Price Elasticity Dynamics over the Adoption Life Cycle
Journal of Marketing ResearchPublished 1 August 1992
Philip M. Parker
Citations112
SJR quartileQ1
SJR score6.96
SNIP2.42
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Little empirical research has been conducted to test the dynamic behavior of elasticities over the product life cycle. Competing specifications of price elasticity dynamics are examined to test the prevailing hypothesis that elasticities increase over the adoption life cycle or diffusion process. Though not supporting the hypothesis, the empirical results suggest that certain factors, including the degree to which a product is a necessity and faces competitive substitutes, affect elasticity dynamics.
Keywords
Decision SciencesEconomics, Econometrics and FinanceBusiness, Management and Accounting
Journal of Consumer ResearchA Propositional Inventory for New Diffusion Research
1,221 Citations1985Hubert Gatignon, Thomas S. Robertson
The Structure of Economics: A Mathematical Analysis
756 Citations1978Eugene Silberberg, Wing Suen
Journal of MarketingNew Product Diffusion Models in Marketing: A Review and Directions for Research
686 Citations1990Vijay Mahajan, Eitan Muller +1 more
Management ScienceDynamic Price Models for New-Product Planning
573 Citations1975B.B. Robinson, Chet Lakhani
Journal of Marketing ResearchThe Price Elasticity of Selective Demand: A Meta-Analysis of Econometric Models of Sales
564 Citations1988Gerard J. Tellis
Marketing ScienceTechnical Note—Nonlinear Least Squares Estimation of New Product Diffusion Models
429 Citations1986V. Srinivasan, Charlotte H. Mason
Marketing ScienceMonopolist Pricing with Dynamic Demand and Production Cost
385 Citations1983Shlomo Kalish
EconometricaTesting Non-Nested Nonlinear Regression Models
384 Citations1978M. Hashem Pesaran, Angus Deaton
Management ScienceInnovation Diffusion in a Dynamic Potential Adopter Population
300 Citations1978Vijay Mahajan, Robert A. Peterson
A dynamic diffusion model is presented that relaxes this assumption of a static constant ceiling on the number of adopters and shows that the ceiling, or the potential adopter population is more likely to be dynamic.
Marketing ScienceA Nonuniform Influence Innovation Diffusion Model of New Product Acceptance
269 Citations1983Christopher Easingwood, Vijay Mahajan +1 more
Management ScienceProblems in Predicting New Product Growth for Consumer Durables
236 Citations1980Roger M. Heeler, Thomas P. Hustad
Journal of MarketingExperience Curves and Dynamic Demand Models: Implications for Optimal Pricing Strategies
236 Citations1981Robert J. Dolan, Abel P. Jeuland
Marketing ScienceOptimal Pricing Strategies for New Products in Dynamic Oligopolies
153 Citations1988Engelbert J. Dockner, Steffen Jørgensen
Journal of Marketing ResearchThe Relationship between Advertising and Product Quality over the Product Life Cycle: A Contingency Theory
147 Citations1988Gerard J. Tellis, Claes Fornell
Journal of Marketing ResearchDynamics of Price Elasticity and Brand Life Cycles: An Empirical Study
124 Citations1979Hermann Simon
Journal of MarketingExperience Curves and Dynamic Demand Models: Implications for Optimal Pricing Strategies
119 Citations1981Robert J. Dolan, Abel P. Jeuland
Marketing ScienceTechnical Note—A Note on Optimal Strategic Pricing of Technological Innovations
99 Citations1982Frank M. Bass, Alain Bultez
Journal of MarketingThe Bass New Product Growth Model: A Sensitivity Analysis for a High Technology Product
93 Citations1981Douglas J. Tigert, Behrooz Farivar
Technological Forecasting and Social ChangeA product diffusion model incorporating repeat purchases
81 Citations1985Jerome A. Olson, Seung-Mook Choi
SSRN Electronic JournalParsimonious Models of Diffusion of Innovation: Part A: Derivations and Comparisons
43 Citations1981Abel P. Jeuland
Journal of EconometricsA bayesian approach to time-varying cross-sectional regression models
37 Citations1981Lon‐Mu Liu, Dominique M. Hanssens
Marketing LettersChoosing among diffusion models: Some empirical evidence
30 Citations1993Philip M. Parker
Marketing LettersPricing strategies in markets with dynamic elasticities
16 Citations1992Philip M. Parker
Technological Forecasting and Social ChangeOn interpreting probability distributions fitted to times of first adoption
12 Citations1990U.A. Lavaraj, A. P. Gore
This paper attempts to interpret the standard statistical distributions in the innovation diffusion context by classifying a statistical distribution as being an internal, an external, or a mixed influence model.
Journal of Product Innovation ManagementAn Empirical Comparison of Sales Forecasting Models
9 Citations1985Sanjay‐kumar Rao
