The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective1
Abstract
This study used institutional theory as a lens to understand the factors that enable the adoption of interorganizational systems. It posits that mimetic, coercive, and normative pressures existing in an institutionalized environment could influence organizational predisposition toward an information technology-based interorganizational linkage. Survey-based research was carried out to test this theory. Following questionnaire development, validation, and pretest with a pilot study, data were collected from the CEO, the CFO, and the CIO to measure the institutional pressures they faced and their intentions to adopt financial electronic data interchange (FEDI). A firm-level structural model was developed based on the CEO’s, the CFO’s, and the CIO’s data. LISREL and PLS were used for testing the measurement and structural models respectively. Results showed that all three institutional pressures— mimetic pressures, coercive pressures, and normative pressures—had a significant influence on organizational intention to adopt FEDI. Except for perceived extent of adoption among suppliers, all other subconstructs were significant in the model. These results provide strong support for institutional-based variables as predictors of adoption intention for interorganizational linkages. These findings indicate that organizations are embedded in institutional networks and call for greater attention to be directed at understanding institutional pressures when investigating information technology innovations adoption.
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“Mimetic, coercive, and normative forces can play a role in influencing institutions to adopt digital transformation (Teo et al., 2003).”
From Mastering digital transformation: The nexus between leadership, agility, and digital strategy (2022) · cites this paper as Teo et al., 2003
Citations
Cites
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Economic Action and Social Structure: The Problem of Embeddedness
Granovetter, M. (1985) · American Journal of Sociology · doi:10.1086/228311 · Cited by 28,745
Institutionalized Organizations: Formal Structure as Myth and Ceremony
Meyer, J. W., & Rowan, B. (1977) · American Journal of Sociology · doi:10.1086/226550 · Cited by 28,308
DiMaggio, P., & Powell, W. W. (2004) · Advances in strategic management · doi:10.1016/s0742-3322(00)17011-1 · Cited by 25,973
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926
External Control of Organizations: Resource Dependence Perspective
Miner, J. B. (2011) · Routledge eBooks · doi:10.4324/9781315701967-54 · Cited by 14,229
The New Institutionalism in Organizational Analysis
Powell, W., & DiMaggio, P. (1993) · Administrative Science Quarterly · doi:10.2307/2393344 · Cited by 11,926
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Self-citation
Research works printed but not linked: 19
- Azjen, 1980, Understanding Attitudes and Predicting Behavior
- Bagozzi, 1980, Causal Models in Marketing
- Bagozzi, 1982, Theoretical Concepts, Measurement, and Meaning
- Barclay, 1995, The Partial Least Squares Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration, Technology Studies, 2, 285
- Cyert, 1963, A Behavioral Theory of the Firm
- Fallon, 1988, GM Europe Blazes EDI Trail: Will Link 2000 Suppliers in Seven Countries, MIS Week
- Fornell, 1982, A Second Generation of Multivariate Analysis, Methods
- King, 1990, Singapore’s TradeNet: A Tale of One City
- Kerlinger, 1986, Foundations of Behavioral Research
- March, 1981, Decisions in Organizations and Theories of Choice, 205
- Miner, 1995, Population Level Learning, 115
- Nunnally, 1978, Psychometric Theory
- O’Hanlon, 1993, Financial Electronic Data Interchange: Closing the Loop
- Poole, 1989, Toward a General Theory of Innovation Processes, 637
- Rogers, 1995, Diffusion of Innovations
- Schelling, 1978, Micromotives and Macrobehavior
- Sisodia, 1992, Singapore Invests in the Nation-Corporation, Harvard Business Review, 70, 40
- Teo, H. H. Organizational Predisposition Toward an Information Technology Innovation Adoption: The Roles of Three Theoretical Perspectives in the Case of Financial Electronic Data Interchange, Unpublished Ph.D. Dissertation, National University of Singapore, October 1998.
- Teo, 2001, Factors Influencing the Adoption of IT-Based Interorganizational Linkages: An Integrative Perspective
Cited by
Sorted by citations
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
“These findings extend the work of Teo et al. (2003b) from the adoption phase to the assimilation phase of IT innovations.”
BackgroundMethodResultInfluentialStructural Equation Modeling in Information Systems Research Using Partial Least Squares
Urbach, N., & Ahlemann, F. (2010) · The Journal of Information Technology Theory and Application · Cited by 1,659
Zhu, K., & Kraemer, K. L. (2005) · Information Systems Research · doi:10.1287/isre.1050.0045 · Cited by 1,723
“Hence, we include technology competence in our model.5 Second, e-business is also influenced by organizational factors because these variables may constrain or facilitate the implementation and usage of e-business (Teo et al. 2003).”
BackgroundUnderstanding the determinants of RFID adoption in the manufacturing industry
Wang, Y.-M., Wang, Y.-S., & Yang, Y.-F. (2010) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.03.006 · Cited by 912
Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019) · British Journal of Management · doi:10.1111/1467-8551.12355 · Cited by 881
“Teo et al. (2003) argue that NP acts as an impetus for the adoption of interorganizational information systems.”
Metadata
- Authors
- Teo, H. H., Wei, K. K., & Benbasat, I.
- Affiliations
- National University of Singapore (SG)
- University of British Columbia (CA)
- ORCID
- Wei, K. K.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2003-03-01
- Volume
- 27
- Issue
- 1
- Pages
- 19-49
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2097700858
- Semantic Scholar
- e759bed5046982ab9e6812e74606ead3df042c38
- Cited by
- 1,639
- References
- 85
- Citations by year
- 2026: 40 · 2025: 53 · 2024: 47 · 2023: 77 · 2022: 74 · 2021: 67 · 2020: 65 · 2019: 68 · 2018: 85 · 2017: 81 · 2016: 78 · 2015: 97 · 2014: 106 · 2013: 93 · 2012: 111
- FWCI
- 81.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- interorganizational systems, technology adoption intention, institutional theory, mimetic pressure, coercive pressure, normative pressure, information technology adoption, institutional pressures, organizational embeddedness
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