Publication Cover
Transportation Letters
The International Journal of Transportation Research
Volume 6, 2014 - Issue 2
583
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Applying data mining with a new model on customer relationship management systems: a case of airline industry in Taiwan

Pages 89-97 | Received 09 Apr 2013, Accepted 18 Jan 2014, Published online: 13 Feb 2014

References

  • Berry M. J. A. and Linoff G. S.. 2004. Data mining techniques: for marketing, sales, and customer relationship management, 2nd edn, New York, NY, John Wiley and Sons.
  • Bigné E., Hernández B., Ruiz C. and Andreu L.. 2010. How motivation, opportunity and ability can drive online airline ticket purchases, J. Air Transp. Manage., 16, (6), 346–349.
  • Breiman L., Friedman J. H., Olshen R. A. and Stone C. J.. 1984. Classification and regression trees, New York, NY, Chapman and Hall.
  • Brown M., Pope N. and Voges K.. 2003. Buying or browsing? An exploration of shopping orientations and online purchase intention, Eur. J. Mark., 37, (11), 1666–1684.
  • Bryman A. and Bell E.. 2007. Business research method, 2nd edn, Oxford, UK, Oxford University Press.
  • Chao C. M. and Yang C. T.. 2003. Applying data mining on prediction of customer value, Conf. of an Approach to Analyze and Implement Commercial Database, Soochow University, Taipei, Taiwan, 159–183.
  • Chen S. M. and Pon C. W.. 2003. The competition between on-line retail business and physical retailing store: for the example of young students' preferences, J. Archit. Plann., 4, (1), 1–22.
  • Cheng C. H. and Chen Y. S.. 2009. Classifying the segmentation of customer value via RFM model and RS Theory, Expert Syst. Appl., 36, (3), 4176–4184.
  • Chiang W. Y.. 2011. To mine association rules of customer values via a data mining procedure with improved model: an empirical case study, Expert Sys. Appl., 38, (3), 1716–1722.
  • Chiang W. Y.. 2013. Applying data mining on customer relationship management system for leisure coffee shop industry: a case study in Taiwan, WIREs Data Min. Knowl. Discovery, 3, (2), 129–139.
  • Dillion T. W. and Reif H. L.. 2004. Factors influencing consumers’ e–commerce commodity purchases, Inform. Technol., Learn., Perform. J., 22, (2), 1–12.
  • Goodman J.. 1992. Leveraging the customer database to your competitive advantage, Direct Market., 55, (8), 26–27.
  • Huang S. C., Chang E. C. and Wu H. H.. 2009. A case study of applying data mining techniques in an outfitter’s customer value analysis, Expert Syst. Appl., 36, (6), 5909–5915.
  • Hughes A. M.. 1994. Strategic database marketing, Chicago, IL, Probus Publishing.
  • Hsu T. H. and Lin L. Z.. 2003. Using fuzzy decision making to analyze the perceived risk of internet consumers, J. Bus. Adm., 58, 55–83.
  • Jupiter Media. 2006. Forecasts online retail spending will reach $144 billion in 2010, a CAGR of 12% from 2005, New York, NY: Jupiter Research.
  • Kotler P. and Keller K.. 2011. Marketing management, 14th edn, Upper Saddle River, NJ, Prentice-Hall.
  • Lee G. G. and Lin H. F.. 2006. Customer perceptions of e-service quality in online shopping, Int. J. Retail Distrib. Manage., 33, (2), 161–176.
  • Lin C. S. and Tang Y. Q.. 2006. Application of incremental mining and customer’s value analysis to collaborative music recommendations. J. Inform., Technol. Soc., 6, (1), 1–26.
  • Linoff G. S. and Berry M. J. A.. 2002. Mining the web: transforming customer data into customer value, New York, NY: John Wiley and Sons.
  • Lo A. S., Stalcup L. D. and Lee A.. 2010. Customer relationship management for hotels in Hong Kong, Int. J. Contemp. Hospitality Manage., 22, (2), 139–159.
  • Miglautsch J. R.. 2000. Thoughts on RFM scoring, J. Database Market., 8, (1), 2–7.
  • Miglautsch J. R.. 2002. Application of RFM principles: what to do with 1-1-1 customers? J. Database Market., 9, (4), 319–324.
  • Min H., Min H. and Emam A.. 2002. A data mining approach to developing the profiles of hotel customers, Int. J. Contemp. Hospitality Manage., 14, (6), 274–285.
  • Quinlan J. R.. 1986. Induction of decision trees, Machine Learning, 1, 81–106.
  • Quinlan J. R.. 1993. C4·5: programs for machine learning, New York, NY, Morgan Kaufmann Publishers.
  • Saaty T. L.. 1971. How to make a decision: the analytic hierarchy process, Eur. J. Oper. Res., 40, 9–10.
  • Shih Y. Y. and Liu C. Y.. 2003. A method for customer lifetime value ranking-combining the analytic hierarchy process and clustering analysis, J. Database Market. Customer Strategy Manage., 11, (2), 159–172.
  • Su B. C., Lin S. J. and Lee C. C.. 2006. Using RFM, Bayesian stochastic model and ARIMA for customer state forecasting, J. e-Bus., 8, (2), 193–218.
  • Tsiptsis K. and Chorianopoulos A.. 2009. Data mining techniques in CRM: inside customer segmentation, New York, John Wiley and Sons.
  • Wang M. H. and Yeh Q. J.. 2000. The relationships among consumer attributes, users' satisfactions on web and WWW purchase intention, J. Bus. Adm., 48, 121–137.
  • Weiwen X., Liang C., Zhiyong Z. and Zhuqiang Q.. 2008. RFM value and grey relation based customer segmentation model in the logistics market segmentation, in Proceedings of the 5th International Conference on Computer Science and Software Engineering, Wuhan, China. Publisher: IEEE Computer Society, 1298–1301.
  • Wong J. Y. and Chung P. H.. 2007. Managing valuable Taiwanese airline passengers using knowledge discovery in database techniques, J. Air Transp. Manage., 13, (6), 362–370.
  • Xu Y. and Paulins V. A.. 2005. College students’ attitudes toward shopping online for apparel products: Exploring a rural versus urban campus, J. Fashion Market. Manage., 9, (4), 420–433.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.