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    題名: 電子化服務傳遞之協同式定價模式研究
    iPrice: A Collaborative Pricing Model for e-Service Bundle Delivery
    作者: 張瑋倫
    Chang,Wei-Lun
    貢獻者: 苑守慈
    Yuan,Soe-Tsyr
    張瑋倫
    Chang,Wei-Lun
    關鍵詞: 資訊產品定價
    馬可夫鏈
    ERG理論
    展望理論
    Information Goods Pricing
    Markov Chain
    ERG Theory
    Prospect Theory
    日期: 2006
    上傳時間: 2009-09-18 20:15:41 (UTC+8)
    摘要: Information goods pricing is an essential and emerging topic in the era of information economy. Myriad researchers have devoted considerable attention to developing and testing methods of information goods pricing. Nevertheless, in addition; there are still certain shortcomings as the challenges to be overcome. This study encompasses several unexplored concepts that have attracted research attention in other disciplines lately, such as collaborative prototyping, prospect theory, ERG theory, and maintenance from design, economic, psychological, and software engineering respectively. This study proposes a novel conceptual framework for information goods pricing and investigates the impact of three advantages: (1) provides collaborative process that could generate several prototypes via trial and error in pricing process, (2) deliberates the belief of consumer and producer by maximizing utility and profit, and (3) offers an appropriate service bundle by interacting with consumer and discovering the actual needs.
    Due to the unique cost structure and product characteristics of information goods, conventional pricing strategies are unfeasible, and a differential pricing strategy is crucial. Nevertheless, few models exist for pricing information goods in the e-service industry. This study proposes a novel collaborative pricing model in which customers are active participants in determining product prices and adopt prices and services that meet their changing needs. This study also shows that the collaborative pricing model generates an optimal bundle price at equilibrium with optimal profit and utility. Theoretical proofs and practical implications justify this pricing model, which is essential for future information goods pricing in information economy.
    Moreover, we apply iCare e-service delivery as an exemplar and scenario for our system. The objective of iCare is to provide quality e-services to the elderly people anywhere and anytime. The new pricing method will go beyond the current iCare e-service delivery process which furnishes personalized and collaborative bundles. iPrice system for pricing information goods fills the gap among previous literatures which only considers consumers or providers. Different from existing works, iPrice system is novel in integrating distinctively important concepts yielding more benefits to consumers and profits to more providers. Thus, iPrice also guides and provides a roadmap for information goods pricing for future research.
    Information goods pricing is an essential and emerging topic in the era of information economy. Myriad researchers have devoted considerable attention to developing and testing methods of information goods pricing. Nevertheless, in addition; there are still certain shortcomings as the challenges to be overcome. This study encompasses several unexplored concepts that have attracted research attention in other disciplines lately, such as collaborative prototyping, prospect theory, ERG theory, and maintenance from design, economic, psychological, and software engineering respectively. This study proposes a novel conceptual framework for information goods pricing and investigates the impact of three advantages: (1) provides collaborative process that could generate several prototypes via trial and error in pricing process, (2) deliberates the belief of consumer and producer by maximizing utility and profit, and (3) offers an appropriate service bundle by interacting with consumer and discovering the actual needs.
    Due to the unique cost structure and product characteristics of information goods, conventional pricing strategies are unfeasible, and a differential pricing strategy is crucial. Nevertheless, few models exist for pricing information goods in the e-service industry. This study proposes a novel collaborative pricing model in which customers are active participants in determining product prices and adopt prices and services that meet their changing needs. This study also shows that the collaborative pricing model generates an optimal bundle price at equilibrium with optimal profit and utility. Theoretical proofs and practical implications justify this pricing model, which is essential for future information goods pricing in information economy.
    Moreover, we apply iCare e-service delivery as an exemplar and scenario for our system. The objective of iCare is to provide quality e-services to the elderly people anywhere and anytime. The new pricing method will go beyond the current iCare e-service delivery process which furnishes personalized and collaborative bundles. iPrice system for pricing information goods fills the gap among previous literatures which only considers consumers or providers. Different from existing works, iPrice system is novel in integrating distinctively important concepts yielding more benefits to consumers and profits to more providers. Thus, iPrice also guides and provides a roadmap for information goods pricing for future research.
