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The Impacts of Attitudes and Engagement on Electronic Word of Mouth (eWOM) of Mobile Sensor Computing Applications

School of Business, Macau University of Science and Technology, Taipa, Macau 999078, China
School of Business and Hospitality Management, Caritas Institute of Higher Education, Tseung Kwan O, New Territories, Hong Kong 999077, China
Management Board Office, Macao Polytechnic Institute, Macau 999078, China
Department of Mathematics, Tongji University, Shanghai 200092, China
Authors to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Sensors 2016, 16(3), 391;
Received: 31 December 2015 / Revised: 2 March 2016 / Accepted: 3 March 2016 / Published: 18 March 2016
(This article belongs to the Section Sensor Networks)
As one of the latest revolutions in networking technology, social networks allow users to keep connected and exchange information. Driven by the rapid wireless technology development and diffusion of mobile devices, social networks experienced a tremendous change based on mobile sensor computing. More and more mobile sensor network applications have appeared with the emergence of a huge amount of users. Therefore, an in-depth discussion on the human–computer interaction (HCI) issues of mobile sensor computing is required. The target of this study is to extend the discussions on HCI by examining the relationships of users’ compound attitudes (i.e., affective attitudes, cognitive attitude), engagement and electronic word of mouth (eWOM) behaviors in the context of mobile sensor computing. A conceptual model is developed, based on which, 313 valid questionnaires are collected. The research discusses the level of impact on the eWOM of mobile sensor computing by considering user-technology issues, including the compound attitude and engagement, which can bring valuable discussions on the HCI of mobile sensor computing in further study. Besides, we find that user engagement plays a mediating role between the user’s compound attitudes and eWOM. The research result can also help the mobile sensor computing industry to develop effective strategies and build strong consumer user—product (brand) relationships. View Full-Text
Keywords: mobile sensor computing; human–computer interaction (HCI); WeChat mobile sensor computing; human–computer interaction (HCI); WeChat
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Zhao, Y.; Liu, Y.; Lai, I.K.W.; Zhang, H.; Zhang, Y. The Impacts of Attitudes and Engagement on Electronic Word of Mouth (eWOM) of Mobile Sensor Computing Applications. Sensors 2016, 16, 391.

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