Colleen Schwarz

Towards an understanding of assimilation in virtual worlds: the 3C approach

Virtual worlds are increasing in importance as more multi-national firms are investing heavily in these emerging communities. Although much excitement has surrounded the idea of virtual worlds, a gap exists between those who register and those who engage in virtual worlds. Our analysis of the gap between those who merely register to join a virtual world and those who ultimately engage the community on a regular basis derives from a lack of assimilation. We present the 3C approach, a high-level theoretical framework delineating the relationship between three classes of factors (namely the technology class of factors; the community class of factors; and the user class of factors) that we posit explain virtual world assimilation and employ theories to represent these classes of factors and the interaction between them. After discussing and integrating these three classes of factors, we test our model through a study of 223 new users of Second Life. The results provide empirical support for the 3C framework; specifically, our analysis indicates that the technology and community classes of factors in exert a direct influence upon a users attitude towards the virtual world, and this relationship is moderated by the user class of factors.

Toward a process-based view of information technology acceptance

Research into the acceptance of technology is in need of an alternative approach. Despite repeated calls for research to guide our colleagues-in-practice in the deployment of systems that are accepted, there has yet to be systematic research into the relationship between the decisions made by individuals and the bottom-line impact that is derived from user acceptance. This study fills the gap in the literature by theorizing a process-based view of information technology (IT) acceptance. We report on a narrative study of 30 users of an ERP deployment and, analyzing this qualitative data through the lens of the five decisions of acceptance proposed by Schwarz and Chin, propose a process model of IT acceptance. We conclude by theorizing on the relationship between these structures and the corresponding bottom-line impacts.

The Role of Latent Beliefs and Group Cohesion in Predicting Group Decision Support Systems Success

In this article, the authors focus on determining whether a group’s attributes influence the effectiveness of the group’s use of group decision support systems (GDSS). Specifically, their research objective is to understand the impact of the perception of the GDSS and group cohesion on outcomes of enjoyment with the process, enjoyment with the decision, the effectiveness of the decision, and efficiency of the decision. To test their hypothesis, the authors conducted a lab experiment. The results were then calculated utilizing PLS Graph. It was found that each of the five characteristics of the innovation is a significant factor in the second-order construct, with Relative Advantage exhibiting the highest loading. The latent belief toward the GDSS was a significant driver of all the GDSS outcomes, except for Decision Efficiency. Group cohesion significantly predicted enjoyment and effectiveness, but it did not drive the group to be more efficient. Conclusions and implications for further research are also discussed.

To Adopt or Not to Adopt: A Perception-Based Model of the EMR Technology Adoption Decision Utilizing the Technology-Organization-Environment Framework

For several decades the information systems field has studied the individual-level decision to adopt Information Technology (IT) with the primary goal of making it easier for organizations to derive value out of IT by increasing their effective and efficient use of the deployed IT. While the topic of non-adoption has been discussed within the literature, the focus in previous work has been upon the perceptions of the individual towards the innovation (or a micro-level of analysis), neglecting the broader context within which the adoption/non-adoption decision takes place (or a macro-level of analysis). However, what about situations in which there is institutional pressure influencing an adoption decision? This paper posits that institutional pressure external to an organization may alter the directionality and outcome of the decision. This study adopts the Technology-Organization-Environment framework to examine the context of a physicians decision about whether or not to adopt Electronic Medical Record (or EMR) technology. It reports on a multiple state study within the United States that examines the technology, organization, and environmental factors that discriminate between adopters and non-adopters.