Article history: Received November 5, 2018 Accepted December 4 2018 Available online December 4 2018 This paper examines the effect of supply chain on performance indicators including sales growth and… Click to show full abstract
Article history: Received November 5, 2018 Accepted December 4 2018 Available online December 4 2018 This paper examines the effect of supply chain on performance indicators including sales growth and market value in the context of manufacturing firms in Kuwait. The dimensions of supply chain; namely strategic supplier partnership, information sharing, and information quality are also added in the model. Along with sales growth and market value, industry leadership, future outlook, overall response to competition, overall business performance, employee’s productivity, process productivity, and success rate in the launching of new product are some of the important indicators for measuring firms’ performance. Both factor analysis and structural equation modelling approaches are applied to the sample of 314 respondents taken from the manufacturing firms in Kuwait. Factor analysis provides some evidence that all the indicators for supply chain and business performance can be considered for the structural modelling and regression analysis. The core findings under structural modelling indicate that both strategic supplier partnership and information sharing had positive and significant impacts on the overall business performance. However, information quality appears to be the insignificant determinant of business performance. For the sales growth and market value, strategic supplier partnership and information sharing are significant determinants obtained through the regression analysis. The originality of the study can be viewed with reference to the selected performance measures and their determination through supply chain management. However, this study is confined only to the manufacturing sector and the services sector can be focused by incorporating additional performance measures and suitable sample size in future studies.
               
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