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Article
Publication date: 12 February 2025

Md Shah Newaz, Mina Hemmati, Muhammad Khalilur Rahman, Andrea Appolloni, Suhaiza Zailani, Flavio Pinheiro Martins and Amilton Barbosa Botelho Junior

The purpose of this study is to investigate how Industry 4.0 (IR 4.0) operates within the context of the post-COVID-19 environment and its impact on the economic, environmental…

13

Abstract

Purpose

The purpose of this study is to investigate how Industry 4.0 (IR 4.0) operates within the context of the post-COVID-19 environment and its impact on the economic, environmental and social sustainability of the manufacturing industry in a developing economy. By delving into this subject, the authors aim to understand the mechanisms through which IR 4.0 influences various facets of sustainability within the manufacturing sector.

Design/methodology/approach

A cross-sectional research design is used using purposive sampling and hypotheses were developed based on seminal theories and literature. Data was collected from 191 Malaysian manufacturing firms that use IR 4.0 technologies. The partial least squares structural equation modeling technique was used to explore how post-COVID uncertainty environment impacts manufacturing sustainability through IR 4.0 adoption.

Findings

During the highly uncertain era of the post-COVID-19 pandemic, the implementation of IR 4.0 adoption has had a favorable effect on the manufacturing industry, enhancing process efficiency, automation and data granularity. However, it is worth noting that automation does not significantly contribute to environmental sustainability and data granularity does not have a noteworthy impact on economic sustainability. On the other hand, process efficiency has a positive and significant influence on all three dimensions of sustainability. Moreover, data granularity positively affects environmental sustainability, whereas automation positively impacts both social and economic sustainability.

Research limitations/implications

This study emphasizes the importance of policy interventions to harness the transformative power of IR 4.0 and address the identified concerns. In addition, the findings offer valuable insights for mid-level operational managers, enabling them to actively participate in the creation of sustainable policies in partnership with top management. It is expected that these actions, which involve making necessary adjustments in the manufacturing process, will yield tangible outcomes for sustainable development.

Originality/value

This study offers valuable insights into the relationship between the uncertain post-COVID-19 environment, referred to as hyper-uncertainty and the adoption of IR 4.0 in the context of manufacturing sustainability.

Details

foresight, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-6689

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Article
Publication date: 6 May 2020

Md. Shah Newaz, Mina Hemmati, Muhammad Khalilur Rahman and Suhaiza Zailani

This study aims to investigate how the employees' attributes, capabilities, behavioral control and behavioral intentions affect their intention to become a supply chain manager…

484

Abstract

Purpose

This study aims to investigate how the employees' attributes, capabilities, behavioral control and behavioral intentions affect their intention to become a supply chain manager (SCM). The study also investigates how employees' capabilities mediate the relationship between attributes and intention to become SCM.

Design/methodology/approach

The purposive sampling frame is employed to collect the data, and multiple statistical tools and techniques are used for analyzing the data.

Findings

The findings reveal that attributes are the most crucial factor for the capabilities of employees to become successful SCM. Employees' behavioral intention and capabilities have a significant impact on intention, whereas perceived behavioral control has a significant negative impact on it. Also, the result finds that capabilities partially mediate the relationship between attributes and intention to become an SCM.

Research limitations/implications

The study extends the application of employees' intention to become a supply chain manager. The idea collected is based on Malaysia; thus, further study should be extended to assess the impact of employees' attributes, capabilities and behavioral control to become SCM as well as economic performance in other countries.

Originality/value

To the best of the authors' knowledge, this is the first empirical analysis on the relationship between employees' attributes, capabilities, behavioral control and intention to become SCM in the context of Malaysia. The findings will help the top management to select the right people as SCM and improve their attributes, capabilities and behavior so that they become an effective SCM.

