{"title":"From the Editors: Introduction to the Emerging Discourse Incubator on the Topic of Emerging Approaches for Developing Supply Chain Management Theory","authors":"Barbara Flynn, Mark Pagell, Brian Fugate","doi":"10.1111/jscm.12227","DOIUrl":"https://doi.org/10.1111/jscm.12227","url":null,"abstract":"<p>The <i>Journal of Supply Chain Management</i>’s 2020 Emerging Discourse Incubator hopes to stimulate the development of supply chain specific theory. Well-executed case-based research will always be an appropriate means for developing supply chain theory. However, this EDI seeks to highlight emerging approaches to theory building that provide alternatives to case-based research or can be used as a source of triangulation with it. To start that discourse, this issue offers three emergent approaches. In “Theorizing Supply Chains with Qualitative Big Data and Topic Modeling,” Tima Bansal, Jury Gualandris, and Nahyun Kim explore the application of topic modeling to develop supply chain theory from qualitative textual big data evidence. Anne Touboulic, Lucy McCarthy, and Lee Matthews illustrate the use of critical engaged research to develop supply chain theory in “Re-Imagining Supply Chain Challenges Through Critical Engaged Research.” In “A New Methodology for Supply Chain Management: Discourse Analysis and its Potential for Theoretical Advancement,” Cynthia Hardy, Vikram Bhakoo, and Steve Maguire describe the potential for discourse analysis for developing supply chain management theory. These are but a few examples of potential approaches to developing supply chain theory. We welcome submissions on additional approaches and sources of data that are used in other disciplines, but have yet to be applied in the context of developing supply chain theory, and submissions on approaches that are emergent in the social sciences, in general. <i>JSCM</i> welcomes submissions for this EDI through the end of 2020.</p>","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 2","pages":"3-6"},"PeriodicalIF":10.6,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12227","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6361705","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":"Re-imagining supply chain challenges through critical engaged research","authors":"Anne Touboulic, Lucy McCarthy, Lee Matthews","doi":"10.1111/jscm.12226","DOIUrl":"https://doi.org/10.1111/jscm.12226","url":null,"abstract":"<p>In this manuscript, we explore how engaged research can support the development of the theory and practice of supply chain management (SCM) and present critical engaged research as an extended form of engaged research. The article’s main purpose is to examine more closely the relationship between critical engaged research and the process of theorizing. This essay presents an expanded model of knowledge production for the field of SCM and explores the opportunities for the production and co-production of new knowledge types, with an emphasis on knowledge produced through a critical engagement with practice. We offer a discussion on how critical engaged research may be applied in SCM research to build, elaborate and test theory.</p>","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 2","pages":"36-51"},"PeriodicalIF":10.6,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12226","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6327417","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}
Pratima (Tima) Bansal, Jury Gualandris, Nahyun Kim
{"title":"Theorizing Supply Chains with Qualitative Big Data and Topic Modeling","authors":"Pratima (Tima) Bansal, Jury Gualandris, Nahyun Kim","doi":"10.1111/jscm.12224","DOIUrl":"https://doi.org/10.1111/jscm.12224","url":null,"abstract":"<p>The availability of Big Data has opened up opportunities to study supply chains. Whereas most scholars look to <i>quantitative</i> Big Data to build theoretical insights, in this paper we illustrate the value of <i>qualitative</i> Big Data. We begin by describing the nature and properties of qualitative Big Data. Then, we explain how one specific method, topic modeling, is particularly useful in theorizing supply chains. Topic modeling identifies co-occurring words in qualitative Big Data, which can reveal new constructs that are difficult to see in such volume of data. Analyzing the relationships among constructs or their descriptive content can help to understand and explain how supply chains emerge, function, and adapt over time. As topic modeling has not yet been used to theorize supply chains, we illustrate the use of this method and its relevance for future research by unpacking two papers published in organizational theory journals.</p>","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 2","pages":"7-18"},"PeriodicalIF":10.6,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12224","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6156441","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":"Interorganizational Interaction in Disaster Response Networks: A Government Perspective","authors":"Anne M. Quarshie, Rudolf Leuschner","doi":"10.1111/jscm.12225","DOIUrl":"https://doi.org/10.1111/jscm.12225","url":null,"abstract":"<p>Governments play important roles as focal organizations in many interorganizational networks. However, the government perspective has largely been overlooked in the literature on supply networks, including research on humanitarian operations and logistics. So far, little attention has been devoted to how government agencies and other actors interact within complex networks. In this study, we use a qualitative research approach to study interorganizational interaction in the context of a major U.S. disaster: Hurricane Sandy. Specifically, we investigate the relatively successful Sandy response effort conducted by the New Jersey state government in interaction with other humanitarian actors. We find that the government took three main roles in interacting with other actors within the disaster response network: organizer, facilitator, and supply network member. Moreover, we develop a grounded model that provides a theoretical explanation of the interaction process and highlights the practices used by the government during the response stage. In addition to contributing to the humanitarian research domain, our study advances the emerging discourse on networks whose focal actors are not for-profit firms.</p>","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 3","pages":"3-25"},"PeriodicalIF":10.6,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12225","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6208908","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}
Paul F. Skilton, Ednilson Bernardes, Mei Li, Steven A. Creek
