Record Details

A NEURAL NETWORK AND CLUSTER ANALYTIC APPROACH IN TOURISM RESEARCH IN THE UNITED STATES

International Journal of Management and Social Sciences

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Field Value
 
Title A NEURAL NETWORK AND CLUSTER ANALYTIC APPROACH IN TOURISM RESEARCH IN THE UNITED STATES
 
Creator Dotson, Michael J.; Professor, Department of Marketing, John A. Walker College of Business, Appalachian State University, Boone, NC 28608, USA.
Dave, Dinesh S.; Director, Supply Chain Management and Professor, Department of Computer Information Systems, John A. Walker College of Business, Appalachian State University, Boone, NC 28608, USA.
Clark, J. Dana; Director, Hospitality & Tourism Management and Professor, Department of Management, John A. Walker College of Business, Appalachian State University, Boone, NC 28608, USA.
Aggarwal, Ajay K.; Associate Professor of Management,
School of Business, Henderson State University, 1100 Henderson Street, Arkadelphia, AR 71999, USA.
 
Subject Tourism Research
Neural network, Cluster analysis, Tourism research, Cluster analytic approach, Tourism industry, Tourism.
Neural network, Cluster analysis
 
Description According to the U. S. Department of Commerce, total current dollar spending related to tourism in the United States in the third quarter of 2011 was $1.2 trillion. Given the importance of this sector of the economy, the authors present a unique way of analyzing and interpreting tourist data using neural networks in conjunction with cluster analysis. The approach is illustrated using a 97 variable survey having 1,271 respondents, with total cost of trip as the desired output. Cluster analysis divides the data into three clusters and identifies their key attributes. Neural networks help analyze the relationship between the various input variables and the total cost of trip for each cluster and perform sensitivity and contribution analysis for each variable.
 
Publisher SPEAK Foundation
 
Contributor —
 
Date 2014-07-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Neural network, Cluster analysis
 
Format application/pdf
 
Identifier http://journals.foundationspeak.com/index.php/ijmss/article/view/170
 
Source INTERNATIONAL JOURNAL OF MANAGEMENT AND SOCIAL SCIENCES (IJMSS); Vol 4, No 1 (2014): IJMSS - July 4(1) 2014; 1-12
2349-9761
2249-0191
 
Language eng
 
Relation http://journals.foundationspeak.com/index.php/ijmss/article/view/170/122
 
Coverage United States
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Given the importance of tourism sector, the authors present a unique way of analyzing and interpreting tourist data using neural networks in conjunction with cluster analysis. The approach is illustrated using a 97 variable survey having 1,27.
 
Rights Copyright (c) 2018 INTERNATIONAL JOURNAL OF MANAGEMENT AND SOCIAL SCIENCES (IJMSS)
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