Industrial Engineering and Management Systems

Korean Institute of Industrial Engineers (대한산업공학회)
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Profiling Green IT Leaders Quantitatively and Qualitatively

  • Kim, Yong Seog (Management Information Systems Department, Jon M. Huntsman School of Business, Utah State University) ;
  • Kwag, Seung Woog (Division of Business Administration, College of Economics and Business Administration, Sookmyung Women's University)
  • Received : 2013.01.11
  • Accepted : 2013.04.08
  • Published : 2013.06.30
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Abstract

In this study, we intend to identify key financial variables that can accurately classify Green IT leaders against Green IT followers. In particular, we build and compare single and meta-classifiers to identify the relationship between environmental performance and financial performance, while focusing on selecting and interpreting a final prediction model with a smaller set of financial performance indicators. Our experimental results demonstrate that several key variables representing the size, financial resources, operational efficiency, and risk-taking tendency of an organization can successfully identify Green IT leaders with approximately 90% of accuracy. In addition, we find that Green IT leaders show a higher utilization rate of Web pages as a green marketing channel than Green IT followers while they share common layouts of Web publication to build green IT brands with some differences.

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References

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