Details

Journal of Advances in Management Research, vol. 17 no. 4
Type: Research Article
ISSN: 0972-7981

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Article
Publication date: 1 February 2021

Muhammad Khalilur Rahman, Md Shah Newaz, Mina Hemmati and S M Yusuf Mallick

The purpose of this study is to explore the private general practice (GP) clinics' service environment, patients' satisfaction and their impact on word of mouth (WoM) for others…

372

Abstract

Purpose

The purpose of this study is to explore the private general practice (GP) clinics' service environment, patients' satisfaction and their impact on word of mouth (WoM) for others for future treatment in GP clinics.

Design/methodology/approach

Data are collected from 367 respondents using a paper-based survey questionnaire. Partial least square (PLS) is used to evaluate the proposed model and hypotheses relationships.

Findings

The findings reveal that ambience and service delivery have a high significant influence on patients' emotional satisfaction (β = 0.27, t = 4.31, p = 0.00) and (β = 0.26, t = 4.81, p = 0.00), respectively, while interior décor has a positive and significant influence on satisfaction (β = 0.13, t = 1.98, p = 0.04). The results indicate that exterior design and cleanliness are not associated with satisfaction. Patients' emotional satisfaction is highly related to WoM (β = 0.55, t = 13.44, p = 0.00). The results also show that emotional satisfaction has a significant mediating effect on the relationship between clinic service environments (ambience, interior décor, service delivery) and WoM (β = 0.15, t = 3.94, p = 0.00), (β = 0.073, t = 3.94, p = 0.04), (β = 0. 0.143, t = 4.13, p = 0.00), respectively.

Originality/value

The study will provide insights regarding Malaysian health consumers' perceptions toward GP clinics' service environment, whether they remain utilitarian or have evolved to entail hedonic appreciations. The contribution to the service environment could be adopted by future health-care studies, particularly those intended to examine GP clinics and other clinic-based institutions.

Details

Health Education, vol. 121 no. 3
Type: Research Article
ISSN: 0965-4283

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Article
Publication date: 27 December 2022

Mina Hemmati, Md Shah Newaz, Muhammad Khalilur Rahman, Andrea Appolloni and Suhaiza Zailani

The study aims to identify the extent to which industry 4.0 (IR4.0) adoption impacts the sustainable manufacturing (SM) performance of the manufacturing industry, focusing on the…

460

Abstract

Purpose

The study aims to identify the extent to which industry 4.0 (IR4.0) adoption impacts the sustainable manufacturing (SM) performance of the manufacturing industry, focusing on the comparative analysis between developed and developing economies amid coronavirus disease 2019 (COVID-19) pandemic.

Design/methodology/approach

The study proposes a conceptual model formed on seminal theories and literature using the cross-sectional design. For data collection, a purposive sampling method is used where 154 Malaysian (developing) and Australian (developed) manufacturing firms' data were collected. Partial least square-based structural equation modeling is employed to test the hypothesis and proposed research model.

Findings

This study finds that adoption of IR4.0 technologies does not directly influence the sustainability performance of the manufacturing industry, but rather the trajectories of SM (efficiency, flexibility, automation and big data and granularity) fully mediate the relationship between IR4.0 adoption and sustainability manufacturing performance. The comparative analysis between Australia and Malaysia shows no significant difference in the relationships or the framework; hence, the differences between developed and developing countries are not significant in this mechanism.

Originality/value

The study contributes to the insights of the managers regarding COVID-19 and the implementation of IR4.0 in the SM domain. The policymakers would further get better insights since the study pays attention to sustainable development goal, industry, innovation, infrastructure and responsible production.

Details

International Journal of Emerging Markets, vol. 19 no. 10
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 8 February 2022

Hassan Ali, Jingwen Zhang, Sheng Liu and Muhammad Shoaib

Due to the fierce market competition, many organizations seek global suppliers because of lower procurement costs and better product quality. However, selecting suitable global…

557

Abstract

Purpose

Due to the fierce market competition, many organizations seek global suppliers because of lower procurement costs and better product quality. However, selecting suitable global suppliers is one of the complicated decision-making tasks for decision-makers due to the involvement of various qualitative and quantitative factors. The primary purpose of this research is to design an integrated approach for global supplier selection and order allocation in the context of developing an environment-friendly supply chain under data uncertainty.

