Feature Overload

38 Pages Posted: 2 Jun 2011

Date Written: June 1, 2011

Abstract

Feature overload refers to the phenomenon wherein consumers purchase feature rich products but subsequently don’t use all the features. We try to understand why this occurs as an equilibrium outcome. We focus on two aspects of consumer preference: the uncertainty about feature need and the complexity disutility from too many features. We show that consumer uncertainty creates an option value even if the feature is unused ex-post. In a monopoly setting, the firm offers the feature rich product both to enhance valuation and for pricing reasons. In the later case, feature rich product may be offered even if the overall complexity cost outweighs the option values of additional features. In the competitive case, feature rich product may be offered in two types of equilibria: firms may compete with each other on the number of features, leading to a prisoner’s dilemma situation where both firms offer the feature rich product. Firms may also differentiate on the number-of-feature dimension, therefore engaging in ‘uncertainty based segmentation’. In the later case, competing products use ‘functionality’ and ‘simplicity’ as their respective value propositions, and joint profit is maximized. Interestingly, higher complexity disutility lowers profit in the monopoly case but may raise equilibrium profits in the duopoly case. To provide support on our utility function assumptions, we develop a preference measurement methodology and empirically assess feature need uncertainty in a field study. The empirical results point to both the existence of and the heterogeneity in feature need uncertainty.

Suggested Citation

Zhang, Kaifu and Padmanabhan, Paddy V., Feature Overload (June 1, 2011). INSEAD Working Paper No. 2011/66/MKT, Available at SSRN: https://ssrn.com/abstract=1856439 or http://dx.doi.org/10.2139/ssrn.1856439

Kaifu Zhang (Contact Author)

INSEAD ( email )

Boulevard de Constance
77305 Fontainebleau Cedex
France

Paddy V. Padmanabhan

INSEAD ( email )

Boulevard de Constance
Fontainebleau, 77305
France

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