Does adoption mean the same to every user? A study of active and passive usage of mobile instant messaging applications

This research-in-progress paper studies the active and passive usage of mobile instant messaging (MIM) applications. Grounded on two-factor theory and three-factor theory, we propose the features of MIM applications influence the active/passive usage of MIM applications through users’ satisfaction and dissatisfaction. The proposed features are categorized into three factors: exciting factors which contain design aesthetics, customization and enjoyment, performance factors which include sociability, convenience and privacy assurance, and basic factors which are application costs and technical functionality. To test hypothetical relationships in this study, we plan to use a survey method. The potential implications to both literature and practice are discussed

Predicting uptake of online customer service through mobile instant messaging applications : the effects of social presence on behaviour intention

Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRMOnline shopping is rapidly increasing, creating new opportunities and challenges in the highly-competitive services market. In this context, companies are trying to come with new ways of connecting, as consumers seek easier and faster ways of interacting. This study employs the unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical paradigm and extends it, to explore the key factors influencing the uptake of mobile instant messaging applications in online customer service, by introducing social presence as a crucial construct. The data was collected from an online questionnaire conducted to 222 Portuguese mobile instant messenger’s users. Structural equation modelling (SEM) was used to verify and validate the research model. The results showed that performance expectancy represents the greatest influence on users’ intention to engage in online customer service through mobile instant messaging. In addition, social presence was found to directly impact behavioural intention and indirectly, through the mediation of performance expectancy and habit. This study fills the gap in the literature, where little attention has been devoted to examining the use of mobile instant messaging applications by organizations for online customer service. The findings will help practitioners make appropriate strategies for this new channel

A Process Virtualization Theory Approach to Understanding the Usage Continuance of Cross-Channel Instant Messaging

Increasingly, we are witnessing the advent of IM software on mobile devices for users to communicate with other users who are using either the desktop or mobile channel. The emergence of such cross-channel instant messaging (CCIM) demands a renewed understanding of users’ continuance behaviours. In this research-in-progress paper, we draw upon the process virtualization theory perspective to extend the expectation-confirmation model for IT (ECM-IT). According to PVT, we propose that users’ confirmation of using the virtualized CCIM is determined by the communication process’s dimensions of sensory, synchronism, relationship, and identification & control. In addition, we propose that the extent to which the communication dyads make mutual adaptation to one another will moderate the relationship between confirmation and perceived usefulness of CCIM. We expect our findings to make theoretical contributions to the domain of research on IT usage post-adoption behaviours as well as managerial implications to CCIM application developers and other stakeholders in the mobile industry

Integrating guanxi into technology acceptance: an empirical investigation of WeChat

Social influence is an important research topic in the technology acceptance literature, in particular for social media. Prior empirical studies have for the most part employed social influence theory to investigate user intentions to continue with social media, while culture driven theories have been neglected. Rather than using social influence theory, we introduced guanxi theory to explore how guanxi social mechanisms (or processes) influence Chinese users’ continuance intentions in WeChat. Specifically, we developed a model that examines the role of guanxi as manifested by renqing, mianzi and ganqing in perceived usefulness, perceived enjoyment and continuance intention in WeChat. A survey research method was adopted to test the proposed hypotheses. This study found that ganqing has a positive impact on perceived usefulness and continuance intention. Mianzi exerts a negative effect on continuance intention but exhibits a positive effect on perceived usefulness. Renqing was found to have no significant impact on perceived usefulness and continuance intention. Our study advances the Technology Acceptance Model (TAM) by introducing guanxi-based constructs in a Chinese mobile social-messaging application context. Our study also offers alternative insights on guanxi-based social influence processes in the Chinese technology acceptance literature

Analysis of user acceptance of a network monitoring system system with a focus on ICT teachers

The purpose of this study is to investigate the relationship between performance expectancy, effort expectancy, attitude, self-efficacy, anxiety and enjoyment (independent variables) towards behavioral intention (dependent variable) in using a network monitoring system.The study was conducted in 14 different schools and involved 30 ICT teachers as the respondents.Our findings rejected the null hypothesis as there were correlations between the independent variables and the dependent variable.Two constructs, namely, effort expectancy and enjoyment were determined to have a significant influence on usage behavior among ICT teachers in using the network monitoring system.Effort expectancy contributed 56.2% and, together with enjoyment, contributed 78% of the total variation observed in behavioral intention to accept and use the network monitoring system

A MODEL FOR EVALUATING ONLINE GAME PLAYERS: A STUDY OF ENJOYMENT, INTERACTION, FLOW EXPERIENCE, AND MOTIVATION TOWARDS ATTITUDE AND INTENTION BEHAVIOR IN CHINA

