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Examining the impact of Cloud ERP on sustainable performance: A dynamic capability view
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“Despite the acceptance of this framework, recent research has called for the inclusion of people factors for the successful adoption of technology”
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“These factors vary in their influence on the adoption and implementation of technological innovations across different studies”
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Xu, J., Yu, Y., Zhang, M., & Zhang, Z. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.136278 · Cited by 381
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Metadata
- Authors
- Gupta, S., Meissonier, R., Drave, V. A., & Roubaud, D.
- Affiliations
- MBS School of Business (FR)
- Université de Montpellier (FR)
- Chaoyang University of Technology (TW)
- Corresponding author
- Gupta, Shivam
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 51
- Pages
- 102028
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2985051097
- Cited by
- 175
- References
- 129
- Citations by year
- 2026: 15 · 2025: 27 · 2024: 37 · 2023: 37 · 2022: 27 · 2021: 25 · 2020: 7
- FWCI
- 19.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Information Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- HAL (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- cloud ERP, sustainable performance, dynamic capabilities, Industry 4.0, firm size, sustainable organizational performance
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 ›
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