Understanding Continuance Intention toward Crowdsourcing Games: A Longitudinal Investigation. Issue 12 (20th July 2020)

• Record Type: Journal Article
• Authors: Wang, Xiaohui; Goh, Dion Hoe-Lian; Lim, Ee-Peng
• Is Part Of: International journal of human-computer interaction. Volume 36:Issue 12(2020)
• Page Start: 1168
• Page End: 1177
• Publication Date: 2020-07-20
• Subjects: Human-computer interaction -- Periodicals; 004.01905
• DOI: 10.1080/10447318.2020.1724010
• Languages: English
• ISSNs: 1044-7318

Abstract

ABSTRACT: Given the increasing popularity of gamified crowdsourcing, the study reported here involved examining determinants of users' continuance intention toward crowdsourcing games, both with longitudinal data and reference to a revised unified theory of acceptance and use of technology (UTAUT). At three time points, data were collected from an online survey about playing crowdsourcing games. Time-lagged regression, cross-temporal correlation, and structural equation modeling were performed to examine determinants of the acceptance of crowdsourcing games. Results indicate that the revised UTAUT2 is applicable to explaining the acceptance of crowdsourcing games. Not only did effort expectancy, hedonic motivation, and social influence directly affect users' continuance intention toward crowdsourcing games, but time-based variations also emerged in users' perceptions and acceptance of the games and in how their perceptions affect their acceptance. The findings answer the call for a context-specific acceptance model and the identification of factors of adopting gamification.