Pub Date : 2023-11-03DOI: 10.1080/13675567.2023.2278479
Fei Deng, Yixuan Wei, Yiqiao Liu, Botao Yan, Jinshun Wu, Ying Cui, Song Pan
The trade-off between the timely delivery of emergency supplies and the long distribution path distance can be described as a generalised multiple travelling salesman problem. To solve this problem, the IDGWOA was proposed to minimise the longest distribution path. Taking the data of several lockdown zones in Pudong, Shanghai, as an example, 10 optimal material distribution routes were obtained by simulation. The results showed that the average distribution route distance was about 22.5 km and the longest distribution distance was 26.40 km. The results verified the effectiveness of the proposed algorithm, realising a reasonable guarantee of supply distribution. Finally, four standard travelling salesman problem datasets were used and the results were compared with five other intelligent optimisation algorithms. The results showed that the relative error value index of the improved algorithm was the smallest for the same dataset, indicating that the algorithm achieves the highest accuracy.
{"title":"Distribution route optimisation of emergency supplies based on improved grey wolf optimisation algorithm","authors":"Fei Deng, Yixuan Wei, Yiqiao Liu, Botao Yan, Jinshun Wu, Ying Cui, Song Pan","doi":"10.1080/13675567.2023.2278479","DOIUrl":"https://doi.org/10.1080/13675567.2023.2278479","url":null,"abstract":"The trade-off between the timely delivery of emergency supplies and the long distribution path distance can be described as a generalised multiple travelling salesman problem. To solve this problem, the IDGWOA was proposed to minimise the longest distribution path. Taking the data of several lockdown zones in Pudong, Shanghai, as an example, 10 optimal material distribution routes were obtained by simulation. The results showed that the average distribution route distance was about 22.5 km and the longest distribution distance was 26.40 km. The results verified the effectiveness of the proposed algorithm, realising a reasonable guarantee of supply distribution. Finally, four standard travelling salesman problem datasets were used and the results were compared with five other intelligent optimisation algorithms. The results showed that the relative error value index of the improved algorithm was the smallest for the same dataset, indicating that the algorithm achieves the highest accuracy.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135818718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-21DOI: 10.1080/13675567.2023.2272830
Jiani Fan, Lingyan He
ABSTRACTIn the era of Industry 4.0, digital transformation has become a key driver of corporate development. Despite its profound significance, there is a dearth of research examining its underlying influencing mechanisms. To fill this gap, this study investigates the impact of firms’ digital transformation on firm performance and explores the moderating role of supply chain concentration using a sample of Chinese listed firms from 2011 to 2021. Drawing on transaction cost and knowledge-based theories, digital technologies boost efficiency and flexibility, reduce transaction costs, and enable the leveraging of a diverse resource pool, which ultimately leads to improved performance among supply chain participants. The results indicate a positive contribution of digital transformation to firm performance in China. Notably, the relationship is moderated by supply chain concentration, with digital transformation exerting a more significant effect on firm performance in companies with low customer concentration and high supplier concentration.KEYWORDS: Digital transformationsupply chain concentrationcustomer concentrationsupplier concentrationmoderating effects Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are openly available in China’s Stock Market and Accounting Research (CSMAR) database at https://www.gtarsc.com.Additional informationFundingThis paper was supported by the Research Project of Zhejiang Federation of Humanities and Social Sciences Circles [grant number 2024B049]. All errors remain the responsibility of the authors.
{"title":"The impacts of digital transformation on firm performance in China: the moderating role of supply chain concentration","authors":"Jiani Fan, Lingyan He","doi":"10.1080/13675567.2023.2272830","DOIUrl":"https://doi.org/10.1080/13675567.2023.2272830","url":null,"abstract":"ABSTRACTIn the era of Industry 4.0, digital transformation has become a key driver of corporate development. Despite its profound significance, there is a dearth of research examining its underlying influencing mechanisms. To fill this gap, this study investigates the impact of firms’ digital transformation on firm performance and explores the moderating role of supply chain concentration using a sample of Chinese listed firms from 2011 to 2021. Drawing on transaction cost and knowledge-based theories, digital technologies boost efficiency and flexibility, reduce transaction costs, and enable the leveraging of a diverse resource pool, which ultimately leads to improved performance among supply chain participants. The results indicate a positive contribution of digital transformation to firm performance in China. Notably, the relationship is moderated by supply chain concentration, with digital transformation exerting a more significant effect on firm performance in companies with low customer concentration and high supplier concentration.KEYWORDS: Digital transformationsupply chain concentrationcustomer concentrationsupplier concentrationmoderating effects Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are openly available in China’s Stock Market and Accounting Research (CSMAR) database at https://www.gtarsc.com.Additional informationFundingThis paper was supported by the Research Project of Zhejiang Federation of Humanities and Social Sciences Circles [grant number 2024B049]. All errors remain the responsibility of the authors.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135511199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-19DOI: 10.1080/13675567.2023.2269101
Shan Qiao, Mingke He, Jing Wang, Jianping Cai, Jie Zheng
ABSTRACTThe COVID-19 outbreak has posed serious challenges to logistics and supply chain management. This study examines how living materials can be provided to a population under quarantine control due to the spread of infectious diseases. First, we present a modified SEIR model for predicting the number of people and materials demanded. Considering the dynamic evolution and other characteristics of infectious diseases, and the resulting demand uncertainty, we develop a robust optimization model for a multi-period dynamic emergency materials supply chain network with the objective of minimising total cost. We then transform it into a solvable robust counterpart model, propose a dynamic adjustment strategy, and cope with it using the Rolling Horizon approach to obtain dynamic location and materials distribution decisions. Finally, we conduct a case study of the Shanghai epidemic in 2022 to verify the feasibility and effectiveness of our model and method.KEYWORDS: Major infectious disease epidemicsmodified SEIR modelemergency materials supply chain networkrobust optimizationuncertain budget adjustmentrolling horizon approach Data availability statementThe data of this study are available upon request from the corresponding author.Disclosure statementNo potential conflict of interest was reported by the author(s).Ethics approvalThis article does not contain any studies with human participants or animals performed by any of the authors.Additional informationFundingThis work was supported by Key program of The National Social Science Fund of China [grant number 20AJY016].
{"title":"Robust optimization for a dynamic emergency materials supply chain network under major infectious disease epidemics","authors":"Shan Qiao, Mingke He, Jing Wang, Jianping Cai, Jie Zheng","doi":"10.1080/13675567.2023.2269101","DOIUrl":"https://doi.org/10.1080/13675567.2023.2269101","url":null,"abstract":"ABSTRACTThe COVID-19 outbreak has posed serious challenges to logistics and supply chain management. This study examines how living materials can be provided to a population under quarantine control due to the spread of infectious diseases. First, we present a modified SEIR model for predicting the number of people and materials demanded. Considering the dynamic evolution and other characteristics of infectious diseases, and the resulting demand uncertainty, we develop a robust optimization model for a multi-period dynamic emergency materials supply chain network with the objective of minimising total cost. We then transform it into a solvable robust counterpart model, propose a dynamic adjustment strategy, and cope with it using the Rolling Horizon approach to obtain dynamic location and materials distribution decisions. Finally, we conduct a case study of the Shanghai epidemic in 2022 to verify the feasibility and effectiveness of our model and method.KEYWORDS: Major infectious disease epidemicsmodified SEIR modelemergency materials supply chain networkrobust optimizationuncertain budget adjustmentrolling horizon approach Data availability statementThe data of this study are available upon request from the corresponding author.Disclosure statementNo potential conflict of interest was reported by the author(s).Ethics approvalThis article does not contain any studies with human participants or animals performed by any of the authors.Additional informationFundingThis work was supported by Key program of The National Social Science Fund of China [grant number 20AJY016].","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.1080/13675567.2023.2262396
Xiaoran Shi, Weihua Liu, Ming K. Lim
ABSTRACTConsidering the tighter collaboration, increased complexity and ever-wider geographic dispersion in the global supply chain, supply chain uncertainties and risks remain a key managerial challenge to build a resilient supply chain. From this perspective, in this study, a structured literature review on extant studies related to supply chain resilience in the past decade is conducted. Given a general descriptive analysis and an in-depth content analysis in terms of problem-oriented and methodology-driven dimensions, the research progress for building resilient supply chains is depicted. Then, following a ‘why-what-how’ logic, revisiting of the Triple-A (alignment, agility and adaptiveness), Triple-P (product complexity, process complexity and partnership complexity) and Triple-R (readiness, responsiveness and restoration) frameworks are conducted to sort out the challenges and research gaps for the development of supply chain resilience across the globe. Finally, a generalised framework is proposed and research opportunities for future development are discussed.KEYWORDS: Supply chain resilienceSLRTriple-A frameworkTriple-P frameworkTriple-R framework AcknowledgementsThe authors sincerely thank the editor and the anonymous reviewers for their constructive and important comments on the paper. This paper is supported by Major Program of the National Social Science Foundation of China (grant number 22&ZD139)Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Dimensions include (1) narrative literature review (NLR), systematic literature review (SLR), model/conceptual framework (CM/CF) and theoretical contribution (TC).Additional informationFundingThis work was supported by Major Program of the National Social Science Foundation of China: [Grant Number 22&ZD139].
