The DOI matches its Crossref record; 67 of the 136 references it cites were found in a registry or an index, and 6 are not checked yet.
A Multi-Project Model of Key Factors Affecting Organizational Benefits from Enterprise Systems1
Abstract
This paper develops a long-term, multi-project model of factors affecting organizational benefits from enterprise systems (ES), then reports a preliminary test of the model. In the shorter-term half of the model, it is hypothesized that once a system has gone live, two factors, namely functional fit and overcoming organizational inertia, drive organizational benefits flowing from each major ES improvement project. The importance of these factors may vary from project to project. In the long-term half of the model, it is hypothesized that four additional factors, namely integration, process optimization, improved access to information, and on-going major ES business improvement projects, drive organizational benefits from ES over the long term. Preliminary tests of the model were conducted using data from 126 customer presentations from SAP’s 2003 and 2005 Sapphire U.S. conferences. All six factors were found to be important in explaining variance in organizational benefits from enterprise systems from the perspective of senior management.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“More specifically, our results show how novel digital technologies can be combined with traditional enterprise systems (Seddon et al. 2010;Sedera and Lokuge 2017;Sedera et al. 2016).”
From How affordances of chatbots cross the chasm between social and traditional enterprise systems (2020) · cites this paper as Seddon et al. 2010
Citations
Cites
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791
Information Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697
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
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
The measurement of user information satisfaction
Ives, B., Olson, M. H., & Baroudi, J. J. (1983) · Communications of the ACM · doi:10.1145/358413.358430 · Cited by 1,860
Organizational Change: A Review of Theory and Research in the 1990s
Armenakis, A. A., & Bedeian, A. G. (1999) · Journal of Management · doi:10.1177/014920639902500303 · Cited by 1,625
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
Rai, A., Lang, S. S., & Welker, R. B. (2002) · Information Systems Research · doi:10.1287/isre.13.1.50.96 · Cited by 1,611
Enterprise resource planning: Implementation procedures and critical success factors
Umble, E. J., Haft, R. R., & Umble, M. M. (2003) · European Journal of Operational Research · doi:10.1016/s0377-2217(02)00547-7 · Cited by 1,607
The relationship between total quality management practices and operational performance
Samson, D. A., & Terziovski, M. (1999) · Journal of Operations Management · doi:10.1016/s0272-6963(98)00046-1 · Cited by 1,535
An Empirical Investigation of the Factors Affecting Data Warehousing Success1
Wixom, B. H., & Watson, H. J. (2001) · MIS Quarterly · doi:10.2307/3250957 · Cited by 1,477
Flagged first, then by citations
62 of the 136 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Popovič, A., Hackney, R., Coelho, P. S., & Jaklič, J. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.08.017 · Cited by 546
“In contrast with operational systems, assessing the success of BIS is usually problematic since BIS are as rule enterprise-wide systems wheremost benefits are long-term, indirect and difficult tomeasure [69].”
BackgroundInfluentialSarker, S., Sarker, S., Sahaym, A., & Bjørn-Andersen, N. (2012) · MIS Quarterly · doi:10.2307/41410419 · Cited by 367
Côrte-Real, N., Ruivo, P., & Oliveira, T. (2020) · Information & Management · doi:10.1016/j.im.2019.01.003 · Cited by 306
Innovating 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
How does business analytics contribute to business value?
Seddon, P. B., Constantinidis, D., Tamm, T., & Dod, H. (2016) · Information Systems Journal · doi:10.1111/isj.12101 · Cited by 313
Self-citation
Metadata
- Authors
- Seddon, P. B., Calvert, C., & Yang, S.
- Affiliations
- The University of Melbourne (AU)
- Monash University (AU)
- Department of Information Systems, University of Melbourne, Victoria 3010, Australia
- ORCID
- Seddon, Peter B.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2010-06-01
- Volume
- 34
- Issue
- 2
- Pages
- 305-328
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W3142038433
- Cited by
- 211
- References
- 136
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 10 · 2023: 13 · 2022: 8 · 2021: 10 · 2020: 12 · 2019: 19 · 2018: 7 · 2017: 14 · 2016: 13 · 2015: 21 · 2014: 21 · 2013: 22 · 2012: 15
- FWCI
- 25.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Topics
- 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
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Governance and Management
- Keywords
- enterprise systems, organizational benefits, ERP implementation, functional fit, organizational inertia, system integration, process optimization, access to information, top management
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
