Richard, Pierre J. and Coltman, Tim and Keating, Byron W. (2009): Designing IS service strategy: an information acceleration approach. Published in: European Journal of Information Systems , Vol. 21, No. 2 (2012): pp. 87-98.
Download (328kB) | Preview
Information 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.
|Item Type:||MPRA Paper|
|Original Title:||Designing IS service strategy: an information acceleration approach|
|English Title:||Designing IS Service Strategy: An Information Acceleration Approach|
|Keywords:||Experimental research; IS service strategy; decision-making; discrete choice analysis; information acceleration|
|Subjects:||D - Microeconomics > D0 - General > D03 - Behavioral Economics; Underlying Principles
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C25 - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
O - Economic Development, Technological Change, and Growth > O1 - Economic Development > O14 - Industrialization; Manufacturing and Service Industries; Choice of Technology
|Depositing User:||Byron W. Keating|
|Date Deposited:||04. Aug 2012 23:56|
|Last Modified:||25. Feb 2013 09:56|
ANDERSON NH (1981) Foundations of Information Integration Theory. Academic Press, New York.
ARMSTRONG JS and OVERTON TS (1977) Estimating non-response bias in mail surveys. Journal of Marketing Research 16(August), 396–402.
AZEVEDO CD, JA HERRIGES, and CL KLING (2003) Combining revealed and stated preferences: consistency tests and their interpretations. American Journal of Agricultural Economics, 85(3), 525–537.
BARON J (1994) Thinking and Deciding. Cambridge: Cambridge university Press.
BEN-AKIVA M and LERMAN S (1985) Discrete choice analysis. MIT Press, Cambridge, Massachusetts.
BENBASAT I, GOLDSTEIN D and MEAD M (1987) The case research strategy in studies of information systems. MIS Quarterly 11(3), 369–386.
BERNOULLI D (1738) Specimen theoriae novae de mensura sortis. Comentarii Academiae Scieniarum Imperiales Petropolitanae, 5, 175-192.
BETTMAN JR, LUCE MF and PAYNE JW (1998) Constructive consumer choice processes. Journal of Consumer Research 25(3), 187–217.
BOWEN H and WIERSEMA M (1999) Matching method to paradigm in strategy research: limitations of cross-sectional analysis and some methodological alternatives. Strategic Management Journal 20(7), 625–636.
BROADBENT M and WEILL P (1997) Management by maxim: how business and IT managers can create IT infrastructures. Sloan Management Review Spring, 77–92.
BRYNJOLFSSON E and HITT LM (2000) Beyond computation: information technology, organizational transformation and business performance. Journal of Economic Perspectives 14(4), 23–48.
BRYNJOLFSSON E and SCHRAGE M (2009) The New, Faster Face of Innovation. Forthcoming MIT Sloan Management Review, Accessed online August 17, http://sloanreview.mit.edu/business-insight/articles/2009/3/5131/the-new-faster-face-of-innovation/
BURGESS L and STREET DJ (2005) Optimal designs for choice experiments with asymmetric attributes. Journal of Statistical Planning and Inference 134, 288–301.
CHEON MJ, GROVER V and SABHERWAL R (1993) The evolution of empirical research in IS: a study in IS maturity. Information & Management 24, 107–119.
COLTMAN T, DEVINNEY TM and LOUVIERE JJ (2006) Fast forwarding consumer experience: the use of information acceleration to predict future consumer preferences. In Proceeding of the Asia Pacific ACR Conference, Sydney, 16-17 June.
COLTMAN T, DEVINNEY TM and MIDGLEY DF (2007) e-business strategy and firm performance: a latent class assessment of the drivers and impediments to success. Journal of Information Technology 22, 87–101.
DEVINNEY TM, LOUVIERE JJ and COLTMAN T (2004) Utilizing rich multimedia methods for the elicitation of preferences for radical future technologies. In Proceedings of the ESOMAR Conference in Marketing: Where Science Meets Practice, pp271–288, 10-12 October, Warsaw, Poland.
DILLMAN DA (2000) Mail and Internet Surveys: The Tailored Design Method. John Wiley and Sons, New York. DUBIE D (2007) What CEOs really think of CIOs. Network World February 8.
