International Journal of Physical Distribution & Logistics Management最新文献

{"title":"A resource-based perspective of the interplay between organizational learning and supply chain resilience","authors":"E. Eryarsoy, A. Özer Torgalöz, M. F. Acar, S. Zaim","doi":"10.1108/ijpdlm-07-2021-0299","DOIUrl":"https://doi.org/10.1108/ijpdlm-07-2021-0299","url":null,"abstract":"PurposeThe aim of this article is to shed light on the impact of intangible resources, such as organizational learning (OL), organizational agility (OA) and organizational innovativeness (OI), on supply chain resilience (SCR). For this, a theoretical model is developed to analyze the development of relationships between chosen resource variables.Design/methodology/approachThis study is based on a cross-sectional questionnaire. Survey data were collected from 180 businesses including only medium to senior level managers to ensure a thorough understanding about the company's inner workings and supply chain (SC). The validity of the model is determined using structural equation modeling (SEM) and tested using lavaan package in R.FindingsThe findings indicate a statistically significant relationship between OL and SCR. Two organizational resource constructs, OI and OA, are found to have a strong mediating effect on this relationship. OL ability mediated by OA and OI results in increased SCR.Research limitations/implicationsThe data cover multiple sectors but are collected from one country. The dataset is also limited in that it is collected from mid- to high-level managers working on manufacturing and supply chain-related departments.Practical implicationsThe authors believe that the results of this study will guide both managers and academics in developing effective measures to avoid SC disruptions due to the Covid-19 pandemic or other comparable risks.Originality/valueThis is the first study that examines the relationship between OL and SCR. Prior studies have examined the relationship between OA and SCR. However, OL and OI, in particular, have not featured frequently in SCR-related studies. In this regard, this research is also unique in that it examines the mediating role of OA and OI in the relationship between OL and SCR.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115460287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A large-scale real-world comparative study using pre-COVID lockdown and post-COVID lockdown data on predicting shipment times of therapeutics in e-pharmacy supply chains","authors":"Mahesh Babu Mariappan, K. Devi, Yegnanarayanan Venkataraman, S. Fosso Wamba","doi":"10.1108/ijpdlm-05-2021-0192","DOIUrl":"https://doi.org/10.1108/ijpdlm-05-2021-0192","url":null,"abstract":"PurposeThe purpose of this study is to present a large-scale real-world comparative study using pre-COVID lockdown data versus post-COVID lockdown data on predicting shipment times of therapeutic supplies in e-pharmacy supply chains and show that our proposed methodology is robust to lockdown effects.Design/methodology/approachThe researchers used organic data of over 5.9 million records of therapeutic shipments, with 2.87 million records collected pre-COVID lockdown and 3.03 million records collected post-COVID lockdown. The researchers built various Machine Learning (ML) classifier models on the two datasets, namely, Random Forest (RF), Extra Trees (XRT), Decision Tree (DT), Multi-Layer Perceptron (MLP), XGBoost (XGB), CatBoost (CB), Linear Stochastic Gradient Descent (SGD) and the Linear Naïve Bayes (NB). Then, the researchers stacked these base models and built meta models on top of them. Further, the researchers performed a detailed comparison of the performances of ML models on pre-COVID lockdown and post-COVID lockdown datasets.FindingsThe proposed approach attains performance of 93.5% on real-world post-COVID lockdown data and 91.35% on real-world pre-COVID lockdown data. In contrast, the turn-around times (TAT) provided by therapeutic supply logistics providers are 62.91% accurate compared to reality in post-COVID lockdown times and 73.68% accurate compared to reality pre-COVID lockdown times. Hence, it is clear that while the TAT provided by logistics providers has deteriorated in the post-pandemic business climate, the proposed method is robust to handle pandemic lockdown effects on e-pharmacy supply chains.Research limitations/implicationsThe implication of the study provides a novel ML-based framework for predicting the shipment times of therapeutics, diagnostics and vaccines, and it is robust to COVID-19 lockdown effects.Practical implicationsE-pharmacy companies can readily adopt the proposed approach to enhance their supply chain management (SCM) capabilities and build resilience during COVID lockdown times.Originality/valueThe present study is one of the first to perform a large-scale real-world comparative analysis on predicting therapeutic supply shipment times in the e-pharmacy supply chain with novel ML ensemble stacking, obtaining robust results in these COVID lockdown times.