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Supply chain management

About: Supply chain management is a research topic. Over the lifetime, 39055 publications have been published within this topic receiving 1082949 citations. The topic is also known as: SCM.


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Journal ArticleDOI
TL;DR: In this paper, the authors argue that there is a huge credibility gap of the value of RFID, and that a void exists in showing how the proclaimed values are arrived at, and how those values can be realized.
Abstract: RFID (Radio-Frequency Identification) technology has shown itself to be a promising technology to track movements of goods in a supply chain. As such, it can give unprecedented visibility to the supply chain. Such visibility can save labor cost, improve supply chain coordination, reduce inventory and increase product availability. Industry reports and white papers are now filled with estimates and proclamations of the benefits and quantified values of RFID. Early adopters are now rallying more and more followers. However, most such claims are educated guesses at best and are not substantiated, that is, they are not based on detailed, model-based analysis. This paper argues that there is a huge credibility gap of the value of RFID, and that a void exists in showing how the proclaimed values are arrived at, and how those values can be realized. The paper shows that this credibility gap must be filled with solid model analysis, and therefore presents a great opportunity for the Production and Operations Management (POM) research community. The paper reviews some of the ongoing research efforts that attempt to close the credibility gap, and suggests additional directions for further strengthening the POM's contribution to help industry realize the full potentials of RFID.

534 citations

Journal ArticleDOI
TL;DR: Experimental results support the theoretically suggested notion that upstream chain members stand to gain the most from information-sharing initiatives and observe that inventory information helps somewhat to alleviate the bullwhip effect.
Abstract: The tendency of orders to increase in variability as one moves up a supply chain is commonly known as the bullwhip effect. We study this phenomenon from a behavioral perspective in the context of a simple, serial, supply chain subject to information lags and stochastic demand. We conduct two experiments on two different sets of participants. In the first, we find the bullwhip effect still exists when normal operational causes (e.g., batching, price fluctuations, demand estimation, etc.) are removed. The persistence of the bullwhip effect is explained to some extent by evidence that decision makers consistently underweight the supply line when making order decisions. In the second experiment, we find that the bullwhip, and the underlying tendency of underweighting, remains when information on inventory levels is shared. However, we observe that inventory information helps somewhat to alleviate the bullwhip effect by helping upstream chain members better anticipate and prepare for fluctuations in inventory needs downstream. These experimental results support the theoretically suggested notion that upstream chain members stand to gain the most from information-sharing initiatives.

534 citations

Journal ArticleDOI
TL;DR: In this article, the authors apply information processing and resource dependence perspectives to identify the repertoire of strategic responses to supply chain disruptions and to devise and test a model that explains the occurrence of the alternative responses.
Abstract: Why, how, and under what conditions do firms respond to supply chain disruptions? These are important questions, given that firms around the world are increasingly exposed to disruptions that impede their supply chain relationships and associated operations. This study applies information processing and resource dependence perspectives to identify the repertoire of strategic responses to supply chain disruptions and to devise and test a model that explains the occurrence of the alternative responses. The findings suggest that these responses are shaped by the "stability motive" and by "interpretative postures," which evolve from past experiences.

534 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the relationship between supply chain management process maturity and performance and provided a process maturity model for enhanced supply chain performance, which is based on concepts developed by researchers over the past two decades.
Abstract: The concept of process maturity proposes that a process has a lifecycle that is assessed by the extent to which the process is explicitly defined, managed, measured and controlled. A maturity model assumes that progress towards goal achievement comes in stages. The supply chain maturity model presented in this paper is based on concepts developed by researchers over the past two decades. The Software Engineering Institute has also applied the concept of process maturity to the software development process in the form of the capability maturity model. This paper examines the relationship between supply chain management process maturity and performance, and provides a supply chain management process maturity model for enhanced supply chain performance.

533 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed measurement scales for a supply chain orientation (SCO) and supply chain management (SCM), and established the relationship between a SCO, SCM, and business performance.
Abstract: To investigate the construct of Supply Chain Management and its antecedent construct of a Supply Chain Orientation, reliable, valid scales of each are needed. In this study, we developed measurement scales for a supply chain orientation (SCO) and supply chain management (SCM). Validity and reliability of the developed scales were established and the relationship between a SCO, SCM, and business performance was also established, providing evidence of nomological validity. The implications of these findings for managers and researchers are discussed.

532 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20245
20231,181
20222,172
20211,739
20201,945
20191,916