Recently many people spent leisure time for tourism. The local government uses this kind of trend to design elaborate of festivals to attract visitors. There are more and more festivals in Taiwan, but few activities like Pingtung Bluefin Cultural Festival and Tainan Paiho Lotus Carnival can create more than ten million dollars. This research chooses these cases, and through depth interview to collect information. The core question is ¡§ In the period of festival, what the marketing mix and business strategies are, how the product is chose, and how to dispose related resources¡¨. The conclusion is following¡G 1. The local government represents some unique local resources that express the critical internal resources of festival, including productive, cultural and tourism resources. 2. For designing activities, we can develop package tourism; home stay tourism, cultural tourism and the tourism that the visitors can participate in themselves. 3. Developing festivals, we should not only merchandise festival products but we also insist on preserving district cultural. 4. The local government combines industry and culture to promote tourism, upgrade industry, and divert tourism activities. 5. The best model for Taiwanese festival is to set up a foundation to manage festivals. 6. When local government promotes festivals, making good use of marketing strategies, designing itemized media plans, encouraging public and private cooperation involving, and establish first brand image are important.

The analysis of the large-scale international multi-sports event and city development¡Ðtaking the 2009 World Games pre-events as examples. Since winning the right to host the 2009 World Games in June 2004, Taiwan has been making numerous preparations for the big event. During the preparation period, intense preparations and the support of human resource as well as material resource are essential. However, Taiwan is currently lacking of experienced organizations on hosting large-scale international sports events and un-unified affair right. The promotion of the central policy rarely takes into account the diverse local public opinion over an extended period of time, which causes the inappropriate resource allocation for local development. The preparation is full of difficulties because the central and local resources could not bring out the full beneficial result. This research aims to analyze the 2009 World Games pre-events by using the data and literature review analysis. It does not only improve the hardware and software of city¡¦s structure. It also offers the opportunity for citizens to interact with various cultures. The most important thing is increasing the centripetal force of the people in a short time and promoting Taiwan into the international stage. The key factor is the marketing tactics brought out by the sports event, which expresses concretely the cultural integration, united harmony and state consciousness of Taiwan. The marketing tactics brought out by sports event pushes the rapid development of the city appearance, creative and artistic livelihood, and sustainable environment and tourism industries. We hope to drive the economic development by hosting large-scale sports event. Our goal is to promote the city and show the vitality of entire city. The global participative sports event will bring the long-term benefit for the city economy. Kaohsiung should work harder in the future, striving actively for the right to host international event which helps internationalize the city, expand commercial possibilities, and gain people recognition.

Universiẗat, Diss., 2001--Tübingen.

The thesis deals with the issue of management and Event is divided into two parts. The first part is a literature review that addresses in detail the terms of event management, Their interdependence and continuity of the marketing mix. The Theoretical part is focused on the planning, goals and typology of events. The second section converts these theoretical knowledge, into practical part, which deals with the organization of the event by Bomton, on behalf of Aichi or Art Image Challenge International. Here is description of the process of preparation and subsequent Implementation of the event. The emphasis is on the Principles of organization this event, observation and the instruction of instructions for organizing this event. Also determines whether it complied with all of targets. With assistance of a guided interview with the organizer of the event and the survey with the guests of the event determines whether the objectives have been Achieved events. This event helps created comprehensive guide that ensures the successful holding of the gala evening and contentment from both side from Bomton and from visitors of the event.

This thesis concerns with syntesis and evaluation of event marketing activities at sports events. Besides assembling a functional manual, it offers subjective and objective suggestions how to improve some best practices. Organizational manualu was set up using a semistructured survey of two sports events organizer groups. One of them is accountable for RunTour series, the other is preparing a brand new event. Where event marketing comes into play when organizing a new event is shown on the later one. Thesis offers an overview of sponsors event marketing activities, hence maret trends, as both organizing subjects are capacities in their field and at the end of the thesis, all is summarized to a severa steps guide n how to organize a succesfull event implementing event marketing functionality. There is also a scheme for better visibiity of this complex matter. These are also main contributions of the paper.

Nowadays, knowledge discovery on social media is attracting growing interest. Social media has become more than a communication tool, effectively functioning as a social sensor for our society. This dissertation focuses on the development of methods for social media-based spatiotemporal event detection and forecasting for a variety of event topics and assumptions. Five methods are proposed, namely dynamic query expansion for event detection, a generative framework for event forecasting, multi-task learning for spatiotemporal event forecasting, multi-source spatiotemporal event forecasting, and deep learning based epidemic modeling for forecasting influenza outbreaks. For the first of these methods, existing solutions for spatiotemporal event detection are mostly supervised and lack the flexibility to handle the dynamic keywords used in social media. The contributions of this work are: (1) Develop an unsupervised framework; (2) Design a novel dynamic query expansion method; and (3) Propose an innovative local modularity spatial scan algorithm. For the second of these methods, traditional solutions are unable to capture the spatiotemporal context, model mixed-type observations, or utilize prior geographical knowledge. The contributions of this work include: (1) Propose a novel generative model for spatial event forecasting; (2) Design an effective algorithm for model parameter inference; and (3) Develop a new sequence likelihood calculation method. For the third method, traditional solutions cannot deal with spatial heterogeneity or handle the dynamics of social media data effectively. This work's contributions include: (1) Formulate a multi-task learning framework for event forecasting; (2) simultaneously model static and dynamic terms; and (3) Develop efficient parameter optimization algorithms. For the fourth method, traditional multi-source solutions typically fail to consider the geographical hierarchy or cope with incomplete data blocks among different sources. The contributions here are: (1) Design a framework for event forecasting based on hierarchical multi-source indicators; (2) Propose a robust model for geo-hierarchical feature selection; and (3) Develop an efficient algorithm for model parameter optimization. For the last method, existing work on epidemic modeling either cannot ensure timeliness, or cannot characterize the underlying epidemic propagation mechanisms. The contributions of this work include: (1) Propose a novel integrated framework for computational epidemiology and social media mining; (2) Develop a semi-supervised multilayer perceptron for mining epidemic features; and (3) Design an online training algorithm. / Ph. D.

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