International Journal of Physical Distribution & Logistics ManagementTable of Contents for International Journal of Physical Distribution & Logistics Management. List of articles from the current issue, including Just Accepted (EarlyCite)https://www.emerald.com/insight/publication/issn/0960-0035/vol/54/iss/1?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestInternational Journal of Physical Distribution & Logistics ManagementEmerald Publishing LimitedInternational Journal of Physical Distribution & Logistics ManagementInternational Journal of Physical Distribution & Logistics Managementhttps://www.emerald.com/insight/proxy/containerImg?link=/resource/publication/journal/2ce44751f90f897f98195d89ad54d831/urn:emeraldgroup.com:asset:id:binary:ijpdlm.cover.jpghttps://www.emerald.com/insight/publication/issn/0960-0035/vol/54/iss/1?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAnalysis on the effects of global supply chain reconfiguration on China's high-end equipment manufacturing industryhttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-11-2022-0346/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe challenges faced by China's high-end equipment manufacturing (HEEM) industry are becoming clearer in the process of global supply chain (GSC) reconfiguration. The purpose of this study is to investigate how China's HEEM industry has been affected by the GSC reconfiguration, as well as its short- and long-term strategies. The authors adopted a multi-method approach. Interviews were conducted in Phase 1, while a three-round Delphi survey was conducted in Phase 2 to reach consensus at the industry level. The GSC reconfiguration affected China's HEEM supply chain (SC). Its direct effects include longer lead times, higher purchasing prices and inconsistent supply and inventory levels of key imported components and materials. Its indirect effects include inconsistent product quality and cash flows. In the short term, China's HEEM enterprises have sought to employ localized substitutes, while long-term strategies include continuous technological innovation, industry upgrades and developing SC resilience. This study not only encourages Chinese HEEM enterprises to undertake a comprehensive examination of their respective industries but also provides practical insights for SC scholars, policymakers and international stakeholders interested in how China's HEEM industry adapts to the GSC reconfiguration and gains global market share.Analysis on the effects of global supply chain reconfiguration on China's high-end equipment manufacturing industry
Xufan Zhang, Xue Fan, Mingke He
International Journal of Physical Distribution & Logistics Management, Vol. 54, No. 1, pp.1-39

The challenges faced by China's high-end equipment manufacturing (HEEM) industry are becoming clearer in the process of global supply chain (GSC) reconfiguration. The purpose of this study is to investigate how China's HEEM industry has been affected by the GSC reconfiguration, as well as its short- and long-term strategies.

The authors adopted a multi-method approach. Interviews were conducted in Phase 1, while a three-round Delphi survey was conducted in Phase 2 to reach consensus at the industry level.

The GSC reconfiguration affected China's HEEM supply chain (SC). Its direct effects include longer lead times, higher purchasing prices and inconsistent supply and inventory levels of key imported components and materials. Its indirect effects include inconsistent product quality and cash flows. In the short term, China's HEEM enterprises have sought to employ localized substitutes, while long-term strategies include continuous technological innovation, industry upgrades and developing SC resilience.

This study not only encourages Chinese HEEM enterprises to undertake a comprehensive examination of their respective industries but also provides practical insights for SC scholars, policymakers and international stakeholders interested in how China's HEEM industry adapts to the GSC reconfiguration and gains global market share.

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Analysis on the effects of global supply chain reconfiguration on China's high-end equipment manufacturing industry10.1108/IJPDLM-11-2022-0346International Journal of Physical Distribution & Logistics Management2023-12-01© 2023 Emerald Publishing LimitedXufan ZhangXue FanMingke HeInternational Journal of Physical Distribution & Logistics Management5412023-12-0110.1108/IJPDLM-11-2022-0346https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-11-2022-0346/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effect of perceptions of justice in returns on satisfaction and attitudes toward the retailerhttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-01-2022-0007/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the competitive retailing environment, retailers who provide service experiences that stand out from the competition can gain a competitive advantage. Increasingly, an important aspect of the service experience involves product returns, in particular, the fairness of returns policies and procedures. Previous research studies support that interpersonal justice and informational justice relate positively to consumer attitudes and behaviors. In this paper, the authors examine the relative effects of interpersonal justice and informational justice on return satisfaction, positive word-of-mouth (PWOM) and trust. Additionally, the authors examine the moderating effects of returns process convenience and returns policy restrictiveness as indicators of procedural justice. A scenario-based experiment methodology was used to test the relationships of interest. Results support that the effects of interpersonal justice on the outcome variables are stronger than the effects of informational justice. There is also support for a moderating effect of returns process convenience on the relationships between interpersonal justice and each outcome variable, as well as partial support for the moderating effect of returns policy restrictiveness on the relationship between interpersonal justice and PWOM. The research extends previous work on the effects of justice on customer outcomes. Results support the importance of retailers treating customers with fairness during the returns experience and further support the benefits of providing a convenient returns experience.The effect of perceptions of justice in returns on satisfaction and attitudes toward the retailer
Angela L. Jones, Jason W. Miller, Judith M. Whipple, Stanley E. Griffis, Clay M. Voorhees
International Journal of Physical Distribution & Logistics Management, Vol. 54, No. 1, pp.40-60

In the competitive retailing environment, retailers who provide service experiences that stand out from the competition can gain a competitive advantage. Increasingly, an important aspect of the service experience involves product returns, in particular, the fairness of returns policies and procedures. Previous research studies support that interpersonal justice and informational justice relate positively to consumer attitudes and behaviors. In this paper, the authors examine the relative effects of interpersonal justice and informational justice on return satisfaction, positive word-of-mouth (PWOM) and trust. Additionally, the authors examine the moderating effects of returns process convenience and returns policy restrictiveness as indicators of procedural justice.

