Department of Information Systems, Statistics & Management Science
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Browsing Department of Information Systems, Statistics & Management Science by Author "Carver, Jeffrey C."
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Item Advancing evidence-based practice in systems development: providing juried knowledge to software professionals(University of Alabama Libraries, 2014) Hassler, Edgar E.; Hale, David P.; University of Alabama TuscaloosaThe concept of utilizing information derived from carefully crafted scientific research to optimize the efficiency and/or effectiveness of a practice is by no means a new idea. For over two thousand years physicians, scientists, and business professionals have relied on evidence to improve decision making. The advances made over last 50 years with regard to Information Systems (IS), and the proliferation of technology, set the stage for a new paradigm in the use of information in practice commonly referred to as Evidence-Based Practice (EBP). Originating in the field of medicine, the EBP paradigm has been adopted in many of the healthcare domains and spread to other domains such as education, management, and computer science. In the spirit of Fredrick Taylor's The Principles of Scientific Management (1914), the collection of essays presented in this work endeavor to advance the use of empirically based, juried evidence for decision making in a business context. The specific context selected is the domain of SE - a key component in a technology laden world. Within the SE domain, the essays address three objectives in the advancement of the EBSE paradigm by: 1. Mapping the research completed to date regarding the implementation of EBP in the SE domain to identify gaps and opportunities in the research. 2. Identifying the barriers deemed most important by the members of the SE research community who conduct systematic literature reviews in support of EBSE. 3. Developing the use of algorithmic techniques as a discriminant function in the selection process of the systematic review methodologies. Together, the collection of essays represent a line of inquiring within a broader research stream concerning the implementation of EBP - a modern version of Taylors work - within the SE domain. The collection of essays provides valuable insights concerning the status of EBSE and its literature, the problems associated with secondary research under the paradigm, and the basis for a discrimination function designed to assist in resolving a key issue for those seeking guidance in academic literature.Item Location privacy exchange behavior: development and testing of two proposed models(University of Alabama Libraries, 2013) Thompson, Samuel Charles; Hale, Joanne E.; Keith, Mark J.; University of Alabama TuscaloosaResearchers studying the role of privacy perceptions in Location-Based Services (LBS) have primarily focused on information disclosure decisions at the individual transaction level, weighing the benefits of LBS against the risks of a potential privacy breach. In contrast, two of the three essays in this dissertation use a `relationship commitment' conceptualization, with each transaction decision viewed as a component in a long-term process. The `privacy paradox' has been frequently observed, users disclose high levels of personal information in contrast to their low levels of intent to disclose such information. This dissertation includes measures of intent and behavior to determine relevant antecedents of actual location privacy disclosure in the context of LBS on mobile computing devices. In Essay One, qualitative research is used to discover the costs and benefits considered to be important by researchers and LBS users. While there is overlap between the decision considerations of LBS privacy researchers and users, there are also significant differences in the relative priorities each group assigns to these factors. In Essay Two, a behavior prediction model based on privacy calculus, prospect theory and Intertemporal choice theory is proposed and tested. In Essay Three, a behavior prediction model based on social exchange theory and the commitment-trust theory of relationship marketing is proposed and tested. Both of the proposed models were tested in a field experiment using a trial version of a working LBS app with 1047 participants. Both of the research models exhibit significant predictive power, particularly for users' intentions to disclose personal information in exchange for benefits provided by a LBS. The research model in Essay Two explains 39.5 percent of the total variance in mobile users' intention to disclose personal and location information, while the research model in Essay Three explains 54.1 percent. However, the privacy paradox persists as the antecedent variables account for only 9.9 percent of the total variance in actual user information disclosure. Recommendations for researchers, providers of LBS on mobile computing devices, and for LBS users are provided in Chapter Five.