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Organizational Dynamics using Data Analytics

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In complex and highly digitized environments, organizations face multiple challenges and often engage in several interorganizational relationships. For instance, competitors entering the markets through physical and digital channels; firms maintaining supplier and competitor relationships with a single firm (e.g. Apple and Samsung); and firms simultaneously collaborating with different types of institutions (e.g. governments, universities, firms). To further comprehend the effects of these factors, advanced methods that enable us to model interoganizational relationships are required. Data analytics approaches, such as complex network analysis, can be used to evaluate firms’ simultaneous relationships and their effects on performance or innovation.

Below are two showcase projects to illustrate our ongoing research efforts.

  • Project 1. Competition Network and Collaboration Network


    Firms simultaneously engage in collaboration, competition and develop information management capabilities. Contrary to the belief that competition and collaboration relationships do not influence each other, using complex competition network and collaboration network analysis, we found that a central position in a collaboration network influences a brokerage position in competition networks (competitive brokerage). Furthermore, we found that competition networks influence several organizational outcomes such as performance and innovation.
  • Project 2. Network Positions and Internal Resources on Firm Innovations


    For innovation, firms rely on internal resources and external resources obtained from other organizations. In emerging economies, where firms’ internal resources are scarce, organizations build simultaneous cooperation relationships with other firms and government sponsored institutions to enhance their innovation. To evaluate the influence of internal resources and collaboration, we build two-mode collaboration networks and found that the effect of internal resources on innovation is dependent upon the position of the firm in each of its collaboration networks.
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