Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720460
Title: From supply chain integration to operational performance : the moderating effect of demand uncertainty
Author: Ding, Yi
Awarding Body: University of Warwick
Current Institution: University of Warwick
Date of Award: 2016
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Thesis embargoed until 20 Mar 2019
Access from Institution:
Abstract:
The aim of this study is to examine the moderating effect of demand uncertainty on the relationship between supply chain integration and operational performance of automotive supply chains in China. Several studies have previously been performed by providing empirical evidence to examine the supply chain integration to operational performance relationship. However, their empirical findings are inconsistent. Some authors investigated the supply chain integration from an aggregated level and explicitly indicated that the degree of integration always improves the operational performance. On the other hand, some studies indicate negative and non-significant relationships between supply chain integration and operational performance in sub-dimensions. Some even support that there are curved relationships. Scholars have modelled different types of these relationships; however, none appear to provide a satisfactory explanation of the inconsistencies among the current findings. To bridge the gap, and based on the contingency theory, this study argues that there is no single best model of supply chains’ integration. Instead, it is the fitness between the supply chain integration model and the environmental factors that optimises the operational performance. Hypotheses were developed and tested to create a new conceptual model. In particular, the modelling process re-examines such relationship under the moderating effect of an external environmental factor –demand uncertainty. An empirical survey instrument has been designed and applied to gather data from a wide spectrum of aspects of the automotive industry in China. After testing for reliability and validity of the collected data, exploratory factor analysis, confirmatory factor analysis, hierarchical regression analysis and threshold regression analysis were applied as primary research methodologies to test the proposed research hypotheses. As a result, strong empirical evidence has been found to support most of the hypotheses, which leads to the findings that the relationship between supply chain integration and operational performance is non-linear, and the nature of this non-linearity can be significantly moderated by demand uncertainty. This study extends the current literature by contributing an analytical model that represents the relationship between supply chain integration and operational performance with respect to external environmental factors.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.720460  DOI: Not available
Keywords: HD Industries. Land use. Labor
Share: