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Huang, Han-Chen
- Research on Decision Making Regarding High-Business-Strategy Cafe Menu Selection
Abstract Views :195 |
PDF Views:138
Authors
Affiliations
1 Department of Leisure Management, Yu Da University of Science and Technology, TW
2 Department of Tourism and MICE, Chung Hua University, TW
3 Department of Hospitality Management, Chung Hua University, TW
4 Department of Information Management, Yu Da University of Science and Technology, TW
1 Department of Leisure Management, Yu Da University of Science and Technology, TW
2 Department of Tourism and MICE, Chung Hua University, TW
3 Department of Hospitality Management, Chung Hua University, TW
4 Department of Information Management, Yu Da University of Science and Technology, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 7, No 2 (2015), Pagination: 89-97Abstract
In contemporary popular leisure trends, modern restaurants have been innovative regarding all aspects of the restaurant business, such as food, leisure, and consumption, thus evolving into cafes with unique characteristics and styles, which differ greatly from traditional restaurants. In order to meet consumers' preferences of delicious food and beautiful decor, many new cafes have opened, and new cafe dishes are introduced. The first impression of the menu content alone can determine the success or failure of a cafe. Although not all newly opened cafes are successful, opening a cafe is still an entrepreneur dream for many people. In Japan, it is commonly believed that cafe is equal to gourmet food, which is also often the key to sustainable management of a cafe. However, how is the menu content decided? As the menu content cannot satisfy all guests, cafés have their own operating strategies to determine the structure of a menu. This study aims to explore the decision making of cafe operators to create a high-business-strategy menu, and use Analytic Hierarchy Process (AHP) to discuss the selection of cafe menus to help the cafés achieving sustainable development. The research methods included literature review, expert interview, and AHP. The findings can serve as references to café operators.Keywords
Business, Strategy, Analytic Hierarchy Process.Full Text
- Analysis of Selection Indicators of Badminton Players by the Delphi Method and Analytic Hierarchy Process
Abstract Views :214 |
PDF Views:109
Authors
Affiliations
1 Department of Tourism and MICE, Chung Hua University, TW
2 Department of Information Management, Yu Da University of Science and Technology, TW
1 Department of Tourism and MICE, Chung Hua University, TW
2 Department of Information Management, Yu Da University of Science and Technology, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 7, No 1 (2015), Pagination: 19-31Abstract
This study aims to clarify the selection standard of potential badminton players and construct an evaluation model of badminton players. Through literature review and the Delphi Method, this study validated the selection indicators of badminton team players: body type, physical qualities, physical functions, psychological qualities, and intelligence level, including a total of 17 detailed indicators. The researcher then interviewed badminton coaches and applied Analytic Hierarchy process (AHP) to determine the importance of the indicators of potential badminton players for badminton coaches. A selection model of badminton players was constructed. The results can serve as reference for badminton coaches' scientific and objective selection of players.Keywords
Delphi Method, Analytic Hierarchy Process, Selection Model.Full Text
- Analysis of Key Considerations of the Public when Choosing Recreational Activities
Abstract Views :214 |
PDF Views:108
Authors
Affiliations
1 Department of Tourism and MICE, Chung Hua University, TW
2 Department of Information Management, Yu Da University of Science and Technology, TW
3 Da-Tung Elementary School, Miaoli County, TW
1 Department of Tourism and MICE, Chung Hua University, TW
2 Department of Information Management, Yu Da University of Science and Technology, TW
3 Da-Tung Elementary School, Miaoli County, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 7, No 1 (2015), Pagination: 105-117Abstract
This study aims to investigate the key considerations of the public when choosing recreational activities, and concludes the key factors to be considered when choosing recreational activities, as well as the influence of various factors by means of literature review, expert interview, questionnaire survey, and Analytical Hierarchy Process (AHP). Through analysis, this study identified 12 influential factors for selecting recreational activities, among which the most important 6 influential factors are improving physical ability, body building, pressure relief, traffic convenience, cost, and comfort of exercise environment, at 77.6%.Keywords
Recreational Activities, Analytical Hierarchy Process, Influence.Full Text
- Remote Real-Time Process and Production Monitoring Mechanism of Lighting Parts for Outdoor Recreation
Abstract Views :217 |
PDF Views:121
Authors
Affiliations
