In the new era of information technology, teachers will have to keep learning in order to offer students with proper directions. However; the traditional teacher professional training modes still have a lot of problems, so the teachers¡¦ aspiration in pursuing further professional development is not high. Teacher¡¦s training through the Internet using digital school therefore becomes one of the possible solutions to solve this problem. The management model of digital school is different than the traditional physical school; it will be difficult to run the school continuously if key factors are not operated and managed well. The Kaohsiung city K12 digital school is founded in 2001 by Prof. Nian-Shing Chen. It has already opening teachers¡¦ training courses for 10 semesters, and its excellent achievement has obtained an honor of wining the third place for the competition held by the Executive Yuan in Taiwan in 2002. It certainly exhibited its excellent model in implementation and operation. Therefore; exploring the critical success factors of K12 digital school will be able to advance its strengths to the digital school operators, for helping them to operate the digital school continuously and extend to the other cities and counties around Taiwan. All the teachers from the elementary and secondary schools will be able to have a more innovated and convenient digital learning environment. This study adopted Analytic Hierarchy Process for the research of critical success factors for K12 digital school, and the result showed that course content is the critical success factor. The most important elements are encouraging interactive course design, and the requirements of the course content that fits the students. We hereby recommend the operators of K12 digital schools to acquire the requirements of the teachers in advance before planning the courses, and offering the courses that will be useful for them. While designing the courses, the schools also need to consider enhancing the interactive and corporative learning activities. We also suggest the K12 digital schools to gain the supports of principles and government administrative chiefs. The positive reward system will be one of the attractions to encourage teachers to attend the training courses in K12 digital schools. The selection of the courses and the training of the teaching team are also the key factors to the success of running K12 digital schools.

The current of private participation in the public infrastructure buildings is dramatically spreading in Taiwan. Neoliberalism promotes development of privatization, and it is thought that privatization can release the financial, technical, and manpower burden of government. But it also seems to have the rational explanation that government avoids their responsibility. Pubic-Private Partnership does not simply transfer responsibility, it transfers the role and function between pubic and private sectors. As the Act for promotion of Private Participation in Infrastructure Projects (Act of public-private partnership) is carried out to establish the role of public and private sector in public-private partnership program. This study uses Fuzzy Analytic Hierarchy Process to establish risk management in public-private partnerships. The inaccuracy questions are judged by attending quantification weights of principles. The conclusion for suggests to Public Construction Commission, Executive Yuan will amending Act of public-private partnerships. Keyword: Public-Private partnerships, Neoliberalism, Fuzzy Analytical- Hierarchy Process, Risk Management

In the book of ¡§The Practice of Management.¡¨ Peter Drucker (1989), one of the most famous masters of management field, noted that being the only dynamic element of the company, the quality and performance of managers determine the fate of the company. Indeed, as the world changes getting faster and faster, the role manger played is becoming more and more important. In order to advance the competency managers need, enterprises worldwide are putting more and more effort to develop all kinds of competency assessment models that they can use as the base to make decision about managerial competency activities. Limited by the skill or ability of assessor, the traditional general assessment was unable to make fare judgments and the effect is hard to see. On the other hand, because the Assessment Center often takes longer time and more money to implement, it also limits the number of people to be assessed. Therefore, by using the AHP method of Multi-Criteria Evaluation to construct a new managerial competency assessment model, the assessor would be able to obtain the information needed to assist the relative managerial competency activities with a more systematic ways and fewer steps than before. The study adopted Borda Function and AHP method conduct a further survey and analysis with the semi-conductor industries. The findings are list as bellows: 1. Constructing the managerial competency assessment weighting system, is consisted of 8 main indicators and 39 sub-indicators, which shows a correct direction to conduct activities 2. Meaning on the scale of weighting indicators, indicates the relative degree of importance between indicators, which can show the key points to accelerate the effects of relative activities. 3. The AHP Management Competency Assessment Model is developed from the mathematics which can reflect the impact on decision making, caused by fuzzy situations and which can provide valuable information about the assessment management of management competency. 4. An empirical study was conducted to examine this model. The target of this empirical study is one electronics company. Top executives of the company heavily recognize this analytical result of the main evaluative indicator and sub-indicator. They consider this research¡¦s model having highly explanative capacity and can be reference of future managerial related activities. Keyword: Management Competency, Fuzzy Theory, Fuzzy Analytic Hierarchy Process (FAHP).

The research desires to evaluate the resources allocation of the educational priority area project in Taiwan. The methods of the research are interview of experts and analytic hierarchy process (AHP). The results are: 1. the experts all recognize that educational priority area project is very important for our primary education in our country; 2. the experts think the indicators weight of the educational priority area project should differentiate between all indicators and each indicator would has its own weight. 3. By using AHP, we get the weights and orders of the indicators which used in the educational priority areas project in practice: i. Improvement to the school with more students of the aboriginal and low-income households; ii. Improvement to the school at the remote districts; iii. Improvement to the school with more students of the single parent family or grandparents-bleeding family; iv. Improvement to the school with more students of the discontinue schooling or need of more guidance and assistance; v. Improvement to the school with loss of the school-age students.

