The journals in the list below have been accepted for publication in Operations and Supply Chain Management: An International Journal. We are currently in the process of assigning each of these entries into our upcoming issue. Once published, you can access the corresponding article for free through our repository. Please feel free to contact us via Contact Us page or our email for any inquiries.
1. Stakeholder engagement and green process innovation: exploring the link and boundary conditions (228)
Author(s): Listowel Owusu Appiah (Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Ghana)
Abstract:
Despite the growing research on how stakeholder engagement influences green innovation, understanding of the specific firm-level conditions under which this relationship thrive has not received significant research attention. There is little known about the mechanism through which stakeholder engagement enhances green process innovation, particularly in resource-constrained contexts. This paper proposes and empirically evaluates a model that identifies absorptive capacity and risk-taking behaviour as underlying mechanisms and boundary conditions in the stakeholder engagement-green process innovation relationship. Using survey data from manufacturing firms in Ghana, the results show that absorptive capacity mediates the relationship between stakeholder engagement and green process innovation. Also, the relationship between stakeholder engagement and green process innovation is conditioned by organisational risk-taking behaviour. The implication of these findings for theory and practice is discussed in the text.
2. Determination of the Optimal Number of Forklifts in the Distribution Centre Using the Queuing Network Model
Author(s): Volodymyr Sysoiev (National Technical University, UKkaine),
Yuri Kushn?ruk (Ivan Kozhedub Kharkiv National Air Force University, Ukraine)
Abstract:
The functioning of modern distribution centers is impossible without the effective organization of the work of mobile material handling equipment, which is the main means of processing cargo flows in warehouses and directly affects the costs and time of warehouse operations. The article proposes the mathematical model for determining the optimal number of forklifts in the distribution center based on integer programming using the open queuing network model. The model reflects the peculiarities of the technological process of cargo handling in the distribution center and the participation of forklifts in it. Given the impossibility of using exact optimization methods because of the type of the objective function, the heuristic method is proposed for solving the problem, which allows for avoiding the complete enumeration of solutions and finding the optimal number of forklifts in a short time, considering different scenarios and operating modes of the distribution center. The advantage of this heuristic algorithm is its ability to determine the optimal number of service channels in high dimensional open queuing networks. The minimum of total service costs, which include operating costs for the maintenance of forklifts and cargo flow handling costs, were used as an optimization criterion. The model is an effective tool for decision making when equipping distribution centers with mobile material handling equipment.
3. Supply Chain Financing System Factors, Solutions and Benefits: A Systematic Literature Review
Author(s): Daud F. Adhim (School of Business and Management Institut Teknologi Bandung, Indonesia),
Nur B. Mulyono (School of Business and Management Institut Teknologi Bandung, Indonesia)
Abstract:
Supply Chain Finance (SCF) improves the business efficiency and effectiveness of suppliers, distributors, buyers, and financial institutions within supply chain collaboration. SCF implementation has risen to prominence worldwide, smoothing physical, product, and information flows within the supply chain as a means of maximizing profits. Due to a lack of research into SCF-related factors, solutions and benefits, this paper utilizes a systematic literature review methodology and content analysis to examine 56 papers drawn from major academic databases. The findings incorporate theoretical framework reviews which help to explain how SCF solutions can leverage enhanced supply chain (SC) performance by demonstrating the potential application of SCF to assist facilitators, reduce obstacles to sustained SC performance and develop an integrated conceptual framework illustrating how SCF accelerated overall supply chain performance.
4. Hierarchical Impact of Green Supply Chain Initiatives on Sustainable Performance: Food and Beverage Processing SMEs in Australia
Author(s): Adeline Benjamin (Victoria University, Australia),
Himanshu Shee (Victoria University, Australia),
Tharaka de Vass (Victoria University, Australia)
Abstract:
External pressure and green human resource management (GHRM) drive green initiatives but their synergistic effects on green supply chain initiatives (GSCIs) are yet to be explored. Moreover, results of three elements of the triple bottom line of sustainability show mixed relationship in the order they affect each other. Drawing on the natural resource-based view (NRBV) and institutional theory, this research empirically investigates a theoretical model by examining: first, the impact of GHRM practices and external pressures on GSCIs; second, the impact of GSCIs on environmental performance; and third, their hierarchical effect on social and economic performance. Cross-sectional survey data from 168 SMEs in the Food and Beverage sector in Australia were analysed using structural equation modeling. Results reveal that GHRM practices and external pressures have positive effects on GSCIs that in turn affects hierarchically on environmental, social and economic performance. Social dimensions, however, have no significant effect on economic performance. Meanwhile, GSCIs mediate the relationships between GHRM practices and external pressures and environmental performance. Implications are drawn.