1 Yu Da University of Science and Technology, TW
2 Chung Hua University, TW
1 Yu Da University of Science and Technology, TW
2 Chung Hua University, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 6, No 4 (2014), Pagination: 185-193Abstract
This study collected and analyzed Light-Emitting Diode (LED) parameters (forward conduction voltage VF, reversed breakdown voltage, and reversed linkage current) and output information in testing LED back-end process and packaging. Moreover, it developed a remote control operation platform using LabVIEW of national instruments (NI), and provided an interface for user operation, data storage analysis, and specification evaluation. Accordingly, a remote real-time process monitoring and automatic production specification checking mechanism can be developed to replace traditional manual quality control operation, which directly deliver light-emitting diodes, while reducing high labor and production costs. Through evaluation of the proposed real-time process capability, the collected light-emitting diode parameters are automatically adjusted to the production specifications, which meet the process capability and are returned to the testing instrument in real time. The products can thus meet the process capability of the batch, the rework rate can be effectively reduced, and the passing rate of delivery quality control can be improved. The proposed remote real-time process monitoring and automatic production specification checking mechanism can analyze and evaluate production specification data, and monitor and store historical data for the long term in conjunction with the database system. Moreover, the light-emitting diode can be automatically checked by the evaluation process capability in order to improve production technology and process parameters. Thus, a solution for the optimization of light-emitting diode parameter specifications can be established to promote effective management of production equipment, improve production efficiency, and integrate production flow.Keywords
Remote Monitoring, Real-Time Evaluation, Process Capability, Man-Machine Interface.Full Text
- A Prediction Model for Taiwan Tourism Industry Stock Index
Abstract Views :179 |
PDF Views:119
Authors
Affiliations
1 Yu Da University of Science and Technology, TW
1 Yu Da University of Science and Technology, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 5, No 6 (2013), Pagination: 113-120Abstract
Investors and scholars pay continuous attention to the stock market, as each day, many investors attempt to use different methods to predict stock price trends. However, as stock price is affected by economy, politics, domestic and foreign situations, emergency, human factor, and other unknown factors, it is difficult to establish an accurate prediction model. This study used a back-propagation neural network (BPN) as the research approach, and input 29 variables, such as international exchange rate, indices of international stock markets, Taiwan stock market analysis indicators, and overall economic indicators, to predict Taiwan's monthly tourism industry stock index. The empirical findings show that the BPN prediction model has better predictive accuracy, Absolute Relative Error is 0.090058, and correlation coefficient is 0.944263. The model has low error and high correlation, and can serve as reference for investors and relevant industries.Keywords
Artificial Neural Network, Stock Market Analysis, Prediction Model.Full Text
- Research on Decision Making Regarding in Dating Events for Unmarried Female Junior High School Teachers
Abstract Views :226 |
PDF Views:120
Authors
Affiliations
1 Department of Tourism and M.I.C.E., Chung Hua University, TW
2 GuangWu Junior High School, TW
1 Department of Tourism and M.I.C.E., Chung Hua University, TW
2 GuangWu Junior High School, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 9, No 1 (2017), Pagination: 85-93Abstract
This study intends to investigate the mate selection criteria and weights of unmarried female junior high school teachers in Taiwan. This study used the Delphi method to clarify mate selection criteria. The primary assessment criteria included 4 items: social condition, personal condition, emotional condition, and family background. The secondary assessment criteria included 24 items. This study used AHP to determine that, among the primary assessment criteria, the order of importance is, as follows: emotional condition, personal condition, social condition, and family background. Among the secondary assessment criteria, the order of importance of the top 10 is, as follows: carefulness and meticulousness, tenderness and thoughtfulness, sense of safety, parents are alive and healthy, health status, conviction record, birth order, monthly income, sense of humor, and value.Keywords
Delphi Method, Analytic Hierarchy Process, Mate Selection.Full Text
References
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- Chang,J.J.(2001)A Study Among Sex-Role, Achievement Motivation and Marriage Attitude of the Elementary Unmarried Teachers, Master’s thesis, Graduate Institute of Family Education, National Chiayi University, Taiwan.
