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Innovation in the services sector is becoming increasingly important to understanding the innovative behavior of the US economy, as more and more sectors become increasingly populated with services. Traditional goods-manufacturing sectors remain a dominant theoretical and empirical force with respect to the measurement and management of innovation activity at different levels of the economy. This includes industry, sector, and firm levels of theory and practice. As the shifting trajectory away from traditional technology-manufacturing to services, it becomes incumbent on researchers in service dominated sectors such as tourism to better understand effective ways to measure and manage innovation in services. This dissertation comprises three essays which singly and in combination, focus on the measurement and management of innovation in services with specific and increasing attention to the role of the destination management organization. The major bodies of literature used in these essays are the innovation literature, destination marketing and management, and networks. There are multiple lenses used to analyze services within the tourism context at the industry, destination, and organization levels. In addition to multiple lenses, multiple analytic methods are employed raging from latent growth modeling techniques to convergent parallel mixed methodology. The thesis contributes to the destination management and marketing literature in three ways. First, the thesis integrates tourism production industry into the comparison of between and within group trajectories. Second, the study empirically tests the mediating effect of network orchestration, and contributes mixed methods to the tourism field. / Tourism and Sport

Current works of bike demand prediction mainly focus on cluster level and perform poorly on predicting demands of a single station. In the first task, we introduce a contextual based bike demand prediction model, which predicts bike demands for per station by combining spatio-temporal network and environment contexts synergistically. Furthermore, since people's movement information is an important factor, which influences the bike demands of each station. To have a better understanding of people's movements, we need to analyze the relationship between different places. In the second task, we propose an origin-destination model to learn place representations by using large scale movement data. Then based on the people's movement information, we incorporate the place embedding into our bike demand prediction model, which is built by using multi-source large scale datasets: New York Citi bike data, New York taxi trip records, and New York POI data. Finally, as deep learning methods have been successfully applied to many fields such as image recognition and natural language processing, it inspires us to incorporate the complex deep learning method into the bike demand prediction problem. So in this task, we propose a deep spatial-temporal (DST) model, which contains three major components: spatial dependencies, temporal dependencies, and external influence. Experiments on the NYC Citi Bike system show the effectiveness and efficiency of our model when compared with the state-of-the-art methods.

It is possible to observe certain stagnation of the winter tourism which is linked with winter sports. The overall number of participants is not growing any more, however, new ski resorts are being set up and the competition is continuously rising. In order to stay competitive, it is necessary to take into account reasons which leads to the final decision of a tourist to choose certain ski resort. This thesis concentrates on the concepts that influence the process of choosing the destinationThese concepts, which are based on foreign literature are following: destination image, place attachment, loyalty. During the winter season of 2015 there was also a research conducted at the recently developing destination Lipno nad Vltavou, which was based on observations and interviews with the visitors. The above mentioned concepts were applied here. Powered by TCPDF (www.tcpdf.org)

The main goal of this diploma thesis is to focus on destination management and analyse development potential, turism strategy and suggest further possibilities for tourism development in the Central Bohemia Region. The thesis is devided into theoretical and practical parts. The theoretical part is devoted to the explanation of basic concepts and deals with the topic of destination management. The practical part contents analysis of the Central Bohemia Region, turism strategy and the final evaluation of current situation and development potential of the region.

The main objective of this thesis is to approach the issue of management of destinations and to analyse the potential for development, the strategy for the development of tourism, and to propose more opportunities for the development of tourism in the Pardubice region. The work is divided into two parts - the practical and theoretical part. The theoretical section explains the basic concepts and discusses the issue of destination management. Practical part deals with a detailed analysis of the Pardubice region, strategies for the tourism development and the final evaluation of the current state including the developement potential of the region.

Nous postulons que la destination touristique, objet de recherche de ce travail, est un système complexe d’éléments en interaction qui se doit d’être commercialisée et gérée. Ainsi, pour maintenir sa compétitivité et son attractivité dans un environnement concurrentiel fort, les Organismes de Gestion de la Destination (OGD) et les professionnels du secteur se doivent d’adopter des stratégies opérationnelles et des outils d’aide à la décision. Cette recherche consiste à analyser la performance, principalement via l’efficience, de la destination touristique, afin de distinguer les meilleures pratiques observables (« benchmarks » ou points de comparaison) et d’apporter des recommandations managériales aux décideurs. À travers divers acteurs et échelles du territoire touristique français, nous tentons de soulever plusieurs questions de recherche liées à l’optimisation de la performance, problématique centrale en sciences de gestion. Les principaux enjeux de ce travail résident dans la valorisation de méthodes quantitatives d’aide à la décision destinéesau management du tourisme. / We postulate that tourism destination, which is the research subject of this study, is a complex system of interacting elements. Tourism Destination has to be marketed and managed. Thus, to maintain its position and attractiveness in a highly competitive environment, the Destination Management Organization (DMO) and professionals have to adopt operational strategies and tools for decision-making. The purpose of this thesis is to analyse the performance, mainly through efficiency, of the tourism destination in order to identify the best practices (benchmarks) and provide managerial recommendations to decision makers. Through various actors and different scales of the French territory, we intend to raise several issues related to performance optimization, a core research problem in management. The main purposes of this thesis lie in the use of decision-making with quantitative methods for tourism management.