A scenario-based experiment methodology was used to test the relationships of interest.

Results support that the effects of interpersonal justice on the outcome variables are stronger than the effects of informational justice. There is also support for a moderating effect of returns process convenience on the relationships between interpersonal justice and each outcome variable, as well as partial support for the moderating effect of returns policy restrictiveness on the relationship between interpersonal justice and PWOM.

The research extends previous work on the effects of justice on customer outcomes. Results support the importance of retailers treating customers with fairness during the returns experience and further support the benefits of providing a convenient returns experience.

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The effect of perceptions of justice in returns on satisfaction and attitudes toward the retailer10.1108/IJPDLM-01-2022-0007International Journal of Physical Distribution & Logistics Management2023-12-07© 2023 Emerald Publishing LimitedAngela L. JonesJason W. MillerJudith M. WhippleStanley E. GriffisClay M. VoorheesInternational Journal of Physical Distribution & Logistics Management5412023-12-0710.1108/IJPDLM-01-2022-0007https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-01-2022-0007/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Intelligent algorithms applied to the prediction of air freight transportation delayshttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-10-2022-0328/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objective of this paper is to evaluate whether the data from consignors, logistics service providers (LSPs) and consignees contribute to the prediction of air transport shipment delays in a machine learning application. The research database contained 2,244 air freight intercontinental shipments to 4 automotive production plants in Latin America. Different algorithm classes were tested in the knowledge discovery in databases (KDD) process: support vector machine (SVM), random forest (RF), artificial neural networks (ANN) and k-nearest neighbors (KNN). Shipper, consignee and LSP data attribute selection achieved 86% accuracy through the RF algorithm in a cross-validation scenario after a combined class balancing procedure. These findings expand the current literature on machine learning applied to air freight delay management, which has mostly focused on weather, airport structure, flight schedule, ground delay and congestion as explanatory attributes.Intelligent algorithms applied to the prediction of air freight transportation delays
Guilherme Dayrell Mendonça, Stanley Robson de Medeiros Oliveira, Orlando Fontes Lima Jr, Paulo Tarso Vilela de Resende
International Journal of Physical Distribution & Logistics Management, Vol. 54, No. 1, pp.61-91

The objective of this paper is to evaluate whether the data from consignors, logistics service providers (LSPs) and consignees contribute to the prediction of air transport shipment delays in a machine learning application.

The research database contained 2,244 air freight intercontinental shipments to 4 automotive production plants in Latin America. Different algorithm classes were tested in the knowledge discovery in databases (KDD) process: support vector machine (SVM), random forest (RF), artificial neural networks (ANN) and k-nearest neighbors (KNN).

Shipper, consignee and LSP data attribute selection achieved 86% accuracy through the RF algorithm in a cross-validation scenario after a combined class balancing procedure.

These findings expand the current literature on machine learning applied to air freight delay management, which has mostly focused on weather, airport structure, flight schedule, ground delay and congestion as explanatory attributes.

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Intelligent algorithms applied to the prediction of air freight transportation delays10.1108/IJPDLM-10-2022-0328International Journal of Physical Distribution & Logistics Management2023-12-19© 2023 Emerald Publishing LimitedGuilherme Dayrell MendonçaStanley Robson de Medeiros OliveiraOrlando Fontes Lima JrPaulo Tarso Vilela de ResendeInternational Journal of Physical Distribution & Logistics Management5412023-12-1910.1108/IJPDLM-10-2022-0328https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-10-2022-0328/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Supply chain resilience as a system quality: survey-based evidence from multiple industrieshttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-06-2023-0203/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestExperiencing more frequent, system-wide disruptions, such as pandemics and geopolitical conflicts, supply chains can be largely destabilized by a lack of materials, services or components. Supply chain resilience (SCRES) constitutes the network ability to recover after and survive during such unexpected events. To enhance the understanding of SCRES as a system-wide quality, this study tests a comprehensive SCRES model with data from multiple industries. The study proposes a theoretical framework conceptualizing SCRES as system quality, extending the classical proactive/reactive taxonomy by multiple system states consisting of the supply system properties, behaviors and responses to disruptions. Underlying hypotheses were tested using an online survey. The sample consists of 219 responses from German industries. Maximum likelihood structural equation modeling (ML-SEM) and moderation analysis were used for analyzing the survey data. The study was particularly designed to elaborate on supply chain theory. Two pathways of parallel SCRES building were identified: proactive preparedness via anticipation and reactive responsiveness via agility. Both system responses are primarily built simultaneously rather than successively. The present study further provides empirical evidence on the central role of visibility and velocity in achieving comprehensive SCRES, while flexibility only exerts short-term support after a disruption. The study additionally points to potential “spillover effects” such as the vital role of proactive SCRES in achieving reactive responsiveness. The present study confirms and expands existing theories on SCRES. While stressing the multidimensionality of SCRES, it theorizes the (inter-)temporal evolution of a system and offers practical guidelines for SCRES building in various industrial contexts. It thus supports the transformation toward more resilient and viable supply chains, contributing to the increasing efforts of middle-range theory building to achieve an overarching theory. The study also points to potential future research avenues.Supply chain resilience as a system quality: survey-based evidence from multiple industries
Tim Gruchmann, Gernot M. Stadtfeld, Matthias Thürer, Dmitry Ivanov
International Journal of Physical Distribution & Logistics Management, Vol. 54, No. 1, pp.92-117

