The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Leveraging IT Capabilities and Competitive Process Capabilities for the Management of Interorganizational Relationship Portfolios
Abstract
Firms are increasingly dependent on external resources and are establishing portfolios of interorganizational relationships (IRs) to leverage external resources for competitive advantage. However, the systems of information technology (IT) and process capabilities that firms should develop to manage IR portfolios dynamically are not well-understood. In order to theorize how key structural IT capabilities (IT integration and IT reconfiguration) and competitive process capabilities (process alignment, partnering flexibility, and offering flexibility) operate as systems of complements, we draw on the competitive dynamics perspective and resource dependency theory and on the literature for IT business value, interorganizational systems, and interorganizational relationship management. We also theorize how a firm's IR portfolio moderates the effects of structural IT capabilities on competitive process capabilities and why a firm's environmental turbulence moderates the effects of complementary process capabilities on competitive performance. We test our model using survey data from 318 firms in 4 industries. Our results provide broad support for the following: (1) structural IT capabilities and process capabilities operating as a system of complements, (2) the effects of structural IT capabilities on competitive process capabilities being contingent on IR portfolio concentration, and (3) the effects of complementary process capabilities on competitive performance being contingent on environmental turbulence. We discuss the theoretical and practical implications of how firms should develop complementary systems of structural IT capabilities and competitive process capabilities to manage IR portfolios dynamically and leverage external resources.
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Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Clarifying the Entrepreneurial Orientation Construct and Linking It to Performance
Lumpkin, G. T., & Dess, G. G. (1996) · The Academy of Management Review · doi:10.5465/amr.1996.9602161568 · Cited by 10,159
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Determinants of Long-Term Orientation in Buyer-Seller Relationships
Ganesan, S. (1994) · Journal of Marketing · doi:10.1177/002224299405800201 · Cited by 6,741
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Conventional wisdom on measurement: A structural equation perspective.
Bollen, K., & Lennox, R. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.2.305 · Cited by 3,618
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“Competitive performance is defined as the degree to which a firm attains its objectives in relation to its main competitors Rai and Tang [121] set of previously unavailable sets of decision options to the firm [10,53].”
BackgroundMikalef, P., & Pateli, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.09.004 · Cited by 1,038
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
Song, P., Xue, L., Rai, A., & Zhang, C. (2018) · MIS Quarterly · doi:10.25300/misq/2018/13737 · Cited by 273
Self-citationInnovating 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
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
Khattak, A., Tabash, M. I., Yousaf, Z., Radulescu, M., Nassani, A. A., & Haffar, M. (2022) · Journal of Entrepreneurship in Emerging Economies · doi:10.1108/jeee-08-2021-0318 · Cited by 72
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Chou, S. W., Techatassanasoontorn, A. A., & Hung, I. H. (2015) · Information & Management · doi:10.1016/j.im.2014.10.003 · Cited by 43
Metadata
- Authors
- Rai, A., & Tang, X.
- Venue
- Information Systems Research
- Published
- 2010-09
- Volume
- 21
- Issue
- 3
- Pages
- 516-542
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W1965982997
- Cited by
- 410
- References
- 17
- FWCI
- 44.95
- Type
- journal article
- Language
- en
- Open access
- closed
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