An Innovation of Travel Information Gathering Framework
Application of Information Technology (IT) has
revolutionized the functioning of business all over the world. Its
impact has been felt mostly among the information of dependent
industries. Tourism is one of such industry. The conceptual
framework in this study represents an innovation of travel
information searching system on mobile devices which is used as
tools to deliver travel information (such as hotels, restaurants, tourist
attractions and souvenir shops) for each user by travelers
segmentation based on data mining technique to segment the tourists-
behavior patterns then match them with tourism products and
services. This system innovation is designed to be a knowledge
incremental learning. It is a marketing strategy to support business to
respond traveler-s demand effectively.
[1] Burke, R. R. (1997). Do You See What I See? The Future of Virtual
Shopping. Journal of the Academy of Marketing Science, 352-360.
[2] Peterson, R. A., Balasubramian, S., & Bronenberg, B. J. (1997).
Exploring the Implications of the Internet for Consumer Marketing.
Journal of the Academy of Marketing Science, 329-346.
[3] Hyde, K. F. (2000) Chapter10: A hedonic perspective on independent
vacation planning, decision-making and behavior. Crouch, G. I.;
Mazanec, J. A.; Oppermann, M.; Sakai, M. Y.Consumer psychology of
tourism, hospitality and leisure. (pp 177-191).UK: CABI.
[4] Anon, (1985). "AMA Board Approves New Marketing Definition,"
Marketing Educator, Spring, p. 1.
[5] Kotler, P., Bowen, J. and Makens, J. (1999).Marketing for Hospitality
and Tourism, 2nd ed., Prentice Hall, USA
[6] Smith, Valene., (1977). Hosts and Guests: The Anthropology of Tourism,
University of Pennsylvania Press, Philadelphia.
[7] King, Brian and Hyde, G., (1989). Tourism Marketing in Australia,
Hospitality Press, Melbourne.
[8] Buhalis, D. (2002). eTourism: Information technologies for strategic
tourism management. Financial Times Prentice Hall.
[9] Poon, A. (1993). Tourism, Technology and Competitive Strategies. New
York: Cabi Publising.
[10] Michael, J.A., and Linoff, G. (2011). Data Mining Techniques for
Marketing, Sales, and Customer Relationship Management. Wiley
Publishing.
[11] Cabena, P., Hadjinian, Stadler, R., Verhees, and Zanasi, A. (1997).
Discovering Data Mining: From Concept to Implementation. Prentice
Hall.
[12] Edelstein H. Data mining: exploiting the hidden trends in your data.
DB2 Online Magazine. http://www.db2mag.com/9701edel.htm.
[13] Frawley, W.J., Piatetsky-Shapiro, G., and Matheus, C.K. (1992).
Knowledge Discovery in Database: An Overview. AI Magazine: 57-70.
[14] Wirth and Hipp, R. (2000). Towards a Standard Process Model for Data
Mining. In Proceeding of the 4th International Conference on the
Practical Applications of Knowledge Discovery and Data Mining, Pages
29-39, Nanchester, UK
[15] Hoontrakul, P. and Sahadev, S. (2005). Application of Data Mining
Techniques in On-Line Travel Industry: A case Study from Thailand.
Website. www.pongsak.hoontrakul.com
[16] Danubianu, M. and Hapenciuc, V. (2008) Improving Customer
Relationship Management In hotel industry by Data Mining Techniques,
Proceeding of "Competitiveness and Stability in the Knowledge-Based
Economy", Vol: CD, 30-31 Mai, 2008, Craiova, Romania, ISSN/ISBN:
978-606-510-162-3, Page: 2444-2452
[17] Miles, I. (2001). Service Innovation: A Reconfiguration of Innovation
Studies. University of Manchester.
[18] Dorf, R. C. and Byers, T. H. (2008). Technology Ventures: From Idea to
Enterprise. New York: McGraw-Hill Companies Inc.
[19] Hjalager, A. M. (2002). Hospitality and Travel Marketing. The United
States: Delmar Thomson Learning.
[20] Schumpeter, J. A. (1934). The Theory of Economic Development: An
Inquiry into Profits, Capital, Credit, Interest and the Business Cycle.
Cambridge: Harvard University Press.
[21] Amabile, T.M., Conti, R., Coon, H., Lazenby, J. and Herron, M. (1996).
Assessing the Work Environment for Creativity. Academy of
Management Journal, 39: 1154-84.
[22] Rogers, E. M. (1983). Diffusion of Innovation. New York: Free Press.
[23] Hall, C. M. (2009). Innovation and Tourism Policy in Australia and New
Zealand: Never the Twain Shall Meet? Journal of Policy Research in
Tourism, Leisure and Events, 2-18.
[24] Marcussen, C. H. (2009). Trends in European Internet Distribution of
Travel and Tourism Service. Called on 31 August 2011 from Research
Centre of Bornholm Web Site:
http://www.cet.dk/UK/Staff/chm/P_CHM.htm
[25] Weiermair, H. and Klein, S. (2005). ICT-Enabled Innovation in Travel
and Tourism. Innovation and Product Development in Tourism, 71-84.
[26] Buhalis, D. and Law, R. (2008). Progress in Infomation Technoogy and
Tourism Management: 20 Years on and 10 Years after the Internet-The
State of eTourism Research. Tourism Management , 609-623.
[1] Burke, R. R. (1997). Do You See What I See? The Future of Virtual
Shopping. Journal of the Academy of Marketing Science, 352-360.
