Digital games and simulations are receiving considerable notice within the Library and Information Science (LIS) community. This study adds to the depth of knowledge in this area by providing research on the likelihood a hypothetical digital game delivery method for library instruction achieves sufficient adoption to justify its development. Furthermore, this knowledge will assist decision making processes for individuals debating the current or potential role of digital gaming at their institutions. In this mixed methods study, over 300 undergraduates were surveyed about their technology preferences, including digital gaming, for delivery of two forms of academic library instruction. The two forms of library instruction were (a) providing users with spatial information on physical library layout, and (b) educating users on information literacy topics and skills. Observational data was collected during the survey sessions, occurring at face-to-face library instruction sessions. Self-selected survey participants were also interviewed to further probe their survey responses. Rogers' Diffusion of Innovations was the theoretical foundation to this research. The primary innovation of study was the digital game delivery method. Detailed analysis of the survey-based data set included three nonparametric scaling methods: 1) rank-sum scaling; 2) circular triad analysis; and 3) multidimensional preference mapping. Content analysis of the …

Why is the term information in English an uncountable noun, whereas in information theory it is a well-defined quantity? Since the amount of information can be quantified, what is the meaning of a fraction of that amount? This dissertation introduces a quasi-entropy matrix which developed from Claude Shannon's information measure as an analytical tool for behavioral studies. Such matrix emphasizes the role of relative characteristics of individual level data across different collections. The real challenge in the big data era is never the size of the dataset, but how data lead scientists to individuals rather than arbitrarily divided statistical groups. This proposed matrix, when combining with other statistical measures, provides a new and easy-to-do method for identifying pattern in a well-defined system because it is built on the idea that uneven probability distributions lead to decrease in system entropy. Although the matrix is not superior to classical correlation techniques, it allows an interpretation not available with traditional standard statistics. Finally, this matrix connects heterogeneous datasets because it is a frequency-based method and it works on the modes of data rather than the means of values. It also visualizes clustering in data although this type of clustering is not measured by …

Digital libraries have become valuable learning resources for information users. However, language barriers have greatly limited information access for many digital libraries, as users do not understand those languages. This study explored technical and operational challenges digital libraries faced in sustaining multilinguality. Using the multiple-case method, the study investigated two digital libraries that have sustained multilinguality for over a decade: the World Digital Library and the Digital Library of the Caribbean. On-site interviews were conducted at both digital libraries and the related documents were analyzed. The findings of the study showed that the two multilingual digital libraries faced many technical and operational challenges and employed various approaches to find solutions. A model of challenges and approaches in sustaining multilinguality was presented. As the first such case study, this research enriches the existing literature, and has theoretical, practical, and methodological implications for the research of multilingual digital libraries. The findings of the study provide useful guidelines and insights for the digital library community in sustaining multilingual services.

Subject of information entity is one of the fundamental concepts in the field of information science. Subject of any document represents its intellectual potential -- 'aboutness' of the document. Traditionally, subject (along with title and author) is the one of three major ways to access information, so subject metadata plays a central role in this process and the role is constantly growing. Previous research concluded that the larger bibliographic database is, the richer subject vocabularies and classification schemes are needed to support information discovery. Further, a high proportion of information objects are unretrievable without subject headings in metadata records. This exploratory study provides the analysis of the subject metadata in MARC 21 bibliographic records created in 2020; and develops understanding of the level and patterns of 'aboutness' representation in the MARC 21 bibliographic records. Study also examines how these records apply the recent RDA and MARC21 guidelines and features intended to support functionality in a Linked Data environment. Methods of Social Network Analysis were applied along with content analysis, to answer research questions of this study. Suggestions for future research, implications for education, and practical recommendations for library metadata creation and management are discussed.

It is attempted with this dissertation to draw an explanatory interdisciplinary framework to clarify the causes of systemic corruption. Following an intense review of political sciences, economics, and sociology literatures on the issue, a complex systems theoretical model is constructed. A political system consists of five main components: Society, interest aggregators, legislative, executive and private sector, and the human actors in these domains. It is hypothesized that when the legitimacy level of the system is low and morality of the systemic actors is flawed, selected political, social and economic incentives and opportunities that may exist within the structure of the systemic components might -individually or as a group- trigger corrupt transactions between the actors of the system. If left untouched, corruption might spread through the system by repetition and social learning eventually becoming the source of corruption itself. By eroding the already weak legitimacy and morality, it may increase the risk of corruption even further. This theoretical explanation is used to study causes of systemic corruption in the Turkish political system. Under the guidance of the complex systems theory, initial systemic conditions, -legacy of the predecessor of Turkey Ottoman Empire-, is evaluated first, and then political, social and economic factors …