Experiencing more frequent, system-wide disruptions, such as pandemics and geopolitical conflicts, supply chains can be largely destabilized by a lack of materials, services or components. Supply chain resilience (SCRES) constitutes the network ability to recover after and survive during such unexpected events. To enhance the understanding of SCRES as a system-wide quality, this study tests a comprehensive SCRES model with data from multiple industries.

The study proposes a theoretical framework conceptualizing SCRES as system quality, extending the classical proactive/reactive taxonomy by multiple system states consisting of the supply system properties, behaviors and responses to disruptions. Underlying hypotheses were tested using an online survey. The sample consists of 219 responses from German industries. Maximum likelihood structural equation modeling (ML-SEM) and moderation analysis were used for analyzing the survey data. The study was particularly designed to elaborate on supply chain theory.

Two pathways of parallel SCRES building were identified: proactive preparedness via anticipation and reactive responsiveness via agility. Both system responses are primarily built simultaneously rather than successively. The present study further provides empirical evidence on the central role of visibility and velocity in achieving comprehensive SCRES, while flexibility only exerts short-term support after a disruption. The study additionally points to potential “spillover effects” such as the vital role of proactive SCRES in achieving reactive responsiveness.

The present study confirms and expands existing theories on SCRES. While stressing the multidimensionality of SCRES, it theorizes the (inter-)temporal evolution of a system and offers practical guidelines for SCRES building in various industrial contexts. It thus supports the transformation toward more resilient and viable supply chains, contributing to the increasing efforts of middle-range theory building to achieve an overarching theory. The study also points to potential future research avenues.

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Supply chain resilience as a system quality: survey-based evidence from multiple industries10.1108/IJPDLM-06-2023-0203International Journal of Physical Distribution & Logistics Management2024-01-02© 2023 Emerald Publishing LimitedTim GruchmannGernot M. StadtfeldMatthias ThürerDmitry IvanovInternational Journal of Physical Distribution & Logistics Management5412024-01-0210.1108/IJPDLM-06-2023-0203https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-06-2023-0203/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Supply chain job and vocational fit: links to supervisor ability, benevolence and integrityhttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-05-2023-0192/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSupply chain has long faced a persistent workforce shortage. To help both organizations and the field create environments that are more conducive to employee retention, the authors investigate the outcomes of supply chain employee trust in their supervisor. Applying person-environment fit theory, the authors evaluate the well-established antecedents to trust in supervisor ability, benevolence and integrity (ABI) relative to person-job (P-J) fit and person-vocation (P-V) fit of US supply chain employees. Confirmatory factor analysis indicates that ABI is best modeled as dimensions of a second-order formative trust construct rather than as its antecedents. However, PLS-SEM provides somewhat unconvincing support for the impacts of ABI-trust. Instead, qualitative comparative analysis (QCA) delineates that all three ABI dimensions are not always needed for P-J and P-V fit in supply chain. Some employees respond to affective-based (i.e. benevolence) trust and others to cognitive-based (i.e. ability and integrity) trust. The QCA results offer specific recommendations for supply chain organizations to enhance employee trust in supervisors to succeed in the struggle for labor. The results counter extant trust theory, encouraging scholars to consider ABI as distinct dimensions of trust. The study also demonstrates the importance of considering QCA in supply chain research to meaningfully expand contributions to theory and practice.Supply chain job and vocational fit: links to supervisor ability, benevolence and integrity
James A. Meurs, Graham H. Lowman, David M. Gligor, Michael J. Maloni
International Journal of Physical Distribution & Logistics Management, Vol. 54, No. 1, pp.118-135

Supply chain has long faced a persistent workforce shortage. To help both organizations and the field create environments that are more conducive to employee retention, the authors investigate the outcomes of supply chain employee trust in their supervisor.

Applying person-environment fit theory, the authors evaluate the well-established antecedents to trust in supervisor ability, benevolence and integrity (ABI) relative to person-job (P-J) fit and person-vocation (P-V) fit of US supply chain employees.

Confirmatory factor analysis indicates that ABI is best modeled as dimensions of a second-order formative trust construct rather than as its antecedents. However, PLS-SEM provides somewhat unconvincing support for the impacts of ABI-trust. Instead, qualitative comparative analysis (QCA) delineates that all three ABI dimensions are not always needed for P-J and P-V fit in supply chain. Some employees respond to affective-based (i.e. benevolence) trust and others to cognitive-based (i.e. ability and integrity) trust.

The QCA results offer specific recommendations for supply chain organizations to enhance employee trust in supervisors to succeed in the struggle for labor.

