企业中心性对肯尼亚农用化学品生产企业供应链绩效的影响

David Kiilu Samson, Dennis Gachibu Chege, Nancy Waithira Mwangi
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引用次数: 0

摘要

供应链管理者通常试图优化供应链中生产和分销环节的盈利运作。集成供应链优化是对供应链中的各个环节进行大规模精简,以确保供应链中的各个环节和参与者实现最佳运作。然而,与制造企业相比,综合供应链优化对分销企业绩效的影响尚未得到广泛研究。因此,本研究的目的是考察企业中心度对肯尼亚农用化学品生产企业供应链绩效的影响。本研究以嵌入性理论为指导,并以实证主义哲学为基础。本研究采用了描述性调查设计,以 32 家农用化学品生产企业为对象,观察单位为 96 人,即每家企业有一名管理层、一名采购人员和一名供应链人员。研究采用普查法,使用研究人员设计的问卷和访谈表收集原始数据,问卷和访谈表均经过预先测试,使用重测法进行可靠性、内容有效性和构造有效性测试。数据分析采用了描述性和推论性统计方法,描述性统计包括频率、百分比、平均值和标准偏差,推论性统计包括皮尔逊相关系数和多元回归。研究结果表明,企业中心性是肯尼亚农用化学品生产企业供应链绩效的有力预测因素。研究建议,农用化学品生产企业需要在供应链中建立更强的企业中心性。
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Influence of Firm Centrality on Supply Chain Performance of Agrochemicals Production Firms in Kenya
Characteristically, the supply-chain managers attempt to optimize profitable operations in the manufacturing and distribution in the supply chain. Integrated supply chain optimization is the large-scale streamlining of the links in the supply chain in such a way as to ensure the optimal operation of the links and actors in the supply chain. However, integrated supply chain optimization has not been extensively studied for its effect on the performance of distribution companies as opposed to manufacturing companies. Therefore, the purpose of the study was to examine the influence of firm centrality on supply chain performance of agrochemical production firms in Kenya. The Embeddedness theory guided the study which was also grounded on a positivist philosophy. This study employed the descriptive survey design targeting 32 agrochemical production firms with the unit of observation consisting of 96 persons being one management, one procurement and one supply chain staff per firm. The study adopted the census method and used primary data collected using researcher designed questionnaire and interview schedule that were both pretested using the test-retest method for reliability and content and construct validity. Data was analyzed using descriptive and inferential statistics with descriptive statistics comprising frequencies, percentages, means and standard deviations while inferential statistics comprised Pearson’s correlation coefficient and multiple regressions. The findings revealed that Firm Centrality was a strong predictor of Supply Chain Performance of Agrochemicals production firms in Kenya.The study recommended that the agrochemical production firms need to build stronger firm centrality in the supply chain.
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