- Lin, C.P.(2002) A Study on Mate Selection Preference of Unmarried Adolescents, Master’s thesis, Graduate Institute of Education, National Chengchi University, Taiwan.
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- Hsieh, P.S.(1995) The Marital Attitudes and Life Adjustment of the Unmarried Female Teacher in Junior High School, Master’s thesis, Graduate Institute of Human Development & Family Studies, National Taiwan Normal University, Taiwan.
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- Lin, C.P.(2002) A Study on Mate Selection Preference of Unmarried Adolescents, Master’s thesis, Graduate Institute of Education, National Chengchi University, Taiwan.
- Teng, J.Y. Tzeng, G.H.(1989) “Insights, Characteristics, and Application of Analytic Hierarchy Process (I)”, Journal of the Chinese Statistical Association, Vol. 27, No. 6, pp.5-27.
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- Hou, C.I., Huang, H.C., Tsai, Y.H., Lo, C.Y.(2015), “Research On Decision Making Regarding High-Business-Strategy Café Menu Selection”, International Journal of Computer Science & Information Technology, Vol. 7, No. 2, pp. 89-97.
- Saaty, T.L.(1980) Analytic Hierarchy Process, McGraw-Hill, NY, USA.
- Tourism Demand Forecasting Model Using Neural Network
Abstract Views :295 |
PDF Views:144
Authors
Affiliations
1 Department of Tourism and M.I.C.E., Chung Hua University, TW
1 Department of Tourism and M.I.C.E., Chung Hua University, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 9, No 2 (2017), Pagination: 19-29Abstract
Travel agencies should be able to judge the market demand for tourism to develop sales plans accordingly. However, many travel agencies lack the ability to judge the market demand for tourism, and thus make risky business decisions. Based on the above, this study applied the Artificial Neural Network combined with the Genetic Algorithm (GA) to establish a prediction model of air ticket sales revenue. GA was used to determine the optimum number of input and hidden nodes of a feedforward neural network. The empirical results suggested that the mean absolute relative error(MARE) of the proposed hybrid model's predicted value of air ticket sales revenue and the actual value was 10.51%and the correlation coefficient was 0.913. The proposed model had good predictive capability and could provide travel agency operators with reliable and highly efficient analysis data.Keywords
Artificial Neural Network, Genetic Algorithm, Air Ticket Sales, Prediction Model.Full Text
References
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- Zhu, Z and Zhao, J. (2011). Comparative Study on the Sources of e-Business Competitive Advantages between Travel Agencies and Online Travel Service Firms.Journal of China University of Geosciences Social Sciences Edition, 11, 114-119.
- Chen, S. Y. and Liu, H.H. (2010). A Study on Business Models of on-line Travel agency-The Case of ezTravel.Journal of Leisure and Tourism Industry Research, 5, 90-99.
- Dai, M.H.(2011). Unfair Competition in Travel Service Industry.Journal of Eastern Liaoning University (Social Sciences), 13, 38-42.
- Chang, H.T., Chen, P.C., Huang, H.C., and Lin, D.H. (2013). A Study on the Application of Neural Network to the Prediction of Weight Control.International Journal of Engineering Research and Development, 5, 78-85.
- Huang, H.C. and Ho,C.C. (2012). Back-Propagation Neural Network Combined With a Particle Swarm Optimization Algorithm for Travel Package Demand Forecasting.International Journal of Digital Content Technology and its Applications, 4, 194-203.
