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Article
Publication date: 13 January 2025

Imene Guermazi, Aida Smaoui and Mohamed Chabchoub

This paper focuses on the commitment of a leading Middle Eastern country – Saudi Arabia – to the United Nations (UN) Sustainable Development Goals (SDGs), particularly SDG13…

Abstract

Purpose

This paper focuses on the commitment of a leading Middle Eastern country – Saudi Arabia – to the United Nations (UN) Sustainable Development Goals (SDGs), particularly SDG13, climate preservation. This paper aims to investigate the determinants of greenhouse gas emissions by examining their correlation with economic growth, population growth, renewable energies, forest area, digitalization and monetary policy.

Design/methodology/approach

This research observes greenhouse gas (GHG) emissions and the potential influencing factors during 1990–2023. It employs the autoregressive distributed lag model (ARDL) after testing the stationarity of the variables.

Findings

The findings show that population growth, gross domestic product (GDP) growth, percentage of individuals using the internet and forest rents are significant determinants of carbon oxide (CO2) emissions. Further, methane (CH4) emissions are significantly associated with population growth, GDP growth, percentage of individuals using the internet and renewable internal freshwater resources. Nitrous oxide (N2O) emissions depend significantly on the percentage of individuals using the internet and renewable internal freshwater resources.

Practical implications

This research helps policymakers in Saudi Arabia and worldwide identify the factors moderating GHG emissions, and accordingly design targeted interventions. These initiatives would substantially reduce GHG and further global climate goals. Additionally, focusing on Saudi Arabia, a significant emerging country in the Middle East, has broader implications. The findings offer insights that extend beyond its borders, providing valuable lessons for governments in the Middle East and worldwide to assess and improve their initiatives toward SDG13. Therefore, monitoring greenhouse gas emissions in this key country boosts global progress toward the UN’s 2030 Agenda for Sustainable Development. Furthermore, this paper aligns with the Principles for Responsible Management Education (PRME) by leveraging academic and managerial strategies toward sustainability and climate action initiatives.

Originality/value

This study adds to the limited literature on the determinants of GHG emissions in the Middle Eastern region, particularly in Saudi Arabia. In addition to CO2, it also focuses on CH4 and N2O emissions. It shows the beneficial effect of renewable internal freshwater resources. It uses the ARDL model to distinguish between the short- and long-run associations.

Details

Society and Business Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5680

Keywords

Content available
Article
Publication date: 8 November 2024

Marwa Ben Moallem, Ayoub Tighazoui, Remy Houssin, Mohamed Haykal Ammar, Diala Dhouib and Amadou Coulibaly

This paper treats the problem of scheduling seafaring staff inspired from a real case study, where the shipowner operates several vessel categories that require specific skills…

Abstract

Purpose

This paper treats the problem of scheduling seafaring staff inspired from a real case study, where the shipowner operates several vessel categories that require specific skills aiming to achieve a fair workload distribution and minimizing incompatibility between workers while meeting legal constraints, including requirements for days off and rest intervals between shifts.

Design/methodology/approach

A mixed integer linear problem (MILP) formulation has been built to address the seafaring staff scheduling problem by integrating multiple objectives and constraints. The model’s performance is tested through experimental results across varying parameter adjustments.

Findings

Our model was tested and validated using the XPRESS solver, and the results demonstrate its effectiveness in meeting the specified objectives and constraints. Notably, findings reveal that increasing the number of qualified workers leads to improved gains, until a certain threshold. Additionally, expanding the size of the workforce can result in longer execution times, specifically when incompatibility increases.

Originality/value

The originality of this study lies in proposing a generic novel model that deals with maritime staff scheduling, incorporating worker incompatibilities and workload fairness as key objectives.

Details

Maritime Business Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2397-3757

Keywords

Article
Publication date: 16 April 2024

Satyendra Kr Sharma, Rajkumar Sharma and Anil Jindal

Supply chain vulnerability (SCV) analysis is vital for manufacturers globally because it creates a pathway for building resilient supply chains in uncertain environments. This…

Abstract

Purpose

Supply chain vulnerability (SCV) analysis is vital for manufacturers globally because it creates a pathway for building resilient supply chains in uncertain environments. This study aims to identify drivers of SCV in the Indian manufacturing sector.

Design/methodology/approach

Sixteen drivers were identified from the literature review and followed by expert interviews. Interpretive structural modeling was used to determine the hierarchical structural relationship among identified SCV factors.

Findings

It was found that risk is not a board room agenda. Misaligned performance measures with incentives and lack of risk dashboard are the causal factors of SCV. Supply chain security, centralized production and distribution and lack of trust in the supply chain were driven factors.

Originality/value

This provides new insights to assess and prioritize initiatives for supply chain sustainability in terms of continuing business operations. The structural model provides a systemic view of SCV and helps reduce vulnerability.

