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供应链学术 | 关于供应链管理网络集成化研究

来源:mg真人平台 发布时间:2017-10-16       点击数:914

mg真人(PSA)九月份亲自参加了美国供应链管理专业协会(CSCMP)的年度大会,我们带来了大会一手供应链管理方面的前沿学术观点和大家分享。


关于供应链管理网络集成化研究


一直以来,供应链管理的集成研究模式鲜为人知。集成研究被认为是学术学科发展和科学知识的产生和发展的主要过程之一(BeaverRosen 1978Crane 1972)。随着供应链管理的日趋成熟,学者与机构之间的集成研究模式正在迅速增加(Maloni等人,2015Giannakis 2012 Rao等人,2013)不仅总体对供应链学科有影响, 尤其对个别的学者也有影响。集成研究的广泛成果包括新知识的产生。在个人层面上,它会产生更高的生产力。例如,集成研究能够使学者提出更广泛、更全面、更复杂的问题它提供了多种观点来使结论更有力。这也使学者们有机会同时进行几个项目,并加快研究进展



随着供应链管理领域的不断发展,由新的供应链管理学院和其他学科的研究人员撰写的供应链管理文章在期刊上发表的越来越多。供应链管理学者们越来越多地在机构、学术界和国家等领域之间跨界合作(Maloni等人,2015;Liao-Troth等人,2012)。长期以来,供应链管理研究人员一直对探索社科应用和供应链学院理论之间的互动演变过程充满兴趣。Autry和Griffis(2005)在最早的研究中,运用社交网络理论来研究探索物流中的协作网络。此外,Carter(2003)利用社交网络方法做了引证研究并在供应链管理期刊发表文章。Cantor等人(2010)采用计量经济学的计量数据分析来探讨集成研究与案例研究之间的关系。随着近十年来的经济增长,重新审视供应链管理领域的发展的时候到了。


本研究旨在继续探索智慧供应链的动态演变和管理学者之间的集成模型。为此,本研究目标如下:

  • (1)探索供应链协同网络在供应链管理上的演变;

  • (2)识别这些供应链协同网络的结构特征以及将其可视化;

  • (3)比较供应链管理与其他学科之间的结构特点;

  • (4)确定关键供应链管理领域中的研究人员和机构。



在我们的研究中,主要强调的是供应链的动态演变。随着新增观点和老的观点的结合,供应链管理领域的联合网络协同不断地扩大。从本质上讲,这种动态增长过程决定了供应链管理中协同的结构,然而,以往大量的供应链领域的研究主要聚焦在集成网络的静态特性,与此相反,本文研究了这些供应链网络的动态特性,以解释早期研究中所观察到的许多网络的静态结构特征。


所以供应链网络应该是智能的、动态协同的。


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以下为原文:


Research Collaboration Networks in the Field of Supply Chain Management

 

Writer:Marat Davletshin, University of Arkansas

             Brian Fugate, University of Arkansas

 

Little is known about the patterns of research collaboration in the discipline of supply chain management (SCM). Yet, research collaboration has been credited as one of the primary process underlying the development of academic disciplines and producing and advancing scientific knowledge (Beaver and Rosen 1978, Crane 1972). As the discipline of SCM matures, research collaboration between scholars and institutions is rapidly increasing (Maloni et al. 2015; Giannakis 2012; Rao et al. 2013). This impacts both the discipline in general and individual scholars in particular. The discipline-wide outcomes of research collaboration include production of new knowledge. On the personal level, it leads to higher productivity. For example, research collaboration allows scholars to export broader, more comprehensive, and more complex issues. It provides the multiplicity of viewpoints leading to stronger arguments. It also gives scholars an opportunity to work on several projects simultaneously and make progress more rapidly.


As the field of Supply Chain Management (SCM) continues to grow, an increasing share of articles published in SCM journals is authored by new SCM faculty as well as researchers from other disciplines. SCM scholars are increasingly collaboration across institutions, disciplines, and countries (Maloni et al.2015, Liao-Troth et al. 2012). SCM researchers have long been interested in exploring this evolution by studying the dynamics of the discipline’s social life and the patterns of interactions among SCM scholars. The earliest of such studies, Autry and Griffis (2005), applied social network theory to explore the evolving collaboration network in logistics research. Further, Carter et al. (2003) used social network methods to conduct a citation analysis of the Journal of Supply Chain Management. Cantor et al. (2010) employed econometric analysis of bibliometric data to examine the relationship between collaboration and research citation impact. The time has come to reexamine the field’s evolution in light of its growth in the recent decade.


This study sets out to address this need to continue exploring the dynamics of SCM intellectual structure and research collaboration patterns among SCM scholars. To this end, our study pursues the following research objectives: (1) to explore the evolution of co-authorship networks in the field of SCM over time; (2) to identify and visualize the structural characteristics of these networks; (3) to compare the structural characteristics of SCM co-authorship networks with those of other disciplines, and (4) to identify central researchers and institutions in the field of SCM.


In our study, the accent is on the dynamics of evolution. The SCM co-authorship networks constantly expand by the addition of new authors and new links between those who are already part of the field. Essentially, this dynamical growth process determines the structure of the co-authorship networks in SCM. Extant studies of the SCM field, however, focus primary on the static properties of the collaboration networks. In contrast, this investigates the dynamical properties of these networks to explain many of the static structural features of co-authorship networks observed in earlier studies.