Uncovering top-ranking factors for mobile apps through a multimethod approach
Year of publication: |
2019
|
---|---|
Authors: | Picoto, Winnie Ng ; Duarte, Ricardo ; Pinto, Inês |
Published in: |
Journal of business research : JBR. - New York, NY : Elsevier, ISSN 0148-2963, ZDB-ID 189773-1. - Vol. 101.2019, p. 668-674
|
Subject: | Mobile apps | App success | Top grossing app | fsQCA | Multivariate logistic regression | USA | United States | Mobile Anwendung | Mobile application | Mobile Business | Mobile business |
-
Inferring app demand from publicly available data
Garg, Rajiv, (2013)
-
The implications of offering free versions for the performance of paid mobile apps
Arora, Sandeep, (2017)
-
Ahmad, Wasim, (2021)
- More ...
-
Pinto, Inês, (2018)
-
Professional ethics and governance : understanding appraiser independence
Pinto, Inês, (2016)
-
Pinto, Inês, (2016)
- More ...