Enabling individualized recommendations and dynamic pricing of value-added services through willingness-to-pay data

Electronic Markets

Volumn 20, Issue 2, 2010, Pages 131-146

  Backhaus, Klaus ^a   Becker, Jörg ^a   Beverungen, Daniel ^a   Frohs, Margarethe ^a   Müller, Oliver ^a   Weddeling, Matthias ^a   Knackstedt, Ralf ^a   Steiner, Michael ^a  

^a UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

Collaborative filtering; Design science; Dynamic pricing; JEL M31 Marketing; Service science; Willingness to pay

Indexed keywords

EID: 77956720983     PISSN: 10196781     EISSN: 14228890     Source Type: Journal    
DOI: 10.1007/s12525-010-0032-0     Document Type: Article

References (57)

1. Addelman, S. (1962). Orthogonal main-effect plans for asymmetrical factorial experiments. Technometrics, 4(2), 21-46.
2. Adomavicius, G.,&Tuzhilin, A. (2005). Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734-749.
3. Alderson, W. (1957). Marketing behavior and executive action: A functionalist approach to marketing theory. Homewood: Richard D. Irvin.
4. Ansari, A., Essegaier, R.,&Kohli, R. (2000). Internet recommendation systems. Journal of Marketing Research, 37(3), 363-375.
5. Balabanovic, M.,&Shoham, Y. (1997). Fab: content-based, collaborative recommendation. Communications of the Association for Computing Machinery, 40(3), 66-72.
6. Becker, J., Beverungen, D., Knackstedt, R.,&Müller, O. (2009). Model-based decision support for the customer-specific configuration of value bundles. Enterprise Modeling and Information Systems Architectures, 4(1), 26-38.
7. Bergen, M., Ritson, M., Dutta, S., Levy, D.,&Zbaracki, M. (2003). Shattering the myth of costless price changes. European Journal of Management, 21(6), 663-669.
8. Bichler, M., Kalagnanam, J., Katircioglu, K.,&King, A.J. (2002). Applications of flexible pricing in business-to-business electronic commerce. IBM Systems Journal, 41(2), 287-302.
9. Bouwman, H., Haaker, T.,&de Vos, H. (2007). Mobile service bundles: the example of navigation services. Electronic Markets, 17(1), 20-28.
10. Butler, J., Morrice, D.J.,&Mullarkey, P.W. (2001). A multiple attribute utility theory approach to ranking and selection. Management Science, 47(6), 800-816.
11. Chen, L.-S., Hsu, F.H., Chen, M.C.,&Hsu, Y.C. (2008). Developing recommender systems with the consideration of product profitability for sellers. Information Sciences, 178(4), 1032-1048.
12. Choi, S.H., Kang, S.,&Jeon, Y.J. (2006). Personalized recommendation system based on product specification values. Expert Systems with Applications, 31(3), 607-616.
13. De Bruyn, A., Liechty, J.C., Huizingh, E.K.R.E.,&Lilien, G.L. (2008). Offering online recommendations with minimum customer input through conjoint-based decision aids. Marketing Science, 27(3), 443-460.
14. Desiraju, R.,&Shugan, S.M. (1999). Strategic service pricing and yield management. Journal of Marketing, 63(1), 44-56.
15. Elmaghraby, W.,&Keskinocak, P. (2003). Dynamic pricing in the presence of inventory considerations: research overview, current practices and future directions. Management Science, 49(10), 1287-1309.
16. Frei, F.X. (2006). Breaking the trade-off between efficiency and service. Harvard Business Review, 84(11), 93-101.
17. Fricker, S., Galesic, M., Tourangeau, R.,&Yan, T. (2005). An experimental comparison of web and telephone surveys. Public Opinion Quarterly, 69(3), 370-392.
18. Gebauer, H., Fleisch, E.,&Friedli, T. (2005). Overcoming the service paradox in manufacturing companies. European Management Journal, 22(1), 14-26.
19. Gorman, M.F., Salisbury, W.D.,&Brannon, I. (2009). Who wins when price information is more ubiquitous? An experiment to assess how intermediaries influence price. Electronic Markets, 19 (2-3), 151-162.
20. Green, P.E. (1977). A new approach to market segmentation. Business Horizons, 20(1), 61-73.
21. Green, P.E.,&DeSarbo, W.S. (1979). Componential segmentation in the analysis of consumer trade-offs. Journal of Marketing, 43(4), 83-91.
22. Green, P.E.,&Krieger, A.M. (1988). Choice rules and sensitivity analysis in conjoint simulators. Journal of the Academy of Marketing Science, 16(1), 114-127.
23. Green, P.E.,&Srinivasan, V. (1990). Conjoint analysis in marketing: new developments with implications for research and practice. Journal of Marketing, 54(4), 3-19.
24. Green, P.E., Krieger, A.M.,&Agarwal, M.K. (1993). A cross validation test of four models for quantifying multiattribute preferences. Marketing Letters, 4(4), 369-380.
25. Grover, R.,&Vriens, M. (2006). The handbook of marketing research: Uses, misuses, and future advances. Thousand Oaks: Sage.
26. Gustafsson, A., Herrmann, A.,&Huber, F. (2007). Conjoint measurement: Methods and applications (4th ed.). Berlin: Springer.
27. Hair, J.F., Jr., Black, W.C., Babin, B.J.,&Anderson, R.E. (2010). Multivariate data analysis-a global perspective. Upper Saddle River: Pearson.
28. Herlocker, J.L., Konstan, J.A., Terveen, L.G.,&Riedl, J.T. (2004). Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22(1), 5-53.
29. Hevner, A.R., March, S.T., Park, J.,&Ram, S. (2004). Design science in information systems research. Management Information Systems Quarterly, 28(1), 75-105.