The results counter extant trust theory, encouraging scholars to consider ABI as distinct dimensions of trust. The study also demonstrates the importance of considering QCA in supply chain research to meaningfully expand contributions to theory and practice.

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Supply chain job and vocational fit: links to supervisor ability, benevolence and integrity10.1108/IJPDLM-05-2023-0192International Journal of Physical Distribution & Logistics Management2024-01-12© 2023 Emerald Publishing LimitedJames A. MeursGraham H. LowmanDavid M. GligorMichael J. MaloniInternational Journal of Physical Distribution & Logistics Management5412024-01-1210.1108/IJPDLM-05-2023-0192https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-05-2023-0192/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Integrating mobile parcel lockers into last-mile delivery networks: an operational design for home delivery, stationary, and mobile parcel lockershttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-01-2023-0055/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe e-commerce boom presents new challenges for last-mile delivery (LMD), which may be mitigated by new delivery technologies. This paper evaluates the impact of mobile parcel lockers (MPL) on costs and CO2 equivalent (CO2e) emissions in existing LMD networks, which include home delivery and shipments to stationary parcel lockers. To describe customers’ preferences, we design a multinomial logit model based on recipients’ travel distance to pick-up locations and availability at home. Based on route cost estimation, we define the operating costs for MPLs. We devise a mathematical model with binary decision variables to optimize the location of MPLs. Our study demonstrates that integrating MPLs leads to additional cost savings of 8.7% and extra CO2e emissions savings of up to 5.4%. Our analysis of several regional clusters suggests that MPLs yield benefits in highly populous cities but may result in additional emissions in more rural areas where recipients drive longer distances to pick-ups. This paper designs a suitable operating model for MPLs and demonstrates environmental and economic savings. Moreover, it adds recipients’ availability at home to receive parcels improving the accuracy of stochastic demand. In addition, MPLs are evaluated in the context of several regional clusters ranging from large cities to rural areas. Thus, we provide managerial guidance to logistics service providers how and where to deploy MPLs.Integrating mobile parcel lockers into last-mile delivery networks: an operational design for home delivery, stationary, and mobile parcel lockers
Marcel Peppel, Stefan Spinler, Matthias Winkenbach
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The e-commerce boom presents new challenges for last-mile delivery (LMD), which may be mitigated by new delivery technologies. This paper evaluates the impact of mobile parcel lockers (MPL) on costs and CO2 equivalent (CO2e) emissions in existing LMD networks, which include home delivery and shipments to stationary parcel lockers.

To describe customers’ preferences, we design a multinomial logit model based on recipients’ travel distance to pick-up locations and availability at home. Based on route cost estimation, we define the operating costs for MPLs. We devise a mathematical model with binary decision variables to optimize the location of MPLs.

Our study demonstrates that integrating MPLs leads to additional cost savings of 8.7% and extra CO2e emissions savings of up to 5.4%. Our analysis of several regional clusters suggests that MPLs yield benefits in highly populous cities but may result in additional emissions in more rural areas where recipients drive longer distances to pick-ups.

This paper designs a suitable operating model for MPLs and demonstrates environmental and economic savings. Moreover, it adds recipients’ availability at home to receive parcels improving the accuracy of stochastic demand. In addition, MPLs are evaluated in the context of several regional clusters ranging from large cities to rural areas. Thus, we provide managerial guidance to logistics service providers how and where to deploy MPLs.

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Integrating mobile parcel lockers into last-mile delivery networks: an operational design for home delivery, stationary, and mobile parcel lockers10.1108/IJPDLM-01-2023-0055International Journal of Physical Distribution & Logistics Management2024-03-14© 2024 Emerald Publishing LimitedMarcel PeppelStefan SpinlerMatthias WinkenbachInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2024-03-1410.1108/IJPDLM-01-2023-0055https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-01-2023-0055/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Exploring the impact of rider–driver ethnicity match/mismatch in ride-hailinghttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-01-2023-0056/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDrawing on the social identity theory, this paper explores the impact of rider–driver ethnicity match on the driver’s expected ride satisfaction and willingness to perform, and rider’s trust on the driver. The study relies on scenario-based online experiments with 291 ride-hailing drivers and 282 riders in the USA. The findings indicate that ethnicity match between ride-hailing drivers and riders positively impact driver’s ride satisfaction and willingness to perform, and rider’s trust in the driver. The study also revealed a significant positive moderation effect of ethnic identity on the relationship of ethnicity match and those constructs. While it may be challenging to influence an individual’s level of ethnic identity, managers can take steps to educate and train their employees regarding the impact of ethnic identity and discrimination, with a particular focus on those individuals who possess a strong sense of ethnic identity. The findings of this research provide theoretical contributions to the existing literature on ride-hailing services and adds to the limited stream of logistics research that examines the impact of ethnicity on ride-hailing operations.Exploring the impact of rider–driver ethnicity match/mismatch in ride-hailing
Yavuz Idug, David Gligor, Jamie Porchia, Suman Niranjan, Ila Manuj, David R. Nowicki
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Drawing on the social identity theory, this paper explores the impact of rider–driver ethnicity match on the driver’s expected ride satisfaction and willingness to perform, and rider’s trust on the driver.

