This is a descriptive study that poses the questions and discussion regarding use of personality tests in prediction of future job performance of the current undergraduate hospitality students. A gap exists between the perception of the skills and competencies of high performers and the perception of hospitality students (Berezina et al., 2011; Malan, Berezina & Cobanoglu, 2012). The purpose of this study is to investigate if personality tests will help in predicting the success of students in their preferred job setting as compared to current high performers (managers). The use of personality tests increased substantially after 1988, when the government banned the use of polygraphs (Employee Polygraph Protection Act, 1988 as cited in Stabile, 2002). Although there is no right or wrong answer to personality test questions, the answers would allow employers to have a better idea if there is a sufficient fit between the applicant and the position sought. To compare the personality types of successful hotel managers and hospitality students to determine if there is a need to customize the hospitality curriculum in order to produce graduates who will fit to the correct type of positions, a convenient sample was drawn from a hotel management company's managers and hospitality students of a university in the Southeast USA. The sample for this study was 175 Managers and 150 Students. With the 144/175 (82% response rate) manager and 76/150 (51% response rate) students the main findings show there is a significantly difference between managers and students. This indicates that current hospitality students and current managers have different perceptions about hospitality industry. Since current students will work on the industry in the future, the difference needs to be eliminated by both curricular and extra-curricular activities. There are also significant differences among managerial positions' (general manager, assistant general manager, and director of sales) LDP scores. This could indicate that it might not be a good fit to promote these individuals from one position to other within the company since each position differs from each other.

Regardless all the advantages of MPs, it has not reach the sizable customer base. In this paper, we examined the core drivers of using mobile payments (MPs) in restaurant industry from the consumers' perspective. Based on the Technology Acceptance Model (TAM), we developed a six factor model to reveal the determinants of consumers' intention to use MPs in restaurant. Security, subjective norm, compatibility with lifestyle, and previous experience with MPs were added to the traditional two factor TAM model (usefulness and ease of use). 300 respondents were recruited from an online survey agency and 258 valid responses were included in the data analysis. The regression results suggested that consumers' intention to use MPs in restaurants is influences by compatibility with lifestyle, usefulness, subjective norm, security, and previous experience in MPs. Lifestyle compatibility was found as the strongest determinant of consumers' acceptance of MPs in restaurants. However, ease of use was not a significant predictor of MPs usage in restaurant. Based on the findings, the study provided several implications to the restaurant industry. Five factors (compatibility with lifestyle, usefulness, subjective norm, security, and previous experience in MPs) can serve as a guideline to encourage consumers' adoption of MPs in restaurant industry. Industry practitioners can develop advertisement catered to a trendy, innovative, tech-friendly generation who desires the flexibility that MPs give and is willing to have everything in one device. MPs should be developed to provide an added value to the user. It is also important to increase the source credibility of social information to improve communication campaigns. Finally, restaurant staff could be trained in guiding and assisting consumers in their first experience with MPs.

The goal of this dissertation is to investigate the enabling role that agent based simulation plays in business and policy. The aforementioned issue has been addressed in this dissertation through three distinct, but related essays. The first essay is a literature review of different research applications of agent based simulation in various business disciplines, such as finance, economics, information systems, management, marketing and accounting. Various agent based simulation tools to develop computational models are discussed. The second essay uses an agent-based simulation approach to study important properties of the widely used most popular news recommender systems (NRS). This essay highlights the major limitations of most popular NRS in terms of: (i) susceptibility towards manipulation and (ii) unduly penalizing the article which may have "just" missed making the cutoff in most popular list. A probabilistic variant of recommendation has been introduced as an alternative to most popular list. Classical results from urn models are used to derive theoretical results for special cases, and to study specific properties of the probabilistic recommender. In addition to simulations, various statistical methodologies are used, such as regression based methodologies as part of a broader decision analysis tool. The third essay views firms as agents in building regression based empirical models to investigate the impact of outsourcing on firms. Using an economy wide panel data of outsourcing expenses of firms, the third essay first investigates the value addition by the IT backgrounds of project owners in managing IT related projects. Then it investigates the impact of peer-pressure on a firm's outsourcing behavior.

Abstract The purpose of this research was to investigate the effects of virtual reality training on the development of cognitive memory and handgun accuracy by law enforcement neophytes. One hundred and six academy students from 6 different academy classes were divided into two groups, experimental and control. The experimental group was exposed to virtual reality training for a period of 8 hours. The control group was exposed to the traditional, non-interactive training that occurred on a gun range, also for a period of 8 hours. After exposing the groups to their respective training, a counter-balance technique was utilized to expose both groups to a series of 3 law enforcement related scenarios. The time and number of shots that each participant used to cognitively process and solve the scenarios were collected and analyzed by group and gender. There was a significant difference, by group, in both time and accuracy, with the virtual reality group using less time and posting more accurate scores. Mean accuracy scores indicated that the males participants were more accurate in their response to the scenario administration.

