Abstract

Collaboration in research continuously gains importance. Recent developments in online collaboration technology, namely social research network sites (SRNS), specifically aim to support research collaboration. SRNS allow researchers to present themselves, to network, to communicate, and to collaborate. Acceptance of this technology by researchers has received little academic attention, a void this research-in-progress addresses. Building on the Unified Theory of Acceptance and Use of Technology and its recent extension for collaboration technology we present a study design and a theory-based research model to investigate acceptance of online collaboration technology by researchers. As technology adoption research is still dominated by quantitative studies, our study design combines qualitative and quantitative elements and thus makes a methodological contribution. Analyzing qualitative results of 11 focus group sessions, we extend the theory-based model to integrate User Resistance. Additionally, three constructs are identified as antecedents of Performance Expectancy (communication benefits and noise) and Effort Expectancy (privacy concerns).

Share

COinS
 

Understanding online collaboration technology adoption by researchers – a model and empirical study

Collaboration in research continuously gains importance. Recent developments in online collaboration technology, namely social research network sites (SRNS), specifically aim to support research collaboration. SRNS allow researchers to present themselves, to network, to communicate, and to collaborate. Acceptance of this technology by researchers has received little academic attention, a void this research-in-progress addresses. Building on the Unified Theory of Acceptance and Use of Technology and its recent extension for collaboration technology we present a study design and a theory-based research model to investigate acceptance of online collaboration technology by researchers. As technology adoption research is still dominated by quantitative studies, our study design combines qualitative and quantitative elements and thus makes a methodological contribution. Analyzing qualitative results of 11 focus group sessions, we extend the theory-based model to integrate User Resistance. Additionally, three constructs are identified as antecedents of Performance Expectancy (communication benefits and noise) and Effort Expectancy (privacy concerns).