Integrating a key customer-oriented strategy into the B2C e-commerce service

• Autorzy: Suchacka, G. , Borzemski, L.
• Języki publikacji: EN

Abstrakty

EN

The paper brings up the problem of broadening customer relationship management (CRM) in an e-commerce company to an automated mechanism of request service in a Web server system hosting a Business-to-Consumer (B2C) Web site. We propose applying RecencyFrequency-Monetary value (RFM) analysis to automatically compute customer values in a Web store, and using these values in a new admission control and scheduling algorithm for a Web server system. The proposed method and algorithm are discussed, and simulation results of its efficacy compared to the First-In-First-Out (FIFO) scheduling are presented.

Słowa kluczowe

PL

handel elektroniczny; kontrola; klient; QoS; jakość usług

EN

customer value; e-commerce; web server; admission control; scheduling; QoS; quality of service

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2010
• Tom: Vol. 1, No. 4
• Strony: 67-76
• Opis fizyczny: Bibliogr. 26 poz., rys., wykr.

Twórcy

autor

Suchacka, G.

autor

Borzemski, L.

• Opole University of Technology, Institute of Automatic Control and Computer Science, Sosnkowskiego 31, 45-272 Opole, Poland, phone: [phone],

Bibliografia

• [1] Reichheld F.F., Schefter P., “E-Loyalty: Your Secret Weapon on the Web”, Harvard Business Review, 78, 4, 105-113, July - August 2000.
• [2] Kim S.-Y., Jung T.-S., Suh E.-H., Hwang H.-S., “Customer Segmentation and Strategy Development Based on Customer Lifetime Value: A Case Study”, Expert Syst. Appl., 31, 1, 101-107, July 2006.
• [3] Bauer H.H., Hammerschmidt M., Braehler M., “The Customer Lifetime Value Concept and its Contribu tion to Corporate Valuation”, Yearbook of Marketing and Consumer Research, 1, 2003.
• [4] Bazarnik J., „Szacowanie wartości klienta”, ZN AE w Krakowie, 694, Kraków, 2006.
• [5] Hughes A.M., “Making Your Database Pay Off Using Recency, Frequency and Monetary Analysis”, Technical Report, Database Marketing Institute, January 2001.
• [6] Miglautsch J.R., “Thoughts on RFM Scoring”, The Journal of Database Marketing, 8, 1, 67-72, August 2000.
• [7] Ferguson R., “Using Loyalty Analytics to Grow from Data Infancy”, Colloquy, July 2003.
• [8] Bhatti N., Bouch A., Kuchinsky A., “Integrating User-Perceived Quality into Web Server Design”, Computer Networks, 33, 1-6, 1-16, June 2000.
• [9] Silverstein M., Stanger P., and Abdelmessih N., “Winning the Online Consumer 2.0. Converting Traffic into Profitable Relationship”, A report by The Boston Consulting Group, February 2001.
• [10] “The Need for Speed II”, Zona Market Bulletin, 5, April 2001.
• [11] Wang F., Head M., “How Can the Web Help Build Customer Relationships? An Empirical Study on Etailing”, Information and Management, 44, 2, 115-129, March 2007.
• [12] Yoo B., Donthu N., “Developing a Scale to Measure the Perceived Quality of an Internet Shopping Site (SITEQUAL)”, Quarterly Journal of Electronic Commerce, 2, 1, 31-47, 2001.
• [13] Carlstr¨om J., Rom R., “Application-aware Admission Control and Scheduling in Web Servers”, IEEE INFOCOM, 2, 506-515, June 2002.
• [14] Chen H., Mohapatra P., “Overload Control in QoSaware Web Servers”, Computer Networks, 42, 1, 119-133, May 2003.
• [15] Kihl M., Widell N., “Admission Control Schemes Guaranteeing Customer QoS in Commercial Web Sites”, IFIP NET-CON, 235, 305-316, 2002.
• [16] Yue C., Wang H., “Profit-aware Admission Control for Overload Protection in E-commerce Web Sites”, IEEE IWQoS’07, 188-193, June 2007.
• [17] Cherkasova L., “Scheduling Strategy to Improve Response Time for Web Applications”, LNCS, Springer-Verlag, 1401, 305-314, 1998.
• [18] Schroeder B., Harchol-Balter M., “Web Servers under Overload: How Scheduling Can Help”, ACM TOIT, 6, 1, 20-52, February 2006.
• [19] Menasc´e D.A., Almeida V.A.F., Fonseca R., Mendes M.A., “Business-Oriented Resource Management Policies for E-Commerce Servers”, Perform. Eval., 42, 2-3, 223-239, September 2000.
• [20] Shaaban Y.A., Hillston J., “Cost-based Admission Control for Internet Commerce QoS Enhancement”, Electron. Commerce. Res. Appl., 8, 142-159, 2009.
• [21] Singhmar N., Mathur V., Apte V., Manjunath D., “A Combined LIFO-Priority Scheme for Overload Control of E-commerce Web Servers”, IISW’04, Lisbon, December 2004.
• [22] Totok A., Karamcheti V., “Improving Performance of Internet Services Through Reward-Driven Request Prioritization”, 14th IEEE IWQoS, 60-71, June 2006.
• [23] Zhou X., Wei J., Xu C.-Z., “Resource Allocation for Session-Based Two-Dimensional Service Differentiation on e-Commerce Servers”, IEEE Trans. Parallel Distrib. Syst., 17, 8, 838-850, August 2006.
• [24] Borzemski L., Suchacka G., “Discovering and Usage of Customer Knowledge in QoS Mechanism for B2C Web Server Systems”, LNAI, Springer, Heidelberg, 6277, 505-514, 2010.
• [25] Borzemski L., Suchacka G., “Business-Oriented Admission Control and Request Scheduling for ECommerce Websites”, Cybernetics and Systems, 41, 8, 592–609, November 2010.
• [26] CSIM19, Development Toolkit for Simulation and Modeling, http://www.mesquite.com.