Performance measure of information systems (IS) in evolving computing environments: An empirical investigation

Information and Management

Volumn 40, Issue 4, 2003, Pages 243-256

  Heo, Jaeho ^a   Han, Ingoo ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

IS evaluation; IS evolution; IS structure; Measure of IS performance

Indexed keywords

DECISION MAKING; ECONOMICS; INFORMATION SCIENCE; PRODUCTIVITY; QUALITY CONTROL; STRATEGIC PLANNING;

INFORMATION SYSTEMS (IS);

INFORMATION MANAGEMENT;

EID: 0037370231     PISSN: 03787206     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-7206(02)00007-1     Document Type: Article

References (49)

1. Ahituv N. A systematic approach toward assessing the value of an information system. MIS Quarterly. 4(4):1980;61-75.
2. Ahituv N., Neumann S., Zviran M. Factors affecting the policy for distributing computing resources. MIS Quarterly. 13(4):1989;389-401.
3. K.D. Bailey, Typologies and Taxonomies: An Introduction to Classification Techniques, Sage, London, 1994.
4. Ballantine J., Levy M., Martin A., Munro I., Powell P. The 3-D model of information systems success: the search for the dependent variable continues. Information Resources Management Journal. 9(4):1996;5-14.
5. Ballantine J., Levy M., Powell P. Evaluating information systems in small and medium-sized enterprises: Issues and evidence. European Journal of Information Systems. 7:1998;241-251.
6. I. Brovits, S. Neuman, Computer Systems Performance Evaluation, Heath, Lexington, 1979.
7. Brynjolfsson E. The productivity paradox of information technology. Communications of the ACM. 41(8):1993;67-77.
8. Choe J.M. The relationships among performance of accounting information systems, influence factors, and evolution level of information systems. Journal of Management Information Systems. 12(4):1996;215-239.
9. Clark T.D. Corporate systems management: an overview and research perspective. Communications of the ACM. 35(2):1992;61-75.
10. Coe L.R. Five small secrets to systems success. Information Resources Management Journal. 9(4):1996;29-38.
11. Das S.R., Zahra S.A., Warkentin M.E. Integrating the content and process of strategic MIS planning with competitive strategy. Decision Sciences. 22:1991;953-984.
12. G.B. Davis, M.H. Olson, Management Information Systems: Conceptual Foundations, Structure, and Development, McGraw-Hill, New York, 1985.
13. DeLone W.H., McLean E.R. Information systems success: the quest for the dependent variable. Information Systems Research. 3(1):1992;60-95.
14. Ein-Dor P., Segev E. Organizational context and the success of management information systems. Management Science. 24(10):1978;55-68.
15. Farbey B., Land F., Targett D. Moving IS evaluation forward: learning themes and research issues. Journal of Strategic Information Systems. 8(2):1999;189-207.
16. Fiedler K.D., Grover V., Teng J.T.C. An empirically derived taxonomy of information technology structure and its relationship to organizational structure. Journal of Management Information Systems. 13(1):1996;9-34.
17. Floyd S.W., Zahra S.A. The effect of fit between competitive strategy and IT adoption on organizational performance in small banks. Technology Analysis and Strategic Management. 2(4):1990;357-372.
18. Gibson C.F., Nolan R.L. Managing the four stages of EDP growth. Harvard Business Review. 52(1):1974;76-88.
19. Hamilton S., Chervany N.L. Evaluating information system effectiveness. 1. Comparing evaluation approaches. MIS Quarterly. 5(3):1981;55-69.
20. Hitt L.M., Brynjolffson E. Productivity, business profitability, and consumer surplus: three different measures of IT value. MIS Quarterly. 20(2):1996;121-142.
21. Hodgkinson S.L. IT structures for the 1990s: organization of IT functions in large companies: a survey. Information and Management. 22:1992;161-175.
22. Hoogeweegen M.R., Wagenaar R.W. A method to assess expected net benefits of EDI investments. International Journal of Electronic Commerce. 1(1):1996;73-94.