{"title":"Supply chain resilience: new challenges and opportunities","authors":"Xiaoran Shi, Weihua Liu, Ming K. Lim","doi":"10.1080/13675567.2023.2262396","DOIUrl":"https://doi.org/10.1080/13675567.2023.2262396","url":null,"abstract":"ABSTRACTConsidering the tighter collaboration, increased complexity and ever-wider geographic dispersion in the global supply chain, supply chain uncertainties and risks remain a key managerial challenge to build a resilient supply chain. From this perspective, in this study, a structured literature review on extant studies related to supply chain resilience in the past decade is conducted. Given a general descriptive analysis and an in-depth content analysis in terms of problem-oriented and methodology-driven dimensions, the research progress for building resilient supply chains is depicted. Then, following a ‘why-what-how’ logic, revisiting of the Triple-A (alignment, agility and adaptiveness), Triple-P (product complexity, process complexity and partnership complexity) and Triple-R (readiness, responsiveness and restoration) frameworks are conducted to sort out the challenges and research gaps for the development of supply chain resilience across the globe. Finally, a generalised framework is proposed and research opportunities for future development are discussed.KEYWORDS: Supply chain resilienceSLRTriple-A frameworkTriple-P frameworkTriple-R framework AcknowledgementsThe authors sincerely thank the editor and the anonymous reviewers for their constructive and important comments on the paper. This paper is supported by Major Program of the National Social Science Foundation of China (grant number 22&ZD139)Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Dimensions include (1) narrative literature review (NLR), systematic literature review (SLR), model/conceptual framework (CM/CF) and theoretical contribution (TC).Additional informationFundingThis work was supported by Major Program of the National Social Science Foundation of China: [Grant Number 22&ZD139].","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-04DOI: 10.1080/13675567.2023.2264795
Hee-sung Bae, David B. Grant, Ruth Banomyong, Puthipong Julagasigorn
ABSTRACTThis study investigates the mediation effect of customer empathy between theenvironmental orientation of retail firms, and subsequent customer purchasing behaviour towards eco-friendly goods. The empirical study developed conceptual and operational measurement variables from prior research and collected data from retail firm customers in the Republic of Korea. Confirmatory factor analysis was used to verify the reliability and validity of the collected data, and relationships between the variables were analysed using structural equation modelling. Two findings resulted as follows. First, a retail firm’s environmental orientation, manifested by a strategic approach to environmental issues and environmental capabilities, does positively affect customer empathy towards them. Second, positive customer empathy towards a retail firm’s environmental orientation positively affects customer purchasing behaviour towards the retail firm’s eco-friendly goods.KEYWORDS: Environmental orientationcustomer empathypurchasing behaviourretail firmseco-friendly goodsRepublic of Korea Disclosure statementNo potential conflict of interest is reported by the authors.Data availability statementDue to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data are not available.Ethics approvalApproval received from Kyonggi University, Republic of Korea.
