Dominic Loske, Riccardo Mangiaracina, Alberto Regattieri, Matthias Klumpp
{"title":"The Impact of Product Packaging Characteristics on Order Picking Performance in Grocery Retailing","authors":"Dominic Loske, Riccardo Mangiaracina, Alberto Regattieri, Matthias Klumpp","doi":"10.1111/jbl.12400","DOIUrl":"https://doi.org/10.1111/jbl.12400","url":null,"abstract":"<div>\u0000 \u0000 <p>Increasing labor cost levels and workforce shortages have caused retailers to pay increased attention to their order-fulfillment operations, which continue to largely depend on manual order picking systems. The operations and logistics management literature suggests that optimizing tertiary packaging, which groups products into full unit loads for storage and shipping, is an important way to improve order picking performance. While most retailers handle products at the level of secondary packaging when fulfilling orders, this packaging level remains largely unexplored. To address this gap, we analyze 3,380,596 picks performed by 185 order pickers of 4957 products in a grocery retail warehouse in Germany. Our findings indicate that secondary packaging characteristics directly affect order picking performance and that this effect is moderated by traditional product characteristics (e.g., product weight and volume), as well as elements of warehouse design (e.g., pick and stack levels). From a managerial perspective, our findings may help to bridge the gap between logistics managers and packaging engineers and provoke further research on the trade-off between operational and environmental performance.</p>\u0000 </div>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"46 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert Glenn Richey Jr., Soumyadeb Chowdhury, Beth Davis-Sramek, Mihalis Giannakis, Yogesh K. Dwivedi
{"title":"Artificial intelligence in logistics and supply chain management: A primer and roadmap for research","authors":"Robert Glenn Richey Jr., Soumyadeb Chowdhury, Beth Davis-Sramek, Mihalis Giannakis, Yogesh K. Dwivedi","doi":"10.1111/jbl.12364","DOIUrl":"https://doi.org/10.1111/jbl.12364","url":null,"abstract":"<p>The dawn of generative artificial intelligence (AI) has the potential to transform logistics and supply chain management radically. However, this promising innovation is met with a scholarly discourse grappling with an interplay between the promising capabilities and potential drawbacks. This conversation frequently includes dystopian forecasts of mass unemployment and detrimental repercussions concerning academic research integrity. Despite the current hype, existing research exploring the intersection between AI and the logistics and supply chain management (L&SCM) sector remains limited. Therefore, this editorial seeks to fill this void, synthesizing the potential applications of AI within the L&SCM domain alongside an analysis of the implementation challenges. In doing so, we propose a robust research framework as a primer and roadmap for future research. This will give researchers and organizations comprehensive insights and strategies to navigate the complex yet promising landscape of AI integration within the L&SCM domain.</p>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"44 4","pages":"532-549"},"PeriodicalIF":10.3,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbl.12364","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50147915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elena Pessot, Andrea Zangiacomi, Irene Marchiori, Rosanna Fornasiero
{"title":"Empowering supply chains with Industry 4.0 technologies to face megatrends","authors":"Elena Pessot, Andrea Zangiacomi, Irene Marchiori, Rosanna Fornasiero","doi":"10.1111/jbl.12360","DOIUrl":"10.1111/jbl.12360","url":null,"abstract":"<p>This paper investigates how current megatrends (i.e., aging population, growing urbanization, shifts in consumer demands, geopolitical shifts, depletion of natural resources, climate change) are changing the supply chain landscape and the role of Industry 4.0 (I4.0) technologies to support alignment with these changes. Building on contingency theory, the study employs focus-group interviews with various experts to generate new insights into fitting supply chain capabilities and enabling technologies. Data collected in the focus groups helped us to identify five supply chain capabilities as prevalent and mostly fitting the external contingencies, i.e., customer-driven, urban-centered, resource-efficient, fast reactive, and human-centered supply chain. Moreover, this study highlights and compares the potential of I4.0 technologies and their applications in supporting specific supply chain capabilities. The findings of this study can inform supply chain managers in the definition of capabilities to be enhanced at the supply chain level and contribute toward understanding the extent of I4.0 technologies in empowering supply chains to face turbulent and changing conditions.</p>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"44 4","pages":"609-640"},"PeriodicalIF":10.3,"publicationDate":"2023-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbl.12360","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47082052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alan M. Pritchard, Kevin D. Sweeney, Heidi Çelebi, Philip T. Evers