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130158926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forming post-COVID supply chains: does supply chain managers' social network affect resilience?","authors":"Ethan Nikookar, Yoshio Yanadori","doi":"10.1108/ijpdlm-05-2021-0167","DOIUrl":"https://doi.org/10.1108/ijpdlm-05-2021-0167","url":null,"abstract":"PurposeRethinking how to build resilience in supply chains is once again highlighted by COVID-19. Research on supply chain resilience has established flexibility as a firm-level antecedent that contributes to supply chain resilience. However, the authors know little about how supply chain flexibility is developed within a firm. Drawing on social capital theory, the authors claim that the way supply chain managers are embedded in their social networks plays a critical role in developing this antecedent. Specifically, the authors hypothesize that supply chain managers' structural and relational embeddedness in their reference network, comprised of individuals from whom they seek advice, is instrumental to developing supply chain flexibility, which subsequently enhances the firm's supply chain resilience.Design/methodology/approachSurvey data collected from 485 manufacturing firms in Australia and Hayes and Preacher's (2014) parallel multiple mediator model were employed to empirically test the hypotheses.FindingsThe findings of the study establish that supply chain managers' structural and relational embeddedness in their reference network indeed have implications for developing supply chain resilience. Furthermore, the mediator through which managers' social embeddedness influences supply chain resilience is identified in the current study.Originality/valueThe study contributes to the extant literature on supply chain resilience, investigating the role that supply chain managers' social capital play in developing the resilience of their firm.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130678380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Did COVID-19 change the rules of the game for supply chain resilience? The effects of learning culture and supplier trust","authors":"M. F. Acar, A. Özer Torgalöz, E. Eryarsoy, S. Zaim","doi":"10.1108/ijpdlm-05-2021-0204","DOIUrl":"https://doi.org/10.1108/ijpdlm-05-2021-0204","url":null,"abstract":"Purpose This paper aims to clarify the effects of learning culture and trust on supply chain resilience (SCR) and to investigate their role specifically during COVID-19 pandemic to aid decision-makers. For this, a conceptual model proposing relations between variables was developed. The focal point of this research is to investigate the relationship between organizational learning culture (OLC) and SCR, and the mediating effect of supplier trust (ST) in the relationship before and during a pandemic.Design/methodology/approach This study relies on a unique dataset collected through two separate cross-sectional surveys corresponding to pre- and during-pandemic times that were conducted at the same time. The questionnaire was collected from 245 medium- to senior-level managers, to ensure a thorough understanding about the company’s inner workings and supply chain (SC). To test the proposed research model, the authors processed their data and model using lavaan package in R.FindingsThe findings show that OLC and ST have positive and significant effects on SCR. Furthermore, learning culture also triggers ST. Thus, it is ST that explained, as a mediator, the positive effects of OLC on SCR. All these findings are similar for both before and after the pandemic. A critical finding is about the effect of size (small vs. large) and ownership (local vs. multinational). The analysis suggests that during pandemic multinational companies and larger organizations exhibit higher SCR than their counterparts.Research limitations/implications First, responses to the questionnaire were collected from only one country. Cross-cultural comparisons can be made by collecting data from different countries in future research. Second, the data were obtained from companies operating in different sectors, with a majority in manufacturing. It is possible to obtain more specific findings by analyzing responses from a specific industry. Third, results of this study reflect responses of only SC and manufacturing managers, but other departments such as marketing or finance can also complement the findings. Finally, several other organizational variables may be factored in as moderators to enrich the conceptual model.Practical implicationsThe authors believe that findings of this research will guide shareholders and managers to develop effective strategies in order to prevent SC disruptions during similar risk/shock scenarios.Originality/value Similar to earlier research, this study considers the importance of ST on SCR. But this study differs in analyzing the effects of OLC on SCR directly and in taking the mediating effect of ST into account. The authors test the strengths of these relationships individually before and during COVID-19 pandemic. Under pandemic conditions, the authors present empirical evidence on the effects of organizational learning and ST on SCR. In contrast to previous research on SCR, this study connotes the importance of an organization’s internal dynamic cap","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127151236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the causes of positive inventory discrepancies in retail stores","authors":"Julianne Best, C. Glock, E. Grosse, Y. Rekik, A. Syntetos","doi":"10.1108/ijpdlm-07-2021-0291","DOIUrl":"https://doi.org/10.1108/ijpdlm-07-2021-0291","url":null,"abstract":"PurposeEnsuring high on-shelf availability at low inventory costs remains an important challenge in retailing. Inaccurate inventory records, i.e. discrepancies between the stock records displayed in the inventory system and the stock quantity actually found in the retail store, have been identified as one of the most important drivers of retail stockouts in the past. The purpose of this work is to investigate the causes of positive inventory discrepancies in retailing, i.e. where there is more inventory on-hand than identified by the inventory system.Design/methodology/approachBased on input from