30. Homburg, C.,&Garbe, B. (1999). Towards an improved understanding of industrial services: quality dimensions and their impact on buyer-seller relationships. Journal of Business to Business Marketing, 6(2), 39-71.
31. Homburg, C., Günther, C.,&Faßnacht, M. (2004). Wenn Industrieunternehmen zu Dienstleistern werden. Lernen von den Besten. In C. Homburg (Ed.), Perspektiven der marktorientierten Unternehmensführung. Wiesbaden: DUV.
32. Howells, J. (2003). Innovation, consumption and knowledge: Services and encapsulation. CRIC discussion paper, No.62, University of Manchester.
33. Johnston, W.J.,&Lewin, J.E. (1996). Organizational buying behavior: toward an integrative framework. Journal of Business Research, 35(1), 1-15.
34. Kauffman, R.J.,&Wang, B. (2001). New buyers' arrival under dynamic pricing market microstructure: The case of groupbuying discounts on the internet. In Proceedings of the 35th Hawaii' International Conference on Systems Sciences, Maui.
35. Lee, T., Chun, J., Shim, J.,&Lee, S. (2007). An ontology-based product recommender system for B2B marketplaces. International Journal of E-Commerce, 11(2), 125-155.
36. Manouselis, N.,&Costopoulou, C. (2007). Analysis and classification of multi-criteria recommender systems. World Wide Web, 10(4), 415-441.
37. March, S.T.,&Smith, G.F. (1995). Design and natural science research on information technology. Decision Support Systems, 15(4), 251-266.
38. Martin, F. (2009). Top 10 lessons learned developing, deploying, and operating real-world recommender systems, industry keynote 3rd ACM Conference on Recommender System 2009, New York, http://recsys.acm.org/invited-talk-strands- martin.pdf, Accessed: 2009-11-30.
39. Moore, W.L. (1980). Levels of aggregation in conjoint analysis: an empirical comparison. Journal of Marketing Research, 17(4), 516-523.
40. Nagle, T.T.,&Holden, R.K. (2002). The strategy and tactics of pricing: A guide to profitable decision making. Upper Saddle River: Prentice Hall.
41. OECD (2005). Enhancing the performance of the service sector, online resource: http://www.value-chains.org/dyn/bds/docs/497/WolflOEC DEnhancingPerformanceServicesSector.pdf, Accessed: 2008-02-20.
42. Oliva, R.,&Kallenberg, R. (2003). Managing the transition from products to services. International Journal of Service Industry Management, 14(2), 160-172.
43. Pessemier, E., Burger, P., Teach, R.,&Tigert, D. (1971). Using laboratory brand preference scales to predict consumer brand purchases. Management Science, 17(6), 371-385.
44. Rai, A.,&Sambamurthy, V. (2006). Editorial notes: the growth of interest in services management: opportunities for information systems scholars. Information Systems Research, 17(4), 327-331.
45. Rossignoli, C., Carugati, A.,&Mola, L. (2009). The strategic mediator: a paradoxical role for a collaborative e-marketplace. Electronic Markets, 19(1), 55-66.
46. Roster, C.A., Rogers, R.D., Albaum, G.,&Klein, D. (2004). A comparison of response characteristics from web and telephone surveys. International Journal of Market Research, 46(3), 359-373.
47. Schafer, J.B., Konstan, J.A.,&Riedl, J.T. (2001). E-commerce recommendation applications. Data Mining and Knowledge Discovery, 5(1-2), 115-153.
48. Schneider, T. (2005). Preference-base-recommender-systeme. Individuelle neuronale Präferenzmodellierung am Beispiel von Investmentfonds. Wiesbaden: DUV.
49. Scholz, M. (2008). From consumer preferences towards buying decisions. Conjoint Analysis as a preference measuring method in product Recommender Systems. Proceedings of the 21st Bled Conference, Bled.
50. Schuman, H.,&Presser, S. (1996). Questions and answers in attitude surveys: Experiments on question form, wording, and content. New York: Academic.
51. Schwind, M. (2007). Dynamic pricing and automated resource allocation for complex information services: Reinforcement learning and combinatorial auctions. In: Lecture notes in economics and mathematical systems, No.589. Springer, Berlin.
52. Shardanand, U.,&Maes, P. (1995). Social information filtering: Algorithms for automating 'Word of Mouth', Proceedings of the Conference on Human Factors in Computing Systems 1995, Denver.
53. Stremersch, S.,Wuyts, S.,&Frambach, R.T. (2001). The purchasing of full-service contracts; an exploratory study within the industrial maintenance market. Industrial Marketing Management, 30(1), 1-12.
54. Thaler, R., Kahneman, D.,&Knetsch, J. (1986). Fairness as a constraint on profit-seeking: entitlements in the market. American Economic Review, 76(4), 728-741.
55. Varian, H.R. (1996). Differential pricing and efficiency, First Monday, Vol.1, No.2, URL: http://firstmonday.org/htbin/cgi wrap/bin/ojs/index.php/fm/ article/viewArticle/473/394, Accessed: 2009-11-30.
56. Voeth, M., Herbst, U.,&Tobies, I. (2007). Customer insights on industrial markets-a new method to measure complex preferences, Proceedings of the IMP Group Conference 2007, Manchester.
57. Wang, S., Archer, N.,&Zheng, W. (2006). An exploratory study of electronic marketplace adoption: a multiple perspective view. Electronic Markets, 16(4), 337-348