{"title":"Does customer empathy mediate between the environmental orientation of retail firms and customer purchase intentions?","authors":"Hee-sung Bae, David B. Grant, Ruth Banomyong, Puthipong Julagasigorn","doi":"10.1080/13675567.2023.2264795","DOIUrl":"https://doi.org/10.1080/13675567.2023.2264795","url":null,"abstract":"ABSTRACTThis study investigates the mediation effect of customer empathy between theenvironmental orientation of retail firms, and subsequent customer purchasing behaviour towards eco-friendly goods. The empirical study developed conceptual and operational measurement variables from prior research and collected data from retail firm customers in the Republic of Korea. Confirmatory factor analysis was used to verify the reliability and validity of the collected data, and relationships between the variables were analysed using structural equation modelling. Two findings resulted as follows. First, a retail firm’s environmental orientation, manifested by a strategic approach to environmental issues and environmental capabilities, does positively affect customer empathy towards them. Second, positive customer empathy towards a retail firm’s environmental orientation positively affects customer purchasing behaviour towards the retail firm’s eco-friendly goods.KEYWORDS: Environmental orientationcustomer empathypurchasing behaviourretail firmseco-friendly goodsRepublic of Korea Disclosure statementNo potential conflict of interest is reported by the authors.Data availability statementDue to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data are not available.Ethics approvalApproval received from Kyonggi University, Republic of Korea.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135592534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1080/13675567.2022.2052823
Jianxin Wang, M. Lim, Chao Wang, M. Tseng
ABSTRACT Since the beginning of the twentieth century, the concept of sustainable logistics and supply chain management (SL&SCM) started gaining popularity in academia, more than 5000 publications have been published in the last 30 years. This study aims to review the literature in SL&SCM published from 1994–2019 and present insights and directions for future research. First, this study selects 2809 publications from WoS and Scopus databases, presents a bibliometric overview of SL&SCM. Second, this study presents a visual collaboration network based on VOSviewer® and Bibliometric®. Finally, this study shows visual thematic trends, challenges, and opportunities. The limitations of this paper are also summarised. Research results show that the mainstream studies mainly focus on the case studies, green practices, green performance, optimisation, and carbon footprint. In addition, the thematic evolution of keywords shows that sustainability and supply chain issues have become basic themes in the field of SL&SCM research in recent years.
{"title":"Comprehensive analysis of sustainable logistics and supply chain based on bibliometrics: overview, trends, challenges, and opportunities","authors":"Jianxin Wang, M. Lim, Chao Wang, M. Tseng","doi":"10.1080/13675567.2022.2052823","DOIUrl":"https://doi.org/10.1080/13675567.2022.2052823","url":null,"abstract":"ABSTRACT Since the beginning of the twentieth century, the concept of sustainable logistics and supply chain management (SL&SCM) started gaining popularity in academia, more than 5000 publications have been published in the last 30 years. This study aims to review the literature in SL&SCM published from 1994–2019 and present insights and directions for future research. First, this study selects 2809 publications from WoS and Scopus databases, presents a bibliometric overview of SL&SCM. Second, this study presents a visual collaboration network based on VOSviewer® and Bibliometric®. Finally, this study shows visual thematic trends, challenges, and opportunities. The limitations of this paper are also summarised. Research results show that the mainstream studies mainly focus on the case studies, green practices, green performance, optimisation, and carbon footprint. In addition, the thematic evolution of keywords shows that sustainability and supply chain issues have become basic themes in the field of SL&SCM research in recent years.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49397285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1080/13675567.2022.2052825
Ioannis Manikas, B. Sundarakani, Mohamed Shehabeldin
ABSTRACT This study investigates the impact of the effects of big data analytics on supply chain resilience. The Big Data Analytics (BDA) expertise of management and personnel, as well as the Supply Chain (SC) resilience dimensions of preparedness and agility are considered in this research. This study tests five main hypotheses using data obtained from an empirical survey collected from 128 Emirati companies, which were analysed through the partial least square method of structural equation modelling (PLS-SEM) using SmartPLS 3.2. The measurement model created was reflective and contained a total of 31 construct indicators. The results showed that the construct of ‘big data analytics capability of planning' as demonstrated by expertise of Emirati companies in the UAE management has a significantly positive influence on SC preparedness. In addition, SC preparedness has a direct, positive influence on SC agility which are preparedness for the companies towards digital transformation initiative in the UAE. The study will be helpful for the logistics industry of the UAE and worldwide to understand the need and importance of the BDA aspects and related capability planning for business resilience at times of such global pandemic.
{"title":"Big data utilisation and its effect on supply chain resilience in Emirati companies","authors":"Ioannis Manikas, B. Sundarakani, Mohamed Shehabeldin","doi":"10.1080/13675567.2022.2052825","DOIUrl":"https://doi.org/10.1080/13675567.2022.2052825","url":null,"abstract":"ABSTRACT This study investigates the impact of the effects of big data analytics on supply chain resilience. The Big Data Analytics (BDA) expertise of management and personnel, as well as the Supply Chain (SC) resilience dimensions of preparedness and agility are considered in this research. This study tests five main hypotheses using data obtained from an empirical survey collected from 128 Emirati companies, which were analysed through the partial least square method of structural equation modelling (PLS-SEM) using SmartPLS 3.2. The measurement model created was reflective and contained a total of 31 construct indicators. The results showed that the construct of ‘big data analytics capability of planning' as demonstrated by expertise of Emirati companies in the UAE management has a significantly positive influence on SC preparedness. In addition, SC preparedness has a direct, positive influence on SC agility which are preparedness for the companies towards digital transformation initiative in the UAE. The study will be helpful for the logistics industry of the UAE and worldwide to understand the need and importance of the BDA aspects and related capability planning for business resilience at times of such global pandemic.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44222295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1080/13675567.2023.2264788
Juan Nicolas Gonzalez, Natalia Sobrino, Jose Manuel Vassallo
Last-mile Logistics (LML) solutions in cities have become a priority due to the increasing demand for products, changes in population consumption, ai r quality challenges, population pressure, and economic downturns. There are many solutions to achieve a sustainable LML, as it depends on the characteristics and goals of each city. This study develops a weighting framework incorporating expert judgments and the contextual urban environment to identify the key criteria when evaluating sustainable LML solutions. The framework is applied in six European cities to examine how the sensitivity of the urban context influences the weights assigned to these criteria. By analysing the variations in weights, the study aims to understand the impact of contextual factors on the importance of different aspects of LML. We found that social and environmental sustainability are essential criteria. The urban context significantly influences the sustainability of different solutions, as each city has its own priorities and challenges. The methodology defined in this paper may contribute to helping policymakers to promote sustainable LML.
{"title":"Considering the city context in weighting sustainability criteria for last-mile logistics solutions","authors":"Juan Nicolas Gonzalez, Natalia Sobrino, Jose Manuel Vassallo","doi":"10.1080/13675567.2023.2264788","DOIUrl":"https://doi.org/10.1080/13675567.2023.2264788","url":null,"abstract":"Last-mile Logistics (LML) solutions in cities have become a priority due to the increasing demand for products, changes in population consumption, ai r quality challenges, population pressure, and economic downturns. There are many solutions to achieve a sustainable LML, as it depends on the characteristics and goals of each city. This study develops a weighting framework incorporating expert judgments and the contextual urban environment to identify the key criteria when evaluating sustainable LML solutions. The framework is applied in six European cities to examine how the sensitivity of the urban context influences the weights assigned to these criteria. By analysing the variations in weights, the study aims to understand the impact of contextual factors on the importance of different aspects of LML. We found that social and environmental sustainability are essential criteria. The urban context significantly influences the sustainability of different solutions, as each city has its own priorities and challenges. The methodology defined in this paper may contribute to helping policymakers to promote sustainable LML.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135743900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1080/13675567.2023.2257139
Jiajia Meng, Zhiling Hao, Jialu Yang, Yushan Hong
ABSTRACTThis study investigates the effect of digital transformation on sustainable performance in the volatility, uncertainty, complexity and ambiguity (VUCA) era. Survey data from China is used to test the mediating role of supply chain agility and integration as well as the moderating effect of perceived business force. The findings reveal that supply chain agility mediates the effects of digital transformation on economic and social performance, particularly under high level of perceived business force. However, no significant effect on environmental performance is observed. Additionally, supply chain integration acts as a mediator for the effects of digital transformation on economic, social and environmental performance, furthermore, the moderated mediation effects of perceived business force are supported. This study elusidates how digitalisation influences organisational sustainable performance through supply chain capabilities and highlights the crucial role of digital supply chain in the VUCA era. It provides theoretical and practical implications for achieving sustainable development.KEYWORDS: Digital transformationsupply chain agilitysupply chain integrationsustainable performanceperceived business force Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe datasets used during the current study can be provided on reasonable request.
