Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Segmenting Suppliers of e-commerce Transaction Brokers Case Study: Hotel Rooms Provider

1Veronica S. Moertini, 2Verliyantina, 3Chastine N. Amelinda and 4Irene Sukanto
1Department of Informatics, Parahyangan Catholic University,
2Department of R&D, KlikHotel.com Bandung, Indonesia
Research Journal of Applied Sciences, Engineering and Technology  2016  5:528-536
http://dx.doi.org/10.19026/rjaset.12.2680  |  © The Author(s) 2016
Received: July ‎29, ‎2015  |  Accepted: September ‎05, ‎2015  |  Published: March 05, 2016

Abstract

The aim of this study is to develop model for segmenting suppliers suitable for transaction broker e-commerce systems, specifically hotel room providers. Transaction brokers act as market intermediaries that have two types of clients, which are customers and suppliers. Hence, they must employ both electronic Customer Relationship Management (e-CRM) and electronic Supplier Relationship Management (e-SRM) such that the firms can build strong and beneficial relationships with both parties. One of the most important e-SRM functions is segmenting suppliers, where the results are used to design unique services for each segment to strengthen relationships. Our research findings are: (1) Variables suitable for segmenting suppliers; (2) data warehouse design needed for the segmentation; (3) techniques for segmenting suppliers based on their value and churn tendency. We have conducted experiments using the case study data obtained from Klikhotel.com and the results indicate that our proposed techniques have successfully segmented suppliers.

Keywords:

Churn prediction, clustering suppliers, electronic supplier relationship management, supplier segmentation,


References

  1. Amelinda, C.N., 2014. Predicting the Level of Supplier Churn using Data Regression and Data Warehouse. Final Project, Informatics Department, Parahyangan Catholic University.
  2. Bing, L., 2006. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer, Berlin Heidelberg.
  3. Birant, D., 2011. Data Mining Using RFM Analysis. INTECH Open Access Publisher.
    CrossRef    
  4. Chenoweth, M.E., N.Y. Moore, A.G. Cox, J.D. Mele and J.M. Sollinger, 2012. Best Practices in Supplier Relationship Management and Their Early Implementation in the Air Force Materiel Command. Prepared for the United States Air Force, Project Air Force, RAND Corporation.
  5. Decideware, 2014. How to Build More Successful Strategic Supplier Relationships, Incorporating Performance and Value Metrics in Supplier Scorecards. Retrieved from: www.decideware.com, (Accessed on: April 3, 2014).
    Direct Link
  6. Department of Industry, Tourism and Resources, Howard Partners, April 2007. Study of the Role of Intermediaries in Support of Innovation.
  7. Golfarelli, M. and S. Rizzi, 2009. Data Warehouse Design: Modern Principles and Methodologies. McGraw Hill, New York.
  8. Ibrahim, N., V.S. Moertini and Verliyantina, 2015. Supplier relationship management model for SME’s e-commerce transaction broker case study: Hotel rooms provider. J. Theor. Appl. Inform. Technol., 71(1): 61-70.
  9. Irene, 2014. Segmenting Potential Suppliers using RFM and k-Means Algorithms. Final Project, Informatics Department, Parahyangan Catholic University.
  10. Kaushik, A., 2010. Web Analytics 2.0: The Art of Online Accountability & Science of Customer Centricity. Wiley, Indianapolis, IN.
  11. Kousalya, R. and V. Saravanan, 2014. Personalizing user directories through navigational behavior of interesting groups and achieving mining tasks. J. Theor. Appl. Inform. Technol., 67(2): 327-333.
  12. Lang, A., D. Paravicini, Y. Pigneur and E. Revaz, 2002. From Customer Relationship Management (CRM) to Supplier Relationship Management (SRM). HEC Lausanne.
  13. Laudon, K.C. and C.G. Traver, 2010. E-commerce Business Technology Society. 6th Edn., Pearson Education, Inc., England.
  14. Moertini, V.S., N. Ibrahim and Verliyantina, 2014. E-CRM development method for e-commerce system owned by small medium enterprises. Proceeding of the 2nd International Conference on Technology, Informatics, Management, Engineering and Environment (TIME-E, 2014). Bandung, Indonesia, pp: 46-51.
  15. Moertini, V.S., C.N. Verliyantina, Amelinda and I. Sukanto, 2015a. Suppliers segmentation technique for e-commerce transaction brokers, case study: Hotel rooms provider. Proceeding of the International Congress on Engineering and Information (ICEAI, 2015). Kyoto, Japan, May 07-09.
  16. Moertini, V.S., N. Ibrahim and Lionov, 2015b. Efficient techniques for predicting suppliers churn tendency in e-commerce based on website access data. J. Theor. Appl. Inform. Technol., 74(3): 300-309.
  17. Rezaei, J. and R. Ortt, 2012. A multi-variable approach to supplier segmentation. Int. J. Prod. Res., 50(16): 4593-4611.
    : CrossRef    
  18. Teoh, A.P., M. Rajendran and E.K. Lim, 2014. Predictors and outcome of business intelligence system implementation: A perspective of manufacturers in Malaysia. Res. J. Appl. Sci. Eng. Technol., 8(18): 1980-1993.
  19. Tsiptsis, K. and A. Chorianopoulos, 2009. Data Mining Techniques in CRM: Inside Customer Segmentation. John Wiley and Sons, Ltd., Pub., United Kingdom.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved