Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
권호 표지
DOI QR코드

DOI QR Code

The Effect of Weather Information System'Quality Factor on User Satisfaction and Business Performance

기상정보시스템 품질요인이 이용자 만족과 사업성과에 미치는 영향

  • Song, Gwangsuk (Division of Business Administration, Soongsil University) ;
  • Kim, Gyuwhan (Graduate School of Business Administration, Soongsil University) ;
  • Yoo, Hanjoo (Division of Business Administration, Soongsil University)
  • Received : 2016.03.03
  • Accepted : 2017.03.21
  • Published : 2017.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: The purpose of this study is to suggest a key quality factor affecting user satisfaction based on quality attribute of weather information system and additionally, a managerial implication for activating weather information service market by analyzing causal relevance between weather information system and business performance. Methods: As its method, a causal relevance of quality factor of weather information system affecting satisfaction and business performance was analyzed by using structural equation model. An enterprise utilized in analysis sample performed a survey by targeting 186 distribution/logistics and general manufacturing company. Results: It was revealed that information, service quality of weather information system exerted a significant influence on user satisfaction and it did not take a significant influence on business performance in terms of quality of information, system and service. A significant relevance between user satisfaction and business performance was strong supported. Finally, it was revealed that utilization level of weather information system had a moderating effect on business performance. Conclusion: Domestic weather information system mainly focused on information utilization based weather information system and additional service level utilizing weather information is very low in practical terms. Therefore, in order to expand domestic weather related service market, systematic market expansion strategy of providing corporate customized service and case enlargement would be required.