FEENY D and WILLCOCKS L (1998) Core IS capabilities for exploiting information technology. Sloan Management Review 39(3), 9–21.
FESTINGER L (1957) A Theory of Cognitive Dissonance. Stanford University Press, Stanford, California.
FISHBURN PC (1974) Lexicographic orders, utilities and decision rules: a survey. Management Science 11, 1442–1471.
GIGERENZER G (1996) On narrow norms and vague heuristics: a reply to Kahneman and Tversky. Psychological Review 103(3), 592–596.
HATCH NW and DYER JH (2004) Human capital and learning as a source of sustainable competitive advantage. Strategic Management Journal 25(12), 1155–1178.
HAUSMAN J and MCFADDEN DL (1984) Specification tests for the multinomial logit model. Econometrica 52(5), 1219–1240.
HENSHER DA and JOHNSON L (1980) Applied Discrete Choice Modelling. Croom Helm, London, United Kingdom.
IM KS and GROVER V (2003) The use of structural equation modeling in IS research: a review and recommendations. In Handbook of Information Systems Research (WHITMAN ME and
WOSZCZYNSKI A, Eds), pp 44–65, Idea Group Publishing, Hershey, Pennsylvania.
JOHNSON, EG, BELLMAN, S and LOHSE, G (2003) Cognitive lock-in and the power law of practice. Journal of Marketing, 67(2), 62-75.
KAISER K and BOSTROM R (1982) Personality characteristics of MIS project teams: an empirical study and action research design. MIS Quarterly 6(4), 43–60.
KAHNEMAN D and TVERSKY A (1979) Prospect theory: an analysis of decisions under risk. Econometrica 47(2), 313–327.
KAHNEMAN D (1991) Judgment and decision making: a personal view. Psychological Science 2, 141–145.
KATHURIA R, ANANDARAJAN M and IGBARIA M (1999) Linking IT applications with manufacturing strategy. Decision Sciences 30(4), 959–991.
KLEIN KJ, DANSEREAU F and HALL RJ (1994) Levels issues in theory development, data collection, and analysis. Academy of Management Review 19, 195–229.
KRIEGER A, GREEN P, LODISH L, DARCANGELO J, ROTHEY C and THIRTY P (2003) Consumer evaluations of really new services: the TrafficPulse system. Journal of Services Marketing 17(1), 6–36.
KRUGLANSKI AW and WEBSTER DM (1996) Motivated closing of the mind: seizing and freezing. Psychological Review 103(2), 263–83.
LARSEN K (2003) A taxonomy of antecedents of information systems success: variable analysis studies. Journal of Management Information Systems 20(2), 169–246.
LEE AS (1989) A scientific methodology for MIS case studies. MIS Quarterly 13(1), 33–50.
LEWIS W, AGARWAL R and SAMBAMURTHY V (2003) Sources of influence on beliefs and IT use: an empirical study of knowledge workers. MIS Quarterly 27(4), 657–678.
LITTLE D (1970) Models and managers: the concept of a decision calculus Management Science 16(8), 466–85.
LOUVIERE JJ, HENSHER D and SWAIT J (1999) Combining sources of preference data. Journal of Econometrics 89, 197–221.
LOUVIERE JJ, HENSHER, D and SWAIT, J (2000) Stated Choice Methods: Analysis and Applications. Cambridge University Press, Cambridge, United Kingdom.
LUCE RD and SUPPES P (1965) Preference, utility, and subjective probability. In Handbook of Mathematical Psychology Vol 3 (Luce RD, Bush RR and Galanter E, Eds), pp 249–410, Wiley, New York.
LYE A, SHAO W, RUNDLE-THIELE S and FAUSNAUGH C (2005) Decision waves: consumer decisions in today's complex world. European Journal of Marketing 39 (1/2), 216–230.
LYYTINEN K and ROBEY D (1999) Learning failure in information systems development. Information Systems Journal 9(2), 85–101.
MARCH JG and SIMON HA (1958) Organizations New York, John Wiley.
MCFADDEN DL (2001) Economic choices. American Economic Review 91(3), 351–378.
MCFADDEN DL, BEMMAOR AC, CARO FG, DOMINITZ J, JUN BH, LEWBEL A, MATZKIN RL, MOLINARI F, SCHWARZ N, WILLIS RJ and WINTER JK (2005) Statistical analysis of choice experiments and surveys. Marketing Letters 16(3/4), 183–196.
