Business Confidence and International Tourism Demand: Evidence from a Global Panel of Experts

Authors

  • Valeria Croce

Keywords:

current and future development of the tourism sector

Abstract

Abstract not found

How to Cite

Business Confidence and International Tourism Demand: Evidence from a Global Panel of Experts. (2017). Global Journal of Management and Business Research, 16(F1), 29-42. https://journalofbusiness.org/index.php/GJMBR/article/view/2158

References

M Akın (2015) A novel approach to model selection in tourism demand modeling. 48, 64-72.

J Armstrong, R Fildes (2006) Making progress in forecasting. 22(3), 433-441.

George Athanasopoulos, Rob Hyndman, Haiyan Song, Doris Wu (2011) The tourism forecasting competition. 27(3), 822-844.

Guido Candela, Paolo Figini (2012) The Economics of Tourism Destinations. 73-130.

F Caniato, M Kalchschmidt, S Ronchi (2011) Integrating quantitative and qualitative forecasting approaches: organizational learning in an action research case. 62(3), 413-424.

V Croce (2016) Can tourism confidence index improve tourism demand forecasts?. 2(1), 6-21.

V Croce, K Wöber, J Kester (2015) Expert identification and calibration for collective forecasting tasks.

Francis Diebold, Roberto Mariano (1995) Comparing Predictive Accuracy.

Robert Fildes, Paul Goodwin, Michael Lawrence (2006) The design features of forecasting support systems and their effectiveness. 42(1), 351-361.

Robert Fildes, Paul Goodwin, Michael Lawrence, Konstantinos Nikolopoulos (2009) Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning. 25(1), 3-23.

D Frechtling (2001) Forecasting Tourism Demand: Methods and Strategies.

C Goh, R Law (2011) The methodological progress of tourism demand forecasting: a review of related literature. 28(3), 296-317.

Yixuan Peng, Gerhard Bruyns, Darren Nel (2004) Chinese megablock urbanism.

Pilar González, Paz Moral (1995) An analysis of the international tourism demand in Spain. 11(2), 233-251.

P Goodwin (2002) Integrating management judgment and statistical methods to improve short-term forecasts. 30(2), 127-135.

T Gordon, O Helmer (1964) Report on a Long-Range Forecasting Study.

C Granger (1969) Investigating causal relations by econometric models and cross-spectral methods. 424-438.

Andrea Guizzardi, Annalisa Stacchini (2015) Real-time forecasting regional tourism with business sentiment surveys. 47, 213-223.

Uma Gupta, Robert Clarke (1996) Theory and applications of the Delphi technique: A bibliography (1975-1994). 53(2), 185-211.

A Harvey (1990) Forecasting, structural time series models and the Kalman filter.

O Helmer, N Rescher (1959) On the epistemology of the inexact sciences. 6(1), 25-52.

K Holden, D Peel, J Thompson (1990) Economic forecasting: an introduction.

J Kester, V Croce (2011) Tourism development in advanced and emerging economies: What does the Travel & Tourism Competitiveness Index tell us.

N Kulendran, Maxwell King (1997) Forecasting international quarterly tourist flows using error-correction and time-series models. 13(3), 319-327.

Nada Kulendran, Stephen Witt (2001) Cointegration versus least squares regression. 28(2), 291-311.

Gang Li, Haiyan Song, Stephen Witt (2005) Recent Developments in Econometric Modeling and Forecasting. 44(1), 82-99.

R Likert (1932) A technique for the measurement of attitudes. 22(140), 55.

S Makridakis, N Taleb (2009) Decision making and planning under low levels of predictability. 25(4), 716-733.

S Makridakis, S Wheelwright, R Hyndman (1998) Forecasting: Methods and Applications.

T Mihalic, J Kester, L Dwyer (2013) Impacts of the global financial crisis on African tourism: a Tourism Confidence Index analysis. 104-122.

Nenad Njegovan (2005) A leading indicator approach to predicting short-term shifts in demand for business travel by air to and from the UK. 24(6), 421-432.

B Peng, H Song, G Crouch (2014) A metaanalysis of international tourism demand forecasting and implications for practice. 45, 181-193.

G Rowe, G Wright (1999) The Delphi technique as a forecasting tool: issues and analysis. 15(4), 353-375.

G Rowe, G Wright (2001) Expert opinions in forecasting: Role of the Delphi technique.

T Segaran (2007) Programming Collective Intelligence.

Haiyan Song, Gang Li (2008) Tourism demand modelling and forecasting-A review of recent research. 29(2), 203-220.

J Swarbrooke, S Horner (2001) Business travel and tourism.

K Taylor, R Mcnabb (2007) Business Cycles and the Role of Confidence: Evidence for Europe*. 69(2), 185-208.

Lindsay Turner, Stephen Witt (2001) Factors Influencing Demand for International Tourism: Tourism Demand Analysis Using Structural Equation Modelling, Revisited. 7(1), 21-38.

Unwto (2016) UNWTO World Tourism Barometer. UNWTO. Madrid, UNWTO. 14.

N Vanhove (2011) The economics of tourism destinations.

P Williams, C Webb (1994) The Delphi technique: a methodological discussion. 19(1), 180-186.

Stephen Witt, Christine Witt (1995) Forecasting tourism demand: A review of empirical research. 11(3), 447-475.

Justin Wolfers, Eric Zitzewitz (2004) Prediction Markets.

F Woundenberg (1991) An Evaluation of Delphi. 40, 131-150.

Ghialy Yap, David Allen (2011) Investigating other leading indicators influencing Australian domestic tourism demand. 81(7), 1365-1374.

Business Confidence and International Tourism Demand: Evidence from a Global Panel of Experts

Published

2017-02-04

How to Cite

Business Confidence and International Tourism Demand: Evidence from a Global Panel of Experts. (2017). Global Journal of Management and Business Research, 16(F1), 29-42. https://journalofbusiness.org/index.php/GJMBR/article/view/2158