Keywords

References

  1. Almutairi, H., & Subramanian, G. H. 2005. "An Empirical Application of the DeLone and McLean Model in the Kuwaiti Private Sector." Journal of Computer Information Systems 45(3):113-122.
  2. An, S. H., & Cho, N. K. 2010. "A Study on the Methods for Improving Weather Information Application by Analysis the Present State in Building Construction." Korean Journal of Construction Engineering and Management 11(3):89-96. https://doi.org/10.6106/KJCEM.2010.11.3.89
  3. Bang, Ki-Seok., & Kim, Geon-Ha. 2013. "Analysis of Airline Operations Efficiency Enhanced by Utilizing Meteorological Information." Productivity Review 27(4):345-369. https://doi.org/10.15843/kpapr.27.4.201312.345
  4. Beum, Eun-Hee. 2013. A Study on Meteorological Industry Activation Plan in Korea (Master's thesis). Chosun University.
  5. Chiu, C. M., Chiu, C. S., & Chang, H. C. 2007. "Examining the Integrated Influence of Fairness and Quality on Learners' Satisfaction and Web‐based Learning Continuance Intention." Information Systems Journal 17(3):271-287. https://doi.org/10.1111/j.1365-2575.2007.00238.x
  6. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models." Management Science 35(8):982-1003. https://doi.org/10.1287/mnsc.35.8.982
  7. DeLone, W. H., & McLean, E. R. 1992. "Information Systems Success: The Quest for the Dependent Variable." Information Systems Research 3(1):60-95. https://doi.org/10.1287/isre.3.1.60
  8. Delone, W. H., & McLean, E. R. 2003. "The DeLone and McLean Model of Information Systems Success: a Ten-Year Update." Journal of Management Information Systems 19(4):9-30. https://doi.org/10.1080/07421222.2003.11045748
  9. Delone, W. H., & Mclean, E. R. 2004. "Measuring E-Commerce Success: Applying the DeLone & McLean Information Systems Success Model." International Journal of Electronic Commerce 9(1):31-47. https://doi.org/10.1080/10864415.2004.11044317
  10. Delone, W. H., & McLean, E. R. 2016. "Information Systems Success Measurement." Foundations and Trends in Information Systems 2(1):1-116. https://doi.org/10.1561/2900000005
  11. Devaraj, S., & Kohli, R. 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing link?." Management Science 49(3):273-289. https://doi.org/10.1287/mnsc.49.3.273.12736
  12. Fornell, C. & Larcker, D. F. 1981. "Evaluating Structural Equation Models with Unobserved Variables and Measurement Error." Journal of Marketing Research 18(1):39-50. https://doi.org/10.2307/3151312
  13. Halawi, L. A., McCarthy, R. V., & Aronson, J. E. 2008. "An Empirical Investigation of Knowledge Management Systems' Success." Journal of Computer Information Systems 48(2):121-135.
  14. Han, C. H. & Lee, J. W., & Lee, K. K. 2009. "Analyzing Information Value of Temperature Forecast for the Electricity Demand Forecasts." Korean Management Science Review 26(1):77-91.
  15. Jang, M. h., & Yoon, Y. S. 2008. "A Method of Using Real-time Weather Information to Manage Construction Schedule." Journal of the Architectural Institute of korea Structure & Construction 24(9):123-130.
  16. Joseph, D., Ng, K. Y., Koh, C., & Ang, S. 2007. "Turnover of Information Technology Professionals: A Narrative Review, Meta-Analytic Structural Equation Modeling, and Model Development." Mis Quarterly 31(3):547-577. https://doi.org/10.2307/25148807
  17. Joshi, K., & Rai, A. 2000. "Impact of the Quality of Information Products on Information System Users' Job Satisfaction: An Empirical Investigation." Information Systems Journal 10(4):323-345. https://doi.org/10.1046/j.1365-2575.2000.00087.x
  18. Kettinger, W. J., & Lee, C. C. 1997. "Pragmatic Perspectives on the Measurement of Information Systems Service Quality." Mis Quarterly 21(2):223-240. https://doi.org/10.2307/249421
  19. Kim, Ahran. 2012. A Study on User Experience Design of Weather Service using Mobile Messenger Platform (Master's thesis). Seoul Women's University.
  20. KMIPA. 2013. A Analysis of Factors Affecting Satisfaction of weather Information Service. Issue Paper 2013(03):1-18.
  21. Kulkarni, U. R., Ravindran, S., & Freeze, R. 2006. "A Knowledge Management Success Model: Theoretical Development and Empirical Validation." Journal of Management Information Systems 23(3):309-347. https://doi.org/10.2753/MIS0742-1222230311
  22. Lee, C. S., Kwon, H. S., & Ha, H. J. 2008. "A Study on Weather Insurance Pricing Based on Stochastic Temperature Modeling." KIRI 19(2):55-76.
  23. Lee, H. J., & Hong, J. H. 2012. "A Study on the Effects of Meterological Factors on the Distribution of Agricultural Products: Focused on the Distribution of Chinese Cabbages." Journal of Distribution Research 17(5):59-83.
