Stephan M. WagnerM. RamkumarGopal KumarTobias Schoenherr...
1681-1712页
查看更多>>摘要:Purpose - In the aftermath of disasters, humanitarian actors need to coordinate their activities based on accurate information about the disaster site, its surrounding environment, the victims and survivors and the supply of and demand for relief supplies. In this study, the authors examine the characteristics of radio frequency identification (RFID) technology and those of disaster relief operations to achieve information visibility and actor coordination for effective and efficient humanitarian relief operations. Design/methodology/approach - Building on the contingent resource-based view (CRBV), the authors present a model of task-technology fit (TTF) that explains how the use of RFID can improve visibility and coordination. Survey data were collected from humanitarian practitioners in India, and partial least squares (PLS) analysis was used to analyze the model.Findings The characteristics of both RFID technology and disaster relief operations significantly influence TTF, and TTF predicts RFID usage in disaster relief operations, providing visibility and coordination. TTF is also a mediator between the characteristics of RFID technology and disaster relief operations and between visibility and coordination.Social implications - The many recent humanitarian disasters have demonstrated the critical importance of effective and efficient humanitarian supply chain and logistics strategies and operations in assisting disaster-affected populations. The active and appropriate use of technology, including RFID, can help make disaster response more effective and efficient.Originality/value - Humanitarian actors value RFID technology because of its ability to improve the visibility and coordination of relief operations. This study brings a new perspective to the benefits of RFID technology and sheds light on its antecedents. The study thus expands the understanding of technology in humanitarian operations.
查看更多>>摘要:Purpose - The purpose of this paper is to show the benefits of bridging the gap between supply chainmanagement (SCM) and political philosophy to challenge the underlying assumptions about SCM concepts andopen doors to novel theory building.Design/methodology/approach - A thought experiment is conducted to illustrate how the twophilosophers Niccolo Machiavelli and Jiirgen Habermas would tackle sustainability issues in coffee supplychains from a research perspective. The thought experiment is carried out using data from 30 semi-structuredinterviews with actors from the coffee industry. Supplementing the thought experiment with empirical insightsallows for a deeper understanding of supply chain dynamics and how these are impacted by the application ofthe philosophical viewpoints.Findings - The research stresses the importance of SCM scholars being aware of the underlying assumptionsof their research, as these have a remarkable impact on theory building. A combination of empirical insightsand philosophical understandings makes it possible to reflect on the underlying concepts of SCM, providingsuggestions for reimagining SCM.Originality/value - The contribution of the research is twofold. First, the paper presents an original view onSCM, as the thought experiment is introduced as an approach to better understand SCM concepts. Bychallenging the underlying assumptions with political philosophy, researchers will be better equipped toaddress grand challenges in the twenty-first century. Second, this is exemplified by the case study of the coffeesupply chain, which provides the reader with insight into the dynamics of supply chains with prevalent powerdifferences.
查看更多>>摘要:Purpose - Prior literature has widely established that the design of storage locations impacts order picking task performance. The purpose of this study is to investigate the performance impact of unit loads, e.g. pallets or rolling cages, utilized by pickers to pack products after picking them from storage locations. Design/methodology/approach - An empirical analysis of archival data on a manual order picking system for deep-freeze products was performed in cooperation with a German brick-and-mortar retailer. The dataset comprises N = 343,259 storage location visits from 17 order pickers. The analysis was also supported by the development and the results of a batch assignment model that takes unit load selection into account. Findings - The analysis reveals that unit load selection affects order picking task performance. Standardized rolling cages can decrease processing time by up to 8.42% compared to standardized isolated rolling boxes used in cold retail supply chains. Potential cost savings originating from optimal batch assignment range from 1.03% to 39.29%, depending on batch characteristics.Originality/value - This study contributes to the literature on factors impacting order picking task performance, considering the characteristics of unit loads where products are packed on after they have been picked from the storage locations. In addition, it provides potential task performance improvements in cold retail supply chains.