The study relies on scenario-based online experiments with 291 ride-hailing drivers and 282 riders in the USA.

The findings indicate that ethnicity match between ride-hailing drivers and riders positively impact driver’s ride satisfaction and willingness to perform, and rider’s trust in the driver. The study also revealed a significant positive moderation effect of ethnic identity on the relationship of ethnicity match and those constructs.

While it may be challenging to influence an individual’s level of ethnic identity, managers can take steps to educate and train their employees regarding the impact of ethnic identity and discrimination, with a particular focus on those individuals who possess a strong sense of ethnic identity.

The findings of this research provide theoretical contributions to the existing literature on ride-hailing services and adds to the limited stream of logistics research that examines the impact of ethnicity on ride-hailing operations.

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Exploring the impact of rider–driver ethnicity match/mismatch in ride-hailing10.1108/IJPDLM-01-2023-0056International Journal of Physical Distribution & Logistics Management2024-02-01© 2024 Emerald Publishing LimitedYavuz IdugDavid GligorJamie PorchiaSuman NiranjanIla ManujDavid R. NowickiInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2024-02-0110.1108/IJPDLM-01-2023-0056https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-01-2023-0056/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
“Hello, this is your AI co-pilot” – operational implications of artificial intelligence chatbotshttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-01-2024-0031/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis editorial for the 6th World Conference on Production and Operations Management (P&OM) 2022 Special Issue delves into the transformative role of advanced artificial intelligence (AI)-driven chatbots in reshaping operations, supply chain management and logistics (OSCM). It aligns with the conference’s theme of exploring the intersection between P&OM and strategy during the Technological Revolution. Utilizing a conceptual approach, this paper introduces the “ERI Framework,” a tool designed to evaluate the impact of AI-driven chatbots in three critical operational dimensions: efficiency (E), responsiveness (R) and intelligence (I). This framework is grounded in disruptive debottlenecking theory and real-world applications, offering a novel structure for analysis. The conceptual analysis suggests immediate benefits of chatbots in enhancing decision-making and resource allocation, thereby alleviating operational bottlenecks. However, it sees challenges such as workforce adaptation and potential impacts on creativity and sustainability. The paper suggests that while chatbots present opportunities for optimizing operational processes, organizations must thoughtfully address the emerging challenges to maintain productivity and foster innovation. Strategic implementation and employee training are highlighted as key factors for successful integration. Bridging the gap between the burgeoning proliferation of chatbots and their practical implications in OSCM, this paper offers a first perspective on the role of AI chatbots in modern business environments. By providing insights into both the benefits and challenges of chatbot integration, it offers a preliminary view essential for academics and practitioners in the digital age.“Hello, this is your AI co-pilot” – operational implications of artificial intelligence chatbots
Christian F. Durach, Leopoldo Gutierrez
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This editorial for the 6th World Conference on Production and Operations Management (P&OM) 2022 Special Issue delves into the transformative role of advanced artificial intelligence (AI)-driven chatbots in reshaping operations, supply chain management and logistics (OSCM). It aligns with the conference’s theme of exploring the intersection between P&OM and strategy during the Technological Revolution.

Utilizing a conceptual approach, this paper introduces the “ERI Framework,” a tool designed to evaluate the impact of AI-driven chatbots in three critical operational dimensions: efficiency (E), responsiveness (R) and intelligence (I). This framework is grounded in disruptive debottlenecking theory and real-world applications, offering a novel structure for analysis.

The conceptual analysis suggests immediate benefits of chatbots in enhancing decision-making and resource allocation, thereby alleviating operational bottlenecks. However, it sees challenges such as workforce adaptation and potential impacts on creativity and sustainability.

The paper suggests that while chatbots present opportunities for optimizing operational processes, organizations must thoughtfully address the emerging challenges to maintain productivity and foster innovation. Strategic implementation and employee training are highlighted as key factors for successful integration.

Bridging the gap between the burgeoning proliferation of chatbots and their practical implications in OSCM, this paper offers a first perspective on the role of AI chatbots in modern business environments. By providing insights into both the benefits and challenges of chatbot integration, it offers a preliminary view essential for academics and practitioners in the digital age.

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“Hello, this is your AI co-pilot” – operational implications of artificial intelligence chatbots10.1108/IJPDLM-01-2024-0031International Journal of Physical Distribution & Logistics Management2024-03-22© 2024 Emerald Publishing LimitedChristian F. DurachLeopoldo GutierrezInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2024-03-2210.1108/IJPDLM-01-2024-0031https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-01-2024-0031/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Quantum-inspired computing technology in operations and logistics managementhttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-02-2023-0065/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to explore and disseminate knowledge about quantum-inspired computing technology's potential to solve complex challenges faced by the operational agility capability in Industry 4.0 manufacturing and logistics operations. A multi-case study approach is used to determine the impact of quantum-inspired computing technology in manufacturing and logistics processes from the supplier perspective. A literature review provides the basis for a framework to identify a set of flexibility and agility operational capabilities enabled by Industry 4.0 Information and Digital Technologies. The use cases are analyzed in depth, first individually and then jointly. Study results suggest that quantum-inspired computing technology has the potential to harness and boost companies' operational flexibility to enhance operational agility in manufacturing and logistics operations management, particularly in the Industry 4.0 context. An exploratory model is proposed to explain the relationships between quantum-inspired computing technology and the deployment of operational agility capabilities. This is study explores the use of quantum-inspired computing technology in Industry 4.0 operations management and contributes to understanding its potential to enable operational agility capability in manufacturing and logistics operations.Quantum-inspired computing technology in operations and logistics management
Miguel Núñez-Merino, Juan Manuel Maqueira-Marín, José Moyano-Fuentes, Carlos Alberto Castaño-Moraga
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to explore and disseminate knowledge about quantum-inspired computing technology's potential to solve complex challenges faced by the operational agility capability in Industry 4.0 manufacturing and logistics operations.