  24. Lee, J. W., & Lee, K. K. 2010. "A Decision-Making Strategy to Maximize the Information Value of Weather Forecasts in a Customer Relationship Management(CRM) Problem of the Leisure Industry." Korean Management Science Review 27(1):33-43.
  25. Lee, K. C., & Chung, N. 2009. "Understanding Factors Affecting Trust in and Satisfaction with Mobile Banking in Korea: A Modified DeLone and McLean's Model Perspective." Interacting with Computers, 21(5):385-392. https://doi.org/10.1016/j.intcom.2009.06.004
  26. Lee, K. K., & Lee, J. W. 2007. "The Effect of Meteorological Information on Business Decision-Making with a Value Score Model," Journal of the Society of Korea Industrial and Systems Engineering 30(2):89-98.
  27. Lee, M. G. 2013. Weather Information System. SIGMA Press.
  28. Lee, S. W., Lee, K. M., Kim, J. Y., & Kim, B. J. 2014. "Impact of Changma on the Retail Sales in Jeju." Journal of Climate Research 9(4):303-314. https://doi.org/10.14383/cri.2014.9.4.303
  29. Lim, Gichul & Hong, Sakhun. 1995. A Study on the Commercialization of Weather Information. STEPI.
  30. Marchand, D. A., Kettinger, W. J., & Rollins, J. D. 2002. Information Orientation: The link to Business Performance. Oxford University Press.
  31. Mason, R. O. 1978. "Measuring information output: A communication systems approach." Information & Management 1(4):219-234. https://doi.org/10.1016/0378-7206(78)90028-9
  32. McGill, T. J., Hobbs, V. J., & Klobas, J. E. 2003. "User Developed Applications and Information Systems Success:A Test of DeLone and McLean's Model." Information Resources Management Journal 16(1):24-45. https://doi.org/10.4018/irmj.2003010103
  33. NIMR. 2013. Support to Use of Meteorological Information and Value Creation. KMA.
  34. Parasuraman, A., Berry, L. L., & Zeithaml, V. A. 1991. "Refinement and Reassessment of the SERVQUAL Scale." Journal of Retailing 67(4):420-450.
  35. Petter, S., DeLone, W., & McLean, E. 2008. "Measuring Information Systems Success: Models, Dimensions, Measures, and Interrelationships." European Journal of Information Systems 17(3):236-263. https://doi.org/10.1057/ejis.2008.15
  36. Petter, S., DeLone, W., & McLean, E. R. 2013. "Information Systems Success: The Quest for the Independent Variables." Journal of Management Information Systems 29(4):7-62. https://doi.org/10.2753/MIS0742-1222290401
  37. Pitt, L. F., Watson, R. T., & Kavan, C. B. 1995. "Service Quality: a Measure of Information Systems Effectiveness." MIS Quarterly 19(2):173-187. https://doi.org/10.2307/249687
  38. Rai, A., Lang, S. S., & Welker, R. B. 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis." Information Systems Research 13(1):50-69. https://doi.org/10.1287/isre.13.1.50.96
  39. Seddon, P. B. 1997. "A Respecification and Extension of the DeLone and McLean model of IS success". Information Systems Research 8(3):240-253. https://doi.org/10.1287/isre.8.3.240
  40. Shannon, C. E. & Weaver, W. 1949. The Mathematical Theory of Communication. Urbana: University of Illinois Press.
  41. Stanski, H. R., Wilson, L. J., & Burrows, W. R. 1989. "Survey of Common Verification Methods in Meteorology." Geneva. World Meteorological Organization. WMO/TD 358:114.
  42. Szajna, B., & Scamell, R. W. 1993. "The Effects of Information System User Expectations on Their Performance and Perceptions." Mis Quarterly 17(4):493-516. https://doi.org/10.2307/249589
  43. Thornes, J. E., & Stephenson, D. B. 2001. "How to Judge the Quality and Value of Weather Forecast Products." Meteorological Applications 8(3):307-314. https://doi.org/10.1017/S1350482701003061
  44. Van Dyke, T. P., Kappelman, L. A., & Prybutok, V. R. 1997. "Measuring Information Systems Service Quality:Concerns on the Use of the SERVQUAL Questionnaire." MIS Quarterly 21(2):195-208. https://doi.org/10.2307/249419
  45. Wilks, D. S. 2001. "A skill score based on economic value for probability forecasts." Meteorological Applications 8(2):209-219. https://doi.org/10.1017/S1350482701002092
  46. Wixom, B. H., & Todd, P. A. 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance." Information Systems Research 16(1):85-102. https://doi.org/10.1287/isre.1050.0042
  47. Wu, J. H., & Wang, Y. M. 2006. "Measuring KMS Success: A Respecification of the DeLone and McLean's Model." Information & Management 43(6):728-739. https://doi.org/10.1016/j.im.2006.05.002
  48. Yang, I. K. 2005. A Study on the estimation of the socio-economic values of meteorological information services and policy subjects(Master's thesis). Seoul National University.
  49. Zhu, Y., Toth, Z., Wobus, R., Richardson, D., & Mylne, K. 2002. "The Economic Value of Ensemble-Based Weather Forecasts." Bulletin of the American Meteorological Society 83(1):73-83. https://doi.org/10.1175/1520-0477(2002)083<0073:TEVOEB>2.3.CO;2