An empirical study of IT management and rapid IT change

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An empirical study of IT management and rapid IT change

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Special Interest Group on Computer Personnel Research Annual Conference archive
Proceedings of the 1999 ACM SIGCPR conference on Computer personnel research table of contents

New Orleans, Louisiana, United States

Pages: 144 - 153

Year of Publication: 1999

ISBN:1-58113-063-5

Authors

John “Skip” Benamati	Richard T. Farmer School of Business Administration, Miami University, Oxford, OH
Albert L. Lederer	C.M. Gatton College of Business and Economics, University of Kentucky, Lexington, KY

Sponsor

SIGCPR: ACM Special Interest Group on Computer Personnel Research

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 10, Downloads (12 Months): 54, Citation Count: 1

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Thomas J. Allen , Michael Scott Morton, Information Technology and the Corporation of the 1990s: Research Studies, Oxford University Press, 1994
	2	Anderson, J. C. and Gerbing, D. W. 1988, Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach: Psychological Bulletin, 103(3): 411-423.
	3	John Benamati , Albert L. Lederer , Meenu Singh, Changing information technology and information technology management, Information and Management, v.31 n.5, p.275-288, Jan. 1997 [doi>10.1016/S0378-7206(96)01091-9]
	4	Benjamin, R.I. and Blunt, J. 1992. Critical IT Issues: The Next Ten Years, Sloan Management Review, Summer: 7-19.
	5	Benjamin, R.I. and Levinson, E. 1993 A Framework for Managing IT-Enabled Change: Sloan Management Review, Summer: 23-33.
	6	Bentler, P. M. and Bonett, D. G. 1980. Significance Tests and Goodness of Fit in the Analysis of Covariance Structures: Psychological Bulletin, 88, 588-606.
	7	Bentler, P. M. 1989. EQS Structural Equations Program Manual. BMDP Statistical Software, Los Angeles, CA.
	8	Berry, W. D. and Feldman, S. 1985 Multiple Regression in Practice, Sage Publications, Beverly Hills, CA.
	9	Boar, B. H., 1994 Logic and Information Technology Strategy: Separating Good Sense from Nonsense: Journal of Systems Management, 45(5), May, pp. 16-21.
	10	Carey, D. 1992. Rating the Top MIS Issues in Canada: Canadian Datasystems, June: 23-25.
	11	Cattell, R. B. 1966. The Scree Test for the Number of Factors: Multivariate Behavior Research, 1,245-276.
	12	Computerworld 1995, CIOs Still feel Beseiged: ComputerWorld, August 14: 72.
	13	Ralph B D'Agostino , Michael A Stephens, Goodness-of-fit techniques, Marcel Dekker, Inc., New York, NY, 1986
	14	Davis, G. B. and Weber, R. 1983. Auditing Advanced EP Systems: A Survey of Practice and Development of a Theory, The Limperg Institute, The Netherlands.
	15	Dill, W.R. I958. Environment as an Influence on Managerial Autonomy' Administrative Science, 3(2): 409-443.
	16	Emery, F. E. and Trist, E. L. 1965. The Causal Texture of Organizational Environments: Human Relations, 18:21-32.
	17	Geisler, E. 1992. Managing Information Technologies in Small Business: Some Practical Lessons and Guidelines' Journal of General Management, 18(1): Autumn: 74-81.
	18	Larry Hatcher, A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling, SAS Publishing, 1994
	19	Hoyle, R. H. 1995. The Structural Equation Modeling Approach: Basic Concepts and Fundamental Issues: in Structural Equation Modeling, Sage Publications, Thousand Oaks, CA. (Hoyle ed.) 1-15.
	20	Hoyle, R. H. and Panter, A. T. 1995. Writing About Structural Equation Models' in Structural Equation Modeling, Sage Publications, Thousand Oaks, CA. (Hoyle ed.) 158-176.
	21	Joreskog, K. G. 1993. Testing Structural Equation Models: in Testing Structural Equation Models, Sage Publications, Newbury Park, CA. (Bollen and Long eds.) 294-316.
	22	Kaiser, H. F. 1960. The Application of Electronic Computers to Factor Analysis: Educational and Psychological Measurement, 20, 141-151.
	23	Katz, D. and Kahn, R. L. 1966. The Social Psychology of Organizations, John Wiley and Sons, New York, NY.
	24	Peter G. W. Keen, Information systems and organizational change, Communications of the ACM, v.24 n.1, p.24-33, Jan. 1981 [doi>10.1145/358527.358543]
	25	Peter G. W. Keen, Shaping the future: business design through information technology, Harvard Business School Press, Boston, MA, 1991
	26	Kotter, J. P. 1979. Managing Extemal Dependence: Academy of Management Review, 4(1): 87-92.
	27	Lawrence, P. R. and Lorsch, L. W. 1967. Organization and Environment, Harvard University Press, Boston, MA.
	28	Lederer, A. L. and Mendelow, A. L. 1990. The Impact of the Environment on the Management of information Systems: Information Systems Research, 1(2): June: 205-222.
	29	Lewin, K. 1947. Frontiers in Group Dynamics: Human Relations, 1: 2-38.
	30	Nunnally, J. 1978. Psychometric Theory, McGraw Hill, New York, NY.
	31	Orlikowski, W. J. & Robey, D. 1991. Information Technology and the Structuring of Organizations: Information Systems Research, 2(2): June: 143-169.
	32	Paul, S. 1994. European IS Managers Get Down to Business: Datamation, 40(4): March 1: 78-84.
	33	Pfeffer, J. 1982. Organizations and Organization Theory, Pitman, Boston, MA.
	34	Porter, M. E. 1980. Competitive Strategy, Free Press, New York, NY.
	35	CORPORATE SAS Institute Inc. Staff, SAS-STAT User's Guide: release 6.03 edition, SAS Institute Inc., Cary, NC, 1988
	36	Michael Scott Morton , Lester C. Thurow, Corporation of the 1990s: Information Technology and Organizational Transformation, Oxford University Press, 1990
	37	J Stevens, Applied multivariate statistics for the social sciences, Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 1986
	38	Thompson, J. D. 1967. Organizations in Action, McGraw Hill, New York, NY.
	39	White, H. 1980. A Heteroskedasticity,Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity: Econometrica, 48(4): May: 817-838.
	40	Wothke, W. 1993. Nonpositive Definite Matrices in Structural Modeling: in Testing Structural Equation Models, Sage Publications, Newbury Park, CA. (Bollen and Long eds.) 256-293.
	41	Younger, M. S. 1979. Handbook for Linear Regression, Duxbury Press, North Scituate, MA.