Abstract Low wage is seemed to be the powerful weapon of the firms in China and Southeast Asia. Many traditional and high-tech firms started to build the manufacturing base in those places. The condition causes the gap in our industry structure. In order to improve the industry level and national competitiveness of Taiwan, information service industry, which has the features both from high-tech and service industry, plays an important role during the process. Location expresses the spatial distribution and accumulative behavior of the firms. Lack of researches about the location choice behaviors of information service industry is the reason why I choose the topic. Analytic Hierarchy Process (AHP), which has the characteristic with multi-criteria, indefinite, group decision-making, qualitative, is the method what I use in this research. Analyzing the questionnaire, the sequence from high to low of the priorities of the locational choice factors is: market factors, industrial relevance factors, policy factors, environment factors and cost factors. The results what we found in the research are listed below: 1.Comparing with traditional manufacturing industry, cost factor is not as important as before for information service industry. 2.Why information service industry firms think highly of industrial relevance factors and policy factors is inherited from the high-tech industry. 3.Why information service industry firms think highly of market factors is inherited from the service industry. 4.The result, which makes us surprised very much, is that information service industry does not emphasize the agglomeration effect of the firms. It maybe means that the need of building a science park may not be caused by the benefit of agglomeration.

After decades of development, Taiwan¡¦s IC industry has become the world¡¦s third largest manufacturing center, and claimed the positions of the world¡¦s first largest IC foundry industry, second largest packaging industry, as well as second largest IC design industry. For an industry to be successful, in addition to the provision of various niches and resources from private businesses, it requires the coordination of industrial policy-making, peripheral conditions, and infrastructures. Therefore, to enhance current competitive advantages and facilitate industrial transformation for greater competitiveness, the government needs to make effective industrial policy to promote competitive environment. For this reason, this study intends to investigate the current competitive environment of IC industry, how the government responds in terms of stipulating rules and regulations, and what the primary concerns of policy adoption are. It is clear that aside from an effort by businesses, the assistance from government is pivotal to industrial development as well. This study is an attempt to first, collect literature related to industrial analysis and policy; secondly, to analyze the competitive environment of IC industry and thereby find out the relevant policies that influence the managerial effectiveness of Taiwan¡¦s IC industry; and lastly, to survey IC companies and experts on IC industry by utilizing a questionnaire designed based on Fuzzy Analytic Hierarchy Process. After prioritizing the concrete measures for a variety of dimensions of IC industrial policies based on the survey results, the researcher proposes top ten most emphasized including: the assistance in introduction of techniques, the training of technological talented, the aid in the development of SOC technique, the subsidy in R&D of innovative techniques, the accelerated depreciation on R&D equipments, the implementation of three-links, the tariff exemption for importing R&D equipments, the enhancement of National Defense Substitute Servicemen (NDSS), the training of marketing talented, and the enactment of patent rules. Accordingly, this study concluded by providing suggestions for government, IC industry, and future research.

Toady, the rapid changes in business environment of shortened product life cycles and advanced technology, drew the attention upon research and development¡¦s (R&D) contribution to competitive advantage. As a result, valuing the performance of R&D has become exceedingly important. This study established a general framework of R&D performance measurements by reviewing and organizing literatures and researches on R&D performance, along with giving an insight on what are the most valued measurements with applying the Analytic Hierarchy Process (AHP) method. The questionnaire which developed from AHP was filled by senior managers of R&D. Valuing from industry and R&D function perspective, we had the results of four similar core R&D performance measurements of Customer Satisfaction, Technology commercialized, Market Share, and Technical achievement. However, the individual ranking from these perspectives, are quite different. In the sense of high-technology and traditional industry, having the same top five measurements of Customer Satisfaction, Market Share, Technical achievement, Technology commercialized, and Profitability, the ranking for each industry is differ. As for new product development (NPD) and process improving function, having the same four out of five core R&D performance measurements of Customer Satisfaction, Market Share, Access to New Market, and Technology commercialized, the ranking for each function is differ. The results for priorities and weights of each R&D performance measurements, are not only giving an insight on the most preferred measurements, but also when coming for measuring performance, the weights upon the measurements should be considered for more accuracy in performance evaluation. Also the indifference of core measurements for differ industries or R&D functions, which indicates when establishing performance measurement in practice, there can be same measurements; however there should be different ways upon valuing, since the priority for them are different.

