Shaping Up for E-Commerce: Institutional Enablers of the Organizational Assimilation of Web Technologies1
Abstract
The global reach of the Web technological platform, along with the range of services that it supports, makes it a powerful business resource. However, realization of operational and strategic benefits is contingent on effective assimilation of this type III IS innovation. This paper draws upon institutional theory and the conceptual lens of structuring and metastructuring actions to explain the importance of three factors—top management championship, strategic investment rationale, and extent of coordination—in achieving higher levels of Web assimilation within an organization. Survey data are utilized to test a nomological network of relationships among these factors and the extent of organizational assimilation of Web technologies.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The migration from initial adoption to the diffusion of technological innovation is complex and involves additional steps of diffusion, routinization and extension of assimilation.
“The migration from initial adoption to the diffusion of technological innovation is complex and involves additional steps of diffusion, routinization and extension of assimilation”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Chatterjee, Grewal & Sambamurthy, 2002
Cites
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941 · 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
The Duality of Technology: Rethinking the Concept of Technology in Organizations
Orlikowski, W. J. (1992) · Organization Science · doi:10.1287/orsc.3.3.398 · Cited by 4,957 · see citing works
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726 · see citing works
Organization design: an information processing view
Galbraith, J. R. (1974) · Interfaces · doi:10.1287/inte.4.3.28 · Cited by 2,451 · see citing works
The Assimilation of Software Process Innovations: An Organizational Learning Perspective
Fichman, R. G., & Kemerer, C. F. (1997) · Management Science · doi:10.1287/mnsc.43.10.1345 · Cited by 811 · see citing works
An Empirically Derived Model for the Adoption of Customer‐based Interorganizational Systems*
Grover, V. (1993) · Decision Sciences · doi:10.1111/j.1540-5915.1993.tb01295.x · Cited by 757 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · see citing works
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921 · see citing works
Hanelt, A., Bohnsack, R., Marz, D., & Antunes Marante, C. (2021) · Journal of Management Studies · doi:10.1111/joms.12639 · Cited by 2,550 · see citing works
Zhu, K., Kraemer, K. L., & Xu, S. (2006) · Management Science · doi:10.1287/mnsc.1050.0487 · Cited by 1,440 · see citing works
Zhu, K., Kraemer, K., & Xu, S. (2003) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000475 · Cited by 1,043 · see citing works
How the use of big data analytics affects value creation in supply chain management
Chen, D. Q., Preston, D. S., & Swink, M. (2015) · Journal of Management Information Systems · doi:10.1080/07421222.2015.1138364 · Cited by 829 · see citing works
E-leadership: Re-examining transformations in leadership source and transmission
Avolio, B. J., Sosik, J. J., Kahai, S. S., & Baker, B. (2014) · The Leadership Quarterly · doi:10.1016/j.leaqua.2013.11.003 · Cited by 584 · see citing works
Zhu, K., Kraemer, K. L., Gurbaxani, V., & Xu, S. X. (2006) · MIS Quarterly · doi:10.2307/25148771 · Cited by 500 · see citing works
Sharma, R., & Yetton, P. (2003) · MIS Quarterly · doi:10.2307/30036548 · Cited by 470 · see citing works
Adopters and non-adopters of e-procurement in Singapore: An empirical study
Teo, T. S. H., Lin, S., & Lai, K.-H. (2009) · Omega · doi:10.1016/j.omega.2008.11.001 · Cited by 397 · see citing works
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 · see citing works
Using T-O-E theoretical framework to study the adoption of ERP solution
Awa, H. O., Ukoha, O., & Emecheta, B. C. (2016) · Cogent Business & Management · doi:10.1080/23311975.2016.1196571 · Cited by 272 · see citing works
LAI, F., LI, D., WANG, Q., & ZHAO, X. (2008) · Journal of Supply Chain Management · doi:10.1111/j.1745-493x.2008.00064.x · Cited by 261 · see citing works
Organizational intention to adopt big data in the B2B context: An integrated view
Sun, S., Hall, D. J., & Cegielski, C. G. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.09.003 · Cited by 212 · see citing works
An empirical investigation of factors affecting e-collaboration diffusion in SMEs
Chan, F. T. S., Yee-Loong Chong, A., & Zhou, L. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.04.004 · Cited by 202 · see citing works
AI-augmented HRM: Antecedents, assimilation and multilevel consequences
Prikshat, V., Malik, A., & Budhwar, P. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100860 · Cited by 200 · see citing works
Adoption of business analytics and impact on performance: a qualitative study in retail
Ramanathan, R., Philpott, E., Duan, Y., & Cao, G. (2017) · Production Planning & Control · doi:10.1080/09537287.2017.1336800 · Cited by 155 · see citing works
I Know I Can, But Can We?: Culture and Efficacy Beliefs in Global Virtual Teams
Hardin, A. M., Fuller, M. A., & Davison, R. M. (2007) · Small Group Research · doi:10.1177/1046496406297041 · Cited by 132 · see citing works
Supply chain innovation diffusion: Going beyond adoption
Hazen, B. T., Overstreet, R. E., & Cegielski, C. G. (2012) · The International Journal of Logistics Management · doi:10.1108/09574091211226957 · Cited by 117 · see citing works
The assimilation of RFID technology by Chinese companies: A technology diffusion perspective
Wei, J., Lowry, P. B., & Seedorf, S. (2015) · Information & Management · doi:10.1016/j.im.2015.05.001 · Cited by 112 · see citing works
Li, Y.-H. (2008) · 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings · doi:10.1109/icmse.2008.4668890 · Cited by 112 · see citing works
An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia
Alshahrani, A., Dennehy, D., & Mäntymäki, M. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2021.101617 · Cited by 106 · see citing works
Omar, A., Weerakkody, V., & Daowd, A. (2020) · Government Information Quarterly · doi:10.1016/j.giq.2020.101458 · Cited by 51 · see citing works
An Empirical Study of Some Critical Adoption Factors of ERP Software
Awa, H. O., Uko, J. P., & Ukoha, O. (2017) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2016.1265828 · Cited by 48 · see citing works
- Authors
- Chatterjee, D., Grewal, R., & Sambamurthy, V.
- Affiliations
- University of Georgia (US)
- Pennsylvania State University (US)
- Michigan State University (US)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2002-06-01
- Volume
- 26
- Issue
- 2
- Pages
- 65-89
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2129332601
- Cited by
- 945
- References
- 7
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 25 · 2023: 30 · 2022: 42 · 2021: 39 · 2020: 33 · 2019: 42 · 2018: 32 · 2017: 65 · 2016: 49 · 2015: 52 · 2014: 50 · 2013: 47 · 2012: 49
- FWCI
- 72.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Funders
- Cisco Systems
- Florida State University
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- e-commerce, organizational assimilation, institutional theory, top management support, strategic investment, coordination, information systems innovation
About these checks
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 ›
Are you an author, or do you see a problem with this page? Request a review
