723
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Effect of Competitors’ eWOM in the Mobile Game Market

, &
Pages 196-204 | Published online: 13 Aug 2020
 

ABSTRACT

The competition among the products is common in the business environment. However, the impact of a product’s competitors in consumers’ electronic word-of-mouth (eWOM) communications has received little attention. Drawing from the theory of distinctive processing, this research examines how eWOM affects a product’s success in the competitive mobile game market. Based on a dataset obtained from searchman.com, we find that eWOM volume and valence promote games’ sales in general. More importantly, we find the moderating effect of the competitors’ eWOM. Our findings suggest that review volume of competitors enhances the relationship between users’ review volume and games’ sales. Moreover, the review valence of competitors decreases the effects of consumers’ review volume and valence on games’ sales. This study contributes to the academics by providing a better understanding of the influence of eWOM on games’ success. This paper also suggests practical implications for mobile game markets and review platforms.

Notes

1 The statistics were retrieved from https://www.statista.com/topics/1906/mobile-gaming/ on 2 February 2019.

2 The statistics were retrieved from https://www.statista.com/statistics/234635/number-of-mobile-gamers-forecast/ on 2 February 2019.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 145.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.