23. Ishman M.D. Measuring information success at the individual level in cross-cultural environments. Information Resources Management Journal. 9(4):1996;16-28.
24. Jurison J. The temporal nature of IS benefits: a longitudinal study. Information and Management. 30(2):1996;75-79.
25. R.M. Kanter, The Change Masters, Simon & Schuster, New York, 1983.
26. King W.R., Rodriguez J.I. Evaluating management information systems. MIS Quarterly. 2(3):1978;43-51.
27. Kumar K. Post implementation evaluation of computer-based information systems: current practices. Communications of the ACM. 33(2):1990;203-212.
28. L.A. Laurinec, Y.G. Kim, IT investment and organizational performance: an elusive link, in: Proceedings of the International Conference on PRISM'94, January 1994, pp. 104-112.
29. Lee S., Leifer R. A framework of linking the structure of information systems and organizational requirements for information sharing. Journal of Management information systems. 8(4):1992;27-44.
30. Leifer R. Matching computer-based information systems with organizational structures. MIS Quarterly. 12(1):1988;63-73.
31. Louadi M.E. The relationship among organization structure, information technology and information processing in small Canadian firms. Canadian Journal of Administrative Science. 15(2):1998;180-199.
32. J.E. Maglitta, Beyond ROI, ComputerWorld, 27 October 1997.
33. T.A. May, Annual IT Budget? Kill It, ComputerWorld, 21 March 2001.
34. Miles R.E., Snow C.C., Myer A.D., Coleman H.J. Organizational strategy, structure, and process. Academy of Management Review. 3(4):1978;546-562.
35. J. Miller, Measuring and aligning information systems with the organization, Information and Management 25 (1993) 217-228.
36. Mitra S., Chaya A.K. Analyzing cost-effectiveness of organizations: the impact of information technology spending. Journal of Management Information Systems. 13(2):1996;29-57.
37. Myers B.L., Kappleman L.A., Prybutok V.R. A comprehensive model for assessing the quality and productivity of the information systems function: toward a theory for information systems assessment. Information Resources Management Journal. 10(1):1997;6-25.
38. Nath R. Aligning MIS with the business goals. Information and Management. 16(2):1989;71-79.
39. Premkumar G., King W.R. An empirical assessment of information systems planning and the role of information systems in organizations. Journal of Management Information Systems. 9(2):1992;99-125.
40. Satty T.L. A Scaling method for priorities in hierarchical structure. Mathematical Psychology. 15:1977;234-281.
41. Saunders C.S., Jones J.W. Measuring performance of the information systems function. Journal of Management Information Systems. 8(4):1992;63-82.
42. Schrage M. The real problem with computers. Harvard Business Review. 75(5):1997;178-183.
43. Scott J.E. The measurement of information systems effectiveness: evaluating a measuring instrument. Database Advances. 26(1):1995;43-58.
44. Scudder R.A., Kucic A.R. Productivity measures for information systems. Information and Management. 20(5):1991;343-354.
45. P. Seddon, M.Y. Kiew, A partial test and development of the DeLone and McLean model of IS success, in: Proceedings of the International Conference on Information Systems, Vancouver, Canada, 1994, pp. 99-110.
46. Tavakolian H. Linking the information technology structure with organizational competitive strategy: a survey. MIS Quarterly. 13(3):1989;309-317.
47. Teo T.S.H., King W.R. Integration between business planning and information systems planning: An evolutionary-contingency perspective. Journal of Management Information Systems. 14(1):1997;185-214.
48. Weill P., Olson M.H. An assessment of the contingency theory of management information systems. Journal of Management Information Systems. 6(1):1989;59-85.
49. Yutha K., Eining M.M. An experimental evaluation of measurements of information system effectiveness. Journal of Information Systems. 9(2):1995;69-84.