Supply chain management scholar’s research impact: moderated mediation analysis
Supply chain management scholar’s research impact: moderated mediation analysis
Purpose: the purpose of this paper is to draw on social capital theory to develop a model to explain the determinants of a supply chain management scholar’s academic research impact.
Design/methodology/approach: drawing from a database of 450 supply chain management scholars in different countries collected from ResearchGate and the World Bank, the bootstrapping method was applied on the moderated mediation analysis.
Findings: analysis of the mediating role of a scholar’s social capital suggests that social capital theory has a strong explanatory power on the relationship between a scholar’s research skill and academic impact. To account for the boundary effect at the country-level, the authors further examine if this mechanism differs by country in the supply chain management research context.
Research limitations/implications: the findings from this study are from a single research area, which limits the generalizability of the study. Although the data are collected from different sources, including ResearchGate and the World Bank, it is cross-sectional in nature. The variables in this model do not have strong causal relationships.
Practical implications: the results suggest that supply chain management scholars can reap the benefits of their social capital. Specifically, scholars can enhance their academic impact by increasing their social capital.
Originality/value: the results provide a reference for supply chain management scholars keen on enhancing their academic research impact. It also provides a reference to explain why country-level differences can influence these scholars.
118-135
Zhang, Yucheng
3a7eb0ef-8c03-419f-abdf-4f11f9d097ea
Wu, Yenchun Jim
53f54e75-4c7f-47b6-b4db-f075065d1bd5
Goh, Mark
52939236-97bd-44dd-9ea3-e6a23e570942
Liu, Xinhong
62cd2364-0f77-498c-af4d-9f5853f48e93
Zhang, Yucheng
3a7eb0ef-8c03-419f-abdf-4f11f9d097ea
Wu, Yenchun Jim
53f54e75-4c7f-47b6-b4db-f075065d1bd5
Goh, Mark
52939236-97bd-44dd-9ea3-e6a23e570942
Liu, Xinhong
62cd2364-0f77-498c-af4d-9f5853f48e93
Zhang, Yucheng, Wu, Yenchun Jim, Goh, Mark and Liu, Xinhong
(2019)
Supply chain management scholar’s research impact: moderated mediation analysis.
Library Hi Tech, 37 (1), .
(doi:10.1108/LHT-07-2017-0149).
Abstract
Purpose: the purpose of this paper is to draw on social capital theory to develop a model to explain the determinants of a supply chain management scholar’s academic research impact.
Design/methodology/approach: drawing from a database of 450 supply chain management scholars in different countries collected from ResearchGate and the World Bank, the bootstrapping method was applied on the moderated mediation analysis.
Findings: analysis of the mediating role of a scholar’s social capital suggests that social capital theory has a strong explanatory power on the relationship between a scholar’s research skill and academic impact. To account for the boundary effect at the country-level, the authors further examine if this mechanism differs by country in the supply chain management research context.
Research limitations/implications: the findings from this study are from a single research area, which limits the generalizability of the study. Although the data are collected from different sources, including ResearchGate and the World Bank, it is cross-sectional in nature. The variables in this model do not have strong causal relationships.
Practical implications: the results suggest that supply chain management scholars can reap the benefits of their social capital. Specifically, scholars can enhance their academic impact by increasing their social capital.
Originality/value: the results provide a reference for supply chain management scholars keen on enhancing their academic research impact. It also provides a reference to explain why country-level differences can influence these scholars.
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e-pub ahead of print date: 9 May 2019
Identifiers
Local EPrints ID: 484193
URI: http://eprints.soton.ac.uk/id/eprint/484193
ISSN: 0737-8831
PURE UUID: 1e2c7bb0-a9ad-4a51-bdca-c74850376d32
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Date deposited: 13 Nov 2023 17:53
Last modified: 18 Mar 2024 04:13
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Author:
Yucheng Zhang
Author:
Yenchun Jim Wu
Author:
Mark Goh
Author:
Xinhong Liu
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