ABSTRACT As the life expectancy in Taiwan has gradually increased, and more and more people retire at a young age, even below 50, the duration of retired life for Taiwanese may be prolonged to nearly 30 years. Most of the retirees are in very good health conditions and full of energy during the first 25 years or even longer. Hence, an early plan for arrangements for the 25-year retired life is indeed essential to creating a cozy, healthy living environment, allowing one to live happily after retirement while having a place for leisure activities. Finding an excellent environment for a resort for leisure and health purposes for retirees is thus an important tip. In recent years, the area of fallow and abandoned farms has rapidly increased, as a result of cheap produce since Taiwan joined WTO. The government has thus encouraged the use of idle farms in the leisure industry, as it may not only stimulate development of rural villages, but also facilitate the emergence of resorts for leisure and health purposes due to the excellent environment in rural villages. Consequently, many farm resorts for leisure and health purposes run by retirees sprouted. The purpose of this study is to figure out the development trend of farm resorts for leisure and health purposes, and to gain a further understanding of the key decision factors for retirees in selecting a farm resort for leisure and health purposes. ¡@¡@In this study, three individual health and culture villages established by Best Future, Gobo Service, and Formosa Plastics Group, are selected to perform an Analytic Hierarchy Process (AHP) analysis of five possible key decision factors in selecting farm resorts for leisure and health purposes, such as prices, health care, geographic environment, hardware facilities, and leisure activities, in order to understand the factors that retirees have taken into consideration when choosing a favorable farm resort for leisure and health purposes. Interviewees comprise the following: 3 personnel from the industry, including Mr. Bai, Yao-Ren, President of Baofa Retirement Village, Mr. Chu, Tai-An, Director of Gobo Sheng-en Leisure and Health Club House, and Mr. Song, Ru-Kuei, responsible person of He-nong Health & Life Accommodation; 3 personnel from government agencies, including Mr. Su, Jhong-Yuan, Deputy Director-general of the Tourism and Traffic Bureau of Kaohsiung County Government, Mr. Yang, Siao-Jhih, Chief of the Agriculture Section of Meinong Township Office, and Ms. Jhang, Ting-Siou from the Social Affairs Bureau of Kaohsiung City Government; 3 scholars from the academia, including Dr. Chen, Wei-Ren, Chairman of the Department of Leisure, Recreation and Tourism Management of Shu-Te University, Dr. Hsieh, Ching-Hsiang, Ex-Chairman of the Department of Plant Industry of National Pingtung University of Science and Technology, and Dr. Luo, Rong-Heng, Chairman of the Department of Finance of Nan Kai University of Technology; and 3 customers living in each of the three health and culture villages established by Best Future, Gobo Service, and Formosa Plastics Group, a total of 18 participants from 4 different categories. In-depth interviews are then conducted with all of the interviewees to collect qualified and quantified data from AHP questionnaires for further analysis, in order to better understand the key decision factors in selecting farm resorts for leisure and health purposes. Through simultaneous collection and analysis of qualified and quantified data from AHP questionnaires, five key decision factors highly regarded by the government agencies, scholars, business owners, and customers in terms of health and culture villages are gained. The hierarchy of these five key decision factors, such as prices, health care, geographic environment, hardware facilities, and leisure activities, determined by their respective relative weights, is as follows: geographic environment (0.287) > hardware facilities (0.286) > prices (0.218) > health care (0.186) > leisure activities (0.176). The key decision factors in these three health and culture villages established by Best Future, Gobo Service, and Formosa Plastics Group with top five average weights are: 1. hardware facilities in Chang Gung Health and Culture Village (0.105); 2. geographic environment in Gobo Sheng-en Leisure and Health Club House (0.095); 3. geographic environment in Chang Gung Health and Culture Village (0.092); 4. hardware facilities in Gobo Sheng-en Leisure and Health Club House (0.090); and 5. geographic environment in Baofa Retirement Village (0.087). The above results roughly correspond to the results obtained through AHP analysis of qualified and quantified data. Key words: Leisure industry, Retiree, Farm resort, Analytic Hierarchy Process

Most of Shopping malls in Taiwan locate in downtown. In city Taipei, city Taichung, and city Kaohsiung, homogeneous competitiveness between rapidly growing department stores blooms. The majority of survivalists are with great enterprise groups as capital back-up. Chain shopping mall becomes a trend. The growth of shopping mall steps into a high density and intense competitiveness age. When facing such highly homogeneous competitive shopping malls, how to find the way out from the price competition of the red ocean, and to create the successful market share, is the main point of this paper. In this study, we adopted the Satty¡¦s Analytic Hierarchy Process (AHP) to establish individual multi-estimate criteria models of the key decision-making factors, and then by AHP qualitative and quantitative questionnaires, undertook research and analysis of various key decision-making factors. Finally, the Analytic Hierarchy Process was applied to calculate the ¡§weighting¡¨ and to sequence the priority of these factors so that the weighting of key success factors can be discussed and proved. Through SWOT analysis and five forces as well as a comparison with Treasure Island, the key success factors for the Dream Mall were identified. The result of the research is to help to offer a develop-oriented location of shopping malls and to invent the management strategies which differ from competitors. According to the result of survey that we can define the sequence are transportation, parking, multifunction and customer stratify. Meanwhile, in the factor of transportation which the public transportation system is first priority; in the factor of parking which the parking space is the first priority; in the factor of multifunction which the department store and movie town is the first priority; in the Customer stratify which the safety is most concern by customer. It is helpful and meaningful which provide to President Shopping mall owner define the strategy according to the key success factor.

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