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Title: Unravelling halal food supply chain integrity : insights from Malaysia
Author: Ali, Mohd Helmi Bin
ISNI:       0000 0004 6351 4404
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2016
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This dissertation aimed to gain an understanding of halal food supply chain integrity (HFSCI) and the impact of the HFSCI on firm performance (FP). It sought to reveal HFSCI practices in order to provide insights into halal food integrity. This research investigated the practices that involved in managing halal food integrity in the supply chain. In addition, an empirical investigation was conducted to explore the effects of the supply chain integration (SCI) in the halal food industry in Malaysia. Employing mixed methods design, the research began with qualitative methodology phase (first phase) which involved systematic literature review and eight cases of in-depth interviews with halal food focal firms. The results of the interviews were used to form a comprehensive HFSCI framework. HFSCI was identified as a multidimensional concept represented by a system of four interrelated and complimentary dimensions, namely, raw materials integrity (RMI), production integrity (PI), service integrity (SEI), and information integrity (INFI). In addition, the research developed new scale measurement for HFSCI using 7-stage approach of Menor and Roth (2007). The scale was validated by using Q-sort methodology and survey which yielded 26 measurement items for HFSCI. The valid measurement scale was used as input in developing survey instrument for quantitative empirical testing. A valid sample of 254 respondents from the Malaysian halal food industries were collected in the quantitative methodology phase (second phase). Variance-based structural equation modelling adopting Partial Least Squares (PLS-SEM) statistical analysis was used to analyse survey data with the help of SmartPLS2.0.M3 software. Three models, namely, strategy-structure-performance (SSP), direct, and complementary, were tested. The research applied advanced techniques in SEM analysis that incorporated formative measurement, hierarchical component model (HCM), and two-stage approach. The results revealed that synergies between SCI and HFSCI in the SSP model, SCI impact to the FP in the direct model, and super-additive effect of HFSCI in the complementarity model. The final and third phase of the research was the application of theory. SSP paradigm, resource based-view (RBV), and complementarity theory were selected as the underpinning theories in this research.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available