Field Of Supply Chain Management Research Articles

Blockchain-Enabled Simulation and Optimization for Supply Chain Transparency

The field of supply chain management has experienced heightened complexity in the context of globalization, giving rise to many difficulties pertaining to transparency, traceability, and efficiency. Blockchain technology has emerged as a possible option to mitigate these challenges by offering a secure and unalterable ledger for documenting transactions and events across the supply chain. This study investigates the integration of blockchain technology with simulation and optimization methodologies in order to boost the level of transparency in supply chain operations. This study aims to explore the possibilities of simulation and optimization models provided by blockchain technology in enhancing transparency inside the supply chain. It focuses on the tracking and verification of the flow of items, information, and cash. The aforementioned statement underscores the advantages of blockchain technology, specifically in terms of facilitating real-time data sharing, maintaining tamper-proof records, and employing decentralized consensus methods. The research paper provides an exposition of case studies and practical implementations of blockchain-enabled simulation and optimization across diverse sectors. These examples serve to demonstrate the potential of this methodology in detecting inefficiencies, mitigating risks, and improving overall supply chain efficacy. The aforementioned instances demonstrate how enterprises can acquire a competitive advantage through the utilization of blockchain technology to augment transparency and optimize their supply chain operations.

The Bullwhip Effect and Stock Returns

The bullwhip effect (BWE) is an important phenomenon in the operations and supply chain management field. Although it is commonly accepted that the BWE is widespread and can have a significant adverse impact on financial performance, there is surprisingly limited objective evidence on the financial consequences of the BWE. This paper examines the impact of the BWE on financial performance by examining the relationship between the BWE and stock price performance. The empirical analysis is based on data from 1985 to 2018 from about 7200 publicly traded firms and about 64,000 firm-years. We find that most results on the impact of the BWE on stock returns are statistically indistinguishable from zero. The few marginally significant results that we find suggest a positive relationship between the BWE and stock returns rather than the expected negative relationship. However, these marginally significant results do not hold when alternate methods are used to test the relationships. These conclusions are robust when we segment the sample by size, industry, and time periods. We also do not find a significant relationship between the BWE and stock returns for samples based on the propagation of the BWE from customers to suppliers. We do find some evidence to suggest that the BWE has a negative impact on inventory turnover. However, we do not find similar evidence for capacity utilization. The relationships between the BWE and return on assets measures are statistically insignificant. For margin measures, the relationships are positive and statistically significant but not economically significant.

Supplementary Data for Empirical Insights regarding the Issue of Management Research Impact from the Field of Logistics and Supply Chain Management

Supplementary Data for Empirical Insights regarding the Issue of Management Research Impact from the Field of Logistics and Supply Chain Management

The 2022 who went where in supply chain management

AbstractThe inaugural Who Went Where in Supply Chain Management (SCM) survey replicates the 19‐year format from the highly successful American Marketing Association (AMA) Doctoral Special Interest Group. Results provide data about newly minted doctoral graduates in the job‐seeking stage of their doctoral programs. The report is based on their responses and offers insight into the competitiveness of doctoral applicants as they sought starting positions. We adapted the AMA survey report to the field of SCM. As the new researchers and academics with SCM doctorates place themselves into academic and nonacademic positions, the report seeks to provide (1) awareness to PhD students on how to prepare and be competitive in the job market and (2) offer acumen to academic leaders to equip doctoral students and shape their doctoral program requirements to enhance competitiveness.

Identification of the barriers to the adoption of Circular Supply Chains in Moroccan companies: A combined qualitative analysis and Multi-Criteria Decision Model approach

The Circular Economy has been gaining a growing interest in the research community, particularly in recent years. Its application to the Supply Chain Management field is gaining traction in the literature, as the Supply Chain is recognized as a primary avenue for implementing circular models. However, despite this growing interest, there are few documented examples of the implementation of circular supply chains. This article presents a prioritization of barriers to the adoption of circular supply chains using a combined qualitative analysis and Multi-Criteria Decision Models (MCDM) approach. The study identifies 28 barriers grouped into six main categories: financial barriers, regulation barriers, expertise and technology barriers, governance barriers, market barriers, and infrastructure barriers. The prioritization is based on a multi-case study involving six Moroccan companies. The findings highlight the predominance of regulation barriers, followed by financial barriers. Additionally, the study shows the significant role of market barriers in impeding progress toward circularity.

