An optimal strategy of advertising and electronic word-of-mouth with considering rebates

Abstract

Purpose

This paper aims to examine the optimal promotion strategy of an e-retailer, who may advertise, or launch rebates initiative to encourage consumers' disseminating electronic word-of-mouth (eWOM) messages, with an aim to boost product sales.

Design/methodology/approach

This paper analyzes the decisions of the e-retailer in a two-period model, using utility function approach and backward induction method, and obtains the optimal solutions in four promotion strategies.

Findings

The study finds that rebate scheme greatly impacts the timing of advertising, and neither lower nor higher consumers' eWOM effort invariably benefits the retailer, rather, a medium level is the best choice for the retailer. When eWOM impact power is at a relatively high level, it can supplement advertising effect to attract more consumers' purchase. Otherwise, eWOM may counteract the role of advertising.

Originality/value

Different from the extant literature focusing on advertising or eWOM without rebates, the paper studies the issue of advertising and eWOM with rebates in two- period model which seldom addresses before the authors examine the optimal timing of advertising and eWOM with/without rebates in four promotion strategies i.e. the A-NE model the NE-A model the A-ER model and the ER-A model.

Citation

Li, J., Yu, Y., Liu, C. and Deng, X. (2023), "An optimal strategy of advertising and electronic word-of-mouth with considering rebates", Kybernetes, Vol. 52 No. 12, pp. 6440-6466. https://doi.org/10.1108/K-03-2022-0369