No / The traffic pattern has significant impact on the performance of network-on-chip. Many recent studies have shown that multimedia applications can be supported in on-chip interconnects. Driven by the motivation of evaluating on-chip interconnects in multimedia embedded systems, a new analytical model is proposed to investigate the performance of the fat-tree based on-chip interconnection network under bursty multimedia traffic and nonuniform message destinations. Extensive simulation experiments are conducted to validate the accuracy of the model, which is then adopted as a cost-efficient tool to investigate the effects of bursty multimedia traffic with nonuniform destinations on the network performance.

<p> Since the classic study of migration and metropolitan growth by Lowry (1966), migration researchers have assumed a two-stage process wherein the decision to migrate is followed by the destination choice decision. Such an approach is employed here, to provide a characterization and explanation of the destination choice patterns of the male labour force entrants.</p> <p> Specifically, a nonlinear migration model, developed by Liaw and Bartels (1982), is applied to Canadian migration data for the 1971-76 period. The inter-metropolitan migration patterns of the male labour force entrants is found to be well explained by six explanatory variables: population size, logarithmic distance, housing growth, employment increase, cultural barriers and "strong ties". The last two variables are dummy variables derived from the characterization of the destination choice patterns through the application of entropies. The study examines factors involved in the destination choice decision and concludes with suggestions for future investigation.</p> / Thesis / Candidate in Philosophy

In the graduate qualifying work of the undergraduate, the influence of TV travel shows on the choice of tourists is considered. The theoretical issues of sociological research are considered, the features of the program construction of the main television tourist shows are revealed and studied. The opinions of various groups of tourists in relation to television tourist content are studied. / В выпускной квалификационной работе магистранта рассматривается влияние телевизионных трэвел-шоу на выбор туристов. Рассмотрены теоретические вопросы проведения социологических исследований, выявлены и изучены особенности программного построения основных телевизионных туристских шоу. Изучены мнения различных групп туристов по отношению к телевизионному туристскому контенту.

京都大学 / 新制・課程博士 / 博士(経済学) / 甲第24867号 / 経博第674号 / 新制||経||304(附属図書館) / 京都大学大学院経済学研究科経済学専攻 / (主査)教授 原 良憲, 教授 山田 仁一郎, 准教授 WANG Tao / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DGAM

Most undergraduate students enroll in college with the aim of securing a professional career after graduation; however, not all students achieve this goal. Prior research has explored whether career outcomes differ between students of varying academic and demographic backgrounds, but few studies have examined whether first-generation status is correlated with career outcomes. In addition, different parameters are used to define first-generation students within the research literature, making it difficult to capture consistent data on this population. In this quantitative study, I analyzed NACE First Destination Survey data to assess whether recent first-generation college graduates from the same higher education institution achieve differing career outcomes from their continuing-generation peers, applying three distinct definitions for first-generation students to highlight within-group differences in this population. The results of this study showed some disparities in career outcomes between first-generation graduates and their continuing-generation peers, with first-generation students unemployed at slightly higher rates, especially in the aftermath of the COVID-19 pandemic. However, graduates' field of study was a stronger predictor for career outcomes than any other academic or demographic variables included in the study. This study aims to provide future directions for higher education institutions to critically examine the career outcomes of their graduates to better target career development resources to the students who need it most. / Educational Administration

Customer-based brand equity (CBBE) has been extensively applied to examine a variety of travelers' behavioral intentions and tourism destination choices. However, from the perspective of competition among destinations, the use of the overall destination brand equity (ODBE) dimension is still in its experimental stage. The objective of this research is to determine the impact of destination brand awareness (DBA), image (DBI), quality (DBQ), and value (DBV) on ODBE. Specifically, this study focuses on the case of Japan tourism from the view of American travelers. Moreover, this study aims to incorporate tourism xenophilia (TXI), which is an emerging concept in tourism study and indicates people's attraction toward the perceived foreignness of destinations. This study investigates the group difference in the CBBE model between low- and high-TXI groups. Throughout an online self-administrative survey on Prolific, 408 questionnaires were gathered for data analysis. Exploratory factor analysis (EFA) was employed to determine the final measurement items. A series of multiple regression analyses tested the impacts of CBBE dimensions on ODBE and the differences of tourism xenophilic (low TXI vs. high TXI) groups on those relationships. The results of the EFA confirmed five key dimensions in CBEE (DBA, DBI, DBQ, DBV, and ODBE) as expected, except one measurement item (DBA6) excluded from DBA. The results confirm the positive impact of DBA, DBI, and DBV on OBDE, except the impact of DBQ on ODBE. The high TXI group had a stronger impact on the relationship between DBA and ODBE and between DBV and ODBE than the low TXI group, while the impact of DBI on ODBE was stronger with the low TXI group than the high TXI group. Theoretically, this study extended a research framework of CBBE by incorporating ODBE and TXI. It deepens the understanding of TXI and its role in tourists' brand equity evaluation process. Practically, it helps Japanese destination managers design and implement effective international marketing strategies, especially for their primary target market of Americans. Marketing strategies that enhance their social/self-image and the value of travel can be more effective in gaining attention from target markets and persuading travel to Japan rather than appealing to the quality of attractions overall. Furthermore, highlighting cost effectiveness first and gaining awareness second could be one effective way to target high-TXI travelers, while another could be enhancing destination image for low-TXI travelers.