Role of Analytics in Supply Chain Management Industry in Lithuania: Big Data Analytics & AI

Supply chain managers face a variety of obstacles when preparing for the future, as change is bound to happen. The increase in the importance of “big data” and also the use of “analytics” to analyze this data are two significant changes in the past few years. The analysis of big data is extremely important because it has the potential to yield significant value, and it is essential for companies to make use of the wide range of information sources by carrying out a comprehensive and accurate examination. Goal: The purpose of this article is to showcase the constantly changing nature of supply chain management practices, predict the future impact of big data and analytics in SCM, emphasize the potential benefits of these trends, and offer guidance to leaders in the field of SCM. Approach/technique/procedure: It is emphasized how crucial it is to derive value from the vast quantity of data accessible in the field of supply chain management. Definition of "big data" and analytics, with explanation of how they affect SCM applications. Outcomes: Instances demonstrate how the supply chain management domain can be influenced by these recent trends and advancements. These examples have effectively adopted, utilized, and put into practice analytics that rely on large volumes of data. The existence of big data is undeniable, and utilizing analytics to derive valuable insights from this information has the power to create a significant influence. In summary, it can be stated that... It is important for supply chain managers to closely monitor these 2 trends because effectively incorporating "big data" analytics are able to keep them updated on advancements and alterations, ultimately enhancing their competitiveness.

중국 전자제품 제조기업의 SCM 정보통합 역량이 파트너십과 위험관리성과에 미치는 영향

In the recent global business environment, the development of 4th Industrial Revolution technology has profoundly changed the way companies operate and the market competitive landscape. In a rapidly changing era, smart customer management is identified as one of the key elements of corporate success, and especially in the field of supply chain management(SCM), the realization of customer relationship management through improvement of information integration capabilities is important. In this context, the purpose of this study is to reveal the relationship between SCM information integration capabilities, partnerships, smart customer relationship management, and risk management performance for electronics manufacturing companies in Shandong Province, China. The target of this study is an electronics manufacturing company in Shandong Province, China that uses SCM. To collect appropriate data, member lists such as the Shandong Province Foreign Economy and Trade Enterprise Association and the Shandong Province Electronics Association were used. For the empirical analysis, SPSS Ver. 28.0 was used for factor analysis, and Process Macro Ver. 4.2 was used for mediation and moderation effect analysis., As a result of the analysis, it was found that SCM information integration capability has a positive effect on risk management performance, and partnership mediates this relationship. And the electronics manufacturing company's smart customer relationship management showed a positive moderating effect on the relationship between partnerships and risk management performance. This study is significant in that it identified the importance of SCM information integration capabilities and identified the role of interaction with partners and smart customer relationship management.

Enhancing Green Supply Chain Resilience and Competitive Performance Through Open Innovation and Digital Innovations

This research delves into how green supply chain practices, open innovation, and digital innovations collectively enhance supply chain resilience and market competitiveness amidst the challenges of the COVID-19 pandemic. The study uses a comprehensive mixed-methods approach to collect qualitative and quantitative data from various supply chain professionals. Through structured interviews, online surveys, and the analysis of relevant literature and case studies, it assesses the impact of these practices on business competitive performance. The research uncovers a significant positive association, showing that organizations implementing these integrated strategies experience greater supply chain resilience, evident in their ability to adapt to disruptions and maintain resource efficiency. Furthermore, these practices lead to better competitive performance, marked by increased cost efficiency, revenue growth, and market share. Despite its insights, the study acknowledges limitations such as the reliance on self-reported data and its primary focus on the post-COVID-19 context, which may affect the generalizability of the findings. However, these limitations highlight avenues for future research, including longitudinal studies and cross industry analyses. This report contributes substantially to the evolving sustainable supply chain management field by offering novel insights on the intersection of green practices, innovation, and digital transformation in enhancing organizational resilience and competitive edge in a rapidly changing global landscape.

Acceptance of digital twins of customer demands for supply chain optimisation: an analysis of three hierarchical digital twin levels

PurposeInaccurate capturing and processing of customer requirements result in negative economic and ecological effects. Digital twins of customer demands promise to remedy these issues. However, successful implementation necessitates users' technology acceptance. This study contrasts three hierarchical digital twin levels with different degrees of user integration and examines determinants for their respective acceptance.Design/methodology/approachA structural equation model is applied in a comparative manner, considering different levels of digital twin radicalness. A multidimensional approach is used to measure attitudes towards usage. Data are collected in the context of organisational supply management.FindingsResults show harmonious effects across digital twin levels. This indicates that technological radicality plays only a subordinate role when assessing acceptance determinants such as user perception on ease of use, usefulness, trust and risk.Practical implicationsRather than focussing solely on technological factors, findings suggest that users prioritise the actual outcome and efficiency of the system. This perspective offers practical implications for organisations seeking to implement advanced systems and emphasises the significance of user perceptions beyond technological features.Social implicationsThe societal impact of this research are an appreciation of customer roles in the supply chain where an enhanced detection of customer needs and preferences aligns businesses with the dynamic and evolving demands of a diverse and a continuously environmentally-conscious consumer base.Originality/valueThis study applies a measurement model for technology acceptance in a unique and multidimensional manner. Thereby, a comparative analysis of user perceptions across different digital twin levels sheds more light on a nascent, promising and underexplored technological method. This interdisciplinary research combined knowledge from the supply chain management and management information systems fields by highlighting key factors for the adoption of complex technological methods.