5. Improving Lead Time Forecasting and anomaly detection for Automotive Spare Parts with a Combined CNN-LSTM Approach
Author(s): Asmae Amellal (Laboratory Of Modeling, Optimization Of Industrial And Logistics Systems MOSIL,ENSA TÉTOUAN, MOROCCO),
Issam Amellal (Laboratory Of Modeling, Optimization Of Industrial And Logistics Systems MOSIL,ENSA TÉTOUAN, MOROCCO),
Hamid Seghiouer (Laboratory Of Modeling, Optimization Of Industrial And Logistics Systems MOSIL,ENSA TÉTOUAN, MOROCCO),
Rida Ech-Charrat (Laboratory Of Modeling, Optimization Of Industrial And Logistics Systems MOSIL,ENSA TÉTOUAN, MOROCCO)
Abstract:
This paper presents a solution to a challenge faced in the supply chain management of a spare parts distributor with a dispersed global supply network and local distribution network in Morocco. The problem is a lack of accurate lead time information, leading to difficulties in meeting customer demand. The proposed solution is a framework using an LSTM (Long Short Term Memory) model for lead time forecasting and anomaly detection. The framework combines a CNN (Convolution neural network) -Bidirectional LSTM model for forecasting and an LSTM autoencoder with One-Class Support Vector Machine for anomaly detection. The data was obtained from a legal ERP system of a major automotive distributor in Morocco. The results show that the framework is effective in overcoming the lead time information issue, and the relevance of the methods used has been verified via precise performance indicators, such as the RMSE (Root of the mean of the square of the errors) testifying to the accuracy of the results and also through comparison with other models
6. Healthcare supply chain system challenges and mitigation measures: A systematic review of qualitative evidence
Author(s): Siti Norida Wahab (Faculty of Business and Management, Universiti Teknologi MARA, 42300 Bandar Puncak Alam, Selangor, Malaysia),
Nusrat Ahmed (Department of Community Medicine, City Medical College, Gazipur, 1702, Dhaka, Bangladesh),
Md. Uzir Hossain Uzir (Faculty of Business and Accountancy, Lincoln University College, Petaling Jaya, Malaysia)
Abstract:
This paper aims to examine the current challenges faced by Malaysian hospitals during the post-COVID-19 pandemic. This paper employs a subjective environmental scanning approach and a review of the current literature and outlines the challenges as well as proposed mitigation measures to address these concerns. Based on a review and analysis of the literature, the key challenges that the Malaysian healthcare system is struggling with include misinformation and disinformation, high hospital bed occupancy, ICU management crisis, acute shortage of healthcare professionals, treatment delays among non-COVID patients, personal protective equipment (PPE) shortage, occupational burnout, and mental health issues among healthcare professionals, blood supply management issues, challenges concerning treatment, and the challenges concerning vaccination. Several mitigation measures have been proposed as a solution. This research draws the attention of hospital management and policymakers to the issues they confront during the post-COVID-19 pandemic so that suitable solutions may be developed to address them. Findings and suggested mitigation measures can add considerable value to current academic work, and deepen knowledge along with the development of a successful healthcare supply chain system. This study is among a few of its kind that offers mitigation measures for diversifying the healthcare business by venturing into the supply chain system.
7. EcoMCS: A Project Management Application Through Management Control Systems for Residential Construction Firms in Colombia
Author(s): Milton Soto-Ferrari (Scott College of Business, Indiana State University, USA),
Odette Chams-Anturi (Universidad de la Costa, Colombia)
Abstract:
This research paper aims to introduce a novel project management application, denominated EcoMCS, based on Management Control Systems (MCS) assessment to improve the performance of residential construction firms in Colombia. The study is grounded in the conceptualization of project management and MCS and builds upon an interview study conducted with managers of residential construction firms in the country. Our findings revealed that the economic dimension is the least developed, indicating a need for improvement. The specific objectives of the project include enhancing the economic dimension of the MCS, refining evaluation methods for goal fulfillment, implementing incentive programs, fostering decentralized decision-making, and nurturing human potential within residential construction firms. By addressing these objectives, the proposed project management application seeks to facilitate efficient and effective project management practices in the residential construction industry, ultimately contributing to more sustainable and cost-effective construction projects.
8. Analysis of Implementation Barriers to Logistics Systems Integration for Omni-channel Retailing using an Integrated ISM-Fuzzy MICMAC Approach
Author(s): Ranjit Roy Ghatak (nternational Management Institute-Bhubaneswar,India)
Abstract:
Integrating logistics across channels is crucial to omni-channel (OC) retailing success. Implementing OC logistics in retail necessitates the integration of various sub-dimensions within the logistics domain while considering technical, managerial, behavioural, and infrastructure restrictions. Logistics integration is challenging in the OC retailing environment due to the unstructured approach. The purpose of this study is to identify and prioritise barriers to OC logistics in retail, as well as to provide a framework for managing their systematic elimination. A review of the literature and expert opinion revealed twenty-six impediments. Using Fuzzy Interpretative Structural Modelling (FISM), the researchers developed a hierarchical model of the barriers. Following that, a Fuzzy Matrice d’Impacts croises-multiplication applique (FMICMAC) analysis of the barriers helped determine the relative efficacy of the barriers in causing impediment. The study contributes to the growing body of knowledge on OC retailing by resolving the logistics integration issues that impede effective OC logistics implementation. The article fills a substantial void in the literature by developing a structured framework for comprehending and prioritising the logistical problems associated with OC logistics deployment. Modelling the OC logistical barriers' interrelation offers a better understanding of their relationship dynamics, hence easing their gradual eradication. The findings contribute to OC literature by examining the critical logistics resources required for establishing OC logistics, an area of OC retailing literature that has received disproportionate attention. The study contributes to the OC literature by identifying ‘soft’ resources that contribute to the development of logistics capabilities.