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Profiling Green IT Leaders Quantitatively and Qualitatively
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 Title & Authors
Profiling Green IT Leaders Quantitatively and Qualitatively
Kim, Yong Seog; Kwag, Seung Woog;
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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.
Green IT;Green IT Brands;Data Mining;Environmental Performance;Web Utilization Rate;
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역률보상회로를 이용한 이동통신 중계기의 에너지 절감에 관한 연구,임병철;윤원식;

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