MELVILLE N, KRAEMER K and GURBAXANI V (2004) Information technology and organizational performance: an integrative model of IT business value. MIS Quarterly 28(2), 283–322.
MORRISON CJ (1996) Assessing the productivity of information technology equipment in US manufacturing industries. Review of Economics and Statistics 79(3), 471–81.
PAYNE JW, BETTMAN JR and JOHNSON EJ (1993) The Adaptive Decision Maker. Cambridge University Press, New York.
POWELL T and DENT-MICALLEF A (1997) Information technology as competitive advantage: the role of human, business and technology resources. Strategic Management Journal 18(5), 375–405.
RAGHU TS, SINHA R, VINZE A and BURTON O (2009) Willingness to Pay in an Open Source Software Environment. Information Systems Research, 20(2), 218–236.
REBER AS and MILLWARD RB (1968) Event observation in probability learning. Journal of Experimental Psychology 77, 317–327.
RICHARD PJ and DEVINNEY TM (2005) Modular strategies: B2B technology and architectural knowledge. California Management Review 47(4), 86–113.
RUSSO JE and DOSHER BA (1983) Strategies for multi-attribute binary choice. Journal of Experimental Psychology: Learning, Memory and Cognition 9, 676–696.
SAUER C and CUTHBERTSON C (2003) The State of IT Project Management in the UK 2002-2003. Templeton College, Oxford, United Kingdom.
SCHÖN DA (1983) The Reflective Practitioner: How Professionals Think in Action. Temple Smith Reflective Practice, London, United Kingdom.
SCHWENK C (1986) Information, cognitive bias, and commitment to a course of action. Academy of Management Review 11, 298–310.
SIMON HA (1955) A behavioral model of rational choice. The Quarterly Journal of Economics 69(1), 99–118.
STEVENSON MK, BUSEMEYER JR and NAYLOR JC (1990) Judgment and decision-making theory. In Handbook of Industrial and Organizational Psychology (DUNNETTE MD and HOUGH LM, Eds), pp 283–374, Consulting Psychologists Press, Palo Alto, California.
STREET DJ, BURGESS L and LOUVIERE JJ (2005) Quick and easy choice sets: constructing optimal and nearly optimal stated choice experiments. International Journal of Research in Marketing 22, 459–470.
SWELLER J (1988) Cognitive load during problem solving: effects on learning. Cognitive Science 12(1), 257–285.
SWAIT J and BEN-AKIVA M (1987) Incorporating random constraints in discrete models of choice set generation. Transportation Research Part B: Methodological 21(2), 91–102.
SWANSON EB and RAMILLER NC (2004) Innovating mindfully with information technology. MIS Quarterly 28(4), 553–583.
TAUSSIG F (1912) Principles of Economics. Macmillan, New York.
TEECE DJ (1986) Profiting from technological innovation. Research Policy 15(6), 285–305.
THURSTONE LL (1927) A law of comparative judgment. Psychological Review 34, 273–286.
TIPPINS MJ and SOHI RS (2003) IT competency and firm performance: is organizational learning a missing link? Strategic Management Journal 24, 745–761.
TVERSKY A (1972) Elimination by aspects: a theory of choice. Psychological Review 79, 281–299.
TVERSKY A and KAHNEMAN D (1974) Judgement under uncertainty: heuristics and biases. Science 185, 1124–1130.
URBAN GL, WEINBERG BD and HAUSER JR (1996) Premarket forecasting of really-new products. Journal of Marketing 60(1), 47–60.
URBAN GL, HAUSER JR, QUALLS WJ, WEINBERG BD, BOHLMAN JD and CHICOS RA (1997) Information acceleration: validation and lessons from the field. Journal of Marketing Research 34(2), 143–153.
VON NEUMANN J and MORGENSTERN O (1947) Theory of Games and Economic Behavior. Princeton University Press, Princeton, New Jersey.
WOOD-HARPER T (1985) Research methods in information systems: using action research. In Research Methods in Information Systems (MUMFORD E, HIRSCHHEIM R, FITZGERALD G and WOOD-HARPER T, Eds), pp 169–191, North-Holland, Amsterdam.