{"title":"The impact of stockout-based switching on fill rates","authors":"Alan M. Pritchard, Kevin D. Sweeney, Heidi Çelebi, Philip T. Evers","doi":"10.1111/jbl.12359","DOIUrl":"10.1111/jbl.12359","url":null,"abstract":"<p>The possibility of product substitution due to a stockout provides retailers with a buffer against lost sales but can also complicate the management of inventory because both substitute and primary demand affect inventory levels. Since most retailers make their inventory decisions around a desired service level (e.g., fill rate), it is important to understand how customer substitution behavior can influence different measures of customer service. In this study, an extensive theoretical framework is presented and used to develop a decision tree approach for predicting realized item and category fill rates. We find that item fill rate is primarily a function of the target service level of the focal item and the willingness to switch from an alternate item to the focal item. Category fill rate is influenced by the target service level of both items, with willingness to switch amplifying their effect. The decision tree approach is found to be an accurate predictor in most cases, however, it tends to overestimate item fill rate when the willingness to substitute from the alternate item increases. The approach also accurately predicts category fill rates, outside of scenarios with asymmetric substitutability.</p>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"44 4","pages":"741-763"},"PeriodicalIF":10.3,"publicationDate":"2023-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43410248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jason Miller, Andrew Balthrop, Beth Davis-Sramek, Robert Glenn Richey Jr
{"title":"Unobserved variables in archival research: Achieving both theoretical and statistical identification","authors":"Jason Miller, Andrew Balthrop, Beth Davis-Sramek, Robert Glenn Richey Jr","doi":"10.1111/jbl.12358","DOIUrl":"10.1111/jbl.12358","url":null,"abstract":"<p>A welcomed addition to the logistics and supply chain management (L&SCM) research landscape has been growth in the use of archival data, defined as data collected by an entity outside the research team (Miller et al., <span>2021</span>). Expansion in the use of archival data is stimulated by discussions concerning the generally accepted limitations of primary data research and related debate about when and how the use of primary data is appropriate (e.g., Montabon et al., <span>2018</span>; Schoenherr et al., <span>2015</span>). Concurrently, there has been recognition that research utilizing archival data opens new avenues of emphasis for L&SCM research in answering a wide array of questions. When archival data is generated from industry and operations (e.g., DeHoratius et al., <span>2022</span>), direct application may be enhanced. Additionally, archival data is highly accessible, which aids in both replication and extension (Pagell, <span>2021</span>).</p><p>As with every research design, archival data poses multiple limitations, and there are unique challenges as researchers employing the data are detached from the original collection process. Recent articles have tackled issues concerning how to establish strong validity claims for measures derived from archival sources (Miller et al., <span>2021</span>) and how to formulate statistical models that ensure theoretical hypotheses map to estimated parameters (Ketokivi et al., <span>2021</span>). We refer to this as <i>statistical identification</i>, which focuses on the confidence that an estimated statistical parameter (e.g., regression coefficient) is reasonably unbiased and not overly sensitive to changes in the structure of the statistical model. Possibly the greatest threat to statistical identification is the existence of one or more unmeasured variables that reside theoretically upstream or parallel to the independent variables. If included as predictors in a statistical model, these variables could be significantly related to the outcome variable. This is highly problematic if the estimates of the independent variables could shift substantially (Miller & Kulpa, <span>2022</span>). We see a significant amount of emphasis on this aspect of the research, and the general remedy involves utilizing a combination of control variables and performing robustness tests (sometimes in excessive numbers) to rule out alternative explanations.