A multi-case study approach is used to determine the impact of quantum-inspired computing technology in manufacturing and logistics processes from the supplier perspective. A literature review provides the basis for a framework to identify a set of flexibility and agility operational capabilities enabled by Industry 4.0 Information and Digital Technologies. The use cases are analyzed in depth, first individually and then jointly.

Study results suggest that quantum-inspired computing technology has the potential to harness and boost companies' operational flexibility to enhance operational agility in manufacturing and logistics operations management, particularly in the Industry 4.0 context. An exploratory model is proposed to explain the relationships between quantum-inspired computing technology and the deployment of operational agility capabilities.

This is study explores the use of quantum-inspired computing technology in Industry 4.0 operations management and contributes to understanding its potential to enable operational agility capability in manufacturing and logistics operations.

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Quantum-inspired computing technology in operations and logistics management10.1108/IJPDLM-02-2023-0065International Journal of Physical Distribution & Logistics Management2024-02-06© 2024 Emerald Publishing LimitedMiguel Núñez-MerinoJuan Manuel Maqueira-MarínJosé Moyano-FuentesCarlos Alberto Castaño-MoragaInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2024-02-0610.1108/IJPDLM-02-2023-0065https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-02-2023-0065/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Exploring how retail and logistics service provider managers make sense of sustainability in last mile deliveryhttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-02-2023-0073/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAn increasing number of last mile deliveries (LMDs) pose many sustainability challenges that retailers and logistics service providers (LSPs) can address. Using cognitive frames (CFs) as a lens, this study explored how retail and LSP managers make sense of sustainable LMDs. The methodological approach used is a multiple embedded case study. The data were obtained from interviews with retailers and LSPs, supplemented with secondary data for triangulation. The findings present the operational aspects of LMDs that managers associate with sustainability and indicate that retail and LSP managers frame sustainability primarily as emission reduction. Managers indicate an externalization of responsibility and a compartmentalization of the supply chain, in which social sustainability is not associated with the last mile. Most managers indicate hierarchical CFs regarding sustainability, in which sustainability is an important topic but is subordinate to economic interests. Collaboration between retailers, LSPs and other stakeholders is viewed as challenging but could alleviate some of the sustainability shortcomings and aid in the paradoxical framing and inclusion of social issues. A conceptualization of managerial CFs for sustainable LMDs, together with empirical frame indicators and three propositions, is presented, providing novel insights into how paradoxical CFs could make LMDs more sustainable. This approach illuminates the possibilities for how to untangle the operational manifestations of managerial framing and adds to the empirical exploration of CFs in supply chain management.Exploring how retail and logistics service provider managers make sense of sustainability in last mile delivery
Helleke Heikkinen
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

An increasing number of last mile deliveries (LMDs) pose many sustainability challenges that retailers and logistics service providers (LSPs) can address. Using cognitive frames (CFs) as a lens, this study explored how retail and LSP managers make sense of sustainable LMDs.

The methodological approach used is a multiple embedded case study. The data were obtained from interviews with retailers and LSPs, supplemented with secondary data for triangulation.

The findings present the operational aspects of LMDs that managers associate with sustainability and indicate that retail and LSP managers frame sustainability primarily as emission reduction. Managers indicate an externalization of responsibility and a compartmentalization of the supply chain, in which social sustainability is not associated with the last mile. Most managers indicate hierarchical CFs regarding sustainability, in which sustainability is an important topic but is subordinate to economic interests.

Collaboration between retailers, LSPs and other stakeholders is viewed as challenging but could alleviate some of the sustainability shortcomings and aid in the paradoxical framing and inclusion of social issues.

A conceptualization of managerial CFs for sustainable LMDs, together with empirical frame indicators and three propositions, is presented, providing novel insights into how paradoxical CFs could make LMDs more sustainable. This approach illuminates the possibilities for how to untangle the operational manifestations of managerial framing and adds to the empirical exploration of CFs in supply chain management.

