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A dynamic theory for the integration of social and economic networks with applications to supply chain and financial networks.

机译：将社会和经济网络与供应链和金融网络相结合的动态理论。

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Uzzi (1996, p. 674) highlighted that there is a "growing need to understand how social structure assists or impedes economic performance." In this dissertation, I contribute to this understanding by constructing dynamic supernetwork models that explicitly integrate social networks with economic network models and that rigorously capture the role that relationship levels play.; The research in this dissertation is motivated by the growing literature that empirically and theoretically highlights the importance of relationships in supply chains (cf. Cannon and Perreault (1999), Bernardes and Fensterseifer (2004), and Baker and Faulkner (2004)) and financial transactions (cf. Berger and Udell (1995), Anthony (1997), and Uzzi (1999)). As this literature shows, the existence of appropriate social networks can affect not only the risk associated with the transactions but also transaction costs.; By explicitly including the role that relationships play in economic transactions, I extend the previous research on supply chain network models (see, for example, Nagurney, Dong, and Zhang (2002), Nagurney, Cruz, and Matsypura (2003), and Nagurney and Matsypura (2005)). Furthermore, I extend the literature on financial network models (see, for example, Nagurney and Ke (2001, 2003) and Nagurney and Cruz (2003a,b, 2004)).; Specifically, I first develop a model consisting of an integrated supply chain and social network. I then construct a model consisting of an integrated financial and social network. Finally, I extend both these models to an international setting. The social networks consist of relationships of different strength as they have been described in the papers by Granovetter (1973), Freeman, Borgatti, and White (1991), and Golicic, Foggin, and Mentzer (2003).; The "supernetwork" models describe how the behavior of the multicriteria decision-makers and induced flows influence the co-evolution of social and economic networks. Numerical examples highlight the unique ability of this framework to analyze the interaction between the social network and the economic network. The models are based on variational inequality theory for the study of the equilibrium states (cf. Nagurney (1999)) and projected dynamical systems theory for the study of the associated dynamics (cf. Nagurney and Zhang (1996a)).
机译：Uzzi（1996，p。674）强调，“越来越需要了解社会结构如何帮助或阻碍经济表现。”在本文中，我通过构建动态的超级网络模型来促进这种理解，该模型将社交网络与经济网络模型明确集成在一起，并严格地把握了关系层次所扮演的角色。本论文的研究是由不断增长的文献推动的，这些文献从经验和理论上都强调了关系在供应链中的重要性（参见Cannon和Perreault（1999），Bernardes和Fensterseifer（2004），Baker和Faulkner（2004））以及金融学。交易（参见Berger和Udell（1995），Anthony（1997）和Uzzi（1999））。如该文献所示，适当的社交网络的存在不仅会影响与交易相关的风险，而且会影响交易成本。通过明确包括关系在经济交易中的作用，我扩展了先前对供应链网络模型的研究（例如，参见Nagurney，Dong和Zhang（2002），Nagurney，Cruz和Matsypura（2003）和Nagurney）和Matsypura（2005））。此外，我扩展了有关金融网络模型的文献（例如，参见Nagurney and Ke（2001，2003）和Nagurney and Cruz（2003a，b，2004））。具体来说，我首先开发一个模型，该模型由集成的供应链和社交网络组成。然后，我构建一个由集成的财务和社交网络组成的模型。最后，我将这两种模型扩展到国际环境。社交网络由不同强度的关系组成，如Granovetter（1973），Freeman，Borgatti和White（1991）以及Golicic，Foggin和Mentzer（2003）所述。 “超级网络”模型描述了多准则决策者的行为和诱导流如何影响社会和经济网络的共同发展。数值示例突出了该框架分析社会网络与经济网络之间相互作用的独特能力。这些模型基于变分不等式理论用于平衡状态研究（参见Nagurney（1999））和投影动力学系统理论用于相关动力学的研究（参见Nagurney and Zhang（1996a））。

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  • 作者

    Wakolbinger, Tina B.;

  • 作者单位

    University of Massachusetts Amherst.$bBusiness.;

  • 授予单位 University of Massachusetts Amherst.$bBusiness.;
  • 学科 Business Administration Management.; Operations Research.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 270 p.
  • 总页数 270
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;运筹学;
  • 关键词

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