供应链管理实践对尼日利亚上市制造企业经营绩效的影响:采购外包与订单流程管理视角

S. Omigie, Izegbua Oguns-Obasohan
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引用次数: 0

摘要

本研究探讨了供应链管理实践对尼日利亚制造企业经营绩效的影响。反之,本研究采用横断面调查研究设计。数据主要来源于问卷调查。在尼日利亚证券交易所(NSE)上市并在尼日利亚江户和三角洲州经营的所有制造业公司的4,984名员工组成了这项研究的人口。使用Yamane公式计算了370个样本量,并进行了相同数量的问卷调查,但在测试制定的假设时发现318个适合。使用描述性和推断性统计工具分析研究数据。基于普通最小二乘回归,研究发现采购外包(?= 0.082974, t-Statistic= 3.049313, p<0.05)和订单流程管理(?= 0.349839, t-Statistic= 7.972484, p<0.05)与尼日利亚上市制造企业经营绩效呈正相关,且有统计学意义。基于这些结论,该研究建议制造企业的管理层对行业中最好的参与者进行基准测试,作为改进其采购外包实践的一种方式,并且应该使用跟踪订单处理的灵活性和可靠性的指标对订单处理系统的设施和能力进行常规评估。这将使他们能够获得并保持无与伦比的供应链绩效。
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The Influence of Supply Chain Management Practises on Operational Performance of Quoted Manufacturing Firms in Nigeria: Procurement Outsourcing And Order Process Management View
The study explored the influence of supply chain management practises on operational performance in the manufacturing firms in Nigeria. Conversely, the study adopted the cross-sectional survey research design. Data were primarily sourced through administered questionnaires. A collection of four thousand, nine hundred and eighty-four (4,984) employees of all manufacturing firms listed on the Nigerian Stock Exchange (NSE) and operating in Nigeria's Edo and Delta States make up the study's population. A sample size of 370 was computed using the Yamane’s formula and same number of questionnaires was administered but 318 were found fit in testing the formulated hypotheses. Research data were analyzed, using descriptive and inferential statistical instruments. Based on the ordinary least squares regression, the study revealed that procurement outsourcing (?= 0.082974, t-Statistic= 3.049313 and p<0.05) and order process management (?= 0.349839, t-Statistic= 7.972484 and p<0.05) have positive and statistically significant relationship with operational performance of quoted manufacturing firms in Nigeria. Based on these conclusions, the study suggested that management of manufacturing firms conduct a benchmarking exercise for best players in the industry as a way to improve their procurement outsourcing practices, and that the facility and competence of order processing system should be routinely evaluated using indicators that tracked the flexibility and dependability of order handling. This would allow them to attain and keep up supply chain performance that is unmatched.
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