PhD Defense by Hyunwoo Park

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  • Date/Time:
    • Monday October 19, 2015
      1:00 pm - 3:00 pm
  • Location: Groseclose 402
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Summary Sentence: Computational Analysis of Technological Innovation in Complex Enterprise Systems

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Title: Computational Analysis of Technological Innovation in Complex Enterprise Systems

 

Advisors: Dr. William B. Rouse (Chair), Dr. Rahul C. Basole (College of Computing, School of Interactive Computing)

 

Committee members: Dr. Leon F. McGinnis, Dr. Nicoleta Serban, Dr. Raul O. Chao (University of Virginia, Darden School of Business)

 

Location: Groseclose 402

 

Date and Time: Monday, October 19, 1:00 PM

 

Abstract: Technological innovation in complex enterprise systems requires coordinated interplay between a heterogeneous set of industrial players. The complexity in how firms form relationship with each other perplexes the decision-making processes for individual players when they explore the technological search space in order to achieve breakthrough innovation. Building upon the extant literature on business ecosystem, interfirm alliance, new product development, and technology management, this dissertation explores the interplay between technological innovation and interfirm relationship as well as the alliance formation patterns in the business ecosystem context. In Chapter 2, We begin with providing a macroscopic perspective on the information and communication technology ecosystem, followed by in-depth empirical investigations in the mobile handset industry. We employ network visualization, sequence clustering, and organizational simulation methodologies for the macroscopic analysis. Our microscopic analyses presented in Chapters 3 through 5 borrow methodologies from econometrics including regression analysis, difference-in-differences estimation, and event study. Our results propose an effective way to visualize the whole industrial ecosystem and show how the enterprise system has transformed over time. The results from the microscopic analysis show how interfirm relationship shapes technological innovation and how technological innovation is materialized in firm value. Lastly in Chapter 6, we present an integrated computation framework to infer alliance formation strategy. We contribute to the literature by providing generative methods and empirical evidences that accommodate a more complete view on the innovation process in the business ecosystem setting. The dissertation ends with suggesting directions for future research and highlighting implications for research and practice in the area of technological innovation in business ecosystem.

 

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  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Oct 6, 2015 - 4:59am
  • Last Updated: Oct 7, 2016 - 10:12pm