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Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value1
Abstract
Despite the importance to researchers, managers, and policy makers of how information technology (IT) contributes to organizational performance, there is uncertainty and debate about what we know and don’t know. A review of the literature reveals that studies examining the association between information technology and organizational performance are divergent in how they conceptualize key constructs and their interrelationships. We develop a model of IT business value based on the resource-based view of the firm that integrates the various strands of research into a single framework. We apply the integrative model to synthesize what is known about IT business value and guide future research by developing propositions and suggesting a research agenda. A principal finding is that IT is valuable, but the extent and dimensions are dependent upon internal and external factors, including complementary organizational resources of the firm and its trading partners, as well as the competitive and macro environment. Our analysis provides a blueprint to guide future research and facilitate knowledge accumulation and creation concerning the organizational performance impacts of information technology.
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Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
The resource-based theory of competitive advantage: Implications for strategy formulation
Grant, R. M. (1991) · California Management Review · doi:10.2307/41166664 · Cited by 9,699
Strategic assets and organizational rent
Amit, R., & Schoemaker, P. J. H. (1993) · Strategic Management Journal · doi:10.1002/smj.4250140105 · Cited by 8,425
Strategic Factor Markets: Expectations, Luck, and Business Strategy
Barney, J. B. (1986) · Management Science · doi:10.1287/mnsc.32.10.1231 · Cited by 5,548
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Information Technology and Organizational Change: Causal Structure in Theory and Research
Markus, M. L., & Robey, D. (1988) · Management Science · doi:10.1287/mnsc.34.5.583 · Cited by 2,108
Telecommunications Infrastructure and Economic Development: A Simultaneous Approach
Röller, L.-H., & Waverman, L. (2001) · American Economic Review · doi:10.1257/aer.91.4.909 · Cited by 1,815
The impact of information systems on organizations and markets
Gurbaxani, V., & Whang, S. (1991) · Communications of the ACM · doi:10.1145/99977.99990 · Cited by 960
Self-citationInvestment in Enterprise Resource Planning: Business Impact and Productivity Measures
Hitt, L. M., Wu, D. J., & Zhou, X. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045716 · Cited by 877
Analyzing the past to prepare for the future
(2002) · MIS Quarterly · doi:10.5555/2017160.2017162 · Cited by 179
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Paré, G., Trudel, M.-C., Jaana, M., & Kitsiou, S. (2015) · Information & Management · doi:10.1016/j.im.2014.08.008 · Cited by 1,987
A Guide to Conducting a Systematic Literature Review of Information Systems Research
Okoli, C., & Schabram, K. (2011) · doi:10.2139/ssrn.1954824 · Cited by 1,849
Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020) · Information & Management · doi:10.1016/j.im.2019.05.003 · Cited by 1,788
Mikalef, P., & Gupta, M. (2021) · Information & Management · doi:10.1016/j.im.2021.103434 · Cited by 1,700
Wang, Y., Kung, L., & Byrd, T. A. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.12.019 · Cited by 1,571
How to improve firm performance using big data analytics capability and business strategy alignment?
Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.08.018 · Cited by 1,624
Toward the development of a big data analytics capability
Gupta, M., & George, J. F. (2016) · Information & Management · doi:10.1016/j.im.2016.07.004 · Cited by 1,445
A Guide to Conducting a Standalone Systematic Literature Review
Okoli, C. (2015) · Communications of the Association for Information Systems · doi:10.17705/1cais.03743 · Cited by 1,413
Tallon, P. P., & Pinsonneault, A. (2011) · MIS Quarterly · doi:10.2307/23044052 · Cited by 1,187
Mikalef, P., & Pateli, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.09.004 · Cited by 1,038
The Role of Relational Information Processes and Technology Use in Customer Relationship Management
Jayachandran, S., Sharma, S., Kaufman, P., & Raman, P. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.177 · Cited by 966
Creating Strategic Business Value from Big Data Analytics: A Research Framework
Grover, V., Chiang, R. H. L., Liang, T.-P., & Zhang, D. (2018) · Journal of Management Information Systems · doi:10.1080/07421222.2018.1451951 · Cited by 961
Cocreation of Value in a Platform Ecosystem: The Case of Enterprise Software1
Ceccagnoli, M., Forman, C., Huang, P., & Wu, D. J. (2012) · MIS Quarterly · doi:10.2307/41410417 · Cited by 794
Big data analytics in E-commerce: a systematic review and agenda for future research
Akter, S., & Wamba, S. F. (2016) · Electronic Markets · doi:10.1007/s12525-016-0219-0 · Cited by 684
Information System Success: Individual and Organizational Determinants
Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006) · Management Science · doi:10.1287/mnsc.1060.0583 · Cited by 685
Drnevich, P. L., & Kriauciunas, A. P. (2011) · Strategic Management Journal · doi:10.1002/smj.882 · Cited by 681
Assessing business value of big data analytics in European firms
Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.011 · Cited by 538
New games, new rules: big data and the changing context of strategy
Constantiou, I. D., & Kallinikos, J. (2015) · Journal of Information Technology · doi:10.1057/jit.2014.17 · Cited by 526
An integrated big data analytics-enabled transformation model: application to health care
Wang, Y., Kung, L., Wang, W. Y. C., & Cegielski, C. G. (2018) · Information & Management · doi:10.1016/j.im.2017.04.001 · Cited by 508
Chae, H.-C., Koh, C. E., & Prybutok, V. R. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.14 · Cited by 461
Tallon, P. P., Queiroz, M., Coltman, T., & Sharma, R. (2019) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2018.12.002 · Cited by 453
Research on information systems failures and successes: Status update and future directions
Dwivedi, Y. K., Wastell, D., Laumer, S., Henriksen, H. Z., Myers, M. D., Bunker, D., Elbanna, A., Ravishankar, M. N., & Srivastava, S. C. (2015) · Information Systems Frontiers · doi:10.1007/s10796-014-9500-y · Cited by 448
Schryen, G. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2012.45 · Cited by 420
Data Analytics, Innovation, and Firm Productivity
Wu, L., Hitt, L., & Lou, B. (2020) · Management Science · doi:10.1287/mnsc.2018.3281 · Cited by 368
Three-Way Complementarities: Performance Pay, Human Resource Analytics, and Information Technology
Aral, S., Brynjolfsson, E., & Wu, L. (2012) · Management Science · doi:10.1287/mnsc.1110.1460 · Cited by 365
Sivarajah, U., Irani, Z., Gupta, S., & Mahroof, K. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.04.005 · Cited by 332
Determinants of E-Business Use in U.S. Firms
Hsu, P.-F., Kraemer, K. L., & Dunkle, D. (2006) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415100401 · Cited by 330
Benitez, J., Castillo, A., Llorens, J., & Braojos, J. (2018) · Information & Management · doi:10.1016/j.im.2017.09.004 · Cited by 318
Coombs, C., Hislop, D., Taneva, S. K., & Barnard, S. (2020) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2020.101600 · Cited by 301
“For example, organisations could use Intelligent Automation for efficiency or productivity-enhancement strategies, supporting changes/improvements in service quality, innovation-enhancement policy, or strategy linked to the provision of new products or services (Melville et al., 2004).”
BackgroundMethodInfluentialGarrison, G., Wakefield, R. L., & Kim, S. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.03.001 · Cited by 250
Innovating with enterprise systems and digital platforms: A contingent resource-based theory view
Sedera, D., Lokuge, S., Grover, V., Sarker, S., & Sarker, S. (2016) · Information & Management · doi:10.1016/j.im.2016.01.001 · Cited by 246
Zhang, T. (., Agarwal, R., & Lucas, H. C. (2011) · MIS Quarterly · doi:10.2307/41409964 · Cited by 233
Information Technology Impacts on Firm Performance: An Extension of Kohli and 1
Sabherwal, R., & Jeyaraj, A. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.4.4 · Cited by 200
E‐commerce usage and business performance in the Malaysian tourism sector: empirical analysis
Intan Salwani, M., Marthandan, G., Daud Norzaidi, M., & Choy Chong, S. (2009) · Information Management & Computer Security · doi:10.1108/09685220910964027 · Cited by 202
Raymond, L., Bergeron, F., & Blili, S. (2005) · Electronic Markets · doi:10.1080/10196780500083761 · Cited by 186
Shah, R., & Shin, H. (2007) · Journal of Operations Management · doi:10.1016/j.jom.2007.01.011 · Cited by 133
Digitally transforming work styles in an era of infectious disease
Kodama, M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102172 · Cited by 116
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Bruque-Cámara, S., Moyano-Fuentes, J., & Maqueira-Marín, J. M. (2016) · Journal of Purchasing and Supply Management · doi:10.1016/j.pursup.2016.04.003 · Cited by 110
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Lin, Y.-K., Lin, M., & Chen, H. (2019) · Information Systems Research · doi:10.1287/isre.2018.0813 · Cited by 101
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Liang, Y., Qi, G., Zhang, X., & Li, G. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2019.101397 · Cited by 65
Technostress Creators and Burnout: A Job Demands-Resources Perspective
Mahapatra, M., & Pati, S. P. (2018) · Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research · doi:10.1145/3209626.3209711 · Cited by 62
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Gupta, M., & Narain, R. (2012) · International Journal of Business Information Systems · doi:10.1504/ijbis.2012.047148 · Cited by 11
Work Characteristics as Determinants of Remote Working Acceptance: Integrating UTAUT and JD-R Models
Massa, N., Santarpia, F. P., & Consiglio, C. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-35596-7_12 · Cited by 10
Exploring the Role of Government in Information Technology Diffusion
Zhang, C., Cui, L., Huang, L., & Zhang, C. (2007) · IFIP International Federation for Information Processing · doi:10.1007/978-0-387-72804-9_26 · Cited by 8
Metadata
- Authors
- Melville, N., Kraemer, K., & Gurbaxani, V.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2004-06-01
- Volume
- 28
- Issue
- 2
- Pages
- 283-322
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2169855821
- Cited by
- 3,372
- References
- 11
- FWCI
- 138.97
- Type
- journal article
- Language
- en
- Open access
- closed
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