Information technology (IT) acceptance research has yielded many competing models, each with different sets of acceptance determinants. In this paper, we (1) review user acceptance literature and discuss eight prominent models, (2) empirically compare the eight models and their extensions, (3) formulate a unified model that integrates elements across the eight models, and (4) empirically validate the unified model. The eight models reviewed are the theory of reasoned action, the technology acceptance model, the motivational model, the theory of planned behavior, a model combining the technology acceptance model and the theory of planned behavior, the model of PC utilization, the innovation diffusion theory, and the social cognitive theory. Using data from four organizations over a six-month period with three points of measurement, the eight models explained between 17 percent and 53 percent of the variance in user intentions to use information technology. Next, a unified model, called the Unified Theory of Acceptance and Use of Technology (UTAUT), was formulated, with four core determinants of intention and usage, and up to four moderators of key relationships. UTAUT was then tested using the original data and found to outperform the eight individual models (adjusted R 2 of 69 percent). UTAUT was then confirmed with data from two new organizations with similar

…Truth [is] being involved in an eternal conversation about things that matter, conducted with passion and discipline…truth is not in the conclusions so much as in the process of conversation itself…if you want to be in truth you must be in conversation. Parker Palmer

Acceptance of Information Technology by health research projects in low-income countries Introduction: To better understand the data collector’s intention to use and acceptance of using, Centre for International Health (CIH) University of Bergen (UIB) wanted feedback on introduction of EpiHandy, by using the PROMISE EBF Mbale site in Uganda as a pilot for collecting health data in low income countries using PDA. The aim was to uncover some of the factors influencing or affecting the

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How can we rethink some popular stereotypes about

Today conventional categories of creativity are being deconstructed in the socalled postmodern debate (Kearney, 1988). This paper takes this process deeper, to what we will show is the hidden subtext of gender underlying how creativity has been socially constructed. It also proposes a more contextualized approach to creativity that takes into account both its individual and social dimensions and how this relates to what Eisler (1987) has called a partnership rather than dominator model of society. Until recently, discourse about creativity has been almost exclusively by and

This paper was produced for a conference funded by the U.S. Department of

Since the inception of AI research, great strides have been made towards achieving the goal of extending natural language conversation as a medium of interaction with machines. Today, we find many Conversational Agents (CAs) situated in various aspects of our everyday life such as information access, education and entertainment. However, most of the existing work on CAs has focused on agents that support only one user in each interactive session. On the other hand, people organize themselves in groups such as teams of coworkers, family and networks of friends. With the mass-adoption of Internet based communication technologies for group interaction, there is an unprecedented opportunity for CAs to support interactive situations involving multiple human participants. Support provided by these CAs can make the functioning of some of these groups more efficient, enjoyable and rewarding to the participants. Through our work on supporting various Multi-Party Interactive Situations (MPIS), we have identified two problems that must be addressed in order to embed

Across two different studies (one organizational, one comprising MBA teams) we examined the hitherto neglected possibility that biases in friendship networks are triggered not just by the complexity of social relationships but also by the gender of those being perceived. Study 1 showed that, after controlling for actual network positions, men, relative to women, were perceived to occupy agentic, brokerage roles in the friendship network – those roles involving less constraint and higher betweenness and outdegree centrality. Study 2 showed that if a team member misperceived a woman to occupy such roles, the woman was seen as warm but incompetent. Further, to the extent that gender stereotypes were endorsed across the team, women performed poorly on their individual tasks. But teams in which members fell back on well-rehearsed perceptions of gender roles (men rather than women misperceived as central) – those teams performed better than teams in which members tended toward misperceiving women occupying agentic, brokerage roles. Taken together, these results contribute to unlocking the mechanisms by which social networks affect women’s progress in organizations. 2 Gender-Biased Perceptions of Network Brokerage In the race to get ahead in organizations, men and women struggle to excel in both formal