{"title":"How does digital transformation affect organisational sustainable performance: the mediating roles of supply chain agility and integration","authors":"Jiajia Meng, Zhiling Hao, Jialu Yang, Yushan Hong","doi":"10.1080/13675567.2023.2257139","DOIUrl":"https://doi.org/10.1080/13675567.2023.2257139","url":null,"abstract":"ABSTRACTThis study investigates the effect of digital transformation on sustainable performance in the volatility, uncertainty, complexity and ambiguity (VUCA) era. Survey data from China is used to test the mediating role of supply chain agility and integration as well as the moderating effect of perceived business force. The findings reveal that supply chain agility mediates the effects of digital transformation on economic and social performance, particularly under high level of perceived business force. However, no significant effect on environmental performance is observed. Additionally, supply chain integration acts as a mediator for the effects of digital transformation on economic, social and environmental performance, furthermore, the moderated mediation effects of perceived business force are supported. This study elusidates how digitalisation influences organisational sustainable performance through supply chain capabilities and highlights the crucial role of digital supply chain in the VUCA era. It provides theoretical and practical implications for achieving sustainable development.KEYWORDS: Digital transformationsupply chain agilitysupply chain integrationsustainable performanceperceived business force Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe datasets used during the current study can be provided on reasonable request.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135695593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-27DOI: 10.1080/13675567.2023.2260312
Hao Zheng, Jing Dai, Boying Li, Yongyi Shou
ABSTRACTIn today’s volatile, uncertain, complex, and ambiguous environment, it is crucial for management to determine how to develop and maintain highly operational, sustainable organisations amid digitalisation. Digitalisation creates conditions for the emergence of new technologies, leading to heightened anticipation in this dynamic setting. However, their effects on firm performance are inconsistent. This study adopts the ‘Strategy-Structure-Capabilities-Performance’ framework to investigate how firms align the anticipation of new technologies (strategy), horizontal integration (structure), and agility (capability) to achieve remarkable operational and environmental performance. Data from a high-performance manufacturing database was used to identify 195 firms across 15 countries. The proposed model was assessed through regression and structural equation modelling. The findings imply that: (1) anticipation of new technologies contributes to the development of agility, (2) this anticipation, when aligned with horizontal integration, further enhances agility, and (3) increased agility can significantly improve both operational and environmental performance.KEYWORDS: Anticipation of new technologieshorizontal integrationagilitystrategy structure capabilities performance perspectivesustainabilityhigh performance manufacturing Data availability statementData are available on request from the authors.Disclosure statementNo potential conflict of interest was reported by the authors.
{"title":"The impact of anticipation of new technologies on operational and environmental performance: a strategy-structure-capabilities-performance perspective","authors":"Hao Zheng, Jing Dai, Boying Li, Yongyi Shou","doi":"10.1080/13675567.2023.2260312","DOIUrl":"https://doi.org/10.1080/13675567.2023.2260312","url":null,"abstract":"ABSTRACTIn today’s volatile, uncertain, complex, and ambiguous environment, it is crucial for management to determine how to develop and maintain highly operational, sustainable organisations amid digitalisation. Digitalisation creates conditions for the emergence of new technologies, leading to heightened anticipation in this dynamic setting. However, their effects on firm performance are inconsistent. This study adopts the ‘Strategy-Structure-Capabilities-Performance’ framework to investigate how firms align the anticipation of new technologies (strategy), horizontal integration (structure), and agility (capability) to achieve remarkable operational and environmental performance. Data from a high-performance manufacturing database was used to identify 195 firms across 15 countries. The proposed model was assessed through regression and structural equation modelling. The findings imply that: (1) anticipation of new technologies contributes to the development of agility, (2) this anticipation, when aligned with horizontal integration, further enhances agility, and (3) increased agility can significantly improve both operational and environmental performance.KEYWORDS: Anticipation of new technologieshorizontal integrationagilitystrategy structure capabilities performance perspectivesustainabilityhigh performance manufacturing Data availability statementData are available on request from the authors.Disclosure statementNo potential conflict of interest was reported by the authors.","PeriodicalId":14018,"journal":{"name":"International Journal of Logistics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135538599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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