The purpose of this research was to determine if personality type and system response time have any effect on state anxiety and user response time. The sample for this study consisted of senior and graduate level college students who possessed basic know 1 edge of a text editor. Each test subject was administered the Jenkins Activity Survey to determine scores for Type A versus Type B, speed and impatience, involvement, and competitiveness. The test subjects were randomly assigned to one of three treatment groups (good, variable, and poor system response time). They were required to edit a text file which contained multiple errors. The test subjects were provided hard copies of the file with errors (errors highlighted) and the file as should appear without the errors. The test situation for each test subject was identical, except for changes in system response time. The A-state scale of the State-Trait Anxiety Inventory (STAI) was administered to the test subjects immediately prior to the edit task in order to determine pre-task state anxiety levels. The A-state scale of the STAI was again administered immediately after the edit task in order to determine post-task state anxiety levels. Analysis of variance, analysis of covariance, regression, …

Organizations expend a great deal of time, effort and money on the implementation of enterprise resource planning (ERP) systems. They are considered the price of entry for large organizations to do business. Yet the success rate of ERP systems is poor. IS literature suggests that one possible reason for this is the underutilization of these systems. Existing ERP literature is replete with research to improve ERP project implementation success; however, notably absent from these streams is the research that identifies how ERP systems are utilized by individuals or organizations. This dissertation posits that increased ERP utilization can result from increased software and business process understanding gained from both formal training and experiential interventions. New dimensions of system utilization (required vs. optional) are proposed. The purpose of this dissertation is to examine how these interventions impact ERP utilization. The results of this dissertation show that while software-training interventions are important to understanding, it is the business process training interventions that seem to provide the greater effect on understanding. This increased understanding positively affects utilization scenarios where a mixture (required vs. optional) of software features and business process tasks can be leveraged by end-users. The improved understanding of post-adoptive ERP utilization gained …

Social networking applications (SNAs) have experienced a boom in popularity in recent years. Sites like Facebook and MySpace continuously draw new users, and are successful in organizing groups of users around topics of common interest. Among SNAs, Facebook has demonstrably outgrown its rivals growing an estimated 157 percent from 2008 to 2009. Facebook is now estimated to be the fourth largest Internet site in the world, trailing only Google, Microsoft and Yahoo (Schonfeld 2009). This dissertation posits and tests a theoretical model composed of key factors that contribute to post-adoptive use of social networking applications and the relationship of those factors to one another. This study also identifies and clarifies new constructs that were not previously used to measure usage, and further refines the constructs that were previously used so that they better fit social networking applications. The results of this dissertation show that the critical factors of social capital, hedonic enjoyment, perceived usefulness, social influence, satisfaction and attitude have a positive influence on a post-adoptive user's intention to continue using Facebook. The results of this study yielded a structural model for predicting the post-adoptive use of Facebook. This work also developed an instrument for measuring constructs relevant to social …

The mobility, flexibility, convenience, and ubiquity of mobile data services (MDS) have contributed to their enormous growth and popularity with users. MDS allow users to communicate through mobile texting (mTexting), mobile Instant Messaging (mIM), multimedia messaging services (MMS), and email. A unique feature of MDS that enhances its popularity among its users is the awareness capability, which is revolutionizing the way MDS is being used to communicate today. It allows potential communication partners to socialize through these technologies. This dissertation explored the relationship between user experience, perceived richness, perceived social presence and satisfaction with MDS. A research model for examining the antecedent conditions that influence social presence, richness, social interaction and satisfaction with MDS was developed. Partial least square analysis showed that user experience influenced both social presence and richness. Also supported was the relationship between richness, social presence and satisfaction with MDS. Social presence mediated the relationship between user experience and richness. However, only one dimension of interactivity influenced social presence.