Design/methodology/approach

Initially, the fuzzy analytical hierarchy process (FAHP) is used to calculate the selected criteria weights. After that, the weights obtained from FAHP are inserted into the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) to examine the performance of selected suppliers and determine their final ranks. Finally, the obtained results from FTOPSIS are incorporated into the multi-choice goal programming (MCGP) model, which involves multi-aspiration levels to allocate the optimal order quantity to the selected global suppliers.

Findings

A real-time case study of the automotive industry is presented to demonstrate the efficiency and practicality of the suggested approach. The case study and sensitivity analysis results show that the proposed model effectively tackles suppliers' evaluation and order allocation data uncertainty.

Originality/value

Incorporation of risks, environmental management and economic factors during global supplier selection in the automotive sector has not been given much attention in the past literature. So, this research aims to fulfill the gap by developing an integrated approach that can tackle data uncertainty effectively.

Details

Kybernetes, vol. 52 no. 8
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 15 January 2025

Ali Heidari, Mohammad Khalilzadeh, Dragan Pamucar and Fatih Ecer

The purpose of this study was to address waste management in the food supply chain (FSC) through the integration of inspection processes in production and distribution centers…

36

Abstract

Purpose

The purpose of this study was to address waste management in the food supply chain (FSC) through the integration of inspection processes in production and distribution centers under uncertain conditions, aiming to enhance sustainability across environmental, economic and social dimensions. The study introduces a sustainable forward and reverse FSC network using a closed-loop supply chain network approach to prevent the transfer of spoiled products, ultimately providing competitive advantages to stakeholders.

Design/methodology/approach

A robust multi-objective mathematical programming model is proposed, incorporating inspection processes to manage perishable products effectively. The model is solved using the Augmented Epsilon Constraint technique implemented in GAMS software, providing Pareto-optimal solutions tailored to decision-makers’ preferences. Furthermore, the methodology is applied in a real-world case study and solved with the Benders Decomposition algorithm to validate its practicality and effectiveness.

Findings

The proposed methodology effectively minimizes waste and enhances sustainability in the FSC by optimizing decision-making processes under uncertainty. The illustrative examples and real case study demonstrate the efficiency of the model and solution approach, highlighting the significant role of inspection in improving all three dimensions of sustainability.

Practical implications

The study offers valuable insights into and tools for food industry managers to make informed strategic and tactical decisions. By addressing waste management through advanced supply chain modeling, the research helps organizations reduce costs, improve sustainability and gain a competitive edge in the market.

Originality/value

This research is novel in its focus on integrating inspection into the FSC network and addressing uncertainty through robust mathematical modeling. It contributes to the existing literature by demonstrating the impact of inspection on sustainability in FSCs and providing practical solutions for real-world implementation.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 24 January 2025

Abderrahmen Bouchenine and Ismail Almaraj

This study introduces a multi-vaccine multi-echelon supply chain (MVMS) framework designed to ensure sustainable vaccine distribution during outbreaks. The framework aims to…

15

Abstract

Purpose

This study introduces a multi-vaccine multi-echelon supply chain (MVMS) framework designed to ensure sustainable vaccine distribution during outbreaks. The framework aims to minimize the total costs of vaccine distribution and reduce greenhouse gas (GHG) emissions to mitigate environmental impacts while maximizing job opportunities within the network.

Design/methodology/approach

Our proposed appraoch employs a multi-objective mixed-integer linear programming model.

Findings

The findings indicate that incorporating uncertainties related to demand and inspection errors significantly facilitates timely responses to unexpected shortages, fulfills the requirements of healthcare facilities, and enhances the supply chain’s resilience against future uncertainties. This study also explores managerial implications and suggests avenues for future research to further advance this field.

