- 1 Aaen, I., Siltanen, A., S~rensen, C. and Tahvanainen V.-P. A tale of two countries: CASE experiences and expectations. In Kendall, K.E., Lyytinen, K. and DeGross, J., Eds. The Impact of Computer Supported Technologies on Information Systems Development, 1FIP Transactions A-8, North-Holland, Amsterdam, 1992, 61-91. Google ScholarDigital Library
- 2 Banker, R.D. and Kauffman, RJ. Reuse and productivity in integrated computeraided software engineering: An empirical study. MIS Q. 15, 3 (1991), 375-401. Google ScholarDigital Library
- 3 Cooper, R.B. and Zmud, R.W. Information technology implementation research: A technology diffusion approach. Manage. Sci. 36, 2 (1990), 23-139. Google ScholarDigital Library
- 4 Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. User acceptance of computer technology: A comparison of two theoretical models. Manage. Sci. 35, 8 (1989), 982-1003. Google ScholarDigital Library
- 5 Fichman, R.G. Information technology diffusion: A review of empirical research. In DeGross, J.I., Becker, J.D. and Elam, JJ, Eds., Proceedings of the Thirteenth International Conference on Information Systems, (Dallas, TX, 1992), pp. 195-206. Google ScholarDigital Library
- 6 Finlay, P.N. and Mitchell, A.C. Perceptions of the benefits from introduction of CASE: An empirical study. MIS Q. 18, 4, (1994), 353-370. Google ScholarDigital Library
- 7 Hair, J.F. Jr., Anderson, R.E., Tatham, R.L. and Black, W.C. Multivariate Data Analysis with Readings. Macmillan, New York, 1992. Google ScholarDigital Library
- 8 Hartwick, J. and Barki, H. Explaining the role of user participation in information system use. Manage. Sci. 40, 4 (1994), 440-465. Google ScholarDigital Library
- 9 Hertel, B.R. Minimizing error variance introduced by missing data routines in survey analysis. Sociological Methods and Research, 4 (1976), 459-474.Google ScholarCross Ref
- 10 Hofstede, G. Cultures and Organizations: Software for the Mind. McGraw-Hill, London, 1991.Google Scholar
- 11 Huff, C.C. Elements of a realistic CASE tool adoption budget. Commun. ACM 35, 4 (1992), 45-54. Google ScholarDigital Library
- 12 Iivari, J. Factors affecting CASE usage. Working paper, Department of Information Processing Science, University of Oulu, 1996 (available from the author).Google Scholar
- 13 Kemerer, C.F. How the learning curve affects CASE tool adoption. IEEE Software 9, 3 (1992), 23-28. Google ScholarDigital Library
- 14 Kusters, RJ. ja Wijers, G.M. On the practical use of CASE-tools: results of a survey, CASE'93. In Proceedings of the 6th International Workshop on CASE (Singapore, 1993), IEEE Computer Society Press, pp. 2-10.Google Scholar
- 15 Lucas, H.C.,Jr. Implementation, the Key to Successful Information Systems. Columbia University Press, New York, 1981. Google ScholarDigital Library
- 16 Moore, G.C. and Benbasat, I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2, 3 (1991 ), 192-222.Google ScholarDigital Library
- 17 Norman, RJ. and Nunamaker, J.F. Jr. CASE productivity perceptions of software engineering professionals. Commun. ACM 32, 9 (Sept. 1989), pp. 1102-1108. Google ScholarDigital Library
- 18 Nunally, J.C. Psychometric Theory. McGraw-Hill, New York, 1978.Google Scholar
- 19 Orlikowski, W.J. CASE tools as organizational change: Investigating incremental and radical changes in systems development. MISQ. 17, 3 (1993), 309-340.Google ScholarDigital Library
- 20 Prescott, M.B. and Conger, S.A. Information technology innovations: A classification by IT locus of impact and research approach. The DATABASE for Advances in Information Systems 26, 2 & 3 (1995), 20-41. Google ScholarDigital Library
- 21 Rai, A. and Howard, G.S. Propagating CASE usage for software development: An empirical investigation of key organizaational correlates. Omega 22, 2 (1994), 133-147.Google ScholarCross Ref
- 22 Ramiller, N. Perceived compatibility of information technology innovations among secondary adopters: Towards reassessment. J. Engineering and Technology Management 11, 1 (1994), 1-23.Google ScholarCross Ref
- 23 Rogers, E.M. Diffusion of Innovations, Fourth Edition. The Free Press, New York, 1995.Google Scholar
- 24 Straub, D., Limayem, M. and Karahanna-Evaristo, E. Measuring systems usage: Implications for IS theory testing. Manag. Sci. 41, 8 (1995), 1328-1342. Google ScholarDigital Library
- 25 Wynekoop, J.L., Senn, J.A. and Conger, S.A. The implementation of CASE tools: An innovation diffusion approach, Kendall, K.E., Lyytinen, K. and DeGross, J., Eds., The Impact of Computer Supported Technologies on Information Systems Development, IFIP Transactions A-8, North-Holland, Amsterdam, 1992, 25-41. Google ScholarDigital Library
Index Terms
- Why are CASE tools not used?
Recommendations
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