Details

Journal of Modelling in Management, vol. 19 no. 5
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 8 March 2022

Ibrahim M. Hezam, Arunodaya Raj Mishra, R. Krishankumar, K.S. Ravichandran, Samarjit Kar and Dragan Stevan Pamucar

The study aims at evaluating the most appropriate transport project which is one of the critical concerns of transport infrastructure scheduling. This process will be applied…

Abstract

Purpose

The study aims at evaluating the most appropriate transport project which is one of the critical concerns of transport infrastructure scheduling. This process will be applied considering a set of criteria and discussed alternatives with sustainable perspectives.

Design/methodology/approach

In this paper, a complex proportional assessment (COPRAS) framework is discussed to handle the sustainable transport investment project (STIP) assessment problem within a single-valued neutrosophic set (SVNSs). To form the procedure more useful in handling with uncertain features, a SVNS is applied as a valuable procedure to handle uncertainty. First, a new discrimination measure for SVNSs is introduced and discussed some elegant properties to determine the significance degree or weight values of criteria with the sustainabality perspectives. Second, an integrated approach is introduced based on the discrimination measure and the COPRAS method on SVNSs and named as SVN-COPRAS.

Findings

A case study of an STIP evaluation problem is used to confirm the practicality and effectiveness of the SVN-COPRAS framework. Lastly, comparative discussion and sensitivity investigation are illustrated to prove the strength and solidity of the proposed framework.

Originality/value

The SVNSs enrich the essence of linguistic information when a decision expert (DE) vacillates among different linguistic values (LVs) to measure a sustainable transport project alternative problem. The utilization of SVNSs provides a more stable procedure to describe DEs' evaluations. So, an elegant methodology is developed to incorporate the DEs' awareness and experience for electing the desired STIPs. The introduced methodology has higher operability than the single-valued neutrosophic set technique for order preference by similarity to an ideal solution (SVN-TOPSIS) procedure during the larger numbers of attribute(s) or option(s). For the SVN-COPRAS methodology, there is no need to estimate the single-valued neutrosophic ideal solution (SVN-IS) and single-valued neutrosophic anti-ideal solution (SVNA-IS). The outcomes are calculated with handling the realistic data, which elucidates that the introduced model can tackle more intricate and realistic multi-criteria decision-making issues.

Article
Publication date: 8 June 2020

Ahmed Abideen and Fazeeda Binti Mohamad

Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire…

3355

Abstract

Purpose

Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire performance excellence and thrive in the global competitive market, many firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools and techniques to measure, quantify, analyze and validate them. The purpose of this study is to enable dynamic quantification and visualization of the future state of a warehouse supply chain value stream map using discrete event simulation (DES) technique.

Design/methodology/approach

This study aimed to apply an integrated approach of the value stream mapping (VSM) and DES in a Malaysian pharmaceutical production warehouse. The main focus is diverted towards reducing the warehouse supply chain lead time by initially constructing a supply chain value stream map (both present state and future state) and integrating its data in a DES modelling and simulation software to dynamically visualize the changes in future state value stream map.

Findings

The DES simulation was able to mimic the future state lead time reductions successfully, which assists in better decision-making. Improvements were seen related to total lead time, process time, value and non-value-added percentage. Warehouse performance metrics such as receiving, put away and storage rates were substantially improved along with pallet processing time, worker and forklift throughput usage percentage. Detailed findings are clearly stated at the end of this paper.

Research limitations/implications

This study is limited to the warehouse environment and further additional process models and functional upgrades in the DES software systems are very much needed to directly visualize and quantify all the possible Lean assumptions such as radio frequency image identification/Andon (Jidoka), 5S, Kanban, Just-In-Time and Heijunka. However, DES has a leading edge in extracting dynamic characteristics out of a static VSM timeline and capture details on discrete events precisely by picturizing facility modification and lead time related to it.

Practical implications

This paper includes all the fundamental pharmaceutical warehouse supply chain processes and the simulations of the future state VSM in a real-life context by successfully reducing supply chain lead time and allowing managers in inculcating near-optimal decision-making, controlling and coordinating warehouse supply chain activities as a whole.

Social implications

This integrated approach of DES and VSM can involve managers and top management to support the adoption of anticipated changes. This study also has the potential to engage practitioners, researchers and decision-makers in the warehouse industry.

Originality/value

This study involves a powerful DES software package that can mimic the real situation as a virtual simulation and all the data and model building are based on a real warehouse scenario in the pharmaceutical industry.

Article
Publication date: 5 November 2018

Iwan Vanany, Ghoffar Albab Maarif and Jan Mei Soon

Halal food market has grown significantly over the years. As consumers are becoming more aware of the significance of halal food products and certification, food industries will…

1339

Abstract

Purpose

Halal food market has grown significantly over the years. As consumers are becoming more aware of the significance of halal food products and certification, food industries will benefit from a model that controls and assures halal food production. Quality function deployment (QFD) is a tool to support product design and improve food quality systems. Thus, the purpose of this study is to propose a multi-phased QFD model to identify key processes and prioritise programmes to improve halal food production.

