编者:关于发展供应链管理理论的新兴方法主题的新兴话语孵化器介绍

IF 10.2 2区 管理学 Q1 MANAGEMENT Journal of Supply Chain Management Pub Date : 2020-03-16 DOI:10.1111/jscm.12227
Barbara Flynn, Mark Pagell, Brian Fugate
{"title":"编者:关于发展供应链管理理论的新兴方法主题的新兴话语孵化器介绍","authors":"Barbara Flynn,&nbsp;Mark Pagell,&nbsp;Brian Fugate","doi":"10.1111/jscm.12227","DOIUrl":null,"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":10.2000,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/jscm.12227","citationCount":"12","resultStr":"{\"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,&nbsp;Mark Pagell,&nbsp;Brian Fugate\",\"doi\":\"10.1111/jscm.12227\",\"DOIUrl\":null,\"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\":10.2000,\"publicationDate\":\"2020-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1111/jscm.12227\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Supply Chain Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jscm.12227\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Supply Chain Management","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jscm.12227","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 12

摘要

《供应链管理杂志》2020年新兴话语孵化器希望能够促进供应链具体理论的发展。执行良好的基于案例的研究将永远是发展供应链理论的合适手段。然而,这个EDI试图强调理论构建的新兴方法,这些方法为基于案例的研究提供了替代方案,或者可以作为三角测量的来源。为了开始这个讨论,这个问题提供了三种新兴的方法。在“用定性大数据和主题建模理论化供应链”一文中,Tima Bansal、Jury Gualandris和Nahyun Kim探讨了主题建模在从定性文本大数据证据发展供应链理论中的应用。Anne Touboulic, Lucy McCarthy和Lee Matthews在“通过批判性参与研究重新想象供应链挑战”中阐述了使用批判性参与研究来发展供应链理论。在《供应链管理的新方法论:话语分析及其理论进步的潜力》一书中,Cynthia Hardy、Vikram Bhakoo和Steve Maguire描述了话语分析在发展供应链管理理论方面的潜力。这些只是发展供应链理论的几个潜在方法的例子。我们欢迎提交在其他学科中使用的其他方法和数据来源,但尚未在发展供应链理论的背景下应用,以及提交在社会科学中出现的方法。JSCM欢迎在2020年底之前提交此EDI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
From the Editors: Introduction to the Emerging Discourse Incubator on the Topic of Emerging Approaches for Developing Supply Chain Management Theory

The Journal of Supply Chain Management’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. JSCM welcomes submissions for this EDI through the end of 2020.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
16.00
自引率
6.60%
发文量
18
期刊介绍: ournal of Supply Chain Management Mission: The mission of the Journal of Supply Chain Management (JSCM) is to be the premier choice among supply chain management scholars from various disciplines. It aims to attract high-quality, impactful behavioral research that focuses on theory building and employs rigorous empirical methodologies. Article Requirements: An article published in JSCM must make a significant contribution to supply chain management theory. This contribution can be achieved through either an inductive, theory-building process or a deductive, theory-testing approach. This contribution may manifest in various ways, such as falsification of conventional understanding, theory-building through conceptual development, inductive or qualitative research, initial empirical testing of a theory, theoretically-based meta-analysis, or constructive replication that clarifies the boundaries or range of a theory. Theoretical Contribution: Manuscripts should explicitly convey the theoretical contribution relative to the existing supply chain management literature, and when appropriate, to the literature outside of supply chain management (e.g., management theory, psychology, economics). Empirical Contribution: Manuscripts published in JSCM must also provide strong empirical contributions. While conceptual manuscripts are welcomed, they must significantly advance theory in the field of supply chain management and be firmly grounded in existing theory and relevant literature. For empirical manuscripts, authors must adequately assess validity, which is essential for empirical research, whether quantitative or qualitative.
期刊最新文献
Issue Information Process Research Methods for Studying Supply Chains and Their Management Rethinking Supply Chain Management in a Post-Growth Era Unraveling the Urban Ecosystem: An Ethnographic Study of Logistics Service Providers “I Am Because We Are”: The Role of Sub-Saharan Africa's Collectivist Culture in Achieving Traceability and Global Supply Chain Resilience
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1