Operations Management Research最新文献

To reduce environmental pollution and resource waste in manufacturing, it is important to discuss the increase in consumers' willingness to buy sustainable clothing and their satisfaction with it, as well as ideas on product design optimization and marketing strategies of environmental protection clothing enterprises as well as business and logistics operations. The approach used in this study to obtain the overall rank of criteria is a combination of the Decision Making Trial and Evaluation Laboratory (DEMATEL) and Decision-making Trial and Evaluation Laboratory based on ANP (DANP). Using Muji brand clothing as the empirical research object, this paper seeks to investigate the important factors and consumer preferences in purchasing sustainable clothing. We collected 140 criterion-importance questionnaires and 161 IPA questionnaires. Through literature review and the Delphi method, this study provides an important criterion framework for sustainable clothing, and it used the DEMATEL-based Analytical Network Process (ANP) method to determine the causal relationships among the purchasing factors of sustainable clothing and the importance ranking of these factors. According to the findings, the criterion of "sustainable material" is the most important factor in consumers' decisions to purchase sustainable clothing, and the "environmental protection brand image" and "value expression" are key factors that should be optimized. The evaluation model can be widely used in clothing design, marketing, questionnaire making, evaluation indicators, enterprise development, business operations, and other fields. Such a study has strong implications for industry 4.0 research in the future.

This research emphasized on the applicability of Industry 4.0 technologies in the domain of supply chain network exploring the relevance to circular economy. A study was conducted to portray integrated impact of two different domains: circular supply chain (CSC) and Industry 4.0 (I4.0) underlining their effects on the circular economy. The outline of this research is to determine the linkage between CSC and I4.0 to address the barriers to CSC implementation in small medium enterprises (SMEs). This research specifically focused to explore synergies, conflicts, or dependencies between CSC principles and the implementation of I4.0 technologies within SMEs citing the impact on circular economy (CE). To extract vital and conclusive insights from this research, a systematic literature review (SLR) was conducted followed by incorporating content analysis. A systematic procedure was adopted focused on identification of anticipated keywords/and themes having relevance to CSC linking with I4.0 applicability inferring to their core concepts and their overall impact on the circular economy. The existence of specific keywords, topics, or key concepts in a given set of qualitative data (i.e. text) having linkage with the integrated impact of CSC and I4.0 was explored employing this systematic procedure based on PACEF framework. This procedure to validate this research encompasses six different steps – research convention (defining the study's parameters), search (identifying search terms and database types), evaluation (consistent standards for the inclusion and rejection of literature as well as for evaluating the quality), amalgam (extrapolating and classifying data), scanning (describing outcome before coming to a decision), and finally reporting the results (describing the process used and releasing the outcome to the communal), entire procedure being abbreviated as CSEASR. This research yielded significant inferences on the combined effects of CSC and I4.0 on the circular economy that will aid eradicate barriers to CSC deployment with the usage of I4.0 technologies for SMEs.

The uncertainty of High Impact Low Frequency (HILF) events is a test of the resilience of mankind. The recent COVID-19 pandemic has agonized the systems worldwide shattering the health and economy. The automobile industry was among the major affected worldwide due to dependency on labour, network structure, and nature of operations. Yet, the industry could operate to cater to healthcare equipment demands using repurposing, an adaptation strategy. Given this, the present study quantifies the losses in production and Value Addition (VA) in the industry and investigates the effects of adaptation at a firm level. To compute the losses, a non-pandemic scenario was enacted using Seasonal Autoregressive Integrated Moving Average (SARIMA) to present the IIP and VA values in the absence of the pandemic. The VA Losses were computed as the difference between actual and forecasted measures. This was followed by a firm-level analysis of the effects of repurposing using a scalable Discrete Event Simulation (DES) model. Using two scenarios, an automobile component manufacturing press shop that handles 114 jobs using 28 machines was chosen to understand the benefits of repurposing raw materials to produce ventilators and oxygen support equipment. Results indicated a VA Loss of INR 198.46 billion during the initial phases of the pandemic from March to July 2020. Scenario 2, which contributed 5% of raw materials every month and repurposed after fulfilling demand, was effective. An additional 321 and 864 additional ventilators or oxygen concentrators were produced in Scenario 2 than in Scenario 1 over the 14 months. Firm-level implementation evidences the benefits of operationalizing the adaptation strategies. More insights for managers and policymaking have been discussed.

