DOI QR코드

DOI QR Code

Firm's Economic Efficiency and Critical Weather Information in Distribution Industry by Climate Change

기후변화에 따른 유통산업의 핵심 기상요인과 기업의 경제적 효율성

  • Lee, Joong-Woo (School of Management, Institute Research of Industry Management, Inje University) ;
  • Ko, Kwang-Kun (School of Management, Institute Research of Industry Management, Inje University) ;
  • Jeon, Jin-Hwan (Division of Business Administration, Pusan National University)
  • 이중우 (인제대학교 경영학부/산업경영연구원) ;
  • 고광근 (인제대학교 경영학부/산업경영연구원) ;
  • 전진환 (부산대학교 경영학과)
  • Received : 2010.04.13
  • Accepted : 2010.05.10
  • Published : 2010.06.30

Abstract

Nowadays meteorological information is systemized as a useful knowledge which has a significant effect on the overall industrial domains over the simple data. The distribution industry, which has the short life cycle, depends on the meteorological information at the strategic level. However, it is necessary to pay attention to the continuous investment in meteorological information because there is a hostility to paying for a service, particularly it does not provide accurate and reliable information. Therefore, the purpose of this study is to increase the usefulness of meteorological information in the distribution industry for its economic effectiveness from the core meteorological factors. We found significant meteorological factors (temperature, precipitation, disaster) that have a critical influence on the distribution industry through the hierarchical analysis process, and their importance according to the type of distribution channels, such as department store, large-scale discount store, convenience store, and home shopping. We performed the AHP analysis with 103 survey samples by middle managers from the various distribution channels. We found that precipitation is the critical meteorological factor across the distribution industry. Based on this result, we stress the difference in the level of the meteorological information in order for the effectiveness of each type of distribution channels.

Keywords

References

  1. 이중우, 2009, 기상정보를 활용한 유통산업의 전략경영, 월간 유통저널, 3(174), 11-14.
  2. 정예모, 2006, 날씨정보 돈 된다- 날씨경영, 이렇게 실천하라!, 삼성지구환경연구소 보고서.
  3. 프리트헬름 슈바르츠, 2006, 날씨가 지배한다, 플랫닛미디어, 21-45.
  4. 황진택, 정예모, 1999, 기상이변이 경제에 미치는 영향, 삼성지구환경연구소.
  5. 신세계유통연구소, 2008, 신세계유통산업보고서-2009.
  6. 동아일보, 2005, 백화점 “추위야, 고맙다”${\cdot\cdot\cdot}$새해 정기세일 매출 30% 상승, 1월 10일자.
  7. Exper Choice Korea, 2002, Expert Choice Guide and Tutorial.
  8. Met Office, 2007, Met Office Annual Report and Accounts 2006-7, 1-83.
  9. Met Office, 2007, The Public Weather Service's Contribution to the UK Economy, http://www.metoffice.gov.uk/corporate/verification/PWSCG_benefits_report.pdf.
  10. Meteorological Service of Canada, 2007, Meteorological Service of Canada Annual Report.
  11. Saaty, T. L., 1977, A Scaling Method for Priorities in Hierarchical Structures. Journal Mathematical Psychology, 15(3), 234-281. https://doi.org/10.1016/0022-2496(77)90033-5
  12. Saaty, T. L., 1990, How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operation Research, 48, 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
  13. Vaidya O. S., Kumar, S., 2004, Analytic hierarch process: An overview of applications, European Journal of Operation Research, 1-29.
  14. Zahedi, F., 1985, Data-Base Management System Evaluation and Selection Decision, Decision Sciences, 16(1), 91-116. https://doi.org/10.1111/j.1540-5915.1985.tb01477.x
  15. Zahedi, F., 1986, The Analytic Hierarchy Process-A Survey of the Method and Its Applications, Interface, 16(4), 96-108. https://doi.org/10.1287/inte.16.4.96