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Profiling Green IT Leaders Quantitatively and Qualitatively
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  • Profiling Green IT Leaders Quantitatively and Qualitatively
  • Profiling Green IT Leaders Quantitatively and Qualitatively
저자명
Kim. Yong Seog,Kwag. Seung Woog
간행물명
Industrial engineering & management systems : an international journal
권/호정보
2013년|12권 2호|pp.118-129 (12 pages)
발행정보
대한산업공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.