri–St. Louis (US)
Wright State University (US)
ORCID: Sabherwal, Rajiv
Jeyaraj, Anand
Venue: Management Science
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Published: 2006-12
Volume: 52
Issue: 12
Pages: 1849-1864
ISSN: 0025-1909 (ISSN-L)
1526-5501
DOI: 10.1287/mnsc.1060.0583
OpenAlex: W2076658628
Cited by: 685
References: 166
Citations by year: 2026: 6 · 2025: 20 · 2024: 19 · 2023: 27 · 2022: 34 · 2021: 41 · 2020: 38 · 2019: 30 · 2018: 30 · 2017: 45 · 2016: 36 · 2015: 63 · 2014: 48 · 2013: 45 · 2012: 42
FWCI: 51.39
Type: journal article
Language: en
Open access: green
works.bepress.com
Licence: cc-by
Locations: Management Science (publishedVersion)
CORE Scholar (Wright State University) (submittedVersion)
Journal of Bioresource Management (submittedVersion, cc-by)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
Keywords: information system success, user satisfaction, system use, perceived usefulness, system quality, user experience, user training, user attitudes, user participation, top management support, facilitating conditions, theoretical model

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Information System Success: Individual and Organizational Determinants

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