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Exploring how retail and logistics service provider managers make sense of sustainability in last mile delivery10.1108/IJPDLM-02-2023-0073International Journal of Physical Distribution & Logistics Management2024-02-26© 2024 Helleke HeikkinenHelleke HeikkinenInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2024-02-2610.1108/IJPDLM-02-2023-0073https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-02-2023-0073/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Helleke Heikkinenhttp://creativecommons.org/licences/by/4.0/legalcode
Comparing flexibility-based measures during different disruptions: evidence from maritime supply chainshttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-02-2023-0075/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSevere disruptions to maritime supply chains, including port closures, congestion and shortages in shipping capacity, have occurred during the COVID-19 pandemic. This paper’s purpose is to explore flexibility-based countermeasures that enable actors in maritime supply chains to mitigate the effects of disruptions with different characteristics. Semi-structured interviews were conducted with shipping lines, shippers, forwarders and ports. Data on the COVID-19 pandemic's effects and countermeasures were collected and compared with data regarding the 2016–2017 Gothenburg port conflict. Spatial, capacity, service and temporal flexibility emerged as the primary countermeasures, whilst important characteristics of disruptions were geographical spread, duration, uncertainty, criticality, the element of surprise and intensity. Spatial flexibility was exercised in both disruptions by switching to alternative ports. During the COVID-19 pandemic, ensuring capacity flexibility included first removing and then adding vessels. Shipping lines exercising service flexibility prioritised certain cargo, which made the spot market uncertain and reduced flexibility for forwarders, importers and exporters that changed carriers or traffic modes. Experience with disruptions meant less surprise and better preparation for spatial flexibility. Understanding how actors in maritime supply chains exercise flexibility-based countermeasures amid disruptions with different characteristics can support preparedness for coming disruptions. Comparing flexibility-based measures in a pandemic versus port conflict provides insights into the important characteristics of disruptions and the relevance of mitigation strategies. The resilience of maritime supply chains, although underexamined compared with manufacturing supply chains, is essential for maintaining global supply chain flows.Comparing flexibility-based measures during different disruptions: evidence from maritime supply chains
Sara Rogerson, Martin Svanberg, Ceren Altuntas Vural, Sönke von Wieding, Johan Woxenius
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Severe disruptions to maritime supply chains, including port closures, congestion and shortages in shipping capacity, have occurred during the COVID-19 pandemic. This paper’s purpose is to explore flexibility-based countermeasures that enable actors in maritime supply chains to mitigate the effects of disruptions with different characteristics.

Semi-structured interviews were conducted with shipping lines, shippers, forwarders and ports. Data on the COVID-19 pandemic's effects and countermeasures were collected and compared with data regarding the 2016–2017 Gothenburg port conflict.

Spatial, capacity, service and temporal flexibility emerged as the primary countermeasures, whilst important characteristics of disruptions were geographical spread, duration, uncertainty, criticality, the element of surprise and intensity. Spatial flexibility was exercised in both disruptions by switching to alternative ports. During the COVID-19 pandemic, ensuring capacity flexibility included first removing and then adding vessels. Shipping lines exercising service flexibility prioritised certain cargo, which made the spot market uncertain and reduced flexibility for forwarders, importers and exporters that changed carriers or traffic modes. Experience with disruptions meant less surprise and better preparation for spatial flexibility.

Understanding how actors in maritime supply chains exercise flexibility-based countermeasures amid disruptions with different characteristics can support preparedness for coming disruptions.

Comparing flexibility-based measures in a pandemic versus port conflict provides insights into the important characteristics of disruptions and the relevance of mitigation strategies. The resilience of maritime supply chains, although underexamined compared with manufacturing supply chains, is essential for maintaining global supply chain flows.

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Comparing flexibility-based measures during different disruptions: evidence from maritime supply chains10.1108/IJPDLM-02-2023-0075International Journal of Physical Distribution & Logistics Management2024-02-02© 2024 Sara Rogerson, Martin Svanberg, Ceren Altuntas Vural, Sönke von Wieding and Johan WoxeniusSara RogersonMartin SvanbergCeren Altuntas VuralSönke von WiedingJohan WoxeniusInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2024-02-0210.1108/IJPDLM-02-2023-0075https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-02-2023-0075/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Sara Rogerson, Martin Svanberg, Ceren Altuntas Vural, Sönke von Wieding and Johan Woxeniushttp://creativecommons.org/licences/by/4.0/legalcode
Operational performance of light electric freight vehicles in the last mile: two Nordic case studieshttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-02-2023-0079/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTo assess the introduction and performance of light electric freight vehicles (LEFVs), more specifically cargo cycles in major 3PL organizations in at least two Nordic countries. Case studies. Interviews. Company data on performance before as well as after the introduction. Study of differing business models as well as operational setups. The results from the studied cases show that LEFVs can compete with conventional vans in last mile delivery operations of e-commerce parcels. We account for when this might be the case, during which circumstances and why. Inherent limitations of the case study approach, specifically on generalization. Future research to include more public–private partnership and multi-actor approach for scalability. Adding to knowledge on the public sector facilitation necessary to succeed with implementation and identifying cases in which LEFVs might offer efficiency gains over more traditional delivery vehicles. One novelty is the access to detailed data from before the implementation of new vehicles and the data after the implementation. A fair comparison is made possible by the operational structure, area of delivery, number of customers, customer density, type of packages, and to some extent, the number of packages being quite similar. Additionally, we provide data showing how city hubs can allow cargo cycles to work synergistically with delivery vans. This is valuable information for organizations thinking of trying LEFVs in operations as well as municipalities/local authorities that are interested.Operational performance of light electric freight vehicles in the last mile: two Nordic case studies
Niklas Arvidsson, Howard Twaddell Weir IV, Tale Orving
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

To assess the introduction and performance of light electric freight vehicles (LEFVs), more specifically cargo cycles in major 3PL organizations in at least two Nordic countries.

