Barriers to effective value chain management in developing countries: new insights from the cotton industrial value chain
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Received July 24, 2017;Accepted November 9, 2017;Published January 26, 2018
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Author(s)Link to ORCID Index: http://orcid.org/0000-0001-9115-7000ResearcherID: C-2809-2018
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DOIhttp://dx.doi.org/10.21511/ppm.16(1).2018.03
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Article InfoVolume 16 2018, Issue #1, pp. 22-35
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Cited by2 articlesJournal title: The Journal of Agricultural Education and ExtensionArticle title: The barriers hindering the application of the value chain in the context of rural entrepreneurshipDOI: 10.1080/1389224X.2020.1726780Volume: 26 / Issue: 4 / First page: 365 / Year: 2020Contributors: Pouria Ataei, Hamed Ghadermarzi, Hamid Karimi, Arash NorouziJournal title: South African Journal of Information ManagementArticle title: Unleashing the power of the 4IR in organisational value chains: A conceptual analysisDOI: 10.4102/sajim.v26i1.1805Volume: 26 / Issue: 1 / First page: / Year: 2024Contributors: Olutoyin O. Olaitan, Arthur Mapanga
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A rigorous and extensive application of the value chain management (VCM) has become the vogue in modern day business practices and processes. However, due to the complex and multidimensional nature of value chains, achieving efficient and effective value chain management in real value chains remains a major conundrum for practitioners. Many unknown barriers continue to impede effective and efficient value chain management in developing countries’ industrial value chains. The purpose of this study was to find out the common barriers to effective value chain management in a developing country’s industrial value chains using evidence from the cotton industry in Zimbabwe. The analysis was based on survey data sets obtained from 157 purposively sampled experts from the cotton industry value chain in Zimbabwe. Exploratory factor analysis was used to find the barriers to effective value chain management. The results revealed both architectural and governance barriers to effective value chain management. The findings also presented major policy implications for industrial value chains in the developing countries and also indicated areas for further robust research founded on a broader data set from other developing countries’ industrial chains as a way of validating the findings of this study.
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JEL Classification (Paper profile tab)L22, M10, M11
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References44
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Tables6
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Figures0
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- Table 1. Reliability testing on the items measuring the barriers to effective VCM
- Table 2. Results of KMO and Bartlett’s test of sphericity on barriers to effective VCM
- Table 3. Eigenvalues of the barriers in the cotton industry value chain in Zimbabwe
- Table 4. Initial solution on the barriers
- Table 5. Equamax factor rotation on the barriers to effective VCM
- Table 6. Summary of barriers to effective and efficient VCM in the Zimbabwe cotton value chain
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