Originality/value

Existing literature on MVMS often relies on simplifying assumptions of perfect vaccines and primarily focuses on demand uncertainty. However, real-world supply chains are typically marked by imperfections, disruptions, and a variety of uncertainties beyond demand. In this work, we address several sources of parameter uncertainty, including demand variability, inspection errors, vaccine waste, and defective treatments rates to enhance the robustness of our model.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 14 November 2023

Libiao Bai, Mengqin Yang, Tong Pan and Yichen Sun

Selecting and scheduling optimal project portfolio simultaneously is a complex decision-making problem faced by organizations to realize the strategy. However, dynamic synergy…

158

Abstract

Purpose

Selecting and scheduling optimal project portfolio simultaneously is a complex decision-making problem faced by organizations to realize the strategy. However, dynamic synergy relationships among projects complicate this problem. This study aims at constructing a project portfolio selection and scheduling (PPSS) model while quantifying the dynamic synergetic effects to provide decision support for managing PPSS problems.

Design/methodology/approach

This study develops a mathematical model for PPSS with the objective of maximal project portfolio benefits (PPBs). To make the results align with the strategy, comprehensive PPBs are divided into financial and non-financial aspects based on the balanced scorecard. Then, synergy benefits evolve dynamically in the time horizon, and system dynamics is employed to quantify them. Lastly, a case example is conducted to verify the applicability of the proposed model.

Findings

The proposed model is an applicable model for PPSS while incorporating dynamic synergy. It can help project managers obtain the results that which project should be selected and when it should start while achieving optimal PPBs.

Originality/value

This study complements prior PPSS research in two aspects. First, financial and non-financial PPBs are designed as new criteria for PPSS, making the results follow the strategy. Second, this study illuminates the dynamic characteristic of synergy and quantifies the synergetic effect. The proposed model provides insights into managing a PPSS effectively.

Details

Kybernetes, vol. 54 no. 2
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 12 September 2023

Kemal Subulan and Adil Baykasoğlu

The purpose of this study is to develop a holistic optimization model for an integrated sustainable fleet planning and closed-loop supply chain (CLSC) network design problem under…

392

Abstract

Purpose

The purpose of this study is to develop a holistic optimization model for an integrated sustainable fleet planning and closed-loop supply chain (CLSC) network design problem under uncertainty.

Design/methodology/approach

A novel mixed-integer programming model that is able to consider interactions between vehicle fleet planning and CLSC network design problems is first developed. Uncertainties of the product demand and return fractions of the end-of-life products are handled by a chance-constrained stochastic program. Several Pareto optimal solutions are generated for the conflicting sustainability objectives via compromise and fuzzy goal programming (FGP) approaches.

Findings

The proposed model is tested on a real-life lead/acid battery recovery system. By using the proposed model, sustainable fleet plans that provide a smaller fleet size, fewer empty vehicle repositions, minimal CO2 emissions, maximal vehicle safety ratings and minimal injury/illness incidence rate of transport accidents are generated. Furthermore, an environmentally and socially conscious CLSC network with maximal job creation in the less developed regions, minimal lost days resulting from the work's damages during manufacturing/recycling operations and maximal collection/recovery of end-of-life products is also designed.

Originality/value

Unlike the classical network design models, vehicle fleet planning decisions such as fleet sizing/composition, fleet assignment, vehicle inventory control, empty repositioning, etc. are also considered while designing a sustainable CLSC network. In addition to sustainability indicators in the network design, sustainability factors in fleet management are also handled. To the best of the authors' knowledge, there is no similar paper in the literature that proposes such a holistic optimization model for integrated sustainable fleet planning and CLSC network design.

Available. Open Access. Open Access

Abstract

Details

Journal of Intelligent Manufacturing and Special Equipment, vol. 4 no. 1
Type: Research Article
ISSN: 2633-6596

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