37 research outputs found

    TOWARDS EMOTIONAL SATISFACTION IN SOCIAL NETWORK SERVICES USE

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    This study examines the combined effect of positive and negative emotions on user satisfaction with social network services (SNSs). The sample consists of 582 individuals who use SNSs. Our results suggest that as the intensity of positive emotions increases, users are more satisfied with SNSs. This applies to low and medium levels of negative emotions. On the other hand, for all levels of positive emotions, as the intensity of negative emotions increases, there is no significant effect on satisfaction. Our findings suggest the dominating effect of positive emotions over the negative ones in SNSs. We conclud

    Why Do People Stick with a Specific Social Networking Site? An Integrated Relationship and Uses Gratification Perspective

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    Since their inception, social networking sites (SNSs) have experienced exponential growth. While substantial research has been dedicated to users’ initial adoption of SNSs, the fall of MySpace reminds us that the long-term success of SNSs depends on users’ post adoption staying power. Inspired by this, this work-in-progress investigates users’ “stickiness” with a specific SNS. Based on Li et al. (2006)’s Commitment-Trust Model of Website Stickiness (CTM), this paper focuses on the relationships between SNSs and users. To refine CTM in the new context, we further borrow the Uses and Gratifications Theory from the Communication field to propose an integrated model

    UNDERSTANDING SOCIAL NETWORK SITES CONTINUANCE INTENTION FROM A SELF-DISCLOSURE AND SOCIAL CAPITAL PERSPECTIVE

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    This study intends to understand why the social network sites users continue to use the service and why would they turn to other social network services. By integrating the honesty of self-disclosure with confirmation and three dimensions of social capital with perceived usefulness, we establish a new expectation confirmation model to understand the continuance intention of social network sites users. We propose eleven hypotheses and test them through a survey conduct in China and received 159 valid questionnaires. Through the analysis of 139 valid questionnaires which have at least one social network sites account, we draw some interesting conclusions. Honesty confirmation of self-disclosure has a positive relationship with the three dimension of perceived social capital but not the users’ satisfaction. Perceived social network is a significant antecedent of users’ satisfaction and continuance intention on account of the high switching cost. Meanwhile, perceived shared language can increase users’ satisfaction but not the continuance intention because its universality, and perceived trust has no relationship with both. This research provides a new perspective of expectation confirmation model to understand the social network sites continuance. It also gives some advises about how could social network provider increase their users’ continuance intention

    Hedonic Values And Utilitarian Values As Predicators Of Social Media Participation

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    This research proposes a model to investigate the behavior of posting articles and the continued use of social media via Babin’s value perspective. The antecedents of values are web quality and users’ emotions. The model was tested with PLS-Graph software based on its structural equation modeling approach. Data was gained from 310 users. The results revealed that antecedents have a strong impact on user values, which in turn influences users’ intention to post articles and continue to use social media. Several implications for research and practice have been derived from these findings

    Affective and Social Factors Influencing the Continuance Intention of Using Social Technology for the Case-based Learning

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    The proliferation of social technology poses both a threat and an opportunity for the delivery of traditional case method learning in business schools. This paper extends the expectation confirmation model (ECM) to examine the possibility of delivering the case method learning via social technology. A total of 90 students in a public university in Thailand were formed into teams, and spent two weeks in discussing a Harvard business case via the social technology Edmodo. After the experiment, an online survey is conducted with these participants to assess the influence of affective and social factors on their continuance intention. Our regression analysis shows that in addition to affective factors the social factor of information and knowledge sharing can help improve the accuracy of predicting a student’s continuance intention of using social technology in case method learning. The analysis result leads to theoretical and empirical findings for business schools to consider adopting social technology as the next-generation tool for case method teaching

    Affective and Social Factors Influencing the Continuance Intention of Using Social Technology for the Case-based Learning.

