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. A HYBRID CLUSTERING MODEL TO SOLVE THE PROBLEM OF LOCATING MICRO-HUBS FOR NEWSPAPER DISTRIBUTION Author(s):
Karla Alvarez-Uribe (Deakin University, Geelong, VIC, 3217, Australia),
Eduard Gañan-Cardenas (Instituto Tecnológico Metropolitano, Medellín, Colombia),
Diego Perez-Montoya (Instituto Tecnológico Metropolitano, Medellín, Colombia)
Facility location is one of the most critical factors in urban logistics planning, and the newspaper industry is no exception. Given the time-sensitive nature of newspapers and their narrow delivery time windows, efficient distribution network planning becomes essential. This research addresses the micro-hub location problem within the context of newspaper distribution across the Área Metropolitana del Valle de Aburrá in Medellin, Colombia, by developing a novel hybrid clustering strategy. We compare five clustering techniques: K-means, K-medians, K-medoids, Agglomerative Nesting (AGNES), and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Our strategy first uses AGNES (with single-linkage) to identify high-density regions and subsequently applies K-medoids within these identified areas to form compact clusters. Results demonstrated the superiority of the hybrid clustering strategy over both K-means and the individual clustering techniques. The hybrid approach generates more cohesive clusters, as evidenced by superior silhouette coefficients and within-cluster variance. The clustering proposal allowed 90% of customers to be located within 1.6 kilometers of a micro-hub, improving the distribution of newspapers in the urban areas.
2. Key directions for transforming supply chain management in emerging markets during the post-COVID-19 pandemic period Author(s):
Nail Israfilov (Department of Economics, University by MPA EAES, Galerny proezd, 3, Saint Petersburg 199226, Russian Federation),
Varvara Druzyanova (Department of Operation of Road Transport and Car Service, North-Eastern Federal University, 58 Belinsky str., Yakutsk 677000, Russian Federation),
Marina Ermakova (Department of Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Leningradskiy prospect, 49, Moscow 125167, Russian Federatio),
Anastasiya Sinitsyna (Department of Pharmacy, Sechenov First Moscow State Medical University, 8-2, Trubetskaya Str., Moscow, 119991, Russian Federation)
This research aimed to identify the main directions for transforming supply chains in emerging markets to enable timely managerial responses to the challenges and opportunities during the post-COVID-19 pandemic period. The analysis of theoretical sources resulted in the formulation of the following research hypotheses: (H1) Sustainable development of supply chains in emerging markets during the post-COVID-19 pandemic period can be achieved through the digital transformation of supply chains; (H2) The most promising direction for transforming supply chain management in emerging markets during the post-COVID-19 pandemic period is ensuring digital readiness of supply chains. The research employs a quantitative approach, and its methodological design is based on this approach. Primary data for the study was collected through a structured online survey using Google Forms as the survey tool. During the analysis of the primary data, a combination of general scientific and specialized methods of cognition was applied, including econometric and economic-statistical methods, as well as a graphical representation of data. The developed methodology was validated through its application to the case of BRICS countries. The results of the validation allowed us to establish that the primary direction for the transformation of supply chains during the post-COVID-19 pandemic period should be considered digital transformation. The findings of this research may be of interest to supply chain management professionals in emerging markets and also hold relevance for academic researchers, particularly in terms of identifying promising directions for future investigations.
3. Blockchain Technology for Global Supply Chain Management: A Survey of Applications, Challenges, Opportunities & Implications Author(s):
Patrick Dudczyk (Southern Illinois University, Carbondale, IL, USA),
Julie Dunston (Southern Illinois University, Carbondale, IL, USA),
Yanling Chang (Texas A&M University, College Station, TX, USA),
Garth V. Crosby (Texas A&M University, College Station, TX, USA)
Supply chain management depends on a complex, interconnected network of suppliers, manufacturers, transportation companies, distributors and customers with the goal of predicting, monitoring and controlling operations and processes. Globalization has introduced fierce competition, forcing supply chains to innovate and enhance their performance and capabilities. Centralized management systems are prone to attacks, disruptions and malfunctions. A potential solution to these known issues is the adoption of blockchain technology. The blockchain offers an immutable ledger that allows for a trustless, decentralized system without reliance on third parties. It can provide new features, improve performance, advance network visibility and strengthen the four flows of a supply chain. To survive and compete on the global stage, supply chains must adopt emergent technologies to develop new business strategies. In this paper, a literature survey of academic literature and research works relating to blockchain platforms for global supply chain management is presented. This survey will provide an overview of blockchain technology for supply chain management, summarize industry applications, highlight persistent challenges, and identify research opportunities to enhance the current state of research and advancements in the past five years.
