In an increasingly competitive industry, tourism managers are faced with the necessity of estimating future values of demand in the short term despite the limitations of scarcity, volatility and uncertainty. A convenient and flexible approach such as judgemental forecasting holds promise in addressing the major issues in the field of tourism demand forecasting. This paper presents an innovative approach, which uses the opportunities offered by decision support systems to tackle the main issues associated with judgemental forecasting. A forecasting system that supports collaborative short-term forecasting tasks among tourism managers is offered as a case example.
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Virginia Polytech Inst & State Univ, Dept Hosp & Tourism Management, Blacksburg, VA 24061 USAVirginia Polytech Inst & State Univ, Dept Hosp & Tourism Management, Blacksburg, VA 24061 USA
机构:
Monash Univ, Dept Econometr & Business Stat, Clayton, Vic 3800, Australia
Monash Univ, Tourism Res Unit, Clayton, Vic 3800, AustraliaMonash Univ, Dept Econometr & Business Stat, Clayton, Vic 3800, Australia
Athanasopoulos, George
Hyndman, Rob J.
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Monash Univ, Dept Econometr & Business Stat, Clayton, Vic 3800, AustraliaMonash Univ, Dept Econometr & Business Stat, Clayton, Vic 3800, Australia
Hyndman, Rob J.
Song, Haiyan
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Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Hong Kong, Hong Kong, Peoples R ChinaMonash Univ, Dept Econometr & Business Stat, Clayton, Vic 3800, Australia
Song, Haiyan
Wu, Doris C.
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Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Hong Kong, Hong Kong, Peoples R ChinaMonash Univ, Dept Econometr & Business Stat, Clayton, Vic 3800, Australia
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Department of Mechanical Engineering, Delhi Technological University, DelhiDepartment of Mechanical Engineering, Delhi Technological University, Delhi
Mishra R.S.
Kumar R.
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Department of Mechanical Engineering, Delhi Technological University, DelhiDepartment of Mechanical Engineering, Delhi Technological University, Delhi
Kumar R.
Dhingra S.
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Department of Mechanical Engineering, Delhi Technological University, DelhiDepartment of Mechanical Engineering, Delhi Technological University, Delhi
Dhingra S.
Sengupta S.
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Department of Mechanical Engineering, Delhi Technological University, DelhiDepartment of Mechanical Engineering, Delhi Technological University, Delhi
Sengupta S.
Sharma T.
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Department of Mechanical Engineering, Delhi Technological University, DelhiDepartment of Mechanical Engineering, Delhi Technological University, Delhi
Sharma T.
Gautam G.D.
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Department of Mechanical Engineering, Mangalmay Institute of Engineering & Technology, Uttar PradeshDepartment of Mechanical Engineering, Delhi Technological University, Delhi
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Sun Yat Sen Univ, Business Sch, Tourism Forecasting, Guangzhou 510275, Peoples R ChinaSun Yat Sen Univ, Business Sch, Tourism Forecasting, Guangzhou 510275, Peoples R China
Wu, Doris Chenguang
Cao, Zheng
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Aston Univ, Aston Business Sch, Birmingham, W Midlands, EnglandSun Yat Sen Univ, Business Sch, Tourism Forecasting, Guangzhou 510275, Peoples R China
Cao, Zheng
Wen, Long
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Univ Nottingham, Sch Econ, Ningbo, Peoples R ChinaSun Yat Sen Univ, Business Sch, Tourism Forecasting, Guangzhou 510275, Peoples R China
Wen, Long
Song, Haiyan
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Hong Kong Polytech Univ, Int Tourism, Hospitality & Tourism Res Ctr, Sch Hotel & Tourism Management, Hong Kong, Peoples R ChinaSun Yat Sen Univ, Business Sch, Tourism Forecasting, Guangzhou 510275, Peoples R China