Understanding Technological Orientation as a Predictor of Organization Performance: Evidence from State Corporations in the Energy Sector in Kenya

Kenya's energy sector plays an important facilitative role to other sectors of the economy and thus drives economic productivity and industrial growth. Statistical evidence shows that the key objectives of the energy sector, such as increasing electricity generation capacity, fostering access to services and information, promoting stakeholder satisfaction, and upgrading requisite technology, have not been accomplished in the recent couple of years. For this reason, this study examined the effect of technology orientation on the organization performance of government entities in Kenya's energy sector. The research was based on a resource-based view and a balanced scorecard. The research design was cross-sectional, including inferential and descriptive analysis. The study's target group included 11 Kenyan state corporations with 887 managers. A sample size of 285 respondents was chosen using a stratified random selection procedure. The respondents were managers in the fields of human resources, accounting, marketing, operations, corporate affairs, procurement, and supply chain management, as well as information and communication technology, administration, finance, and business strategy development. A structured questionnaire was used to acquire primary data. Quantitative data were analyzed and presented using figures and tables, as well as descriptive and inferential statistics. Tables and pie charts were used to convey quantitative data. The findings of the research revealed that technological orientation has a positive effect on the performance of state corporations in Kenya's energy sector. The findings of the study contribute to the body of knowledge, thereby validating the propositions of the resource-based view and dynamic capabilities theory. Further, the conclusion of this study forms an important basis for anchoring policy guidelines on strategic orientation practices that foster technological orientation and corresponding resource commitment for promoting communication, automation, technological change, and research and development with the object of optimizing organizational outcomes. Future researchers should execute replicative research in other sectors and industries to validate the findings of this study.

Geopolitical disruptions in global supply chains: a state-of-the-art literature review

This paper systematically reviews the literature on the impact of geopolitical disruptions on supply chains to identify primary discourses, emergent themes and key gaps to set a future research agenda. The guiding research question is ‘how do geopolitical disruptions affect the configuration, flow, and management of global supply chains?’. The study applies a systematic literature review of 50 papers from the Association of Business Schools’ (ABS) ranked academic journals in the fields of operations, production, and supply chain management published between 1995 and 2022. Through an in-depth literature analysis, this paper demarcates geopolitical disruptions and the resulting impact on supply chains as a new subfield of research. The results indicate that the impact of geopolitical disruptions on supply chains can be mitigated through: (1) supply chain re-design including regionalisation, back-shoring, and moving away from just-in-time delivery models as well as (2) the implementation of emerging technologies, such as blockchain, 3D printing and artificial intelligence, to improve supply chain transparency and the development of modularised manufacturing. This paper is one of the first to define the current state of research and thinking on the impact of geopolitical disruptions on supply chains, laying a firm foundation for future research by setting a detailed research agenda based on identified gaps.

АНАЛИЗ ВОЗОБНОВЛЕНИЯ РИТЕЙЛ-ОПЕРАЦИЙ ЕВРОПЕЙСКИХ БРЕНДОВ НА ТЕРРИТОРИИ РОССИИЙСКОЙ ФЕДЕРАЦИИ (НА ПРИМЕРЕ ИКЕА)

The relevance of the presented research is justified by the need for scientific and practical understanding of the dramatic changes in the structure of the Russian consumer market that we are currently observing. From a managerial point of view, the "exodus" of a significant number of European and American brands, as well as the subsequent trend towards the "return" of some of them, is a non-trivial task for management scientists and practitioners. Business conditions are radically changing, which requires informed decisions about which operating models will be most suitable in the short and medium term, taking into account the government measures being introduced to support Russian business, changes in consumer preferences, the competitive environment and many other factors. The described processes take place in conditions of "tearing" supply chains and powerful transformational processes in the field of supply chain management in general, and handling of customer orders (otherwise, fulfillment) in particular. The study conducted by the authors aims to determine the range of key factors contributing to the resumption of retail operations, to describe the key parameters and limitations that the returning business will face, as well as to form a proposal for the likely scenarios for the resumption of IKEA retail operations in Russia. The study is based on the analysis of a standardized interview of a group of management experts directly related to the retail operations of the specified company. The authors present a potential model for ensuring brand operations in Russia in "new" conditions, and also identify its main limitations.