In the wake of disruptions such as the COVID-19 pandemic, supply chains (SCs) face unprecedented levels of uncertainty, underscoring the critical need for resilience capabilities. We study how the operational dynamics of SCs influence the efficacy of key resilience capabilities, specifically flexibility and visibility. Utilizing a system dynamics simulation model, we analyze the contingency effects within Finnish grocery SCs, examining how the operational tempo—characterized by lead times, inventory buffers, information updating—affects the efficiency of resilience strategies in response to diverse disruption scenarios. Our model, informed by real-world disruption events and responses, reveals distinct preferences for resilience capabilities based on SC operational dynamics. For fast-moving SCs, flexibility in ramping up capacity emerges as paramount, whereas for slower SCs, enhanced visibility becomes crucial. We contribute to the contingent Resource-Based View (RBV) on SC resilience by proposing that responsiveness is important moderator of flexibility and visibility as resilience capabilities. We highlight the importance of prevention of phantom ordering through improved visibility and caution against destocking following sudden demand declines. By aligning operational dynamics with tailored resilience strategies, our research offers actionable insights for SC managers aiming to navigate future disruptions more effectively.

The primary objective of this research paper is to conduct a comprehensive and systematic literature review (SLR) focusing on Sustainable Supply Chain Management (SSCM) practices that promote Circular Economy (CE), sustainability, and resilience through adopting emerging digital technologies. A SLR of 130 research articles published between 1991 and 2023 was used to analyze emerging trends in CE, supply chain management (SCM), and digitalization. This study meticulously examined research publication patterns, the intricate themes explored, influential scholars, leading countries, and substantial scientific contributions that have shaped this multifaceted domain. This paper contributed to the collective understanding of how SSCM practices, driven by the principles of CE and empowered by the adoption of digital technologies, foster sustainability, resilience, and innovation within contemporary SCs. The research findings presented herein are primarily based on an analysis of the current literature from only Scopus and Web of Science (WoS) databases, which may restrict the generalizability of implementing these results. Based on this study, organizations and practitioners can assess the maturity of their SCM practices, gauge the resilience and digitalization levels of their SCs, and align them with academic literature trends. This enables practitioners to bridge the gap between scholarly advancements and real-world SCM implementation. Through its systematic review, the study provides a structured literature review that offers a collective understanding of SSCM practices driven by CE principles and empowered by digital technologies. This understanding enables sustainability, resilience, and innovation within contemporary SCs, benefiting academicians and practitioners.

Sustainable competitive advantage, a cornerstone of strategic management, encompasses a business's enduring capability to maintain long-term financial superiority over its competitors. The business should optimize its operations by reducing costs and improving efficiency to attain a sustainable competitive advantage. In the present study, the Activity-Based Costing (ABC) system was implemented to calculate the unit costs of a hotel operating in Turkey, and the expenses were allocated to the overnight costs using the Full-Consistency Method (FUCOM) technique. FUCOM is designed to determine room costs in a hotel business accurately. Expert evaluations were simulated to interpret the results statistically. Also, the Best–worst method (BWM) is used to compare the results. The results of this study hold significant implications for decision-makers, implementers, stakeholders, and theoretical contributions to hotel operations. The proposed model will enable hotels to identify room costs and realistically achieve a sustainable competitive edge. The proposed system is also suitable for implementation by other enterprises operating in the service sector.

Based on the logical chain of “network working capital management (hereinafter, NWCM) → supply chain concentration (hereinafter, SCC) → corporate performance”, this study empirically and quantitatively explored the relationship between NWCM and corporate performance and the mediating effect of the SCC. Enterprise heterogeneity was considered. Specifically, we selected 312 companies listed on both the Shanghai and Shenzhen Exchanges from 2012 to 2022; these companies applied supply chain finance with the assistance of web crawling and textual analysis technology. The fixed effect panel regression model and the mediating model embedded with interaction terms were used in the empirical analysis. The empirical results showed that corporate performance had an inverted U-shaped relationship with NWCM, and the vertex was 1.123%. When the NWCM was less than the vertex, corporate performance was positively related to NWCM, and a negative relationship existed between them when NWCM was greater than the vertex. Moreover, the heterogeneity results showed differences among companies of different scales and with different ownership styles, and the mediating effect of SCC was negative, weakening the inverted U-shaped relationship between NWCM and corporate performance. The results of difference testing, instrumental variables analysis and Hausman-Taylor tests supported the robustness of the above conclusions.

