What is it about?

The purpose of this research is to test for price threshold effects in the demand for high-involvement services for small businesses. The authors use a stated preference choice-based conjoint study of small business telecommunications demand. Using survey data, individual-level parameter estimates for a demand model are achieved via the Hierarchical Bayes method of estimation. Findings: For demand for small business telecommunications services, the authors find very strong positive impacts of nine-ending and zero-ending prices on the demand for a common bundle of telecommunications services (wired telephone service, broadband Internet, and cellular telephone service), even at prices so high a shift in the left-most digit does not occur. The advertising, brand, or product manager or statistician who assumes threshold effects are not extant in high-involvement service demand may find conventional demand estimation methods lead to erroneous conclusions and less effective pricing strategies.

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Why is it important?

In the statistical literature on price-ending effects on product demand, most products for which demand is modeled are low involvement consumer products priced at less than ten monetary units per unit of product. There is a lacuna in this price-ending effects literature regarding small businesses and high-involvement services offered at three-digit prices via monthly subscription. This research indicates that testing for threshold effects should be de rigeur in the methodology of demand estimation for telecommunications or other high-involvement services.

Perspectives

In 2008, when I first read a paper on price-endings effects by Vickie Morwitz and Manoj Thomas, I wanted to incorporate price-endings effects into my applied demand analysis research at AT&T. The literature did not contain any examples of price-endings effects in the B2B (business to business) market for higher cost subscription services at that time. My own work involved econometric models of bundled telecommunications services, and it was relatively easy to incorporate price-ending effects into the Hierarchical Bayes statistical model we typically built at AT&T. The results were fascinating, and I hope that the literature survey incorporated in this paper will serve as a handy guide to the price-endings effects literature, with which applied and academic econometricians are generally unfamiliar.

Threshold Effects in Pricing of High-Involvement Services Alexander Larson
AT&T (retired)

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This page is a summary of: Threshold effects in pricing of high-involvement services, Journal of Product & Brand Management, April 2014, Emerald,
DOI: 10.1108/jpbm-04-2013-0278.
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