Seeing with fresh eyes – the potential of paradox theory to explore persistent, interdependent tensions in supply chains

PurposeThis study explores the potential of paradox theory as a novel theoretical lens to investigate persistent and interdependent tensions in supply chains. It is based on a critical literature review focusing on paradoxes observed within complex supply chains in dynamic business environments, including the articles selected for this special issue, “Environmental Dynamism and Supply Chain Complexity: Managing the Paradoxes.”Design/methodology/approachThis study introduces the key concepts and themes of the paradox theory literature and possible methodological approaches to studying paradoxes in supply chains. Through a literature review, this study also reflects on the current state of paradox research in the field of operations and supply chain management (OSCM) and proposes future research questions.FindingsThe application of paradox theory to OSCM research is in its early stages. This paper presents opportunities to explore persistent and interdependent tensions in supply chains using paradox theory.Research limitations/implicationsThe paper suggests several new research questions that should be translated into more precise propositions. The main implication for research is a call to focus attention on how and why a paradox perspective can help supply chain researchers view complex supply chain problems with fresh eyes.Originality/valueThe study provides the first critical review of paradoxical tensions in OSCM research. While the papers in this special issue contribute significantly to a better understanding of these issues, there is still significant potential for understanding how to respond to paradoxes in supply chains.

Improving the Quality of the Logistics and Supply Chain Management Faculty According to a Competency-Based Approach at Vietnamese Universities

In the context of global economic integration, the logistics and supply chain management industry is becoming a spearhead sector driving the development of Vietnam's economy. However, the current growth of this industry is facing difficulties due to a shortage of high-quality human resources in terms of both quantity and skills. The teaching activities of logistics and supply chain management at Vietnamese universities still have many limitations and do not meet the specific needs of developing students' capacity after graduation. This article is based on a survey of the general situation of teaching logistics and supply chain management at Vietnamese universities. In which, the current situation of the teaching staff is still lacking in experience and expertise in the field of logistics and supply chain management. In addition, teaching methods are still quite traditional and do not meet the requirements for interaction, application, practical skills, and creative thinking for students. Through analyzing the factors affecting the teaching process, the article introduces a solution to improve the quality of the teaching staff of logistics and supply chain management based on a competency-based approach.

Factors influencing career advancement in supply chain management with gender perspectives: French case study

PurposeThe field of supply chain management (SCM) needs to attract and retain workers to solve the current talent shortage. The purpose of this research is to identify and evaluate factors that influence career advancement in SCM and compare male and female supply chain experts' perceptions of the importance of those factors.Design/methodology/approachFirst, 32 factors perceived as affecting career advancement in SCM were identified by conducting a literature review and consulting 36 experts. Those factors were grouped into four categories: “environmental and structural”, “human capital”, “individual” and “interpersonal”. Those factors were validated via the Delphi method, and ten factors were retained for further study. Second, the voting analytical hierarchy process was used to determine the priority weights experts assigned to these factors. The weights assigned by male and female experts were compared to determine if there were differences between the women's and men's perceptions of the factors' importance.FindingsThe findings reveal that the category of human capital factors is the most important, followed by individual factors and the least important is interpersonal factors. The experts consulted for this research emphasized “skills”, “a good fit between an individual and an organization” and “self-confidence” as important factors for career advancement. There were two unexpected results. First, the experts rejected all the environmental and structural factors. Second, no significant difference was found between the male and female groups' evaluations.Originality/valuePrior to this study, no integrated approach to identify and evaluate the factors perceived which affect career advancement in SCM had been developed. This research is a single empirical and integrative study in France that provides valuable insights for academics and practitioners.

Blockchain empowerment in construction supply chains: Enhancing efficiency and sustainability for an infrastructure development

The construction sector is now experiencing a significant transformation, primarily motivated by the need to enhance operational efficiency and promote sustainable practices. The emergence of blockchain technology has been seen as a disruptive factor that has the potential to fundamentally transform the field of supply chain management within the construction industry. Nevertheless, the extent to which this technology has revolutionized the sector has yet to be extensively investigated. The primary objective of this study is to address the existing research void by examining the impact of blockchain technology on enhancing the capabilities of building supply chains. This study employs a thorough examination of empirical case studies and a survey conducted among 136 industry professionals to explore the many functions of blockchain technology in augmenting efficiency, transparency, and traceability within building supply chains. The significant constructs were found having impact on blockchain implementation for construction supply chains are, Transparency and Traceability (β = 0.202, ρ = 0.000, t = 42.560), Smart Contracts for Automation (β = 0.232, ρ = 0.000, t = 62.596), Quality Assurance and Compliance (β = 0.230, ρ = 0.000, t = 64.704), Dispute Resolution and Accountability (β = 0.235, ρ = 0.000, t = 79.533), Supplier Management and Verification (β = 0.251, ρ = 0.000, t = 49.404).