</p><p>One fundamental issue that has not been adequately addressed in L&SCM research is related to theorizing. Theorizing involves devising hypotheses that will be tested with this archival data. It is not enough to develop statistical models where there is a reasonable degree of confidence that focal parameters are statistically identified. It is just as important to provide evidence of <i>theoretical identification</i>, defined here as the existence of strong and convincing rationale(s) that the theorized mechanisms bring to the reported resu","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"44 3","pages":"292-299"},"PeriodicalIF":10.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbl.12358","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43128096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christian Hofer, Laura D'Oria, David E. Cantor, Xinyi Ren
{"title":"Competitive actions and supply chain relationships: How suppliers' value-diminishing actions affect buyers' procurement decisions","authors":"Christian Hofer, Laura D'Oria, David E. Cantor, Xinyi Ren","doi":"10.1111/jbl.12357","DOIUrl":"10.1111/jbl.12357","url":null,"abstract":"<p>While greater competitive activity is generally associated with competitive advantage, certain competitive actions by a supplier may have spillover effects that adversely impact buying firms, leading them to reduce future purchases from the supplier. We study the effects of competitive actions in the context of vertical buyer–supplier relationships. Specifically, leveraging insights from screening theory, we examine how a supplier firm's value-diminishing competitive actions—moves that may negatively impact buyer firms—lead to subsequent reductions in the buyer's procurement allocations and how contextual factors moderate such adverse effects. We test the associated hypotheses using a panel dataset comprising 12,690 dyadic buyer–supplier observations. A series of econometric analyses provide consistent evidence that a supplier's value-diminishing actions are associated with decreases in the buyer's purchases from the supplier, thus highlighting the “dark side” of competitive actions. Furthermore, we find that the supplier's downstream vertical relatedness and the degree to which rival suppliers pursue value-diminishing actions moderate this effect. Our findings, thus, add to our understanding of factors that shape the success and continuity of supply chain relationships and help supplier firms evaluate the economic viability of their competitive actions.</p>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"44 4","pages":"719-740"},"PeriodicalIF":10.3,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47891050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert Wiedmer, Mikaella Polyviou, John-Patrick Paraskevas
{"title":"Does global supply chain integration payoff? The case of maritime shipping firms","authors":"Robert Wiedmer, Mikaella Polyviou, John-Patrick Paraskevas","doi":"10.1111/jbl.12350","DOIUrl":"10.1111/jbl.12350","url":null,"abstract":"<p>Global supply chains operate in a volatile environment characterized by risks like the 2008–2009 financial crisis, trade disputes, and the COVID-19 pandemic. Maritime shipping firms, the backbone of global supply chains, are particularly affected by this volatility. In response, these firms have pursued two strategies. First, they have acquired tangible assets to increase their capacity. These assets, however, are neither easily re-deployable to other uses nor quickly adjustable, preventing firms from flexibly matching supply and demand. Second, these firms have pursued global supply chain integration by acquiring similar firms or firms in their upstream or downstream supply chain to diversify into other supply chain activities. Anecdotal evidence suggests that some firms have successfully pursued these strategies, but others have failed, eventually exiting the market. We posit that one explanation for this difference may be how effectively these firms manage their assets relative to their supply chain integration activities. We test this proposition by drawing from resource-based theory and transaction cost economics and using longitudinal data for 148 maritime shipping firms. We also test post hoc whether typically acquired supply chain activities are beneficial. Our findings offer insights into asset management and global supply chain integration and offer advice to practitioners.</p>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"45 1","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41994916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rebekah I. Brau, Nada R. Sanders, John Aloysius, Donnie Williams
