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Research Report: Empirical Test of an EDI Adoption Model
Abstract
This paper is the first test of a parsimonious model that posits three factors as determinants of the adoption of electronic data interchange (EDI): readiness, perceived benefits, and external pressure. To construct the model, we identified and organized the factors that were found to be influential in prior EDI research. By testing all these factors together in one model, we are able to investigate their relative contributions to EDI adoption decisions. Senior purchasing managers, chosen for their experience with EDI and proximity to the EDI adoption decision, were surveyed and their responses analyzed using structural equation modeling. All three determinants were found to be significant predictors of intent to adopt EDI, with external pressure and readiness being considerably more important than perceived benefits. We show that the constructs in this model can be categorized into three levels: technological, organizational, and interorganizational. We hypothesize that these categories of influence will also be determinants of the adoption of other emerging forms of interorganizational systems (IOS).1
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479
Extending the technology acceptance model: the influence of perceived user resources
Mathieson, K., Peacock, E., & Chin, W. W. (2001) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/506724.506730 · Cited by 1,099
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 · cited 3×
“Table 1 Comparison of the Research Model to Other Studies Saunders & Clark 1992 Bouchard 1993 Grover 1993 Premkumar et al.,1993 Premkumar & Ramamurthy 1995 Bensaou & Venkatraman 1996 Premkumar et al., 1997 Hart & Saunders 1997, 1998 Crook & Kumar 1998 Ramamurthy et al., 1999”
BackgroundMethod
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The Nature of Theory in Information Systems1
Gregor, S. (2006) · MIS Quarterly · doi:10.2307/25148742 · Cited by 3,306
Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective1
Teo, H. H., Wei, K. K., & Benbasat, I. (2003) · MIS Quarterly · doi:10.2307/30036518 · Cited by 1,639
Self-citationThe Technology–Organization–Environment Framework
Baker, J. (2012) · Integrated Series in Information Systems · doi:10.1007/978-1-4419-6108-2_12 · Cited by 1,275
Critical success factors for e-learning acceptance: Confirmatory factor models
Selim, H. M. (2007) · Computers & Education · doi:10.1016/j.compedu.2005.09.004 · Cited by 1,055
Malhotra, A., Gosain, S., & El Sawy, O. A. (2005) · MIS Quarterly · doi:10.2307/25148671 · Cited by 994
Hassanein, K., & Head, M. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.11.018 · Cited by 986
A study of the impact of social media on consumers
Hajli, M. N. (2014) · International Journal of Market Research · doi:10.2501/ijmr-2014-025 · Cited by 854
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Chen, D. Q., Preston, D. S., & Swink, M. (2015) · Journal of Management Information Systems · doi:10.1080/07421222.2015.1138364 · Cited by 829
Social commerce constructs and consumer’s intention to buy
Hajli, N. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.12.005 · Cited by 826
Weiner, B. J., Amick, H., & Lee, S.-Y. D. (2008) · Medical Care Research and Review · doi:10.1177/1077558708317802 · Cited by 786
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Cyr, D. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240402 · Cited by 766
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Nicolaou, A. I., & McKnight, D. H. (2006) · Information Systems Research · doi:10.1287/isre.1060.0103 · Cited by 682
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Jöhnk, J., Weißert, M., & Wyrtki, K. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00676-7 · Cited by 637
Predicting SMEs' adoption of enterprise systems
Ramdani, B., Kawalek, P., & Lorenzo, O. (2009) · Journal of Enterprise Information Management · doi:10.1108/17410390910922796 · Cited by 582
Do I Trust You Online, and If So, Will I Buy? An Empirical Study of Two Trust-Building Strategies
Lim, K. H., Sia, C. L., Lee, M. K. O., & Benbasat, I. (2006) · Journal of Management Information Systems · doi:10.2753/mis0742-1222230210 · Cited by 505
Self-citationA conceptual model for the process of IT innovation adoption in organizations
Hameed, M. A., Counsell, S., & Swift, S. (2012) · Journal of Engineering and Technology Management · doi:10.1016/j.jengtecman.2012.03.007 · Cited by 442
Determinants of e-business diffusion: A test of the technology diffusion perspective
Lin, H.-F., & Lin, S.-M. (2008) · Technovation · doi:10.1016/j.technovation.2007.10.003 · Cited by 447
Molla, A., & Licker, P. S. (2005) · International Journal of Electronic Commerce · doi:10.1080/10864415.2005.11043963 · Cited by 429
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
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Hsu, P.-F., Kraemer, K. L., & Dunkle, D. (2006) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415100401 · Cited by 330
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Tung, L. L., & Rieck, O. (2005) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2005.06.001 · Cited by 278
Trust transference in brick and click retailers: An investigation of the before-online-visit phase
Kuan, H.-H., & Bock, G.-W. (2007) · Information & Management · doi:10.1016/j.im.2006.12.002 · Cited by 259
Clinton-McHarg, T., Yoong, S. L., Tzelepis, F., Regan, T., Fielding, A., Skelton, E., Kingsland, M., Ooi, J. Y., & Wolfenden, L. (2016) · Implementation Science · doi:10.1186/s13012-016-0512-5 · Cited by 116
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
At your service on the table: Impact of tabletop technology on restaurant performance
Tan, T. F., & Netessine, S. (2020) · Management Science · doi:10.1287/mnsc.2019.3430 · Cited by 111
Customization and real time information access in integrated eBusiness supply chain relationships
Klein, R. (2007) · Journal of Operations Management · doi:10.1016/j.jom.2007.03.001 · Cited by 108
E-business value creation in Small and Medium Enterprises: a US study using the TOE framework
Wen, K. W., & Chen, Y. (2010) · International Journal of Electronic Business · doi:10.1504/ijeb.2010.030717 · Cited by 88
Azadegan, A., & Teich, J. (2010) · Benchmarking: An International Journal · doi:10.1108/14635771011060558 · Cited by 86
(2012) · RePEc: Research Papers in Economics · Cited by 76
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Basole, R. C., & Nowak, M. (2018) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2016.08.003 · Cited by 42
Organizational adoption of supply chain management system: A multi-theoretic investigation
Cao, Q., Gan, Q., & Thompson, M. A. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.02.003 · Cited by 39
(2006) · Cited by 34
Specifying Formative Constructs in Information Systems Research1
Petter, S., Straub, D., & Rai, A. (2007) · MIS Quarterly · doi:10.2307/25148814 · Cited by 32
Wairiuko, J. W., Nyonje, D. R., & Omulo, D. E. O. (2018) · International Journal of Business and Social Science · doi:10.30845/ijbss.v9n10p10 · Cited by 18
(2007) · Journal of the Association for Information Systems · Cited by 7
Metadata
- Authors
- Chwelos, P., Benbasat, I., & Dexter, A. S.
- Venue
- Information Systems Research
- Published
- 2001-09
- Volume
- 12
- Issue
- 3
- Pages
- 304-321
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W1973160246
- Cited by
- 1,157
- References
- 5
- FWCI
- 91.56
- Type
- journal article
- Language
- en
- Open access
- closed
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