Designing IS service strategy: an information acceleration approach
AbstractInformation technology-based innovation involves considerable risk that requires insight and foresight. Yet, our understanding of how managers develop the insight to support new breakthrough applications is limited and remains obscured by high levels of technical and market uncertainty. This paper applies a new experimental method based on “discrete choice analysis” and “information acceleration” to directly examine how decisions are made in a way that is behaviourally sound. The method is highly applicable to information systems researchers because it provides relative importance measures on a common scale, greater control over alternate explanations and stronger evidence of causality. The practical implications are that information acceleration reduces the levels of uncertainty and generates a more accurate rationale for IS service strategy decisions.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 40488.
Date of creation: 21 Sep 2009
Date of revision:
Publication status: Published in European Journal of Information Systems 2.21(2012): pp. 87-98
Experimental research; IS service strategy; decision-making; discrete choice analysis; information acceleration;
Find related papers by JEL classification:
- D03 - Microeconomics - - General - - - Behavioral Microeconomics; Underlying Principles
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- O14 - Economic Development, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- McFadden, Daniel L., 2000.
Nobel Prize in Economics documents
2000-6, Nobel Prize Committee.
- McFadden, Daniel L. & Bemmaor, Albert C. & Caro, Francis G. & Dominitz, Jeff & Jun, Byung-hill & Lewbel, Arthur & Matzkin, Rosa L. & Molinari, Francesca & Schwarz, Norbert & Willis, Robert J. & Winter, 2005.
"Statistical analysis of choice experiments and surveys,"
Munich Reprints in Economics
19251, University of Munich, Department of Economics.
- Daniel McFadden & Albert Bemmaor & Francis Caro & Jeff Dominitz & Byung-Hill Jun & Arthur Lewbel & Rosa Matzkin & Francesca Molinari & Norbert Schwarz & Robert Willis & Joachim Winter, 2005. "Statistical Analysis of Choice Experiments and Surveys," Marketing Letters, Springer, vol. 16(3), pages 183-196, December.
- Hensher, David & Louviere, Jordan & Swait, Joffre, 1998. "Combining sources of preference data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 197-221, November.
- Christopher D. Azevedo & Joseph A. Herriges & Catherine L. Kling, 2003.
"Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 85(3), pages 525-537.
- Azevedo, Christopher D. & Herriges, Joseph A. & Kling, Catherine L., 2003. "Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations," Staff General Research Papers 10173, Iowa State University, Department of Economics.
- Swait, Joffre & Ben-Akiva, Moshe, 1987. "Incorporating random constraints in discrete models of choice set generation," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 91-102, April.
- Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. " Constructive Consumer Choice Processes," Journal of Consumer Research, University of Chicago Press, vol. 25(3), pages 187-217, December.
- Hausman, Jerry & McFadden, Daniel, 1984.
"Specification Tests for the Multinomial Logit Model,"
Econometric Society, vol. 52(5), pages 1219-40, September.
- D. McFadden & J. Hausman, 1981. "Specification Tests for the Multinominal Logit Model," Working papers 292, Massachusetts Institute of Technology (MIT), Department of Economics.
- Peter C. Fishburn, 1974. "Exceptional Paper--Lexicographic Orders, Utilities and Decision Rules: A Survey," Management Science, INFORMS, vol. 20(11), pages 1442-1471, July.
- Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
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