供应链管理理论发展的配置方法:利用未充分开发的机会

IF 10.2 2区 管理学 Q1 MANAGEMENT Journal of Supply Chain Management Pub Date : 2021-09-23 DOI:10.1111/jscm.12275
David J. Ketchen Jr., Lutz Kaufmann, Craig R. Carter
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引用次数: 22

摘要

在介绍2020年新兴话语孵化器时,Flynn等人(2020,https://doi.org/10.1111/jscm.12227)敦促供应链学者利用新的方法来发展供应链特定理论,包括在该学科中未充分利用的方法。作为回应,我们解释了更多的配置检查-样本中有意义的观察集-如何加强理论发展,特别是推动供应链特定理论的构建。首先,我们描述了构型理论化的价值,同时将其与两种更流行的方法进行了对比:一种方法以线性关系为中心,另一种方法强调个体观察的独特特征。其次,我们解释了学者们可用的主要配置方法。在这里,我们特别关注定性比较分析(QCA)——一种在组织研究中相对较新的配置理论方法。第三,我们提供了一些例子,说明如何通过使用QCA来建立配置理论,从而发展供应链管理理论。虽然QCA在邻近领域经常被采用,但在供应链管理研究中,QCA仍然是一个概念上的好奇心。这种状况代表了一个重要的机会,因为QCA对因果复杂性的强调与供应链结果通常由一系列变量(通常在不同的分析水平上)和它们之间的相互作用产生的事实非常吻合。因此,更好地利用配置理论的发展可以促进新的概念化和对实践有用的建议的创造。
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Configurational approaches to theory development in supply chain management: Leveraging underexplored opportunities

In introducing the 2020 Emerging Discourse Incubator, Flynn et al. (2020, https://doi.org/10.1111/jscm.12227) urged supply chain scholars to leverage fresh approaches in order to develop supply chain-specific theory, including approaches that are underutilized within the discipline. In response, we explain how more examination of configurations—meaningful sets of observations within a sample—can enhance theory development and, in particular, fuel the construction of supply chain-specific theory. First, we describe the value of configurational theorizing while contrasting it with two more popular approaches: one that centers on linear relationships and one that spotlights the unique features of individual observations. Second, we explain the main configurational approaches available to scholars. Here, we pay special attention to qualitative comparative analysis (QCA)—an approach to configurational theorizing that is relatively new to organizational research. Third, we offer examples of how configurational theorizing via the use of QCA can be used to develop supply chain management theory. Although QCA is employed regularly in neighboring fields, QCA remains something of a conceptual curiosity within supply chain management research. This state of affairs represents an important opportunity because QCA's emphasis on causal complexity fits well with the fact that supply chain outcomes usually arise from an array of variables—often at different levels of analysis—and the interplay among them. Thus, better leveraging configurational theory development can facilitate the creation of novel conceptualizations and useful advice for practice.

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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
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