The DOI matches its Crossref record; 87 of the 87 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
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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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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