- Tourism Bureau, M.O.T.C. Republic of China (Taiwan). (2016b). Statute for the Development of Tourism. Available: http://admin.taiwan.net.tw/law(30 May 2016).
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- Huang, S.Y., Chiu, A.A., and Wang, B.C. (2012). Applying Intellectual Capital on Financial Distress Prediction Model in Taiwan Information Technology and Electronic Industry.International Journal of Advancements in Computing Technology, 4, 270-280.
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- A Study on Coffee Product Categories Sold in Landscape Coffee Shops
Abstract Views :267 |
PDF Views:146
Authors
Han-Chen Huang
1,
Cheng-IHou
1
Affiliations
1 Department of Tourism and M.I.C.E., Chung Hua University, TW
1 Department of Tourism and M.I.C.E., Chung Hua University, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 9, No 3 (2017), Pagination: 71-78Abstract
Regarding delicacies, people are no longer satisfied with mere good taste, they also consider the overall feeling conveyed by the restaurants, including the decorations, the created atmosphere, and services, which all affect consumers' decisions whether dine. Nowadays, casual style is particularly the leading trend. Modern restaurants have innovative ideas in food, leisure, and consumption, which are different from traditional restaurants that only meet customers' needs for daily meals. Therefore, many featured restaurants are opened with unique styles to attract consumers. This study investigated the decision-making processes for coffee product categories sold in the landscape coffee shops. The landscape coffee shops in Taiwan all have unique featured services and functions to attract consumers. The quality of coffee products sold in the landscape coffee shops is one of the factors that consumers consider, and is the key to sustainable operation of coffee shops. As the preference of consumers varies, this study used analytic hierarchy process (AHP) to investigate the coffee tastes of most consumers, allowing landscape coffee shops to focus on the popular coffee product in order to achieve sustainable operation. Based on the results of literature review, expert interviews, and AHP, this study provides useful suggestions to landscape coffee shops.Keywords
Landscape Coffee Shops, Analytic Hierarchy Process, Coffee Beans.Full Text
References
- Saaty, T.L. (1980),The Analytic Hierarchy Process, New York: McGraw-Hill.
- Teng,J.Y. and Tzeng, G.H.,(1989) “The Analytic Hierarchy Process: Concepts, Techniques and Applications (I)”,Journal of the Chinese Statistical Association, Vol.27(6), pp.5-22.
- Teng, J.Y. and Tzeng, G.H.,(1989) “The Analytic Hierarchy Process: Concepts, Techniques and Applications (II)”, Journal of the Chinese Statistical Association, Vol.27(7), pp.1-20.
- Hou, C. I., Huang, H. C., Lo, C. Y., and Tsai, Y.H.,(2014)“A Study of Using AHP to Discuss Landscape Cafe Site Selection”,Advanced Management Journal, Vol.1, pp.1-7.
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- Hou, C. I., Huang, H. C., and Lo, C. Y., (2014)“Study on Decision Making to Construct Coffee Shop E-commerce Websites”,International Journal of Leisure Business Management, Vol.2, pp.12-19.
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- Applying Important-Performance Analysis to Home Stay Service Performance
Abstract Views :282 |
PDF Views:107
Authors
Affiliations
1 Department of Tourism and M.I.C.E., Chung Hua University, 30012 Hsinchu, TW
1 Department of Tourism and M.I.C.E., Chung Hua University, 30012 Hsinchu, TW
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 11, No 4 (2019), Pagination: 73-79Abstract
In 2019, Taiwan has more than 8,000 home stays, and competition is very intense. In addition to accommodation, catering, and other core services, home stay operators add many unique services to attract consumers, but not every service receives consumer’s recognition. Therefore, through literature review, field survey, interviews with the home stay operators, and consumer survey, this research analyzes service performance by paired-samples t test and Important-Performance Analysis, and the research results can be used as a reference for home stay operators to improve their operational performance, in order to make their servicesmeet the needs of consumers.Keywords
Home Stay, Core services, Service Performance, Important-Performance Analysis.Full Text
References
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