Analysis of users and non-users of smartphone applications

By Hannu Verkasalo, Carolina López-Nicolás, Francisco J. Molina-Castillo, Harry Bouwman. Telematics and informatics, 2010

493 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2067ad16e1991b77d53d527334e23b97d37f5ec1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study (2013, background): “Previous research on smartphone apps in general suggested that simplicity, efficiency, and pleasure influences continued use [27].”
Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model (2016, background): “Previous studies noted that self-efficacy played a positive role in driving one’s perception in performing specific tasks in an electronic-based environment (Hasan, 2006; 514 IMDS 116,3 D ow nl oa de d by M r A ri es S us an to A t 0 8: 51 1 0 M ay 2 01 6 (P T ) Verkasalo et al., 2010).”
Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018, background): “, 2010; Tarasewich, 2003), assessed the influence of demographic, psychological and behavioral factors on adoption of mobile apps (C. S. Lee et al., 2010; Verkasalo et al., 2010) as well as the influence of user reviews regarding their performance and acceptance (Huang & Korfiatis, 2015).”
Mining large-scale smartphone data for personality studies (2013, background): “studied the reasons and motivation behind using applications across users and non-users [31].”
Factors Influencing eSports Viewership: An Approach Based on the Theory of Reasoned Action (2020, background): “Based on the definition of traditional sports, Wagner (2006) defines eSports as “an area of sport activities in which people develop and train mental or physical abilities in the use of information and communication technology” (p.”
Predicting Personality Using Novel Mobile Phone-Based Metrics (2013, background): “) or social network to draw inferences about phone owners’ mood and personality traits [9,10,11,12,13].”
Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives (2016, background): “For example, Verkasalo et al. (2010) compared users and non-users’ adoption of new mobile applications (e.g., mobile Internet use, games and the use of maps) and identified the significant variables (e.g., perceived enjoyment and usefulness) for both users and non-users.”