Agency is a foundational and ongoing concern for the field of Rhetoric and Composition. Long thought to be a product and possession of human action, rhetorical agency represents the most obvious connection between the educational and theoretical work of the field and the civic project of liberal arts and humanities education. Existing theories of anthropocentric rhetorical agency are insufficient, however, to account for the complex technological work of digitally enmeshed networks of humans and nonhumans. To better account for these complex networks, this project argues for the introduction of new materialist theories of distributed agency into conversations about agency within Rhetoric. Such theories eschew the distinction between rhetorical and material agency and instead offer a way of accounting for action and change that makes room for rhetorical and material interventions as well as human and nonhuman participants. I take as my site the social media aftermath of the 2013 bombing at the finish line of the Boston Marathon. The digital networks of human users and nonhuman spaces (especially Twitter and Reddit) produced specific tangible effects: #BostonHelp helped stranded runners and tourists find food, shelter, and ways of communicating with family and friends, and Reddit’s /r/findbostonbombers forum enabled and fueled hurtful speculation about an innocent missing student. The strength, impact, and endurance of these networks leads me to three important conclusions: rhetorical/material agency must be distributed across a network of human and nonhuman participants; human intention no longer functions as an appropriate measure of the success or failure of rhetorical/material agency; and responsibility – like agency – must be distributed across networks’ human and nonhuman members.

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Theoretical studies focusing on the nature of landscapes that correlate molecular sequences to molecular function have mainly been carried out in silico due to the vast amounts of data that are needed for analysis. In vitro selections of aptamers are a good model system to study theoretical questions at a experimental level. With the introduction of robotic platforms that conduct in vitro selections, it is now capable of producing significant amounts of data in a short time, making theoretical modeling with real experimental data attainable. I will be using a Biomek 2000 Laboratory Automation Workstation to carry out multiple in vitro nucleic acid selections in parallel. I will explore the sequence space to examine whether existing in vitro selection systems are optimal at isolating the best winning species. New methods will be introduced that will allow for the selection of identical targets with identical pools free of cross contamination on the open robotic system. This will open the doors to further conduct selections against other identical or highly similar targets, such as complex cellular targets. Finally, I will investigate the methods to improve the effectiveness at isolating aptamers against the highly complex lung cancer cell lines. These targets are highly challenging for isolating specific aptamers because of the great diversity of biomarkers found among them. Moreover, their highly morphological similarity of the cultured cells makes selections for specific aptamers very difficult. I explore the different methods that will allow for the generation of aptamers that can distinguish between non-small cell lung cancer and small cell lung cancer, and between non-small cell lung cancer and normal lung cells. Fine-tuning of this process is essential at transferring this process to automated platforms for large-scale generation of biosensors against tumor biomarkers.

The Resource Description Framework (RDF) is the logical data model of the Semantic Web. RDF encodes information as a directed graph using a set of labeled edges known formally as resource-property-value statements or, in common usage, as RDF triples or simply triples. Values recorded in RDF triple form are either Universal Resource Identifiers (URIs) or literals. The use of URIs allows links between distributed data sources, which enables a logical model of data as a graph spanning the Internet. SPARQL is a standard SQL-like query language on RDF triples. This report describes the translation of SPARQL queries to equivalent SQL queries operating on a relational representation of RDF triples, and the physical optimization of that representation using the IBM DB2 relational database management system. Performance was evaluated using the Berlin SPARQL Benchmark. The results show that the implementation can perform well on certain queries, but more work is required to improved overall performance and scalability. / text

abstract / toc / Computer Science and Information Systems / Doctoral / Doctor of Philosophy

The Institute for Scientific Information's (ISI) citation databases have been used for decades as a starting point and often as the only tools for locating citations and/or conducting citation analyses. ISI databases (or Web of Science [WoS]), however, may no longer be sufficient because new databases and tools that allow citation searching are now available. Using citations to the work of 25 library and information science faculty members as a case study, this paper examines the effects of using Scopus and Google Scholar (GS) on the citation counts and rankings of scholars as measured by WoS. Overall, more than 10,000 citing and purportedly citing documents were examined. Results show that Scopus significantly alters the relative ranking of those scholars that appear in the middle of the rankings and that GS stands out in its coverage of conference proceedings as well as international, non-English language journals. The use of Scopus and GS, in addition to WoS, helps reveal a more accurate and comprehensive picture of the scholarly impact of authors. WoS data took about 100 hours of collecting and processing time, Scopus consumed 200 hours, and GS a grueling 3,000 hours.