retailers, the authors develop a simulation model of a retail store that considers various error-prone processes and study in a full factorial test design how the different operational errors may drive inventory discrepancies, paying special attention to the sources of positive inventory record inaccuracies.FindingsThis makes it possible to gain insights into the process parameters retailers need to adjust to avoid inventory records becoming inaccurate. In addition, the authors analyze how positive inventory discrepancies relate to stockouts to further our understanding of the role so-called phantom products may play in a retailing context.Originality/valueWhile negative inventory discrepancies (where the stock that is available in the store is less than what the system displays) and their sources (theft, shrinkage, etc.) have been discussed quite frequently in the literature, the causes of positive inventory discrepancies (where the available inventory exceeds the system inventory) have received much less attention.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"93 15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126041541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of team-member knowledge, skills and abilities (KSAs) and a common learning experience on sourcing teamwork effectiveness","authors":"J. Sanderson, Ali Esfahbodi, Chris Lonsdale","doi":"10.1108/ijpdlm-07-2021-0277","DOIUrl":"https://doi.org/10.1108/ijpdlm-07-2021-0277","url":null,"abstract":"PurposeA lack of sourcing-specific team research prevents a full understanding of sourcing teamwork effectiveness (STE). Moreover, the limited purchasing and supply management (PSM) team literature often tends to focus on an aggregate group level. The paper makes a step towards adopting an individual actor perspective on teamwork effectiveness with an emphasis on the context of sourcing, explicating the effects of team-member knowledge, skills and abilities (KSAs), and examining how these relationships are moderated by a common learning experience of strategic sourcing masterclass.Design/methodology/approachBased on a cross-sectional survey, this study analyses a sample of 90 sourcing team members from a global aerospace manufacturing company using hierarchical regression analysis.FindingsThe results suggest that four of the five KSAs positively and significantly affect STE; the exception was collaborative problem solving. Masterclass learning outcomes were found to positively moderate the effects of these KSAs on STE, again exclusive of the collaborative problem-solving KSA.Research limitations/implicationsCross-sectional design focused only on the aerospace sector may affect generalizability. Further, longitudinal research designs would capture the effects of the common learning experience over an extended period.Practical implicationsSourcing team members could be selected based on having KSAs which significantly affect teamwork effectiveness. Training and development for sourcing teams should combine guided reflexivity and cross-training to deliver learning outcomes that create similar team mental models.Originality/valueThe study provides an individual team-member perspective on the functioning of sourcing teams which is absent in the extant research. It contributes to the very limited research base on skills in PSM.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129980243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The interplay between relationships, technologies and organizational structures in enhancing supply chain resilience: empirical evidence from a Delphi study","authors":"Christoph Küffner, Matthias Kopyto, Annika Judith Wohlleber, E. Hartmann","doi":"10.1108/ijpdlm-07-2021-0303","DOIUrl":"https://doi.org/10.1108/ijpdlm-07-2021-0303","url":null,"abstract":"PurposeCOVID-19 has highlighted the need to reflect on how firms should improve their supply chains (SCs) to enhance agility and robustness. Recent studies focus more on the short-term rather than on the long-term developments and lack insights regarding the enhancement of supply chain resilience (SCRES) based on the interplay between multiple levers. Therefore, using a long-term perspective, this research evaluates the interaction between three SCRES levers – relationships, technologies and organizational structures – to improve SCRES.Design/methodology/approachBased on an extensive literature review, multiple interviews and workshops, 13 future projections were developed. These projections were assessed using a two-round Delphi study that included 83 international experts from industry, academia and politics/associations to determine the probability of occurrence by 2035, their impact on SCRES and their desirability.FindingsThis study provides empirical evidence that the long-term enhancement of SCRES is achieved through the interplay of multiple levers rather than unilateral optimization. The study suggests that, by 2035, collaboration between SC partners will be a key factor for SCRES enhancement. Additionally, SC stakeholders should be aware that failing to invest in digital technologies will negatively impact the agility and robustness of future SCs. Furthermore, humans are expected to continue to play a major role, given that relationship-oriented tasks are perceived to remain important.Originality/valueThis paper adds to current literature, describing how SCRES can be improved in the long term through the interplay of multiple levers and the combination of robust and agile elements. Considering the importance of ensuring resilient SCs, this paper provides valuable insights for academics and practitioners.