{"title":"Utilizing people, analytics, and AI for decision making in the digitalized retail supply chain","authors":"Rebekah I. Brau, Nada R. Sanders, John Aloysius, Donnie Williams","doi":"10.1111/jbl.12355","DOIUrl":"10.1111/jbl.12355","url":null,"abstract":"<p>Our research reveals the continued and evolving role of the human factor in decision making in digitalized retail supply chains. We compare managerial roles in a pre- and post-COVID era through conducting in-depth interviews of 25 executives spanning the retail supply chain ecosystem. We use grounded theory to develop four main contributions. <i>First</i>, we find that the involvement of managerial judgment is found to be progressively greater moving up the retail supply chain, away from the customer and the demand signal. <i>Second</i>, integration of analytics and judgment is now the primary method of decision making, and we identify elements needed for success. <i>Third</i>, we develop an essential framework for a successful integration process. <i>Fourth</i>, we isolate the necessary components of a successful process for analytics/artificial intelligence (AI) implementation. Our paper offers important insights into how analytics and AI are—and should be used—in judgment and decision making and opportunities for researchers to understand the changing role of the human factor in digitalized retail supply chains.</p>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"45 1","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44522876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"You're driving me crazy! How emotions elicited by negative driver behaviors impact customer outcomes in last mile delivery","authors":"Nicolò Masorgo, Saif Mir, Adriana Rossiter Hofer","doi":"10.1111/jbl.12356","DOIUrl":"10.1111/jbl.12356","url":null,"abstract":"<p>With the growth of e-commerce and associated home deliveries, understanding the role of drivers in shaping the customer experience in last-mile delivery is now more crucial than ever. Delivery drivers increasingly act as retailers' frontline employees and are thus instrumental in developing pseudorelationships between customers and retailers. Industry surveys, however, reveal that drivers admit to engaging in unprofessional behaviors with customers and often refuse to address customers' requests beyond package delivery. Following a middle-range theorizing approach and leveraging Cognitive Appraisal Theory, we investigate how two negative driver behaviors, inappropriate behavior and inflexibility, impact customer satisfaction and repurchase intentions. We also examine the moderating effect of driver affiliation, private versus outsourced, in altering the magnitude of customer responses. Results from a scenario-based experiment indicate that while the negative effects of driver inappropriate behavior on customer outcomes are mediated by anger, the effects of driver inflexibility are mediated by sadness. Moreover, the negative effect of driver inflexibility on customer outcomes is weaker for outsourced logistics than for private fleet drivers. In turn, driver inappropriate behavior exhibits similar negative effects on customer outcomes for both driver affiliations. These findings offer important insights for last-mile delivery strategy and operations research and practice.</p>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"44 4","pages":"666-692"},"PeriodicalIF":10.3,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbl.12356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42266347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How do trucking companies respond to announced versus unannounced safety crackdowns? The case of government inspection blitzes","authors":"Andrew Balthrop, Alex Scott, Jason Miller","doi":"10.1111/jbl.12353","DOIUrl":"10.1111/jbl.12353","url":null,"abstract":"<p>Ensuring motor carriers comply with safety rules is critical to the efficient workings of supply chains and the safety of the motoring public. However, little is understood regarding how carriers respond to changes in the likelihood of inspection (a.k.a., “crackdowns”) undertaken by the Department of Transportation. Drawing on the regulatory compliance and criminology literature, we extend the rational cheater explanation that undergirds carrier safety research by incorporating principles from attention-based theory to devise new theoretical predictions regarding how carriers respond to announced versus unannounced inspection crackdowns. To test our theory, we rely on exogenous variation in the probability of inspection from the DOT's use of announced and unannounced inspection “blitzes.” We test predictions using a longitudinal dataset of nearly 10 million truck inspections from 2012 to 2016. We find firms with lower costs of compliance, and higher costs of avoiding inspections improve compliance prior to and during announced blitzes. Small firms with lower costs of avoidance tend to avoid announced blitzes. Unannounced blitzes result in no changes in compliance or avoidance, providing evidence that awareness is driving our results.</p>","PeriodicalId":48090,"journal":{"name":"Journal of Business Logistics","volume":"44 4","pages":"641-665"},"PeriodicalIF":10.3,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47722114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}