Threshold effects in pricing of high-involvement services

Purpose – The purpose of this research is to test for price threshold effects in the demand for high-involvement services for small businesses. Design/methodology/approach – The authors use a stated preference choice-based conjoint study of small business telecommunications demand. Using survey data...

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Veröffentlicht in:The journal of product & brand management 2014-04, Vol.23 (2), p.121-130
Hauptverfasser: C. Larson, Alexander, L. Reicher, Rita, William Johnsen, David
Format: Artikel
Sprache:eng
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Zusammenfassung:Purpose – The purpose of this research is to test for price threshold effects in the demand for high-involvement services for small businesses. Design/methodology/approach – 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. Practical implications – 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. Originality/value – In the statistical literature on price-ending effects on product demand, most products for which demand is modelled 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.
ISSN:1061-0421
2054-1643
DOI:10.1108/JPBM-04-2013-0278