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124303516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of optimal parcel locker locations on costs and the environment","authors":"Marcel Peppel, S. Spinler","doi":"10.1108/ijpdlm-07-2021-0287","DOIUrl":"https://doi.org/10.1108/ijpdlm-07-2021-0287","url":null,"abstract":"PurposeLast-mile delivery is associated with a negative environmental impact and high costs. The purpose of this paper is to develop an approach to designing stationary parcel locker (SPL) networks while minimizing both CO2 equivalent (CO2e) emissions and costs during delivery and pick-up.Design/methodology/approachThis study uses a multinomial logit model to evaluate recipients' willingness to use SPLs based on their availability at home and travel distance. To determine optimal SPL locations, this study formulates a mixed-integer linear programming model.FindingsThe empirical study of different regional clusters reveals that optimal SPL locations can generate cost savings of up to 11.0%. SPLs have a positive impact on total CO2e emission savings in urban areas (i.e. up to 2.5%), but give rise to additional emissions (i.e. 4.6%) in less populated areas due to longer travel distances during the pick-up process.Originality/valueThis paper optimizes SPL locations and the ecological effect of SPLs by minimizing emissions and costs simultaneously. Furthermore, it extends existing discrete choice models by also including recipients' availability at home, increasing the accuracy of recipients' preferences. So far, the effect of SPLs has been studied for metropolitan areas only. A global logistics service provider shared a real dataset which allows us to study seven different regional clusters ranging from rural areas to large cities. Thus, this study contributes to the field of sustainable urban logistics.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130845406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Product variety in retail: the moderating influence of demand variability","authors":"Kevin D. Sweeney, Jason M. Riley, Yongrui Duan","doi":"10.1108/ijpdlm-12-2020-0407","DOIUrl":"https://doi.org/10.1108/ijpdlm-12-2020-0407","url":null,"abstract":"PurposeThe paper aims to empirically investigate how demand variability impacts product category inventory levels and stockout rates of retail firms. Additionally, the moderating effect of product variety on these performance metrics is explored.Design/methodology/approachUsing data from 78 individual retail stores of a single firm located in China, the authors develop a three stage least squares regression model to examine the simultaneous impact of product variety and demand variability on product inventory levels and stockout rates.FindingsThe results indicate that product variety and demand variability both negatively influence product category inventory levels and stockout rates. However, contrary to results for manufacturing or distributor environments, product variety dampens the negative relationship between demand variability and inventory.Practical implicationsFor products or categories with a high amount of demand variability, retailers can leverage more product variety to help improve their inventory performance. This is likely due to product substitution behaviors.Originality/valueThe authors show that previously examined relationships between product variety, demand variability, and firm performance are different in the retail environment than in the manufacturing or distributor context.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126331527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disentangling the multifaceted effects of supply base complexity on supply chain agility and resilience","authors":"E. Delbufalo","doi":"10.1108/ijpdlm-07-2021-0302","DOIUrl":"https://doi.org/10.1108/ijpdlm-07-2021-0302","url":null,"abstract":"PurposeThe study investigates how supply base structural complexity influences both supply chain agility and resilience. It employs Normal Accident Theory and Portfolio Theory to disentangle the effects of three structural facets of complexity – numerousness; technical and functional diversity; geographical distribution of suppliers – on the two capabilities simultaneously.Design/methodology/approachThe study is grounded in the Italian footwear industry. 31 manufacturing firms with their global supply base have provided a cross-sectional time series database over a 10-year period (310 observations).FindingsThe results show that supply base numerousness has nonlinear effects on both supply chain agility and resilience. The directions of these effects are opposites. They also show that supply base diversity has an inverted U-shaped effect on supply chain agility while it is insignificant for resilience. Finally, the results show that suppliers' geographical dispersion is detrimental to both capabilities.Originality/valueThis is the first study that considers the multifaceted effects of supply base complexity on both supply chain agility and resilience. In doing so, it also sheds light on some of the most common trade-offs that firms address when they seek a balance between different strategies, such as increasing agility without damaging supply base resilience and vice versa. Considering the resource constraints firms normally face, by disentangling the dual effects of each complexity facet, this study helps decision-makers to develop scalability and leverage the supply base characteristics in order to survive and prosper in uncertain markets.","PeriodicalId":135362,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126865569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}