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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]

Microblogs are revolutionising the way users produce, consume and distribute short content. The continuous content contributions of users are crucial for the sustainable development of microblogs. Knowledge regarding this user behaviour is scarce. Based on the uses and gratifications theory (U&G) and the social influence theory (SIT), this paper proposes an integrated research model with the aim of understanding the factors that affect users' continuous content contribution behaviours (CCCB) on microblogs. The data were collected from 379 microblog users in China. The empirical results indicate that perceived gratification had a positive but surprisingly trivial effect on continuous content contribution behaviours. Social influence had a strong and significantly positive effect on users' CCCB, it also had a positive moderating effect on the relationship between perceived gratification and CCCB. Users' perceived gratification was positively affected by the antecedents of self-expression, anticipated extrinsic rewards and anticipated reciprocity but negatively affected by privacy concerns. The platform attributes of microblogs (i.e. accessibility and interactivity) also influenced users' perceived gratification. This research contributes to social media research with regards to the theory of users' CCCB. [ABSTRACT FROM AUTHOR]

The ability of automatically identifying users’ personality is an important part of building adaptive systems and providing personalised services. However, there is still a lack of evaluation methods which can not only unobtrusively gather user data without supplement equipment, but also provide accurate and real-time prediction of users’ personality. This paper presents a new approach to identifying personality by combining writing features and machine learning techniques. We conducted an exploratory study where we collected participants’ handwriting information and personality information via questionnaire. From these data, we extracted writing features and created classifiers for seven personality dimensions. Our top results include a unique set of writing features which could be predictive of personality and binary classifiers for the seven personality dimensions, with accuracies ranging from 62.5% to 83.9%. These results show that writing features are useful for personality identification when suitable classifiers are adopted. [ABSTRACT FROM PUBLISHER]

In recent years, online shopping has been proliferated around the world. Online retailers’ reputation and purchase intentions are critical for survival and profitability of any online store. Thus, this study proposes a research framework to examine the perceived justice effects on customers purchase intention and online retailers’ reputation. A confirmatory factor analysis was conducted to demonstrate the reliability and validity of the measurement model, and the structural equation modelling technique was used to test the research model. The hypothesised model was validated empirically using data collected from 383 online shopping customers in China. The results indicated that perceived procedural, distributive and interactional justice components were strong predictors of customers purchase intention and online retailers’ reputation while online retailers’ reputation had significant effects on purchase intentions. Finally, theoretical and managerial implications are also presented in the paper. [ABSTRACT FROM PUBLISHER]

China is undergoing a transition from offline to online advertising, but little is known about the causal relationship regarding credibility transfer from non-web advertising to web advertising. Meanwhile, web advertising usage behaviour is largely overlooked. The purpose of this study is to explore the formation of customers' attitude towards web advertising (ATT) which further impacts their online information acquisition behaviour, from the perspectives of advertising value and credibility transfer. This paper develops a research model drawing upon advertising value, credibility transfer, ATT and tie. Data collected from Chinese online shopping customers were used to test the model. The results indicate that perceived informativeness, perceived entertainment and credibility contribute to the formation of ATT, which further impacts web advertising usage for getting information. Meanwhile, tie positively moderates the credibility transfer from non-web advertising to web advertising. These findings and their implications for theory and practice are discussed. [ABSTRACT FROM AUTHOR]

Web accessibility can help reduce the digital divide between persons with disabilities and the web by providing easy access to information on the Internet. Providing web accessibility can be an important element that manifests a firm's corporate social responsibility (CSR) and employees can play a vital role in this process. This paper examines how employees can impact a firm's decision to fulfil their CSR regarding web accessibility. We propose that employees’ intention to exert pressure on a firm is primarily influenced by three psychological needs, namely need for control, need for belonging, and need for meaningful existence. Additionally, perceived importance of CSR moderates the relationship between need for meaningful existence and intention. We empirically test the research model using data collected from 106 Chinese employees. The results suggest that for employees to pressure their firms to improve the accessibility of their websites, it is imperative to enhance their perceived importance of web accessibility, and their need for belonging and for a meaningful existence. We present the theoretical and managerial implications arising from our findings. [ABSTRACT FROM AUTHOR]

Information technologies have been developed to facilitate driving performance and improve safety. However, there is a lack of computational methods that can take into account drivers’ adaptation to driving. That is, how behaviour changes with experience. Modelling the effect of driving experience on driver behaviour is important to the development of in-vehicle information technologies, because drivers at different skill levels may need different types or levels of assistance. Cognitive-architecture-based human performance modelling is a valuable method that can integrate different cognitive aspects underlying human behaviour such as skill levels and support quantitative simulation of behaviour. The study reported in this paper tested and examined computational models built in ACT-R (Adaptive Control of Thought-Rational) to account for the effect of driving experience on collision avoidance braking behaviour. The modelling results were compared with human data collected from a simulated driving experiment. The models produced braking behavioural results similar to the human results. Moreover, model predictions of three other emergent-braking scenarios were generally similar to and in the same order with the empirical results reported in previous studies. Future research can further integrate the method and results into intelligent driver assistance systems such as collision warning systems to better adjust the systems to the need of different drivers with different skill levels. [ABSTRACT FROM PUBLISHER]