App Popularity: Where in the world are consumers most sensitive to price and user ratings?

Many companies compete globally in a world in which user ratings and price are important drivers of performance but whose importance may differ by country. This study builds on the cultural, economic, and structural differences across countries to examine how app popularity reacts to price and ratin...

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Bibliographic Details
Main Authors: Fandrich, T. (Author), Kubler, R. (Author), Pauwels, K. (Author), Yildirim, G. (Author)
Format: Article
Language:English
Published: American Marketing Association 2018
Subjects:
Online Access:View Fulltext in Publisher
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008 220706s2018 CNT 000 0 und d
020 |a 00222429 (ISSN) 
245 1 0 |a App Popularity: Where in the world are consumers most sensitive to price and user ratings? 
260 0 |b American Marketing Association  |c 2018 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1509/jm.16.0140 
520 3 |a Many companies compete globally in a world in which user ratings and price are important drivers of performance but whose importance may differ by country. This study builds on the cultural, economic, and structural differences across countries to examine how app popularity reacts to price and ratings, controlling for product characteristics. Estimated across 60 countries, a dynamic panel model with product-specific effects reveals that price sensitivity is higher in countries with higher masculinity and uncertainty avoidance. Ratings valence sensitivity is higher in countries with higher individualism and uncertainty avoidance, while ratings volume sensitivity is higher in countries with higher power distance and uncertainty avoidance and those that are richer and have more income equality. For managers, the authors visualize country groups and calculate how much price should decrease to compensate for a negative review or lack of reviews. For researchers, they highlight the moderators of the volume and valence effects of online ratings, which are becoming ubiquitous in this connected world. © 2018 American Marketing Association. 
650 0 4 |a Dynamic panel model 
650 0 4 |a Hofstede's cultural factors 
650 0 4 |a Mobile apps 
650 0 4 |a Price sensitivity 
650 0 4 |a Rating sensitivity 
700 1 |a Fandrich, T.  |e author 
700 1 |a Kubler, R.  |e author 
700 1 |a Pauwels, K.  |e author 
700 1 |a Yildirim, G.  |e author 
773 |t Journal of Marketing