4. Lifecycle Cost Affordability and Performance-Based Contracting: A Managerial Decision Framework Based on a Literature Review Author(s):
Saba Pourreza (university of North Carolina Wilmington, USA),
Rebecca Scott (New Mexico State University, USA),
Brian Sauser (University of North Texas, USA)
This manuscript provides a review and synthesis of the product service system, lifecycle affordability, and performance-based contracting (PBC) literature across supply chain management, operations management, and logistics discipline. The study is based on 128 peer reviewed articles published between 2005 and 2023 in journals related to supply chain, logistics, and operations management field. A framework for lifecycle affordability (LCA) is proposed, as well as key aspects of performance-based strategy design and management, performance specification, and cost elements. This study is a robust literature review of lifecycle affordability and performancebased contracting and proposes a framework to assist in business to business managerial decision making to drivelifecycle costs down.
5. Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review Author(s):
Farzaneh Darbanian (Department for Logistics, University of Applied Sciences Upper Austria, Steyr, Austria),
Patrick Brandtner (Department for Logistics, University of Applied Sciences Upper Austria, Steyr, Austria),
Taha Falatouri (Department for Logistics, University of Applied Sciences Upper Austria, Steyr, Austria),
Mehran Nasseri (Department for Logistics, University of Applied Sciences Upper Austria, Steyr, Austria)
In recent years, there has been a growing surge of interest in the application of data analytics (DA) within the realm of supply chain management (SCM), attracting attention from both practitioners and researchers. This paper presents a comprehensive examination of recent implementations of DA in SCM. Employing a systematic literature review (SLR), we conducted a meticulous analysis of over 354 papers. Building upon a prior SLR conducted in 2018, we identify contemporary areas where DA has been applied across various functions within the supply chain and scrutinize the DA models and techniques that have been employed. A comparison between past findings and the current literature reveals a notable upsurge in the utilization of DA across most SCM functions, with a particular emphasis on the prevalence of predictive analytics models in contemporary SCM applications. The findings of this paper offer a detailed insight into the specific DA models and techniques currently in use across various SCM functions. Additionally, a discernible increase in the adoption of mixed or hybrid DA models is observed. However, several research gaps persist, including the need for more attention to real-time DA in SCM, the integration of publicly available data, and the application of DA to mitigate uncertainty in SCM. To address these areas and guide future research endeavors, the paper concludes by delineating six concrete research directions. These directions offer valuable avenues for further exploration in the field.
6. Digital technology adoption for building supply chain resilience amid the COVID-19 pandemic: Evidence from South Korean manufacturers Author(s):
Minhyo Kang (Dongguk University WISE Campus, South Korea),
Charles Arthur Robb (Hannam University Linton Global School, South Korea),
Seongsoo Kim (Pusan National University, South Korea),
Aaron Rae Stephens (Hartwick College, USA)
This study examines the digital technology adoption of South Korean manufacturers amidst the pandemic unveiling how supply chain disruption orientation improves the adoption of technology to build supply chain resilience and market performance. This is an empirical study utilizing psychosomatic variables (supply chain disruption orientation, innovation adoption, digital infrastructure capability, supply chain resilience, and market performance) to build a model. A sample of 76 South Korean manufacturers is used to test the model and the interrelationships. PLS-SEM is employed for the analysis and mediation effects are provided. Findings indicate that supply chain disruption orientation was significant for the adoption of digital technology during the pandemic; moreover, digital technology facilitated improved supply chain resilience and market performance. Further implications are explicated in this paper.