Purpose
In today’s globalized and heavily industrialized economy, sustainability issues that negatively affect the human population and external environment are on the rise. This study aims to investigate a synergistic combination of supply chain management and quality management practices in strengthening the sustainability performance of Malaysian manufacturing firms.
Design/methodology/approach
A total sample of 177 usable surveys was collected. Given the contributions and acceptability of the artificial neural network (ANN) approach in evaluating the findings of this study, this study uses ANN to measure the relationship between each predictor (i.e. supply chain integration [SCI], quality leadership [QL], supplier focus [SF], customer focus (CF) and information sharing [IS]) and the dependent variable (i.e. sustainability performance). Via sensitivity analysis, the relative significance of each predictor variable is ranked based on the normalized importance value.
Findings
The sensitivity analysis indicates that CF has the greatest effect on sustainability performance (SP) with 100% normalized relative importance, followed by QL (75%), IS (61.5%), SF (57.3%) and SCI (46.7%).
Originality/value
The findings of this study have the potential to provide valuable guidance and insights that can help all manufacturing firms enhance their SP from the optimum combination of the selected SCQM practices with a focus on sustainability.
This study aims to empirically evaluate the predictors that influence sustainability performance among manufacturing firms. Leadership and management, green and lean practices, and guanxi were examined to determine whether these predictors are directly and/or indirectly affecting sustainability performance; 160 valid responses were collected and partial‐least‐squares‐structural‐equation‐modeling (PLS‐SEM) was used to analyze the data. The results showed that leadership and management positively influenced green and lean practices and green and lean practices positively influenced sustainability performance. Leadership and management also positively influenced guanxi. Interestingly, leadership and management and guanxi do not exert a significant direct influence on sustainability performance. The findings contributed to the development of the resource‐based‐view theory further by empirically exploring the significance of leadership and management coupled with green and lean practices as competencies and capability to drive sustainability performance. The testing of the dual mediators' effects further added value to this study.
PurposeThis research aims to examine the relationships between supply chain quality management (SCQM), organizational learning capability (OLC) and product innovation performance (PIP) among small and medium-sized manufacturing enterprises (SMMEs) in Malaysia.Design/methodology/approachThis is a quantitative study in which 163 valid responses were empirically collected from SMMEs in Malaysia via self-administered structured questionnaires.FindingsPerforming a partial least squares–structural equation modelling analysis, the findings revealed that the relationships between SCQM, OLC and PIP are positive and significant. Moreover, OLC partially mediates the relationship between SCQM and product innovation. Serving as a practical guideline, the results of this study stress the fact that managers of SMMEs need to look into the role-specific context of the firm before determining which practices would be effective for their companies.Originality/valueThe value-added additional testing of the mediating effect of OLC is the highlight of this study. This research represents another leap towards redefining and advancing SCQM, especially for SMMEs in the Asian context.
The primary objective of this research is to identify the main factors affecting the intention to use mobile shopping in Malaysia. The theoretical base of this study was based on the mobile technology acceptance model (MTAM) as well as other theories such as diffusion of innovation (DOI). Data collection for this study spanned from May 2018 to September 2018. The survey was done via the distribution of questionnaires in selected local shopping malls. A total of 300 usable responses were collected for further analysis using the partial least square structural equation modelling (PLS-SEM) approach. The findings identified that mobile ease of use (MEU) and mobile usefulness (MU) influenced an individual's intention to use (IU) significantly while perceived playfulness (PP) is not a significant predictor. In addition, reachability (R) also influenced MEU and MU significantly whereas mobility (M) has no significant influence on both MEU and MU. Empirical findings from this study contribute by providing useful and practical insights to the academics, mobile technologies developers and the general public.
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