The purpose of this research is to find out the factors that affect online players. This study's variables are human-Game Interaction, utilitarian motivation, hedonic motivation, flow experience, perceived enjoyment, attitude, and intention. The researchers observed these variables and put forward four hypotheses to determine the influencing factors. The researchers used China's "League of Legends" as the research model. 300 respondents select this data through a questionnaire survey on two large-scale communication platforms in China. The first platform is the official forum of "League of Legends" in China, and the second platform is the most used game social software "QQ" in China. ". The researchers used convenience sampling and judgmental sampling to investigate. All data were analyzed using statistical software, and linear regression and multiple linear regression were used to find the most significant factors affecting players’ attitudes and intentions. Use descriptive statistics to provide average and demographic percentages. Besides, the researchers use inferential statistics to test the effects of variables. The results show that human-game interaction has a significant positive correlation with utilitarian motivation and hedonic motivation. Utilitarian motivation, hedonic motivation, flow experience, and perceived enjoyment have a positive impact on the player’s attitude. However, flow experience, perceived enjoyment, and attitude have no influence on the intentions of online player

Exploring An Individual’s Intention to Use Blogs: The Roles of Social, Motivational and Individual Factors

Blogs are a new type of media for social interaction; they have become very popular, and have shown their influence throughout our society. However, little is known about what motivates an individual to participate in blogging activities. This study aims to explore how an individual\u27s intention is influenced by social, motivational and individual factors. A survey, involving 283 subjects, was conducted to examine the proposed model. The results revealed that personal innovativeness in the domain of information technology (PIIT), perceived usefulness and perceived enjoyment have direct impacts on a persons\u27 intent to use blogs. On the other hand, factors such as subjective norms and blog self-efficacy influence an individual\u27s motivational factors; these factors, in turn, influence an individual\u27s behavioral intention in regard to blog usage. The findings of this study not only contribute to a theoretical building of those factors that effect blog usage, but also provide implications to practitioners for understanding and promoting blog usage

A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students

Nowadays, there has been a dramatic proliferation in the number of blogs and several social networks; however, little is published about what factor (s) motivates universities students to participate in blog activities. The remarkable growth and use of a social networking website such as "Facebook", "Hi5", and "Friendster" among UUM international postgraduate students is more challenging for a researcher to investigate the extent to which a new media channel affects people’s lives, relationships, and wellbeing, how and why it is used, and who is using it. Based on the Theory of Reasoned Action (TRA), a model was developed relating technology acceptance (TAM) and social influences. a combination of convenience and purposive sampling was used to collect the data from UUM Postgraduate students that used different blogs and Facebook regularly. A survey of 112 of UUM postgraduate students found strong support for the model. One of the major finding of this research illustrated that perceived usefulness, ease of use and social norms were positively related to attitude toward blogging and accounted for a higher variance. On the other hand, perceived enjoyment and attitude toward blogging did not significantly influence UUM postgraduate students’ intention to continue to use Facebook as their favorite blogging site

Compulsive Smartphone Use: The Roles of Flow, Reinforcement Motives, and Convenience

Along with its rapid growth of penetration, smartphone has become highly prevalent in recent years. Meanwhile, compulsive smartphone use emerges as a rising concern. Given that research on compulsive smartphone use is scarce in the information systems literature, this paper aims to reveal its significant determinants to enrich the theoretical development in this area. In particular, we incorporate flow, reinforcement motives (i.e., instant gratification and mood regulation), and convenience in the research model to examine their influences on compulsive smartphone use. We conduct an empirical online survey with 384 valid responses to assess the model. The findings show that flow and reinforcement motives have direct and significant effects on compulsive use. Convenience affects compulsive use indirectly through flow, while flow further mediates the effects of reinforcement motives on compulsive use. Implications for both research and practice are offered

Applying The Extended Technology Acceptance Model To The Use Of Clickers In Student Learning: Some Evidence From Macroeconomics Classes

This paper applies the extended technology acceptance model (exTAM) in information systems research to the use of clickers in student learning. The technology acceptance model (TAM) posits that perceived ease of use and perceived usefulness of technology influence users’ attitudes toward using and intention to use technology. Research subsequent to TAM has added perceived enjoyment as a factor in predicting attitude and behavioural intentions. This study tests the validity of this extended TAM model while applied to clickers via data collected from three macroeconomics classes.  Path analytic results show that most of the hypotheses are supported in the expected directions, providing evidence that exTAM is applicable to examining factors influencing learner attitude and behaviour in relation to the use of interactive learning technologies, such as clickers in the classroom