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자료유형
학술저널
저자정보
(Utah State University) (Sookmyung Women’s University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제12권 제2호
발행연도
수록면
118 - 129 (12page)

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초록· 키워드

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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목차

  1. ABSTRACT
  2. 1. INTRODUCTION
  3. 2. LITERATURE REVIEW OF CHARACTERISTICS FOR GREEN IT LEADERS
  4. 3. RESEARCH MODEL AND DATA SET
  5. 4. EXPERIMENTAL RESULTS
  6. 5. WEB UTILIZATION FOR BUILDING STRONG BRAND TOWARD GREEN ITLEADER
  7. 6. CONCLUSION AND FUTURE RESEARCH
  8. REFERENCES

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UCI(KEPA) : I410-ECN-0101-2014-500-003300945