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Supply Chain Risk Factors, Technological Capabilities, and Firm Performance of Small to Medium Enterprises (SMEs)

James Kanyepe et al.

Journal of Small Business Strategy2025https://doi.org/10.53703/001c.125910article
ABDC C
Weight
0.56

What the paper says

This study examines the effect of supply chain risk factors on the performance of SMEs in the manufacturing sector of Harare and Zimbabwe. This study also explores the moderating role of technological capabilities in this relationship. A cross-sectional survey of 530 SME owners and managers was conducted via a structured questionnaire. Structural equation modeling (SEM) and moderated regression analysis were used to test the research hypotheses. The study revealed that financial constraints, the availability of skilled labor, information security, and supplier reliability positively influence both financial and operational performance. The results also revealed that technological capability moderates the effects of supply chain risk factors on firm performance. This study recommends that SMEs adopt artificial intelligence, machine learning, and data analytics to manage risk effectively. The key contribution of this study lies in its thorough analysis of diverse risk factors, identification of their positive influence on both financial and operational performance, and novel insight into the moderating role of technological capabilities.

10 citations

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https://doi.org/https://doi.org/10.53703/001c.125910

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@article{james2025,
  title        = {{Supply Chain Risk Factors, Technological Capabilities, and Firm Performance of Small to Medium Enterprises (SMEs)}},
  author       = {James Kanyepe et al.},
  journal      = {Journal of Small Business Strategy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.53703/001c.125910},
}

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Evidence weight

0.56

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.55 × 0.4 = 0.22
M · momentum0.75 × 0.15 = 0.11
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.