Cumulative Timed Intent: A New Predictive Tool for Technology Adoption

Journal of Marketing Research, Forthcoming

49 Pages Posted: 3 Feb 2010 Last revised: 6 Feb 2010

See all articles by Koert van Ittersum

Koert van Ittersum

University of Groningen

Fred M. Feinberg

University of Michigan at Ann Arbor - Marketing; University of Michigan, Stephen M. Ross School of Business

Date Written: February 2, 2010

Abstract

Despite multiple calls for the integration of time into behavioral intent measurement, surprisingly little academic research examines timed intent measures directly. In two empirical studies, the authors estimate individual-level cumulative adoption likelihood curves - curves calibrated on self-reported adoption likelihoods for cumulative time intervals across a fixed horizon - of 478 managerial decision makers, self-predicting whether and when they will adopt a relevant technology. A hierarchical Bayes formulation allows for a heterogeneous account of the individual-level adoption likelihood curves as a function of time and common antecedents of technology adoption. A third study generalizes these results among 354 consumer decision makers and, using behavioral data collected during a two-year longitudinal study involving a subsample of 143 consumer decision makers, provides empirical evidence for the accuracy of cumulative adoption likelihood curves for predicting whether and when a technology is adopted. Cumulative adoption likelihood curves are shown to outperform two single-intent measures as well as two widely-validated intent models in predicting individual-level adoption for a fixed time period of two years. The results suggest great promise for future research on using and optimizing cumulative timed intent measures across a variety of application domains.

Keywords: self-reported intentions, cumulative timed intent, technology adoption, predictive accuracy, hierarchical Bayes

Suggested Citation

van Ittersum, Koert and Feinberg, Fred M., Cumulative Timed Intent: A New Predictive Tool for Technology Adoption (February 2, 2010). Journal of Marketing Research, Forthcoming. Available at SSRN: https://ssrn.com/abstract=1546483

Koert Van Ittersum (Contact Author)

University of Groningen ( email )

Postbus 72
9700 AB Groningen
Netherlands

Fred M. Feinberg

University of Michigan at Ann Arbor - Marketing ( email )

Ann Arbor, MI 48109
United States

University of Michigan, Stephen M. Ross School of Business ( email )

701 Tappan Street
Ann Arbor, MI MI 48109
United States

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