Title: Research on user acceptance behaviour of mobile group intelligent sensing applications based on UTAUT
Authors: Xiaolong Ma; Yonghui Dai; Weining Tang; Guowei Li; Shengqi Lu
Addresses: School of Business, Huzhou University, Zhejiang Province, 313000, China ' Management School, Shanghai University of International Business and Economics, Shanghai, 201620, China ' School of Business, Huzhou University, Zhejiang Province, 313000, China ' School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, 200433, China ' School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, 200433, China
Abstract: In the era of rapid development of the internet of things, group intelligence perception technology is widely used in various mobile APPs such as QQ, Alipay, Baidu map, etc. User's participation behaviour is a key factor in the system service quality and development. According to the analysis of the characteristics of group intelligence perception and the application development of mobile group intelligent sensing applications, we add the perceived trust, user acceptance and task technology matching to construct the UTAUT seven-factor model. Through the empirical test of 341 valid questionnaires collected in the survey, the results show that convenience conditions, perceived trust, performance expectations, effort expectations and task technology matching have a significant impact on users' willingness to adopt. Finally, based on the experimental results, we propose effective countermeasures and suggestions for the development of mobile group intelligent sensing applications.
Keywords: group intelligence perception; mobile group intelligent sensing applications; unified theory of acceptance and use of technology; UTAUT; structural equation model.
International Journal of Embedded Systems, 2019 Vol.11 No.5, pp.653 - 660
Received: 16 Aug 2018
Accepted: 07 Oct 2018
Published online: 24 Sep 2019 *