Displaying all 3 publications

Abstract:
Sort:
  1. Jayashree S, Reza MNH, Malarvizhi CAN, Mohiuddin M
    Heliyon, 2021 Aug;7(8):e07753.
    PMID: 34430741 DOI: 10.1016/j.heliyon.2021.e07753
    Background: The current level of industrialization has generated many challenges worldwide, including ecological hazards, climate change, and the overuse of non-renewable natural resources, thereby creating an increasing demand for achieving the goal of the Triple Bottom Line (TBL). In this regard, Industry 4.0 can be used as a crunch point to contribute to the production process that can help achieve sustainable development.

    Purpose: While the Malaysian government proposed the "Industry4ward" approach to enhance technological adoption, there is scarce empirical evidence in the literature that validates SMEs for Industry 4.0. Using Dynamic Capability View (DCV), this study proposes a framework that includes core determinants like top management commitment, supply chain integration, and IT infrastructure, that can significantly influence Industry 4.0 implementation toward achieving TBL sustainability.

    Design/methodology/approach: Employing simple random sampling, the study adopted a quantitative approach based on 199 useable respondent's feedback collected through a survey questionnaire of 900 employees from Malaysian SMEs. The statistical analysis was performed using Structural Equation Modeling (Partial Least Square, SmartPLS 3.3.2).

    Findings: The results show that top management and IT infrastructure significantly impact Industry 4.0 implementation and sustainability. In contrast, the analysis also demonstrates that supply chain integration is insignificant to Industry 4.0 implementation in SMEs. The findings also indicate that the relationship between the determinants of Industry 4.0 and TBL sustainability can be mediated by the "effective implementation" of Industry 4.0.

    Recommendations: The study highlights the practical consequences of the role and use of the determinants in Industry 4.0 implementation. Its findings help managers and policy-makers to optimize value creation to achieve sustainable development goals.

    Limitations and future research: Focusing only on Malaysian manufacturing SMEs may restrict the generalization of the study; thus, a benchmarking analysis from other industrial settings is encouraged. The questionnaire-based survey is a further limitation of the study.

  2. Yang M, Reza MNH, Yang Q, Al Mamun A, Hayat N
    Heliyon, 2024 Jan 30;10(2):e24273.
    PMID: 38293529 DOI: 10.1016/j.heliyon.2024.e24273
    The rising demand for plant-based meat (PBM) has the potential to minimize environmental degradation and save the lives of numerous animals. Furthermore, the intention to consume eco-friendly products triggers people to consume PBM. However, it is essential to understand the factors that influence consumer intentions and actual PBM consumption to enhance its adoption. By incorporating the Theory of Consumption Value, this study examines the impact of health consciousness, health motivation, personal innovativeness, perceived critical mass, perceived cost, and perceived product value on the intention to consume PBM. The impact of intention to consume PBM on actual consumption is also analyzed. Furthermore, the mediating role of the intention to consume PBM in the relationship between these factors and actual consumption behavior is investigated. Using a cross-sectional research design, 978 responses were obtained from Indonesia. The data were analyzed using partial least squares structural equation modelling (PLS-SEM). The results showed that health motivation, perceived critical mass perceived cost, and perceived product value were significant predictors of the intention to consume PBM. However, health motivation and personal innovation had insignificant effects on the intention to consume PBM. Moreover, the intention to consume PBM translated into actual consumption behavior. Furthermore, the intention to consume PBM significantly mediated the relationship between actual consumption behavior and factors other than health motivation, personal innovation, and perceived product value. The findings offer valuable insights for industry, policymakers, and producers interested in PBMA markets in developing focused marketing strategies, improving consumer perceptions, and addressing barriers, such as perceived costs to promote PBM consumption, particularly in emerging markets. Integrating the theory of consumption value and PLS-SEM provides a comprehensive understanding of the underlying dynamics and sheds light on the unique factors driving PBM consumption behavior.
  3. Ahmad J, Al Mamun A, Reza MNH, Makhbul ZKM, Ali KAM
    Environ Sci Pollut Res Int, 2023 Aug;30(37):87938-87957.
    PMID: 37432578 DOI: 10.1007/s11356-023-28624-4
    This study investigates the effect of green human resource management practices on green competitive advantage and the mediating role of competitive advantage between the green human resource management practices and green ambidexterity. This study also examined the effect of green competitive advantage on green ambidexterity and the moderating effect of firm size on green competitive advantage and ambidexterity. The results reveal that green recruitment and green training and involvement are not sufficient, but they are necessary for any outcome level of green competitive advantage. The other three constructs (green performance management and compensation, green intellectual capital, and green transformational leadership) are sufficient and necessary; however, green performance management and compensation is necessary only at an outcome level of more than or equal to 60%. The findings revealed that the mediating effect of green competitive advantage is significant only between three constructs (green performance management and compensation, green intellectual capital, and green transformational leadership) and green ambidexterity. The results also indicate that a green competitive advantage has a significant positive effect on green ambidexterity. Exploring the necessary and sufficient factors using a combination of partial least squares structural equation modeling and necessary condition analysis provides valuable guidance for practitioners to optimize firm outcomes.
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links