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The formation of information security behavioural intention (ISBI) can be complex and dynamic in different contexts. This paper aims to examine and compare different users' ISBI formalisation mechanisms when dealing with their personal affairs (non-work users) and organisational affairs (work users). Drawing on two principles of Conservation of Resources (COR) theory (i.e. resource loss principle, and resource gain principle), we developed two models to examine how situational support affects ISBI formation. The results of a study of 432 non-worker users and 261 work users indicate a curvilinear relationship between situational support and ISBI through subjective norms and risk perception for non-worker users, whilst a linear relationship via subjective norms is found for worker users. This is the first time that COR has been applied to explain the formation of ISBI. The findings broaden the research scope of individuals' ISBI by revealing how situational support affects the formalisation mechanism for different users in cross-contexts. The theoretical and practical implications of the findings and the future study are discussed. [ABSTRACT FROM AUTHOR]

MOOCs (massive open online courses) have attracted a great deal of research and attention; however, few studies have focused on the factors that influence MOOC teacher effectiveness, which is the key to the development of MOOCs. Based on the perspective of professional capital and social exchange theory, this paper aims to study the factors that influence MOOC teacher effectiveness. First, the research hypotheses are proposed from the teacher's perspective to build the research model based on factors affecting MOOC teacher effectiveness. Second, the iCourse platform is selected as the research object because it has the largest number of active users in China. As of March 1, 2019, the effective research data of 7380 teachers were obtained from iCourse to build a multivariate regression model. The results highlight the main factors that affect MOOC teacher effectiveness from the perspective of professional capital. Finally, relevant suggestions are proposed for the development of MOOC. [ABSTRACT FROM AUTHOR]

There is a growing tendency for users to expect conversational agents (CAs) to recognise social cues and follow interpersonal communication principles to enhance their subjective evaluation. Therefore, this paper studies how personal pronouns should be used by CAs in response to users. We conducted a 3 (CAs' personal pronoun) × 3 (users' personal pronoun) × 2 (participants'gender) mixed design. this study used mixed methods based on an experimental design, including ratings, forced choices and interviews, for mutual confirmation. The findings indicate that first, users prefer that CAs use second-person pronouns. Second, there is also turn-taking and convergence tendency between users and CAs in personal pronoun use. Third, there are gender differences in personal pronoun preferences and relationship positions toward CAs. These results can inform personalised voice interaction and humanlike design and help build closer relationships between users and CAs in future human–computer interactions. [ABSTRACT FROM AUTHOR]

Many social network sites (SNSs) have become available around the world and users' online social networks increasingly include contacts from different cultures. However, there is lack of investigation into the concrete cultural differences in the effects of contextual factors and privacy concerns on users' privacy decisions on social network sites (SNSs). The goal of this paper is to understand how contextual factors and privacy concerns cast different impact on privacy decisions, such as friend request decisions, information disclosure and perceived risk, in different countries. We performed a quantitative study through a large-scale online survey across the US, Korea and China to model the relationships between contextual factors, privacy concerns and privacy decisions. We find that the contextual influence and focus of privacy concerns vary between the individualistic and collectivistic countries in our sample. We suggest that multinational SNS service providers should consider different contextual factors and focus of privacy concerns in different countries and customise privacy designs and friend recommendation algorithms in SNSs in different countries. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to investigate the underlying mechanism of the community climate on knowledge-sharing intention in virtual communities. Based on social cognitive theory, a theoretical model was developed and empirically tested using a web-based survey of 525 members from an online question and answer (Q&A) community in China. Results showed that knowledge-sharing self-efficacy and outcome expectation played a chain mediation role in the relationship between the community climate and knowledge-sharing intention. This study is among the first to examine whether and how community climate influences knowledge sharing. Our research findings unpack the mechanism of the community climate on knowledge-sharing intention, and provide practical insights on how to use community climate to facilitate users to share knowledge in online Q&A communities. [ABSTRACT FROM AUTHOR]

With the increased popularity of mobile learning, there is a growing demand on the understanding of how the scalable technology, such as mobile devices, influences individual learning behaviours as well as their learning outcome. A theoretical model was built based on the adaptive structuration theory (AST) and the knowledge spiral theory. Using this model, we examined the relationship between structural sources, individuals' adaptive structural behaviours, and their perceived learning. A Structural Equation Modeling method was employed in our empirical study. Findings indicate that users' task adaptation had a positive influence on their perceived learning, In addition, their exploitive technology adaptation influenced the ultimate perceived learning, but the impact of users' exploratory technology adaptation on learning was mediated by their task adaptation. Contrary to expectations, the effect of computer self-efficacy on exploitive and exploratory technology adaptation was negative, and exploratory technology adaptation negatively affected exploitive task adaptation. A detailed discussion of the findings and implications are provided in this paper. [ABSTRACT FROM AUTHOR]