A High-Tech Product Market Share Model with Customer Expectations

In a product category based on dynamic technology, new products enter the market in rapid succession, and the competitive situation changes almost daily. Because technological features of available products tend to improve while prices tend to decline, customers develop expectations that may influence their purchase decisions. We model the impact of customer expectations regarding price and technology on product market share in the personal computer industry, finding significant nonlinear effects of both. These effects are observed when actual product price and/or technology differ from expectations by a threshold amount. Our results suggest implementable implications for high-tech product managers: in particular, price and technology should meet, but not exceed, customer expectations. This does not mean that managers should strive for mediocrity; rather, continuous improvement should be implemented so that product development efforts lead customer expectations.

[1]  Anirudh Dhebar Durable-Goods Monopolists, Rational Consumers, and Improving Products , 1994 .

[2]  Eileen Bridges Service attributes: Expectations and judgments , 1993 .

[3]  G. Kalyanaram,et al.  Dynamic Effects of the Order of Entry on Market Share, Trial Penetration, and Repeat Purchases for Frequently Purchased Consumer Goods , 1992 .

[4]  Eileen Bridges,et al.  Marketplace Competition in the Personal Computer Industry , 1992 .

[5]  Manohar U. Kalwani,et al.  Consumer Price and Promotion Expectations: An Experimental Study , 1992 .

[6]  Anne T. Coughlan,et al.  New technology adoption in an innovative marketplace: Micro- and macro-level decision making models , 1991 .

[7]  P. Ghemawat Market Incumbency and Technological Inertia , 1991 .

[8]  Manohar U. Kalwani,et al.  A Price Expectations Model of Customer Brand Choice , 1990 .

[9]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[10]  Nigel Meade,et al.  Technological substitution: A framework of stochastic models , 1989 .

[11]  C. Narasimhan Incorporating Consumer Price Expectations in Diffusion Models , 1989 .

[12]  R. Bucklin,et al.  Reference Effects of Price and Promotion on Brand Choice Behavior , 1989 .

[13]  G. Day,et al.  Evolutionary Processes in Competitive Markets: Beyond the Product Life Cycle , 1989 .

[14]  T. Modis,et al.  Innovation in the computer industry , 1988 .

[15]  W. T. Robinson Sources of Market Pioneer Advantages: The Case of Industrial Goods Industries , 1988 .

[16]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[17]  R. Oliver,et al.  A framework for the formation and structure of consumer expectations: Review and propositions , 1987 .

[18]  F. Bass,et al.  A diffusion theory model of adoption and substitution for successive generations of high-technology products , 1987 .

[19]  Russell S. Winer,et al.  A reference price model of brand choice for frequently purchased products. , 1986 .

[20]  Gary L. Lilien,et al.  A market entry timing model for new techniques , 1986 .

[21]  S. Kalish A New Product Adoption Model with Price, Advertising, and Uncertainty , 1985 .

[22]  C. Fornell,et al.  Sources of Market Pioneer Advantages in Consumer Goods Industries , 1985 .

[23]  John Saunders,et al.  The Lead Effect of Marketing Decisions , 1985 .

[24]  Russell S. Winer,et al.  Technical Note---A Price Vector Model of Demand for Consumer Durables: Preliminary Developments , 1985 .

[25]  Barbara B. Jackson,et al.  Winning and keeping industrial customers : the dynamics of customer relationships , 1985 .

[26]  Yves Balcer,et al.  Technological expectations and adoption of improved technology , 1984 .

[27]  J. Sobel,et al.  Cyclic Pricing by a Durable Goods Monopolist , 1984 .

[28]  P. Herr,et al.  On the consequences of priming: Assimilation and contrast effects , 1983 .

[29]  M. Wickens,et al.  The Efficient Estimation of Econometric Models with Rational Expectations , 1982 .

[30]  Preferences Scientific Kahneman, Daniel, and Amos Tversky. , 1982 .

[31]  A. Tversky,et al.  Judgment under Uncertainty , 1982 .

[32]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[33]  W. W. Muir,et al.  Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .

[34]  H. White A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[35]  Kenneth F. Wallis,et al.  Econometric Implications of the Rational Expectations Hypothesis , 1980 .

[36]  A. Tversky,et al.  Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .

[37]  B. Ratchford,et al.  A Study of Prices and Market Shares in the Computer Mainframe Industry: Comment , 1979 .

[38]  K. B. Monroe,et al.  Contextual influences on subjective price perceptions , 1977 .

[39]  B. Mccallum Rational Expectations and the Estimation of Econometric Models: AnAlternative Procedure , 1976 .

[40]  B. Mccallum Rational Expectations and the Natural Rate Hypothesis: Some Consistent Estimates , 1976 .

[41]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[42]  Rolph E. Anderson,et al.  Consumerism, Consumer Expectations, and Perceived Product Performance , 1972 .

[43]  G. Haines,et al.  The Theory of Buyer Behavior. , 1970 .

[44]  H. Helson,et al.  Adaptation-level theory , 1964 .

[45]  Koch Sigmund Ed,et al.  Psychology: A Study of A Science , 1962 .

[46]  A. Zellner An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .

[47]  F. John MUTH, . Rational Expectations and the Theory of Price Movements, Econometrica, , . , 1961 .

[48]  Marc Nerlove,et al.  Adaptive Expectations and Cobweb Phenomena , 1958 .

[49]  Robert Ferber,et al.  The railroad shippers' forecasts , 1953 .

[50]  J. Hicks,et al.  Value and Capital , 2017 .