Design/methodology/approach

The matrix in the first phase was designed using the halal assurance system (HAS) requirements and the set of production process. The relationships between HAS requirements and a set of halal critical factors [i.e. raw material (chicken), workers, procedures and documentation, equipment and premises] were established in the second phase. In the final phase, potential problems and improvement programmes arising under each critical halal phase were identified. The QFD model was developed and applied in a chicken processing plant in Indonesia.

Findings

In Matrix 1, slaughtering, meat processing and meat delivery were identified as the key process, whilst equipment, procedures and documentation and workers were determined as the most critical halal factors in Matrix 2. The final phase of the QFD approach assisted the chicken processing plant in reducing potential issues by identifying key improvement programmes. The prioritisation of improvement programmes also supports the company in decision-making and allocating their resources accordingly.

Practical implications

The multi-phased QFD model can be designed and adapted to specific food industry. It can be used to assure halal food production and inform food industry which area to prioritise and to allocate resources accordingly. The improvement of halal food production will assist food companies to target and access international markets.

Originality/value

This study proposed a new multi-phased QFD model that can be used as a halal food assurance and prioritisation tool by the food industry. This model will benefit food industry intending to implement halal assurance scheme in their process, halal auditors and policymakers.

Details

Journal of Islamic Marketing, vol. 10 no. 1
Type: Research Article
ISSN: 1759-0833

Keywords

Article
Publication date: 13 September 2024

Ayman Bahjat Abdallah, Bara' Omar Al Bourini and Hussam Mohd Al-Shorman

The present study investigates the impact of supply chain disruption orientation (SCDO) on four supply chain disruption (SCD) mitigation strategies: supply chain integration…

Abstract

Purpose

The present study investigates the impact of supply chain disruption orientation (SCDO) on four supply chain disruption (SCD) mitigation strategies: supply chain integration (SCI), supply chain agility (SCA), supply chain visibility (SCV) and supply chain redundancy (SCR). It also examines the impact of the four mitigation strategies on SCD. The impact of the latter on business performance (BP) is also explored.

Design/methodology/approach

This study employs an empirical approach through survey research methodology. It analyzes data collected from 304 managers from pharmaceutical distribution companies in Jordan. Appropriate validity and reliability tests were employed for the study constructs. Path analysis using AMOS software was performed to test the study hypotheses.

Findings

SCDO was found to positively affect all SCD mitigation strategies. Furthermore, among the four mitigation strategies examined, SCV exhibited the highest significant impact in reducing SCD, followed by SCA and then SCR. However, the results revealed that SCI did not significantly impact SCD. Additionally, SCD proved to be negatively and significantly related to BP.

Originality/value

The present study fills a gap in the literature regarding the management of SCDs in pharmaceutical supply chains (SCs) generally and SCs of pharmaceutical distribution companies specifically. It also addresses an under-investigated area in the literature concerning the role of SCDO in promoting the adoption of SCD mitigation strategies.

Details

Business Process Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 24 November 2020

Pedro Senna, Augusto Reis, Igor Leão Santos, Ana Claudia Dias and Ormeu Coelho

This paper aims to present a systematic literature review (SLR) to investigate how supply chain risk management (SCRM) is applied to the healthcare supply chains and which…

3363

Abstract

Purpose

This paper aims to present a systematic literature review (SLR) to investigate how supply chain risk management (SCRM) is applied to the healthcare supply chains and which improvement opportunities are being missed in this segment.

Design/methodology/approach

This SLR used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to answer three research questions: (1) Which are the main gaps concerning healthcare supply chain risk management (HCSCRM)? (2) What is the definition of HCSCRM? and (3) What are the risk management techniques and approaches used in healthcare supply chains?

Findings

The authors present a complete summary of the HCSCRM body of research, investigating research strings like clinical engineering and high reliability organizations (HROs) and its relations with HCSCRM; (1) This research revealed the five pillars of HCSCRM; (2) The authors proposed a formal definition for HCSCRM considering all the literature blocks explored and (3) The authors generated a list of risks present in healthcare supply chains resulting from extensive article research.

Research limitations/implications

The authors only reviewed international journal articles (published in the English language), excluding conference papers, dissertations and theses, textbooks, book chapters, unpublished articles and notes. In addition, the study did not thoroughly investigate specific countries' particularities concerning how the healthcare providers are organized.

Originality/value

The contribution of this article is threefold: (1) To the best of authors knowledge, there is no other SLR about HCSCRM published in the scientific literature by the time of realization of authors’ work, suggesting that is the first effort to fulfill this research gap; (2) Following the previous contribution, in this work the authors propose a first formal definition for HCSCRM and (3) The authors analyzed concepts such as clinical engineering and HROs to establish the building blocks of HCSCRM.

Details

Benchmarking: An International Journal, vol. 28 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

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