[2] Peterson, R. A., Balasubramian, S., & Bronenberg, B. J. (1997).
Exploring the Implications of the Internet for Consumer Marketing.
Journal of the Academy of Marketing Science, 329-346.
[3] Hyde, K. F. (2000) Chapter10: A hedonic perspective on independent
vacation planning, decision-making and behavior. Crouch, G. I.;
Mazanec, J. A.; Oppermann, M.; Sakai, M. Y.Consumer psychology of
tourism, hospitality and leisure. (pp 177-191).UK: CABI.
[4] Anon, (1985). "AMA Board Approves New Marketing Definition,"
Marketing Educator, Spring, p. 1.
[5] Kotler, P., Bowen, J. and Makens, J. (1999).Marketing for Hospitality
and Tourism, 2nd ed., Prentice Hall, USA
[6] Smith, Valene., (1977). Hosts and Guests: The Anthropology of Tourism,
University of Pennsylvania Press, Philadelphia.
[7] King, Brian and Hyde, G., (1989). Tourism Marketing in Australia,
Hospitality Press, Melbourne.
[8] Buhalis, D. (2002). eTourism: Information technologies for strategic
tourism management. Financial Times Prentice Hall.
[9] Poon, A. (1993). Tourism, Technology and Competitive Strategies. New
York: Cabi Publising.
[10] Michael, J.A., and Linoff, G. (2011). Data Mining Techniques for
Marketing, Sales, and Customer Relationship Management. Wiley
Publishing.
[11] Cabena, P., Hadjinian, Stadler, R., Verhees, and Zanasi, A. (1997).
Discovering Data Mining: From Concept to Implementation. Prentice
Hall.
[12] Edelstein H. Data mining: exploiting the hidden trends in your data.
DB2 Online Magazine. http://www.db2mag.com/9701edel.htm.
[13] Frawley, W.J., Piatetsky-Shapiro, G., and Matheus, C.K. (1992).
Knowledge Discovery in Database: An Overview. AI Magazine: 57-70.
[14] Wirth and Hipp, R. (2000). Towards a Standard Process Model for Data
Mining. In Proceeding of the 4th International Conference on the
Practical Applications of Knowledge Discovery and Data Mining, Pages
29-39, Nanchester, UK
[15] Hoontrakul, P. and Sahadev, S. (2005). Application of Data Mining
Techniques in On-Line Travel Industry: A case Study from Thailand.
Website. www.pongsak.hoontrakul.com
[16] Danubianu, M. and Hapenciuc, V. (2008) Improving Customer
Relationship Management In hotel industry by Data Mining Techniques,
Proceeding of "Competitiveness and Stability in the Knowledge-Based
Economy", Vol: CD, 30-31 Mai, 2008, Craiova, Romania, ISSN/ISBN:
978-606-510-162-3, Page: 2444-2452
[17] Miles, I. (2001). Service Innovation: A Reconfiguration of Innovation
Studies. University of Manchester.
[18] Dorf, R. C. and Byers, T. H. (2008). Technology Ventures: From Idea to
Enterprise. New York: McGraw-Hill Companies Inc.
[19] Hjalager, A. M. (2002). Hospitality and Travel Marketing. The United
States: Delmar Thomson Learning.
[20] Schumpeter, J. A. (1934). The Theory of Economic Development: An
Inquiry into Profits, Capital, Credit, Interest and the Business Cycle.
Cambridge: Harvard University Press.
[21] Amabile, T.M., Conti, R., Coon, H., Lazenby, J. and Herron, M. (1996).
Assessing the Work Environment for Creativity. Academy of
Management Journal, 39: 1154-84.
[22] Rogers, E. M. (1983). Diffusion of Innovation. New York: Free Press.
[23] Hall, C. M. (2009). Innovation and Tourism Policy in Australia and New
Zealand: Never the Twain Shall Meet? Journal of Policy Research in
Tourism, Leisure and Events, 2-18.
[24] Marcussen, C. H. (2009). Trends in European Internet Distribution of
Travel and Tourism Service. Called on 31 August 2011 from Research
Centre of Bornholm Web Site:
http://www.cet.dk/UK/Staff/chm/P_CHM.htm
[25] Weiermair, H. and Klein, S. (2005). ICT-Enabled Innovation in Travel
and Tourism. Innovation and Product Development in Tourism, 71-84.
[26] Buhalis, D. and Law, R. (2008). Progress in Infomation Technoogy and
Tourism Management: 20 Years on and 10 Years after the Internet-The
State of eTourism Research. Tourism Management , 609-623.
@article{"International Journal of Information, Control and Computer Sciences:59715", author = "Pairaya J. and Buddhagarn R. and Sukree S. and Punthumadee K.", title = "An Innovation of Travel Information Gathering Framework", abstract = "Application of Information Technology (IT) has
revolutionized the functioning of business all over the world. Its
impact has been felt mostly among the information of dependent
industries. Tourism is one of such industry. The conceptual
framework in this study represents an innovation of travel
information searching system on mobile devices which is used as
tools to deliver travel information (such as hotels, restaurants, tourist
attractions and souvenir shops) for each user by travelers
segmentation based on data mining technique to segment the tourists-
behavior patterns then match them with tourism products and
services. This system innovation is designed to be a knowledge
incremental learning. It is a marketing strategy to support business to
respond traveler-s demand effectively.", keywords = "Tourism, Innovation, Information Searching, Data
Mining.", volume = "6", number = "11", pages = "1418-6", }
