A growing number of information technology systems and services are being developed for persuasive purposes, i.e. to change users’ attitudes or behaviour or both. This paper proposes a taxonomy of general persuasive approaches, with interpersonal, computer-mediated and human-computer persuasion as the key types. It also recognizes and briefly describes related theories from social psychology, n...

The aim of this study is to explore student multiple representation skills and creativity in solving mathematical problems when supported by a multimedia whiteboard system. The subjects were 6 grade primary school students that were tested and selected as excellent students in mathematics. Twenty-one numerical and geometry problems were given to the students in the experiment. The learning acti...

Due to the high perceived risk, building users’ initial trust is crucial to facilitating their adoption and usage of mobile banking. Drawing on the elaboration likelihood model (ELM), this research examined users’ initial trust in mobile banking. The results indicated that initial trust develops along a dual route including the central route and peripheral route. Self-efficacy as the elaboratio...

Marketers can bundle an unknown brand with a strong brand as a new product introduction strategy. Drawing upon the categorization theory and the elaboration likelihood model, this study examines how a new brand can benefit from bundling with a strong brand. The results of two studies indicate that consumers’ quality perception of a new brand will be affected by the brand image of a bundle partn...

With the pervasion of information and communication technology (ICT), the valence of user-generated content is an increasing important antecedent affecting customer’s decision-making. The influence is especially significant in the tourism and hospitality industry due to its nature of intangible and experiential. In order to better understand the influence process of electronic word-of-mouth on ...

Many organizations are implementing recommender systems with the expectation to influence users’ actions. However, research has shown that poorly designed recommender systems may be counterproductive. For instance, if a recommender system provides too many recommendations, users cannot focus on relevant recommendations anymore. Therefore, recommender systems need to be balanced and adjusted to ...

Despite the increasing prevalence, microblogging users are likely to face great challenges in assessing the credibility of health information due to the user-generated nature of content and length restriction on each microblog post. In this study we aim to explore how microblog users assess the credibility of health advice in terms of microblog posts. By incorporating the Elaboration Likelihood...