Case studies. Interviews. Company data on performance before as well as after the introduction. Study of differing business models as well as operational setups.

The results from the studied cases show that LEFVs can compete with conventional vans in last mile delivery operations of e-commerce parcels. We account for when this might be the case, during which circumstances and why.

Inherent limitations of the case study approach, specifically on generalization. Future research to include more public–private partnership and multi-actor approach for scalability.

Adding to knowledge on the public sector facilitation necessary to succeed with implementation and identifying cases in which LEFVs might offer efficiency gains over more traditional delivery vehicles.

One novelty is the access to detailed data from before the implementation of new vehicles and the data after the implementation. A fair comparison is made possible by the operational structure, area of delivery, number of customers, customer density, type of packages, and to some extent, the number of packages being quite similar. Additionally, we provide data showing how city hubs can allow cargo cycles to work synergistically with delivery vans. This is valuable information for organizations thinking of trying LEFVs in operations as well as municipalities/local authorities that are interested.

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Operational performance of light electric freight vehicles in the last mile: two Nordic case studies10.1108/IJPDLM-02-2023-0079International Journal of Physical Distribution & Logistics Management2024-03-21© 2024 Niklas Arvidsson, Howard Twaddell Weir IV and Tale OrvingNiklas ArvidssonHoward Twaddell Weir IVTale OrvingInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2024-03-2110.1108/IJPDLM-02-2023-0079https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-02-2023-0079/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Niklas Arvidsson, Howard Twaddell Weir IV and Tale Orvinghttp://creativecommons.org/licences/by/4.0/legalcode
Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: a structured literature reviewhttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-06-2023-0200/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to evaluate the usage of partial least squares structural equation modeling (PLS-SEM) in journals related to logistics and supply chain management (LSCM). Based on a structured literature review approach, the authors reviewed 401 articles in the field of LSCM applying PLS-SEM published in 15 major journals between 2014 and 2022. The analysis focused on reasons for using PLS-SEM, measurement model and structural model evaluation criteria, advanced analysis techniques and reporting practices. LSCM researchers sometimes did not clarify the reasons for using PLS-SEM, such as sample size, complex models and non-normal distributions. Additionally, most articles exhibit limited use of measurement models and structural model evaluation techniques, leading to inappropriate use of assessment criteria. Furthermore, progress in the practical implementation of advanced analysis techniques is slow, and there is a need for improved transparency in reporting analysis algorithms. This study contributes to the field of LSCM by providing clear criteria and steps for using PLS-SEM, enriching the understanding and advancement of research methodologies in this field.Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: a structured literature review
Siqi Wang, Jun-Hwa Cheah, Chee Yew Wong, T. Ramayah
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to evaluate the usage of partial least squares structural equation modeling (PLS-SEM) in journals related to logistics and supply chain management (LSCM).

Based on a structured literature review approach, the authors reviewed 401 articles in the field of LSCM applying PLS-SEM published in 15 major journals between 2014 and 2022. The analysis focused on reasons for using PLS-SEM, measurement model and structural model evaluation criteria, advanced analysis techniques and reporting practices.

LSCM researchers sometimes did not clarify the reasons for using PLS-SEM, such as sample size, complex models and non-normal distributions. Additionally, most articles exhibit limited use of measurement models and structural model evaluation techniques, leading to inappropriate use of assessment criteria. Furthermore, progress in the practical implementation of advanced analysis techniques is slow, and there is a need for improved transparency in reporting analysis algorithms.

This study contributes to the field of LSCM by providing clear criteria and steps for using PLS-SEM, enriching the understanding and advancement of research methodologies in this field.

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Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: a structured literature review10.1108/IJPDLM-06-2023-0200International Journal of Physical Distribution & Logistics Management2023-09-26© 2023 Emerald Publishing LimitedSiqi WangJun-Hwa CheahChee Yew WongT. RamayahInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2023-09-2610.1108/IJPDLM-06-2023-0200https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-06-2023-0200/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Evaluating spatial inequity in last-mile delivery: a national analysishttps://www.emerald.com/insight/content/doi/10.1108/IJPDLM-08-2023-0301/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDespite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis. The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs). Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations. Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.Evaluating spatial inequity in last-mile delivery: a national analysis
Travis Fried, Anne Victoria Goodchild, Ivan Sanchez-Diaz, Michael Browne
International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis.

The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs).

Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations.

Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.

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Evaluating spatial inequity in last-mile delivery: a national analysis10.1108/IJPDLM-08-2023-0301International Journal of Physical Distribution & Logistics Management2024-03-28© 2024 Travis Fried, Anne Victoria Goodchild, Ivan Sanchez-Diaz and Michael BrowneTravis FriedAnne Victoria GoodchildIvan Sanchez-DiazMichael BrowneInternational Journal of Physical Distribution & Logistics Managementahead-of-printahead-of-print2024-03-2810.1108/IJPDLM-08-2023-0301https://www.emerald.com/insight/content/doi/10.1108/IJPDLM-08-2023-0301/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Travis Fried, Anne Victoria Goodchild, Ivan Sanchez-Diaz and Michael Brownehttp://creativecommons.org/licences/by/4.0/legalcode