The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
The Role of Information Systems Resources in ERP Capability Building and Business Process Outcomes
Abstract
Many enterprise resource planning (ERP) implementation projects fail despite huge investments. To explain such failures, we draw on the resource-based view (RBV) of the firm to define various dimensions of information systems (IS) resources. Using resource-picking and capability-building arguments, we examine the relationships between IS resources and ERP capabilities to find out whether they have complementary effects on outcomes. Empirical results from a survey of manufacturing firms that recently implemented ERP systems support the hypothesized model. For IS research, this study further develops the complementary and capability-building roles of IS resources, integrates RBV into our current knowledge of ERP implementation, and provides theoretical explanations for when or under what conditions building ERP capabilities has the highest impact on business process outcomes. For IS practice, it emphasizes the importance of IS resources in building ERP capabilities, provides preliminary measures for IS resource dimensions, and demonstrates their impact on firms' ERP capabilities and consequent business process outcomes.
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Cites
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Cited by
Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020) · Information & Management · doi:10.1016/j.im.2019.05.003 · Cited by 1,788
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Exploring the path to big data analytics success in healthcare
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Metadata
- Authors
- Karimi, J., Somers, T. M., & Bhattacherjee, A.
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2007-10
- Volume
- 24
- Issue
- 2
- Pages
- 221-260
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W2007570394
- Cited by
- 257
- References
- 19
- FWCI
- 24.00
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
