Ai-Fen Lim, Voon-Hsien Lee, Keng-Boon Ooi, Pik-Yin Foo and Garry Wei-Han Tan
Soft total quality management (STQM) practices are essential for promoting value-added organizational citizenship behaviour (OCB) among employees in quality-focussed manufacturing…
Abstract
Purpose
Soft total quality management (STQM) practices are essential for promoting value-added organizational citizenship behaviour (OCB) among employees in quality-focussed manufacturing firms. This study intends to investigate how STQM practices (empowerment, training, teamwork and involvement) affect OCB under the moderating influence of collectivism among employees for excellence in business performance using social exchange and social cognitive theories (SET-SCT).
Design/methodology/approach
A total of 245 useable surveys were gathered from manufacturers. Given the importance of the two-staged structural equation modelling–partial least squares–artificial neural networks (SEM-PLS-ANN) technique, this study used a two-staged SEM-PLS-ANN analysis to capture both linear and compensatory PLS models and nonlinear and noncompensatory ANN models.
Findings
The findings confirmed that empowerment, involvement and training had a significant impact on OCB. However, teamwork had no impact on OCB. Interestingly, collectivism was found to have a significant and positive moderating effect on training and OCB.
Originality/value
The study contributes significantly to the literature on TQM and human resource management. First, the study broadens researchers’ understanding of how to apply SET by including a collective value from SCT as positive reciprocity to foster positive workplace behaviour. Second, the authors offer a solid management strategy for organizations to assist them in understanding an STQM model that promotes OCB while including collectivism for superior business performance.
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Ai-Fen Lim, Voon-Hsien Lee, Pik-Yin Foo, Keng-Boon Ooi and Garry Wei–Han Tan
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…
Abstract
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.
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Ai-Fen Lim, Keng-Boon Ooi, Voon-Hsien Lee and Garry Wei-Han Tan
Emerging competitive dynamics demand small and medium-sized enterprises (SMEs) to continuously comprehend and respond to changing market conditions by implementing effective soft…
Abstract
Purpose
Emerging competitive dynamics demand small and medium-sized enterprises (SMEs) to continuously comprehend and respond to changing market conditions by implementing effective soft total quality management (STQM) practices. Firstly, the study intends to identify the key STQM practices perceived to foster knowledge sharing (KS). Secondly, this study aims to investigate the impact of market turbulence (MT) on the interaction between STQM practices and KS among SMEs.
Design/methodology/approach
A total of 215 valid samples were analysed. Incorporating a two-hidden-layer deep artificial neural network (ANN) into SEM approaches allows for more in-depth testing and high prediction power. This study employs a two-stage PLS-SEM-ANN predictive-analytical technique to provide a more comprehensive analysis and significant statistical contribution.
Findings
The PLS-SEM-ANN analysis reveals that STQM practices including employee involvement (EI), employee training (ET), top management commitment (TMC) and employee teamwork (EM) are critical to boosting KS. MT, interestingly, moderates the relationship between EM and KS while negatively moderating the relationship between TMC and KS.
Originality/value
The study contributes to the knowledge-based view theory by demonstrating the importance of integrating STQM and KS among SMEs to thrive in today's dynamic market environment.
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Ai-Fen Lim, Keng-Boon Ooi, Garry Wei-Han Tan, Tat-Huei Cham, Mohammad A.A. Alryalat and Yogesh K. Dwivedi
The evolution of modern digitalization technologies necessitates the development of a competitive digital supply chain quality management (SCQM) strategy by manufacturers. Using…
Abstract
Purpose
The evolution of modern digitalization technologies necessitates the development of a competitive digital supply chain quality management (SCQM) strategy by manufacturers. Using the new institutions and institutional theory (IIT), the study research first aims to identify the most important SCQM practices that can influence competitive performance (CP). Second, the authors intend to investigate the role of digital strategy alignment (DSA) in moderating the relationship between the multidimensionality of SCQM practices and CP among manufacturers.
Design/methodology/approach
The authors employ the Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique to examine 225 valid samples from Malaysian manufacturers who use SCQM practices.
Findings
The study findings indicate that five of the twelve hypotheses developed were accepted. This suggests that supplier focus, strategic collaboration, information sharing and customer focus are positively and significantly correlated with CP. Unexpectedly, DSA moderates the relationship between leadership and CP.
Originality/value
This study extended the new IIT by empirically testing the six SCQM practices for CP in a DSA context, which can serve as a model for future research in the SCQM, CP and DS fields.
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Cong Gao, Kay-Hooi Keoy and Ai-Fen Lim
The purpose of this study is to investigate the primary determinants influencing the acceptance of generative artificial intelligence (GAI) adoption within Blockchain-enabled…
Abstract
Purpose
The purpose of this study is to investigate the primary determinants influencing the acceptance of generative artificial intelligence (GAI) adoption within Blockchain-enabled environments. Further research will examine the impact of GAI adoption on supply chain efficiency (SCE) through the enhancement of Blockchain.
Design/methodology/approach
Drawing on innovation diffusion theory (IDT), this study used partial least square structural equation modelling (PLS-SEM) to look into the hypotheses. The data were gathered via online questionnaires from employers of Chinese supply chain enterprises that have already integrated Blockchain.
Findings
The findings of this study demonstrate that relative advantages (RAs), compatibility, trialability and observability have a significant positive effect on GAI adoption, while complexity harms GAI adoption. Above all, the GAI adoption has significantly enhanced Blockchain, thus effectively improving SCE.
Practical implications
The outcomes from this study furnish enterprises and organizations with valuable insights to proficiently integrate GAI and Blockchain capability, optimize supply chain management and bolster market competitiveness. Also, this study will help accelerate the successful integration of business processes and attain Sustainability Development Goals 9, industrial growth and industrial diversification.
Originality/value
To the extent of the author’s knowledge, the current status of the GAI study remains largely exploratory, and there is limited empirical evidence on integrating Blockchain capability and GAI. This research bridges the knowledge gap by fully revealing the optimal integration of these two transformative technologies to leverage their potential advantages in supply chain management.