Supply chain (SC) adaptability (SC-Ad) implies that SC processes should change and adapt to anticipated structural and market changes. However, when these changes are related to shifts from exploitative to explorative focuses, companies face an inflexibility problem because of involved uncertainties, creating a barrier to obtaining SC-Ad. This research proposes to overcome this barrier by integrating new combinations of the product/market strategy and SC processes and securing their fit over time. To get it, this study proposes two SC-Ad drivers (related to the SC process (ASCOS) and new product development competences (PDC)), which secure the aforementioned fit by reducing its uncertainties and thus ensuring a SC-Ad that responds to emerging competitive changes. Measurement and structural models were assessed following PLS-SEM. ASCOS and PDC’ relative importance was analyzed using the importance/performance/analysis procedure. PLS, PLS-predict, and CVPAT were used to analyze model’s in-sample and out-of-sample predictive capacity. ANOVA was used to compare SC-Ad, ASCOS and PDC in different plant groups. Results suggest that ASCOS and PDC are SC-Ad’s drivers, and that the plants with highest SC-Ad values are those with the higher ASCOS and PDC’ values. This expand knowledge about SC-Ad drivers, which represents an important literature gap. In an indirect way, some new light is also added to the topic of ambidextrous management. The adequate generalizability of these results is supported by a) a wide multi-country, multi-informant, and multi-sector sample of 268 plants, b) a good out-of-sample model predictive capacity c) no heterogeneity issues.

While COVID-19 has presented significant challenges, it has also facilitated the integration of digital technologies and generated prospects that have revived the emphasis on sustainable and ecologically conscious methodologies. But no effort has so far been made to grasp the interrelationships linking digital transformation technologies, green supply chain management (GSCM), and supply chain capabilities (i.e., SC agility and resilience) using dynamic capability theory in emerging markets like Egypt. The present article, besides attempting this task, explores the moderating role of COVID-19 fear-uncertainty in the link between digital transformation technologies and GSCM. To achieve this, a mixed-methods approach was taken to examine five hypotheses using a sample of 311 managers from industrial companies in Egypt. The theoretical framework was assessed with the partial least squares-based structural equation model (PLS-SEM) using Smart PLS. The outcomes revealed that second-order digital transformation directly impacts on GSCM. GSCM itself also positively affects SC agility and resilience. Furthermore, GSCM plays a mediating role in linking digital transformation technologies with SC agility and resilience. Lastly, it showed that COVID-19 fear-uncertainty moderates the direct influence of digital transformation on GSCM. In this regard, the outcomes are beneficial for decision-makers investing in the digital transformation of their SC processes. Finally, this article reviews the limitations but also assesses the substantial contributions to theory and practice made by the paper.

There has been an escalating number of studies focusing on improvement in organizational performance through implementation of lean practices and total quality management (TQM) approaches for sustainability in internal (within a supply chain echelon) as well as external environments (across supply chain echelons). However, studies that capture the simultaneous consideration of environmental sustainability with applicability of just-in-time (JIT) practices under the influence of industry 4.0 are very limited and broadly unclear. This underscores the need for a thorough assessment of the current state and gaps in “Green-JIT,” as environmental sustainability emerges as a pivotal factor for companies aiming to align with both profitability and efficiency in the competitive global market. The contributions of this paper are three-fold. Firstly, the study aims to review the concepts of JIT, environmental sustainability and industry 4.0 by revisiting seminal research contributions from several authors in this domain. Secondly, the study identifies the importance of addressing environmental concerns simultaneously with various total JIT (T-JIT) elements and their association with industry 4.0 through a bibliometric significance analysis. Thirdly, the study presents a systematic and extensive literature review of the papers at the interface of JIT and concepts such as lean, TQM, supply chain management (SCM), environmental sustainability, and industry 4.0. The study continues to identify voids and concludes with an exhaustive set of research gaps, perspectives and future research directions.