Asian Journal of Innovation and Policy

Asian Society for Innovation and Policy (아시아기술혁신학회)
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Indicators of Customer Value for the National Technology Information Service

  • Received : 2014.09.29
  • Accepted : 2014.10.16
  • Published : 2014.11.01
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Abstract

Knowledge, technology and information have special characteristics different from the ones of normal consumer products and services. Especially the value of such information varies according to external elements such as the provided environment, their method of utilization, and the level and purpose, etc. of the user. In this study, the indicators of information customer value are developed and measured to enhance customer-based values with efforts for making new customers and maintaining existing customers. The result is as follows: 14 customer value indicators were developed. Among the indicators, value gained versus effort, reduced time for research idea investigation and savings in time searching for equipment, and tools and materials got the highest score, which means that time-saving effects were the most important. The field study of this paper was conducted from information users in the field of national R&D, and thus future studies could be conducted in various industries in many countries to attain generalized results.

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References

  1. Anderson, E.W., Fornell, C. and Lehman, D.R. (1994) Customer satisfaction, market share, and profitability: findings from Sweden, Journal of Marketing, 58, 53-66.
  2. Anderson, J.C. (1995) Relationships in business markets: exchange episodes, value creation, and their empirical assessment, Journal of the Academy of Marketing Science, 23, 346-350. https://doi.org/10.1177/009207039502300415
  3. Anitsal, I. (2005) Technology based self-service from customer productivity toward customer value, Doctoral Dissertation, University of Tennessee.
  4. Chen, Z. and Dubinsky, A.J. (2003) A conceptual model of perceived customer value in e-commerce, Psychology and Marketing, 20(4), 323-347. https://doi.org/10.1002/mar.10076
  5. Choi, S.D. (2007) Development of logistics performance metrics for a customer, Korea Institute for Defense Analysis.
  6. Deming, W.E. (2000) The New Economics for Industry, Government, Education, 2nd ed., MIT Press.
  7. Davis, G.B. (1974) Management Information Systems: Conceptual Foundations, Structure, and Development, New York: McGraw-Hill.
  8. DeLone, W.H. and McLean, E.R. (2002) The DeLone and McLean model of information systems success: a ten-year update, Journal of Management Information Systems, 19, 9-30.
  9. GAO (1996) Content Analysis: A Methodology for Structuring and Analyzing Written Material.
  10. Godin, B. (2005) Measurement and Statistics on Science and Technology: 1920 to the Present, London: Routledge.
  11. Gummerus, J. (2010) E-services as resources in customer value creation, Marketing Service Quality, 20(5), 425-439.
  12. Hatry, P.H. (1980) Performance management principles and techniques, Public Productivity Review, 4(4), 312-339. https://doi.org/10.2307/3379974
  13. Sanchez, J., Callarisa, L., Rosa, M.R. and Miguel, A.M. (2006) Perceived value of the purchase of a tourism product, Tourism Management, 27(3), 394-409. https://doi.org/10.1016/j.tourman.2004.11.007
  14. Kim, S.H. and Oh, S.H. (2002) The determinants of repurchase intentions in the service industry: customer value, customers satisfaction, switching costs, and attractiveness of alternatives, Journal of Korean Marketing Association, 17(2), 22-55.
  15. Lee, J.S., Joung, T.Y. and Han, B.Y. (2011) Development of key performance index for maximizing offset outcomes, Journal of Korea Technology Innovation Society, 14(4), 860-888.
  16. Lee, S.N. (2011) A study on the effects of mobile banking acceptance on customer satisfaction and value, Journal of Korea Academic society of Accounting, 16(2), 143-168.
  17. McLeod, G.A. (1999) Measuring the Customer Value of Information Technology, Lincoln University, http://hdl.handle.net/10182/2221.
  18. McDonough, A.M. (1963) Information Economics and Management Systems, New York: McGraw-Hill Book.
  19. Na, D.K., Lee, J.H., Back, M.Y. and Lee, H.Y. (2011) A study on the effect of web site characteristics of customer value, satisfaction and loyalty, Journal of Korean Entertainment Industry Association, 5(1), 97-106. https://doi.org/10.21184/jkeia.2011.03.5.1.97
  20. Petter S., DeLone, W. and McLea, E.R. (2013) Information system success: the quest for the independent variables, Journal of Management Information System, 29(4), 7-61. https://doi.org/10.2753/MIS0742-1222290401
  21. Shnnon, C.E. (1948) A mathematical theory of communication, Bell System Technical Journal, 27, 379-423, 623-656, Jul./Oct. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  22. Son, Y.H. (2011) A study on the development of customer value scale, Journal of Korea psychological association, 12(2), 455-275.
  23. Suh, S.H., Lee, S.Y. and Lee, B.H. (2012) A study on the effect of web site characteristics to customer value, satisfaction and loyalty, Journal of Korea Technology Innovation Society, 15(4), 837-861.
  24. Petter, S., DeLone, W. and McLeanm, E. (2008) Measuring information systems success: models, dimensions, measures, and interrelationships, European Journal of Information Systems, 17, 236-263. https://doi.org/10.1057/ejis.2008.15
  25. Sweeny, J.C. and Geoffrey, N.S. (2001) Consumer perceived value: the development of a multiple item scale, Journal of Retailing, 77, 203-220. https://doi.org/10.1016/S0022-4359(01)00041-0
  26. Wang, R.Y. and Strong, D.M. (1996) Beyond accuracy: what data quality means to data consumers, Journal of Management Information Systems, 12(4), 5-33. https://doi.org/10.1080/07421222.1996.11518099
  27. Wang, Y.S. (2008) Assessing e-commerce systems success: a re-specification and validation of the D&M, Information Systems Journal, 18, 529-557 https://doi.org/10.1111/j.1365-2575.2007.00268.x
  28. William, H.D. and McLean, E.R. (2008) Measuring information systems success: models, dimensions, measures, and interrelationships, European Journal of Information Systems, 17, 236-263. https://doi.org/10.1057/ejis.2008.15
  29. Wiener, N. (1956) What is information theory? Transactions on Information Theory, IRE.
  30. Woodriff, R.B. (1997) Customer value: the next source for competitive advantage, Journal of the Academy of Marketing.
  31. Woodruff, R.B. and Gardial, S. (1996) Know your Customer: New approaches to Customer Value and Satisfaction, Cambridge, USA: Blackwell Business.
  32. Yang, H.J. and Lee, M.S. (2008) Customer value creation through customer monitoring, Journal of Korea Contents Association, 8(1), 86-92. https://doi.org/10.5392/JKCA.2008.8.1.086
  33. Zeithaml, V.A. (1988) Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence, Journal of Marketing, 52, 2-22. https://doi.org/10.2307/1251446
  34. Chen, Z. and Alan, J.D. (2003) A Conceptual model of perceived customer value in ecommerce: a preliminary investigation, Psychology and Marketing, 20(4), 323-347. https://doi.org/10.1002/mar.10076
  35. Zhao, K., Antonis, C.S. and Yiming, Z. (2013) Predicting users' continuance intention in virtual communities: The dual intention-formation processes, Decision Support Systems, 55, 903-910. https://doi.org/10.1016/j.dss.2012.12.026

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