The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Research on the Relationship between Digital Transformation and Performance of SMEs
Open accessAbstract
Objective: Through an empirical analysis of the performance of SMEs undergoing digital transformation, this study attempts to identify the influencing factors that determine their sustainable development to provide reference for academic researchers and industrial decision makers. Method: This study first uses an interview method to investigate the impact of SMEs’ three main resources on digital transformation: digital technology, employee digital skills, and digital transformation strategy. Second, we assess the impact of digital transformation on financial performance. Using the structural equation model, 335 valid questionnaires were recovered through the questionnaire method, and the key factors were identified using SPSS and SPSSAU tools. Results: In the Chinese context, digital transformation affects SME performance, and the three resources mentioned above are positively correlated with SMEs’ digital transformation. Digital transformation is positively correlated with performance, and it is the mediator of the impact of digital transformation strategies on performance. Conclusion: For SMEs, focusing on investing in digital technologies, employee digital skills, and digital transformation strategies are three key factors that are beneficial for digital transformation, thus helping to improve performance and maintain their sustainable development.
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Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Digital transformation success under Industry 4.0: a strategic guideline for manufacturing SMEs
Ghobakhloo, M., & Iranmanesh, M. (2021) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-11-2020-0455 · Cited by 379
How intelligent is Watson? Enabling digital transformation through artificial intelligence
Magistretti, S., Dell’Era, C., & Messeni Petruzzelli, A. (2019) · Business Horizons · doi:10.1016/j.bushor.2019.08.004 · Cited by 159
Metadata
- Authors
- Teng, X., Wu, Z., & Yang, F.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2022-05-16
- Volume
- 14
- Issue
- 10
- Pages
- 6012
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4280491396
- Cited by
- 286
- References
- 3
- FWCI
- 38.61
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
