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Journal of Supply Chain Management Science (JSCMS)
Number of Followers: 7

This is an Open Access Journal

Open Access journal
ISSN (Online) 2451-9901
Published by TU Delft

[7 journals]

Issue Information
- PubDate: 2021-12-29
  Issue No: Vol. 2, No. 3-4 (2021)
A review of the research developments on inventory management of growing
items
- Authors: Nadia Pourmohammad-Zia
  Pages: 71 - 84
  Abstract: Growth outlines the behavior of a class of inventories whose weight and size increase during their storage. Fast-growing young animals such as broiler chickens, ducks, and calves are examples of this class, prevalent in many food industries. Despite their presence in various food supply chains, studying these items in the context of inventory control, supply chain, and operations management is still in its early stage. This study provides the essential grounds of the knowledge in this area and further reviews the related research developments to provide the researchers with clear insights into the structure of the current literature, its main gaps, and promising directions for future research. In order to guarantee the comprehensiveness of our review, we have incorporated a systematic search procedure to identify the relevant literature. Through this procedure, 23 papers were identified that were used in our further analysis throughout the paper. Our investigations show that the literature on growing inventories is very confined, and this body of the literature gets even more limited when it comes to the problems in the context of the supply chain. Our findings introduce the topic as a promising direction in inventory and supply chain management with high potential for insightful future research works.
  PubDate: 2021-12-29
  DOI: 10.18757/jscms.2021.6122
  Issue No: Vol. 2, No. 3-4 (2021)
The interplay between power structure and decision-making in supply
chains: A systematic review
- Authors: Kartika Nurhayati, Jafar Rezaei, Lóránt Tavasszy
  Pages: 85 - 114
  Abstract: This study provides a systematic review of the literature and a conceptual framework of the interplay between power structure and supply chain decision-making. This systematic review studies 281 research papers published in peer-reviewed journals between the year 1994-2020 and uses content analysis and network visualization of major themes and keywords. Thematic analysis was conducted to examine growing discussion in the literature and to identify research gaps. The findings of this review highlight the component of power structure across business-to-business (B2B) relationships, including its impact on companies’ decision-making. Past literature indicates that power, originating from various sources, could be deliberately exploited and exercised by a company to influence the process and outcome of supply chain decisions. The findings demonstrate the mechanics of power and the prevalent domains of decision that are discussed in the organizational power literature: pricing, quality management, sustainability, alliance building, sourcing, investment, inventory, product development and power shifting efforts. The main contribution of this paper is that it provides a critical synthesis of the role of power structure in supply chain decision-making, identifying 7 novel themes and related future research avenues. For managers and decision-makers, this study helps to raise situational awareness to comprehend power structures among supply chain collaborators. This awareness may help managers to identify threats to and opportunities for future supply chain decisions.
  PubDate: 2021-12-29
  DOI: 10.18757/jscms.2021.6112
  Issue No: Vol. 2, No. 3-4 (2021)
Forecasting customer churn: Comparing the performance of statistical
methods on more than just accuracy
- Authors: Ronan Duchemin, Ricardo Matheus
  Pages: 115 - 137
  Abstract: There is a consensus that the best way to forecast customer churn is by statistical methods. It is, however, unclear when which statistical method is more appropriate. This study aims to provide a set of guidelines to data scientists and researchers who are interested in optimizing statistical methods. A systematic literature review revealed six most promising methods for churn forecasting and a selection of metrics which can be used to evaluate the performance of the methods. The six statistical methods are evaluated on five metrics of performance. The best-worst method (BWM), a multi-criteria decision-making method, is used to elicit the relative importance of the performance metrics. Based on the relative importance of the metrics and the performance of the methods, using additive value function, we find an overall value for each method based on which the forecasting methods can be ranked. Experimental analysis reveals that finding an overall value for each statistical analysis leads to a different ranking than when we use a single performance metric like accuracy or AUC. We argue that relying on an aggregated value, like the one we propose in this study, is more reliable than considering only one metric (a common practice).
  PubDate: 2021-12-29
  DOI: 10.18757/jscms.2021.6125
  Issue No: Vol. 2, No. 3-4 (2021)
Supplier segmentation: A systematic literature review
- Authors: Hamidreza Fallah Lajimi, Sara Majidi
  Pages: 138 - 158
  Abstract: Supplier Segmentation is one of the key activities of supplier relationship management (SRM) for companies with a large number of suppliers. It involves dividing the suppliers into a manageable number of segments, to formulate SRM strategies for the various segments, rather than for each individual supplier. In recent years, supplier segmentation has drawn the attention of a number of researchers. The aim of this study is to provide a systematic review of existing literature on supplier segmentation and identify the future trend in this research area using a combination of Systematic Literature Review (SLR) and Citation Network Analysis (CNA). After determining the search protocol and paper selection indexes, 52 papers were eventually selected, and analyzed, in accordance with the steps proposed in the SLR and CNA methods. The results show that researchers tend to favor the portfolio-involvement approach and decision-making techniques in supplier segmentation research domain. A comprehensive analysis of the studies made it possible to distill the future research trend. This research area requires further study involving the supply chain paradigms, the impact of supplier segmentation on performance, and the analysis of the supplier relationship management as a whole, with supplier segmentation being one of its components.
  PubDate: 2021-12-29
  DOI: 10.18757/jscms.2021.6151
  Issue No: Vol. 2, No. 3-4 (2021)

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