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A User-Oriented Assessment of Enterprise Information Systems

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4553))

Abstract

Enterprises are investing a great amount to utilize information systems. These investments are expected to increase worker productivity and thus bring forth a considerable amount of profit to the enterprise. Given this situation, there are many studies being conducted on the relation between IT investment and an increase in individual productivity. This study deals with more general enterprise information systems, and has the objective of developing a model to assess the user’s utilization of the enterprise information systems. Using the User competency evaluation model as the basis, the assessment model uses User’s EIS basic knowledge, general application, master application, personality as the measurement areas, and utilizes a different measurement method for the different categories taking into account the characteristics of each category. Also, in order to test the validity and credibility of the assessment model, we applied a case among approximately 18,000 female employees of Korea’s representative automobile companies. As a result, all of the measured categories with the exception of User’s EIS Personality were proven to be valid and credible. The User’s EIS Personality is an index that is more prone to be affected by the individual characteristics of the user, and thus requires further research.

This work has been supported by Yonsei University Institute of “u-City Research Institute (uCRI)”, a Brain Korea 21 program, Korea.

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References

  1. Jain, V., Kanungo, S.: Impact of Nature of Information systems Use in Information System-Enabled Productivity. International Journal of Human-Computers Interaction 19(1), 113–136 (2005)

    Article  Google Scholar 

  2. Rosenthal, B.E.: Managing end user computing. Banking Software Review 15(5), 28–33 (1990)

    Google Scholar 

  3. Stewart, T.: Intellectual capital. Doubleday, New York (1997)

    Google Scholar 

  4. Goodhue, D.L., Thompson, R.L.: Task-Technology Fit and Individual Performance. MIS Quarterly 19(2), 213–236 (1995)

    Article  Google Scholar 

  5. Torkzadeh, G., Doll, W.J.: The Development of a Tool for Measuring the Perceived Impact of Information Technology on Work. Omega 27(3), 327–339 (1999)

    Article  Google Scholar 

  6. Compeau, D.R., Higgins, C.A.: Computer self-efficacy: Development of a measure and initial test. MIS Quarterly 19, 189–211 (1995)

    Article  Google Scholar 

  7. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13, 319–339 (1989)

    Article  Google Scholar 

  8. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: A comparison of two theoretical models. Management Science 35, 982–1003 (1989)

    Google Scholar 

  9. Mathieson, K.: Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research 2, 173–222 (1991)

    Article  Google Scholar 

  10. Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2, 192–222 (1991)

    Google Scholar 

  11. Thompson, R.L., Higgins, C.A., Howell, J.M.: Personal computing: Toward a conceptual model of utilization. MIS Quarterly 15, 125–143 (1991)

    Article  Google Scholar 

  12. Sowray, D.M.: Designing information systems for maximum use in a dealing room environment. BEHAVIOUR & Information Technology 17(4), 203–217 (1998)

    Article  Google Scholar 

  13. Scholtz, J.: Metrics for evaluating human information, interaction systems. Interacting with Computers 18, 507–527 (2006)

    Article  Google Scholar 

  14. Shi, W., Yang, B., Li, Q.: An object-oriented data model for complex objects in three-dimensional geographical information systems. International Journal of Geographical Information Science 17(5), 411–430 (2003)

    Article  Google Scholar 

  15. McClelland, D.C.: Testing for Competency rather than for Intelligence. American Psychologist 28, 1–14 (1973)

    Article  Google Scholar 

  16. Hwang, G.T.: Re-Lighting Competency concept for Human Resource Systems, sungkyungkwan University Management Research Center (2000)

    Google Scholar 

  17. Yoon, C.Y.: A study on Development of an Integrated Evaluation Systems for Personal Informatization and Maturity Level Measurement. Computer & Industrial Engineering, YONSEI University (2003)

    Google Scholar 

  18. Lucia, A.D., Lepsinger, R.: The Art & Science of Competency Models: Pinpointing Critical Success Factors in Organizations. HR Magazine 45(1), 140–141 (2000)

    Google Scholar 

  19. Yun, Y.S: Developing Competency-Based Curriculum in Enterprise Education: Cases of Motorola University and LG Electronics. Enterprise Education Research Center 1(1), 103–123 (1998)

    Google Scholar 

  20. O’Driscoll, M.P., Eubanks James, L.: Behavioral Competencies, Goal Setting, and OD Practitioner Effectiveness. Group & Organization Management 18(3), 308–327 (1993)

    Article  Google Scholar 

  21. McCoy, R.W.: Computer Competencies for The 21st Century Information Systems Education. Information Technology, Learning, and Performance Journal 19(2), Fall (2001)

    Google Scholar 

  22. Jenkins, W.E., McHarg, E.: Developing professional excellence, Professional Safety, pp. 17–20 (June 1988)

    Google Scholar 

  23. Westbrook, B.W.: The Relationship between Career Choice Attitudes and Career Choice Competencies of Black 9th-Grade Pupils. Educational and Psychological Measurement 52, 347–351 (1992)

    Article  Google Scholar 

  24. Rifkin, K.I., Fineman, M., Ruhnke, C.H.: Developing Technical Managers-Fist You Need a Competency Model, Research & Technology Management, pp.53–57, Industrial Research Institute, Inc. (March-April 1999)

    Google Scholar 

  25. Yu, E.J., Leem, C.S., Park, S.K., Kim, B.W.: An Integrated Evaluation System for Personal Informatization Levels and Their Maturity Measuement: Korean Motors Company Case, In: International Conference on Control, Automation and Systems 2005, pp. 1306 – 1315 (2005)

    Google Scholar 

  26. chai, S.i.: Social science research method, Hacyounsam (2001)

    Google Scholar 

  27. Kang, B.S.: Research Method for Factor analysis, MooYuckkyoungyoungsa (1999)

    Google Scholar 

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Julie A. Jacko

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© 2007 Springer-Verlag Berlin Heidelberg

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Yu, E.J., Choi, Y., Leem, C.S. (2007). A User-Oriented Assessment of Enterprise Information Systems . In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Applications and Services. HCI 2007. Lecture Notes in Computer Science, vol 4553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73111-5_92

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  • DOI: https://doi.org/10.1007/978-3-540-73111-5_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73109-2

  • Online ISBN: 978-3-540-73111-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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