In the context of the rapid expansion of web-integrated technologies, there exists a need for a thorough comprehension of data privacy, emphasizing risk mitigation and the nuanced governance of private data within organizational and regulatory frameworks. Given the rise of privacy regulations such as the GDPR and CCPA, it has become important for…

This dissertation studies how institutions of higher education occupy a unique space that can add to the discourse of business studies by relating how consumers can simultaneously function as products. This is substantiated by defining the word "student" beyond the traditional meaning of a student as learner when considering the higher…

Children construct meaning from their economic experiences in the form of naive theories and use these theories to explain the relationships between their actions and the outcomes. Inevitably, due to their lack of economic literacy, these theories will be incomplete. Through curriculum design that acknowledges and addresses these naive theories,…

An individual's choice to share or have control of the sharing or withholding of their personal health information is one of the most significant public policy challenges associated with electronic information exchange. There were four aims of this study. First, to describe predictors of health data sharing preferences of consumers. Second, to…

This dissertation investigates the effect of observational learning in crowdsourcing markets as a lens to identify appropriate mechanism(s) for sustaining this increasingly popular business model. Observational learning occurs when crowdsourcing participating agents obtain knowledge from signals they observe in the marketplace and incorporate such…

Since information theory was developed by Claude E. Shannon, in addition to its primary role in communications and networking, it has broadened to find applications in many other areas of science and technology, such as microeconomics, statistics, and neuroscience. This thesis investigates the application of information theoretic viewpoints to two…

Due to their low cost of implementation and considerable elasticity, cloud-based IT solutions are being widely adopted or considered in organizations across various industries. However, such IT solutions bring forth several unique challenges--challenges that make it difficult for organizations to achieve successful utilization of cloud-based…

This dissertation addresses the use and modeling of spatio-temporal data for the purposes of providing applications for location based services. One of the major issues in dealing with spatio-temporal data for location based services is the availability and sparseness of such data. Other than the hardware costs associated with collecting movement…

New products continue to launch quickly but many of them are converged products. The "new product" is not a completely new thing to consumers and the basic features stay the same. As a result, the added functions or fancy design can't explain why consumers adopt the new media. Past studies have examined perceptions of innovations or user…

This research investigated Electronic Service Quality (E-SQ) features that contribute to customer satisfaction in an online environment. The aim was to develop an approach which improves E-CRM processes and enhances online customer satisfaction. The research design adopted mixed methods involving qualitative and quantitative methods to…

The size and dynamism of the Web poses challenges for all its stakeholders, which include producers/consumers of content, and advertisers who want to place advertisements next to relevant content. A critical piece of information for the stakeholders is the demographics of the consumers who are likely to visit a given web site. However, predicting…

This dissertation studies consumer search behavior in markets where buyers have incomplete information about available goods, such as markets with many sellers or frequently changing prices. In these markets, consumers engage in costly search in order to collect information necessary for making a purchase. Our method of investigation combines…

Recommender systems aim to support users in their decision-making process while interacting with large information spaces and recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. Recommender systems are increasingly used with product and service selection over the Internet. Although…

Successful enrollment management uses predictive modeling to achieve specific goals for admission rates, yield rates, and class size. Many of these models rely on evaluating an applicant's interest in the institution through measures of pre-application engagement. Recent increases in the number of applicants who do not visibly interact with…

This dissertation examines consumer behavior in different markets. Six different types of Utah snow skiers, namely, half day, local, multiday, college and K-12 students, and season ticket holders, are analyzed in the first paper to determine their demand response to changes in prices, income, weather, transportation costs, and particular days. A…