查看更多>>摘要:Purpose - The COVID-19 pandemic has caused havoc on a global scale for supply chains, which put forward higher demand for organizations to reassess their global supply chain strategy and improve supply chain sustainability. The purpose of this paper is to understand how leader's paradoxical cognition affect supply chain sustainability. Design/methodology/approach - This study conceptualizes a research model grounded in upper echelons theory and propose a chain-mediating model under the moderating effect of big data analytics. Using PLS-SEM method, we test the hypotheses using survey data collected from supply chain managers or leaders of the supply chain team from 193 firms.Findings - The results indicate that supply chain ambidexterity and organizational learning play a mediating role in the relationship between leaders' paradoxical cognition on supply chain sustainability, respectively, and these two variables have a chain-mediating role in the relationship above. In addition, the big data analytics negatively moderates the relationship between leader's paradoxical cognition and organizational learning, and further moderates our chain mediating model.Originality/value - This research initiatively focuses on the micro-foundations of supply chain sustainability from managerial cognition and firstly provides empirical evidence about the impact of leader's paradoxical cognition on supply chain sustainability.
查看更多>>摘要:Purpose - Reverse logistics services are designed to move goods from their point of consumption to an endpoint to capture value or properly dispose of products and materials. Artificial intelligence (AI)-based reverse logistics will help Micro, Small, and medium Enterprises (MSMEs) adequately recycle and reuse the materials in the firms. This research aims to measure the adoption of AI-based reverse logistics to improve circular economy (CE) performance.Design/methodology/approach - In this study, we proposed ten hypotheses using the theory of natural resource-based view and technology, organizational and environmental framework. Data are collected from 363 Indian MSMEs as they are the backbone of the Indian economy, and there is a need for digital transformation in MSMEs. A structural equation modeling approach is applied to analyze and test the hypothesis.Findings - Nine of the ten proposed hypotheses were accepted, and one was rejected. The results revealed that the relative advantage (RA), trust (TR), top management support (TMS), environmental regulations, industry dynamism (ID), compatibility, technology readiness and government support (GS) positively relate to Al-based reverse logistics adoption. AI-based reverse logistics indicated a positive relationship with CE performance. For mediation analysis, the results revealed that RA, TR, TMS and technological readiness are complementary mediation. Still, GS, ID, organizational flexibility, environmental uncertainty and technical capability have no mediation.Practical implications - The study contributed to the CE performance and AI-based reverse logistics literature. The study will help managers understand the importance of AI-based reverse logistics for improving the performance of the CE in MSMEs. This study will help firms reduce their carbon footprint and achieve sustainable development goals.Originality/value - Few studies focused on CE performance, but none measured the adoption of AI-based reverse logistics to enhance MSMEs' CE performance.
查看更多>>摘要:Purpose - This study examines the relationship between multi-layer supply chain flexibility (MSCF) and Supply chain resilience (SCR). Further, it looks at the moderating effect of environmental dynamism (ED) and supply chain risks (SCRI) on the relationship between MSCF and SCR.Design/methodology/approach - Executives from the pharmaceutical, agri-food, electronics, automobile and textile industries were invited to complete a self-administered questionnaire. We received feedback from a total of 302 participants. Prior to conducting the primary analysis, we addressed the potential for nonresponse bias and verified the assumptions of homoscedasticity and normal distribution of the data. The reliability and validity of the constructs were established through confirmatory factor analysis. Structural equation modelling is employed for the purpose of conducting hypothesis testing.Findings - The results demonstrate a notable influence of MSCF on SCR, particularly in settings characterized by high levels of ED and SCRI. The study highlights the importance of flexibility in multiple aspects of the supply chain to build resilience against a range of disruptions and uncertainties.Originality/value - The study presents the fundamental role of Multi-Layer Flexibility in building up SCR. The results of this study reinforce the existing literature and offers empirical evidence for how ED, SCRI moderates the influence between MSCF to SCR. These results offer valuable information to both supply chain specialists and researchers for building comprehensive strategy to bring resilience in supply chains.
查看更多>>摘要:Purpose - Scholars and practitioners have long debated carbon dioxide (CO2) emissions reduction via setting double-carbon goals of peak emissions and carbon neutrality in China. Our study, based on dynamic capability and resource dependence theory (RDT), explores whether digital transformation (DT) affects carbon emissions reduction (CER), and the role of operations and supply chain management (OSCM) factors in this relationship. Design/methodology/approach - The samples are constructed with 454 A-shared listed manufacturing firms with complete financial data from 2010-2021. Regression models with fixed effects are applied to estimate the potential parameters.Findings - We find that DT promotes CER. The performance output of CER is strengthened when supplier concentration and customer concentration are high. In contrast, the performance output of CER is weaker when environmental uncertainty is high.Originality/value - The findings of our study enrich the literature on CER in Chinese manufacturing firms and highlight DT and OSCM factors as important drivers influencing CER practices.
