This research examines the sources and consequences of stress when using online social networks (OSN). In a first step, the five OSN-induced stressors invasion, pattern, complexity, uncertainty, and disclosure are identified. In a second step, the Model of Continuous OSN Usage is developed in order to examine the influence of these five stressors. Therefore, the model is based on the Model of Adoption of Technology in Households and the Post-Acceptance Model. Results of an empirical analysis with 154 OSNs users reveal that 57 per cent of satisfaction and 64 per cent of continuous usage intention can be explained within the Model of Continuous OSN Usage. Notably, the five stressors have a higher strength of effect on satisfactions than the three attitudinal beliefs hedonic, utilitarian, and social outcomes altogether. In summary, the results offer a theoretical foundation for recent practical observations that OSNs are a source and symbol of stress.
To address shortcomings of predominately subjective measures in empirical IS research on IT usage and human-computer interaction, this paper uses a multi-method experimental analysis extending empirical surveying with objective measures from eye-tracking and electrodermal activity (EDA). In a three stage process, objective user performance is observed in terms of task fulfillment and user performing of participants in four focus groups, classified by user system experience and the treatment pressure to perform. Initial results of this research-in-progress reveal that users with prior system experience perform considerably better and faster than users without system experience. This also accounts for users under pressure to perform compared to users without pressure to perform. However, the results of the EDA show that users under pressure to perform also have a higher objective strain level. Furthermore, a first regression analysis outlines that objective performance might help to understand user's system satisfaction to a greater extent.
The research reported in this article intends to investigate whether individuals a) update degrees of beliefs over time and b) transfer behavioral intentions into adoption behavior in a different manner based on their personality. Therefore, the personality trait dispositional resistance is discussed within the Integrative Framework of Technology Use. Results of an empirical longitudinal analysis (N=145) show that individuals update their beliefs based on prior beliefs and usage behavior differently in accordance with their personality. Results also reveal that individuals transfer behavioral intentions into adoption behavior differently based on their personality. Hence, we discuss our contributions to technology adoption research by highlighting the importance of personality traits when investigating technology-related beliefs and behavior over time. Results also include an assessment of the findings' practical relevance by identifying which individuals maintain negative beliefs over time and by identifying the high extent of technology usage as a possibility for overcoming negative beliefs.
The crucial role of IT/business alignment for business value of IT has been investigated for more than two decades. While both the intellectual and the social dimension of alignment received considerable attention at strategic level, only few studies have provided insights into alignment at non-strategic levels. With the intellectual dimension being quite well understood, this work focuses particularly on the social dimension of alignment, addressing aspects like shared understanding, common language, shared domain knowledge, and interaction quality between business and IT. Furthermore, there is a lack of research on how to achieve and maintain social alignment, making it difficult to develop guidelines for practice in this important area. This paper presents a multi-level construct for social alignment and adopts an IT governance perspective in order to identify specific practices and investigate their impact on social alignment. Using a qualitative approach by conducting a series of case studies, this research aims to contribute to our understanding of key IT/business alignment antecedents (or managerial actions) and how they influence social alignment.
Outsourcing relationship quality (ORQ) has shown to be an important construct in previous research on outsourcing effectiveness. But, while there are various works that have conceptualized and operationalized ORQ as a rich and multi-dimensional construct, other studies which consider ORQ as (usually mediating) component of their theoretical models make hardly use of those works but often use less rich constructs. The research on hand attempts bridging the gap between those two groups of works. A multi-dimensional ORQ construct is used to evaluate the relative importance of different ORQ dimensions, such as commitment, trust, etc., in regard to different dimensions of outsourcing success (overall satisfaction, goal achievement, service quality). For example, while many studies use trust as proxy for ORQ, our study shows that, depending on the outcome variable, other ORQ dimensions might be more relevant and should be used instead or additionally. Thus, the main contribution is identifying those ORQ dimensions which are most relevant regarding different outsourcing success variables. Future studies on outsourcing success factors will have a better ground to argue for or against using certain ORQ dimensions in their studies. Moreover, the study sensitizes managers for different distinct ORQ dimensions and their importance for a successful outsourcing relationship.
Based on the Technology-Organization-Environment model we propose a model for explaining the adoption of online appointment schedule platforms by micro-enterprises in order to take the specific characteristics of this organizational type into consideration of technology adoption research. Using case study interviews from seven micro-enterprises we can show that the adoption decision is mainly influenced by the attitude of the entrepreneur, support and updates, scalability, test phase, training and compatibility. In addition, we identify a fourth context of marketing factors relevant for the adoption decision and not considered by the TOE-model so far. Moreover, we discuss whether rather individual- or organizational level adoption models are appropriate to explain the adoption decision of micro-enterprises.
This research centers on the relationship between information overload as an aspect of information quality on the one side, and, on the other side, user resistance to knowledge management systems as an aspect of an individual's decision process. While discussing this relationship theoretically we propose a bipartite influence of information overload as on the one hand it fosters acceptance of these system, but on the other hand also causes user resistance. By analyzing information overload in pre- and post-implementation phases of knowledge management systems we argue that information overload has an ambivalent causal effect as it can act both positively and negatively in relation to the point of time overload occurs or is expected. Therefore, based on existing literature we propose a research model and illustrate the relationships through results of a case study.
As information systems (IS) usage is the missing link from information technology (IT) investments to the business value impact of IT (DeLone and McLean 2003), it is a significant issue for IS researchers and practitioners, if individuals resist using these systems. Several recent models have been developed in order to offer insights which perceptual beliefs foster user resistance. Results reveal perceptual beliefs as perceived threats, technostress, or switching costs as major determinants for user resistance. Nevertheless, user resistance has not been researched from a perspective of predisposed individual differences so far. Consequently, this paper proposes the new construct dispositional resistance to IT-induced changes. This reflects inclinations to resist any kind of IT-related change and discusses resistance from the perspective of individual differences. Within this approach, it is theoretically hypothesized, how this inclination influences perceptual beliefs, intentions, and behaviors. Empirical results reveal strong impacts of the newly proposed construct on technostress.
This research paper analyzes the impact of information and network characteristics on the affective, cognitive, and behavioral attitude towards information overload (IO) on Facebook. By using an information overload model and the data of 300 active Facebook users it can be shown that the various categories of attitude are influenced by different factors. The level of determination of the behavioral attitude towards IO is lower than the level of determination of the affective and cognitive attitude towards IO. The identified antecedents of IO explain up to 36 per cent of the variance of IO. Results indicate that affective and cognitive attitude towards IO are more influenced by these antecedents as the behavioral attitude towards IO. Furthermore, results reveal that the amount of information an individual receives is the major predictor of all three dimensions of attitude. Several implications for adoption research are discussed.