Simulation Modeling in Supply Chain Management Research of Ethanol: A Review

Ethanol, a common renewable energy resource, can reduce greenhouse gas (GHG) emissions to resolve the problem of global warming worldwide. Various feedstocks such as corn, sugarcane, maize stover, and wheat straw can be utilized for ethanol production. They determine production operations and relevant costs. Although there are monetary incentives and government policies in different countries to increase ethanal use, it is still challenging to make its sales price competitive due to the inefficient supply chain of ethanol. Unlike fossil fuels such as coal, oil, and natural gas using a well-designed supply chain in the long history of mankind, additional efforts are needed to organize and stabilize the supply chain of ethanol efficiently. The goal of this study is to investigate how simulation modeling techniques can be applied to various supply chain management issues of ethanol. Particularly, application cases of three major simulation paradigms such as discrete-event simulation, system dynamics, and agent-based simulation are investigated by conducting a scientific literature review. The findings of this study will contribute to the expansion of simulation use in the field of biofuel supply chain management.

Data Envelopment Analysis Approaches for Multiperiod Two-Level Production and Distribution Planning Problems

This paper deals with two-level production and distribution planning problems in supply chain management where the leader is a distributor and the follower is a manufacturer. Assuming that the distributor can observe the input–output data in the production process, we formulated the data envelopment analysis (DEA) production problem corresponding to the production planning problem of the manufacturer. This paper proposes a novel data envelopment analysis (DEA) approach to solve a challenging multiperiod two-level production and distribution planning problem in supply chain management. The innovative idea behind the proposed approach is to allow the distributor to observe the input–output data regarding the production activities of the manufacturer, even if the distributor cannot fully comprehend all parameters of the manufacturer’s production cost minimization problem. This approach addresses the challenge of uncertain demands by employing a two-stage model with simple recourse and considering the usage of the input–output data. The paper demonstrates the validity of the proposed DEA approaches through computational experiments and discusses the accuracy, reliability, and importance of the input–output data. The proposed approach provides a practical and effective solution to the multiperiod two-level production and distribution planning problem in supply chain management, and can help decision-makers improve the efficiency and effectiveness of their operations. The innovative idea of allowing the distributor to observe the input–output data about the production activities of the manufacturer is a significant contribution to the field of supply chain management and has the potential to advance the state of the art in this area.

A review of the sustainability indicators’ application in vehicle routing problem

In today’s competitive market, reducing costs and time is one of the most important issues that has occupied the minds of managers and researchers. With the expansion of industries, almost all businesses need a supply chain management system that is first able to meet the needs of customers and secondly by providing modern solutions to reduce time and cost, have the necessary efficiency to meet the challenges of the logistics industry and the supply chain. This issue is especially important in the field of supply chain management and transportation, because by reducing time and cost, manufacturers and service providers can gain a competitive advantage over competitors. Accordingly, vehicle routing issues are one of the most important issues in this field because it is directly related to the time of service or product delivery and also by optimizing the network, reduces the cost of the entire network. In this research some studies on the issue of sustainability in the transportation network have been discussed, which is a review of previous research in this field.

Intelligent Automation Of Fraud Detection And Investigation:A Bibliometric Analysis Approach

Purpose:This study aims to examine the use of intelligent automation in the process of detecting and investigating fraud. Methodology/approach:This research is a bibliometric-based systematic literature review (SLR) related to fraud detection. The research sample consisted of 75 articles obtained from the Science Direct, Emerald Insight, IEE, and MDPI databases for the period 2020–2023. Findings: The results of the research show that machine learning and deep learning are the most popular fraud detection techniques used by researchers, and the field of credit card fraud is the most popular field used as a research object. The fields of property insurance, health, cyber phishing, taxation, Shell companies, social programs, Ponzi schemes, and supply chain management are the ones that have the least amount of research, namely only one article for each of these fields. Practical implications: The result show that there are smart tools in detecting fraud in several fields, but it has not been explained whether the existence of these tools can reduce fraud. Originality/value: This research provides novelty in the use of intelligent automation in the process of detecting and investigating fraud.