查看更多>>摘要:Purpose - The purpose of the paper is to determine the importance of trade logistics in export intensification and competitiveness on the level of individual companies. Within the framework of logistics performance, the influences of customs efficiency and physical trade infrastructure quality were tested on export while the contribution to improving competitiveness was analyzed through logistics services and the Logistics 4.0 component. In addition, the influence of competitiveness on companies' exports was examined. Design/methodology/approach - The research was conducted based on a survey intended for the management of export-oriented companies which was distributed through the system of the Chamber of Commerce and Industry of Serbia. A total of 298 responses were collected and provided the basis for the application of structural equation modeling (SEM) approach.Findings - The physical trade infrastructure was found to be a significant factor in stimulating exports, while the quality of logistics services has a statistically significant impact on the level of competitiveness. The results also indicate that improving the competitiveness of companies gives positive results in stimulating their exports. Originality/value - Studies that analyze the impact of trade logistics using primary data from surveys are rare. In this paper, for the first time, the SEM methodology was applied in the assessment of logistics performance effects on export and competitiveness of individual companies. Also, the impact of the logistics 4.0 concept on selected companies' performance was empirically tested for the first time.
查看更多>>摘要:Purpose - This study conducts a systematic literature review (SLR) on social inclusion within upstream supply chains, targeting a notable literature gap in modern SCM discourse. By delving into this critical, yet underexamined, domain, this study spotlights the pressing need to incorporate social inclusion practices, particularly as global supply chains face increased scrutiny over their social ramifications. It examines social inclusion's intricacies, offering practical insights for industry professionals to adopt, so that trustworthy social inclusion practices can proliferate across their upstream supply chains, thereby making a substantial contribution to both theoretical understanding and practical application.Design/methodology/approach - Employing five search queries across two leading academic databases, this investigation reviewed 86 articles that examined social issues related to social inclusion in the upstream supply chain. Via content analysis, this study aims to answer essential research questions and employs statistical bibliometric analyses to investigate the collected data further.Findings - This study's findings establish a definition of social inclusion within the upstream supply chain and present a conceptual framework delineating levers and indicators for evaluating such practices. Through rigorous analysis, it becomes apparent that mechanisms such as supplier compliance, collaboration and development are crucial for promoting social inclusion; however, their importance differs at various levels of suppliers in multi-tiered supply chains. Furthermore, a methodological matrix is introduced for assessing social inclusion practices' efficacy, equipping practitioners with a roadmap for developing and executing strategies that extend social inclusion efforts throughout the supply chain, as well as emphasising these levers through monitoring, assessment and application of six specified indicators.Originality/value - This study contributes to the dialogue surrounding upstream supply chain management by spotlighting social inclusion practices, addressing the literature gap in comprehending how social inclusion dynamics operate within upstream supply chains and outlining a distinct direction for forthcoming research. By highlighting the pressing importance of enhancing social inclusion practices, this study not only enriches the theoretical landscape but also lays the groundwork for subsequent empirical studies aimed at deciphering the complexities and practical hurdles associated with the efficient execution of these practices.
查看更多>>摘要:Purpose - Theory is an essential prerequisite in the development and maturation of any scholarly discipline. Thisstudy offers insight into theory development in reverse logistics (RL) studies, provides a synopsis of the theoriesemployed in RL studies, and presents a comprehensive framework for choosing and applying theories in RL studies.Design/methodology/approach - Using the systematic literature review approach, 265 various RL articleswere analysed to discover the trend in using theories in RL studies and classify the individual theories employed.The analysis of the theoretical classification is presented to explain the type and frequency of the usage of theories.Findings - The analysis discovered 52 specific theories from the sample. These theories were categorisedunder various categories: competitive, inventory, economic, decision, etc. The institutional, stakeholder,transaction cost economies, resource-based view, natural resource-based view, dynamic capability, agency andtheory of planned behaviour were some of the key theories discovered. Finally, a comprehensive framework isprovided to aid researchers in choosing and utilising theories.Research limitations/implications - This study gives authors, reviewers and editors perspectives onutilising theories in RL studies. It will give them the impetus to develop theories in RL and limit the borrowingor extension of theories from other disciplines to RL studies.Originality/value - To the best of the researcher's knowledge, this is the first attempt to comprehensivelyprovide an anatomical perspective into theory usage in RL studies. Besides, this study's proposed frameworkfor selecting and using theories is a novelty in the domain of RL.