As the number of messages and social relationships embedded in social networking sites (SNS) increases, the amount of social information demanding a reaction from individuals increases as well. We observe that, as a consequence, SNS users feel they are giving too much social support to other SNS users. Drawing on social support theory (SST), we call this negative association with SNS usage 'social overload' and develop a latent variable to measure it. We then identify the theoretical antecedents and consequences of social overload and evaluate the social overload model empirically using interviews with 12 and a survey of 571 Facebook users. The results show that extent of usage, number of friends, subjective social support norms, and type of relationship (online-only vs offline friends) are factors that directly contribute to social overload while age has only an indirect effect. The psychological and behavioral consequences of social overload include feelings of SNS exhaustion by users, low levels of user satisfaction, and a high intention to reduce or even stop using SNS. The resulting theoretical implications for SST and SNS acceptance research are discussed and practical implications for organizations, SNS providers, and SNS users are drawn.

Technology adoption research has long struggled to incorporate normative beliefs from sources in the social environment of adopters into adoption models. We study the role of social influence from different workplace referent groups, like superiors and colleagues from the same or the IT department, on the intention to adopt. An empirical analysis, using data from 152 firms, based on the Unified Theory of Acceptance and Use of Technology and related approaches reveals that social influence on adoption significantly differs with regard to both source (peer groups) and sink (adopters and non-adopters) of the influence. The results imply that a single cumulative subjective norm measure might be too naïve and that future research might considerably improve our understanding of IT adoption and non-adoption by revealing the differential impact of various peer groups on adoption intention, and also on its antecedents.

No abstract

This research is driven by the assumption made in several user resistance studies that employees are generally resistant to change. It investigates the extent to which employees' resistance to IT-induced change is caused by individuals' predisposition to resist change. We develop a model of user resistance that assumes the influence of dispositional resistance to change on perceptual resistance to change, perceived ease of use, and usefulness, which in turn influence user resistance behavior. Using an empirical study of 106 HR employees forced to use a new human resources information system, the analysis reveals that 17.0-22.1 percent of the variance in perceived ease of use, usefulness, and perceptual resistance to change can be explained by the dispositional inclination to change initiatives. The four dimensions of dispositional resistance to change -routine seeking, emotional reaction, short-term focus and cognitive rigidity -have an even stronger effect than other common individual variables, such as age, gender, or working experiences. We conclude that dispositional resistance to change is an example of an individual difference that is instrumental in explaining a large proportion of the variance in beliefs about and user resistance to mandatory IS in organizations, which has implications for theory, practice, and future research.

No abstract

No abstract

No abstract

No abstract