{"title":"The Structure of Absorptive Capacity in Three Product Development Strategies","authors":"Paul F. Skilton, Ednilson Bernardes, Mei Li, Steven A. Creek","doi":"10.1111/jscm.12223","DOIUrl":"https://doi.org/10.1111/jscm.12223","url":null,"abstract":"<p>This study develops and tests theory about different forms of absorptive capacity that support radical, differentiation and imitation product development strategies. Absorptive capacity theory provides a generalized explanation for how firms exploit their embeddedness in relationships with buyers and suppliers. We develop and test theory that relates combinations of four components of absorptive capacity (R&D capability, product development capability, cooperative embeddedness, and competitive embeddedness) to success rates in three product development strategies. We used data from the American pharmaceutical industry to estimate generalized linear mixed models. Our results confirm known relationships between R&D capability, alliance network position, and the development of radically new products, but reveal different sets of factors that influence differentiation and imitation. We describe a previously undetected influence of competitive embeddedness on the development of radically new products, a contrasting absorptive capacity structure for generic product development, and a mixed structure for differentiated product development.</p>","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 3","pages":"47-65"},"PeriodicalIF":10.6,"publicationDate":"2020-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12223","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6406916","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":"A New Methodology for Supply Chain Management: Discourse Analysis and its Potential for Theoretical Advancement","authors":"Cynthia Hardy, Vikram Bhakoo, Steve Maguire","doi":"10.1111/jscm.12222","DOIUrl":"https://doi.org/10.1111/jscm.12222","url":null,"abstract":"<p>This paper responds to recent calls for methodological diversification and “in-house” theory development within the discipline of SCM, by introducing discourse analysis to readers of the <i>Journal of Supply Chain Management</i>. One of the merits of discourse analysis is the way in which it “problematizes” taken-for-granted aspects of organizational life, including supply chains, to show that what we assume to be natural, inevitable and beneficial is rarely quite so straightforward as it may seem. In addition, through the way in which it emphasizes the interrogation of meaning, discourse analysis can broaden conceptualizations of the supply chain to include actors that have previously been overlooked, such as employees, workers, not-for-profit organizations, regulators, consumers, and the media. Using examples that are familiar to SCM researchers—the discourses of lean, sustainability, modern slavery, and big data—we illustrate how discourse analysis can help to theorize SCM phenomena by problematizing established meanings and revealing how they reproduce power relations among actors. We then show how insights from discourse analysis can complement existing theories of the supply chain and, in so doing, potentially rejuvenate the field of SCM by inspiring novel theory development, opening up different empirical settings, and promoting new ways of analyzing qualitative data.</p>","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 2","pages":"19-35"},"PeriodicalIF":10.6,"publicationDate":"2020-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12222","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6303774","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":"Call for New Co-Editors for The Journal of Supply Chain Management","authors":"Lisa Ellram, Christine Harland","doi":"10.1111/jscm.12218","DOIUrl":"https://doi.org/10.1111/jscm.12218","url":null,"abstract":"","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 1","pages":"88-89"},"PeriodicalIF":10.6,"publicationDate":"2020-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6453270","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":"Call for Papers for the 2020 Emerging Discourse Incubator: Emerging Approaches for Developing SCM Theory","authors":"","doi":"10.1111/jscm.12220","DOIUrl":"https://doi.org/10.1111/jscm.12220","url":null,"abstract":"","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 1","pages":"90-92"},"PeriodicalIF":10.6,"publicationDate":"2020-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12220","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6096377","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":"Unraveling the Dimensions of Supplier Involvement and their Effects on NPD Performance: A Meta-Analysis","authors":"Robert Suurmond, Finn Wynstra, Jan Dul","doi":"10.1111/jscm.12221","DOIUrl":"https://doi.org/10.1111/jscm.12221","url":null,"abstract":"<p>We study the relationship between supplier involvement in new product development and performance. The current literature is scattered and fragmented with studies reporting mixed empirical evidence for a variety of concepts related to “Early Supplier Involvement.” We conduct a systematic review and meta-analysis of the existing literature to reconcile conflicted findings, revise and refine theoretical perspectives, and provide evidence-based scholarly and practical implications. To achieve these aims, we unravel the general relationship by considering three factors. First, we delineate different types of performance outcomes, mainly related to NPD efficiency (e.g., speed) and NPD effectiveness (e.g., product quality). Second, we distinguish between the moment and the extent of supplier involvement, related to different theoretical perspectives on external knowledge integration. Third, we disentangle multiple levels of analysis that are seemingly obscured in the literature, specifically the project and organizational levels. We find that extensive supplier involvement has positive effects on NPD efficiency and effectiveness, whereas earlier supplier involvement only to some degree affects NPD efficiency and not effectiveness. In conclusion, our meta-analysis based on 11,420 observations from 51 studies provides strong theoretical and practical insights on the important phenomenon of supplier involvement.</p>","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 3","pages":"26-46"},"PeriodicalIF":10.6,"publicationDate":"2020-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12221","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6447310","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}
Pam Manhart, James K. Summers, Jennifer Blackhurst
{"title":"A Meta-Analytic Review of Supply Chain Risk Management: Assessing Buffering and Bridging Strategies and Firm Performance","authors":"Pam Manhart, James K. Summers, Jennifer Blackhurst","doi":"10.1111/jscm.12219","DOIUrl":"https://doi.org/10.1111/jscm.12219","url":null,"abstract":"<p>Supply chain risk management has received considerable attention as firms experience more frequent and severe impact disruptions. We meta-analytically test the Bode et al. (2011) framework of buffering and bridging supply chain risk management strategies to determine their effect on supply chain risk management. We analyze the supply chain risk management literature to find that both buffering and bridging strategies contribute to supply chain risk management. We also address the benefit of supply chain risk management. Results indicate that supply chain risk management provides a strong contribution to overall firm performance. Additionally, we identify cultural differences of these relationships. Although supply chain risk management strategies may be applied universally, their efficacy varies by culture. In conclusion, we identify and provide guidance for future work.</p>","PeriodicalId":51392,"journal":{"name":"Journal of Supply Chain Management","volume":"56 3","pages":"66-87"},"PeriodicalIF":10.6,"publicationDate":"2020-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6346830","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}