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    The proliferation of social technology poses both a threat and an opportu- nity for the delivery of traditional case method learning in business schools. This paper extends the expectation confirmation model (ECM) to examine the possibility of delivering the case method learning via social technology. Our regression analysis shows that, in addition to affective factors, the social factor of information and knowledge sharing can help improve the accuracy of predicting a student’s continuance intention of using social technology in case method learning. The analysis result leads to theoretical and empirical findings for business schools to consider adopting social technology as the next-generation tool for case method teaching

    INFORMATION TECHNOLOGY ATTACHMENT AND CONTINUANCE

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    An important task in Information Systems research is to understand factors that influence the continuous use of information technology (IT). This study extends the literature by conceptualizing a construct called IT attachment to explain the phenomenon. Drawing upon the attachment theory in developmental and social psychology, it suggests that IT attachment, defined as an affective bond of the IT users to IT, is a determinant of the users’ satisfaction with IT and its continuance intention. Factors that influence the development of IT attachment are also analyzed, including IT confirmation, perceived usefulness, perceived ease of use, and IT playfulness

    Exploring Mobile Social Networking Sites Continuance Intention from the Perspective of Network Externalities and Mobile Value

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    Key shifts in the nature and characteristics of technology have led to evolutions in social media usage. For the first time in history, the internet is being accessed from more mobile devices than desktop computers. This revolution is especially felt among social networking sites, many of whom have presciently developed and released mobile applications of their platforms. Drawing from the Perceived Value Theory, Network Externalities and the Expectation Confirmation Theory of IS Continuance, we tested a model that sought to explain the effect of Network Externalities on Perceived Value and in turn Continuance Intention. Data was collected from 452 students from a university in Ghana and analyzed using the Partial Least Square approach to Structural Equation Modeling. Results from the current study showed that Referent Network Size and Perceived Complementarity had significant effects on both Utilitarian and Hedonic Value as well as Satisfaction. Hedonic Value, Utilitarian Value and Satisfaction in turn were found to be significant predictors of Continuance Intention. In all, the model accounted for 58.0% of the variance in continuance intention. The implications and limitations of the current study are discussed, and directions for future research proposed

    UNDERSTANDING POST ADOPTION SWITCHING BEHAVIOR FOR MOBILE INSTANT MESSAGING APPLICATION IN CHINA: BASED ON MIGRATION THEORY

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    Post adoptive IT use is a hot research stream in information systems field, including continuance behaviours and switching behaviours. While there are a great number of studies on users’ intentions or behaviors for diversified information systems, previous post adoptive IT studies pay relatively less attention on users’ switching behaviors. Hence, we know little about this phenomenon and triggers on users’ switching behaviors. This research identifies the features of users IT switching behaviors and examines what trigger their switching intentions and actual behaviors in the context of mobile instant messaging (MIM) application in China. A model of MIM switching behaviors is developed based on Curran and Saguy’s (2001) research on how networks of obligation, trust and relative deprivation affect human’s migration decision and process. Besides these three triggers, we also introduce dissatisfaction and curiosity into our model according to prior IS studies on switching behaviors. A survey research method will be adopted to test this model. Overall, our study may theoretically contribute to further understand users’ IT switching behaviors and yield some practical implications for designers and managers in MIM providers and their products propaganda

    Stay or Leave? An Investigation on User Exodus in Social Networking Sites

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    Although many SNSs experienced great popularity in the past few years, it is also worth noting that most of them were confronted with massive and abrupt recession in a short period of time. In this study, we define the user exodus as a large scale movement in and out of the social media market, and it can be viewed as a decision or response in the post-adoption stage of IT artifact. So far, there is no currently agreed model for user exodus behavior. Thus, this research-in-progress study aims to qualitatively investigate the underlying reasons of user exodus by examining Kaixin001, a Chinese SNS product. Ethnography decision tree model (EDTM) will be built to elicit the attributes and laddering technique will be used to establish the connections between various attributes, consequences, and the values following means-end chain (MEC) theory. Preliminary findings from content analysis are presented.ye
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