Ybor City is a historical neighborhood in Tampa, Florida, and a tourist attraction known for its immigrant roots and once-thriving cigar industry. This thesis places Ybor City into the context of the burgeoning heritage tourism market, examining how cities financially reliant on tourism often sanitize their public historical narrative. I identify the main actors involved in Ybor City's marketing and preservation by investigating contemporary newspaper articles and multiple National Park Service documents, thereby uncovering the motivations and decisions that led to Ybor's cultural image of a bustling, relatively peaceful early 20th-century "Latin" community. To correlate Ybor's aestheticized public image with the official record, I review and contrast historical primary sources, academic literature, tourism advertising material, and Ybor's physical historical markers designated to its landmarks. My main argument is that embellishing local memory with overt celebratory overtones and a patriotic message not only fosters a misleading narrative, but it also sidelines traditionally marginalized racial and ethnic groups: Ybor's working-class families, as well as its Jewish, Black Cuban, and African American heritage. This thesis seeks to advance a more authentic interpretation of Ybor City history by proposing a reinvestigation into literary sources and applying both GIS and mobile technology to update the existing scholarship.

No description available.

Means of information have drastically changed during the last decades due to the evolution of technology and the development of social media, which have gained crucial relevance in the tourism industry. As a consequence, efficacy of traditional information sources is being challenged. The aim of this research is to determine, analysing photographs, what destination images of a particular country are projected by both traditional and digital information sources, in order to compare them identifying main similarities and differences in the projected images. For the purpose of this study, the selected destination is Italy and the analysed images will beretrieved from Swedish, Danish and Norwegian tour operators’ tourism catalogues and their respective social media accounts. Therefore, main similarities and differences between the three countries will also be identified and analysed. The images will be analysed using a thematic analysis method, following an inductive approach, meaning that themes and codes will be generated from the data itself. In order to generate conclusions, five Swedish, five Danish and five Norwegian tour operators were selected, and their catalogues and social media accounts were analysed, for a total of 1,306 images illustrating Italy as a destination. Findings suggest how images retrieved from catalogues mainly illustrate Italy by the generated themes of hidden mass tourism, notorious Italy, and culture. On the other hand, images retrieved fromsocial media accounts mainly represent Italy with the generated themes of mass tourism, unfamiliar Italy, and culture. As the names of the themes suggest, the first two themes generated from the two information sources represent opposite ways of illustrating the destination, while the theme of culture represents the main similarity between the traditional and digital information sources. Regarding the three countries, it was noticed that each Scandinavian country focused on specific features of Italy, with Swedish tour operators focusing on the history and culture of the destination, Danish ones focusing on sea, beaches and urban areas, while Norwegian tour operators concentrated on natural landscapes and countryside areas of Italy.

Previous research has demonstrated that a network model of destination value creation (i.e. the Destination Value System model) based on the flows of travelers within a destination can be used to estimate and predict individual attractions’ marginal contributions to total visitor expenditures. While development to date of the Destination Value System (DVS) has focused on the value created from dyadic relationships within the destination network, previous research supports the proposition that system-level network structures significantly influence the total value created within a destination. This study, therefore, builds upon previous DVS research in order to determine the relationships between system-level network structures and total value creation within a destination. To answer this question econometric analysis of panel data covering 43 Florida destinations over the period from 2007 to 2015 was conducted. The panel data was created utilizing volunteered geographic information (VGI) obtained from 4.6 million photographs shared on Flickr. Results of econometric analysis indicate that both seasonal effects and DVS network structures have statistically significant relationships with total tourism-related sales within a destination. Specifically, network density, network out-degree centralization, and network global clustering coefficient are found to have negative and statistically significant effects on destination value creation, while network in-degree centralization, network betweenness centralization, and network subcommunity count are found to have positive and statistically significant effects. Quarterly seasonality is also found to have dynamic and statistically significant effects on total tourism-related sales within a destination. Based on the network structures of destinations and total tourism related sales within destinations, this study also uses k-means cluster analysis to classify tourism destinations into a taxonomy of six different system types (Exploration, Involvement, Development I, Development II, Consolidation, and Stars). This taxonomy of DVS types is found to correspond to Butler’s (1980) conceptualization of the destination life cycle, and additional data visualization and exploration based on the DVS taxonomy finds distinct characteristics in destination structure, dynamics, evolution, and performance that may be useful for benchmarking. Additionally, this study assesses the quality of VGI data for tourism related research by comparing DVS network structures based on Flickr data and visitor intercept survey data. Support for the use of VGI data is found, provided that thousands of observations are available for analysis. When fewer observations are available, aggregation techniques are recommended in order to improve the quality of overall destination network system quantification. This research makes important contributions to both the academic literature and the practical management of destinations by demonstrating that DVS network structures significantly influence the economic value created within the destination, and thus suggests that a strategic network management approach is needed for the governance of competitive destinations. As a result, this study provides a strong foundation for the DVS model and future research in the areas of destination resiliency, “smarter” destination management, and tourism experience design. / Tourism and Sport