    參考文獻: IBM Research Home, “Service Sciences, Management, and Engineering,” http://www.research.ibm.com/ssme/
    OECD in Figures, 2005 Edition. http://www.oecd.org/
    Population Division, DESA, United Nations. Available at: http://www.un.org/esa/population/
    The Government Accountability Office of United States. Available at: http://www.gao.gov/
    Administration on Aging, U.S. Department of Health & Human Services. Available at: http://www.aoa.gov/
    Ageing and Life Course of World Health Organization. Available at: http://www.who.int/hpr/ageing/publications.htm
    American Association of Homes and Services for the Aging, “Quality First Overview,” Available at: http://www2.aahsa.org/
    Zimmerman, B., “Ralph Stacey”“s Agreement & Certainty Matrix”, 2001. Available at: http://www.plexusinstitute.org/edgeware/archive/think/main_aides3.html
    Abernathy, W. and Rosenbloom, R. (1968) “Parallel and sequential R&D strategies: Application if a simple model,” IEEE Transactions on Engineering Management, Vol. 15, No.1.
    Adlam, T. D. and Orpwood, R. D. (2004) “Taking the Gloucester Smart House from the Laboratory to the Living Room,” Proceeding of UbiHealth04 Conference
    Agarwal, M. and Chatterjee, S. (2003) “Complexity, Uniqueness, and Similarity in Between-Bundle Choice“, The Journal of Product and Brand Management, 12, 6/7, pp. 358 - 376.
    Alderfer, C. P. (1972) Existence, relatedness, and growth. New York: Free Press
    Altinkemer, K. (2001) “Bundling e-Banking Services“, Communications of ACM, 44, 6, June, pp. 45–47.
    Altinkemer, K. and Jaisingh, J. (2002) “Pricing Bundled Information Goods,“ The Proceeding of the 4th IEEE Intl Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS 2002), June 26-28, Newport Beach, California, USA, pp. 89-96.
    Angood, P. B. (2001) “Telemedicine, the Internet, and World Wide Web: Overview, Current Status and Relevance to Surgeons,” World Journal of Surgery, 25, pp.1449-1457.
    Aron, R., Sundararajan, A. and Siva Viswanathan, S. (2004). “Intelligent Agents in Electronic Markets for Information Goods”, Decision Support Systems, November, pp. 764-786.
    Bakos, Y. and Brynjolfsson, E. (2000) “Bundling and Competition on the Internet“, Marketing Science, 19, (1), Winter, pp. 63-82.
    Banker, R. D., Datar, S. M., Kemerer, C. F., and Zweig, D. (2002) “Software Errors and Software Maintenance Management”, Information Technology and Management, 3, pp. 25-41.
    Bhargava, H. K. and Choudhary, V. (2001) “Information Goods and Vertical Differentiation”, Journal of Management Information Systems, 18, pp. 89-106.
    Buffett, S. and Spencer, B. (2004) “A Decision Procedure for Bundle Purchasing with Incomplete Information on Future Prices”, International Journal of Electronic Commerce, Vol. 8, No. 4, Summer, pp. 131-144.
    Brooks, C. H., Fay, S., Das, R., MacKie-Mason, J. K., Kephart, J. O., and Durfe, E. H. (1999) “Automated Strategy Searches in an Electronic Goods Market: Learning and Complex Schedules”, ACM EC-99, November, pp. 31-40.
    Chang, Y. C., Li, C. S., and Smith, J. R. (2003) “Searching Dynamically Bundled goods with Pairwise Relations”, The Proceedings of ACM Electronic Commerce (EC”“03), Dan Diego, California, USA, June 9-12, pp. 135-143.
    Chen, Y. N. and Png, I. (2003) “Information Goods Pricing and Copyright Enforcement: Welfare Analysis”, Information Systems Research, Vol. 14, No. 1, March, pp. 107-123.
    Choudhary, V., A. Ghose, T. Mukhopadhyay, and U. Rajan, (2005) “Personalized Pricing and Quality Differentiation,” Management Science, 51(7), 1120-1130.
    Dasgupta, P. and Das, R. (2000) “Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy”, Cooperative Information Systems, Lecture Notes in Computer Science, Proceedings of the Fifth International Conference on Cooperative Information Systems (CoopIS), Eilat, Israel, September, pp. 299-310.
    Dishman, E. (2004) ”Inventing Wellness Systems for Aging in Place,” IEEE computer Society, Volume 37, Number 5, pp.34-41.
    Fishburn, P. C. and Odlyzko, A. M. (1997). “Competitive pricing of information goods: Subscription pricing versus pay-per-use,” Florham Park, NJ, AT&T Labs - Research.
    Galanter, E. and Pliner, P. (1974) “Cross-Modality Matching of Money Against Other Continua,” Sensation and Measurement, Holland Reidel, pp. 65-76.
    Gibbons, M., & Hopkins, D. (1980). “How experiential is your experience-based program?” The Journal of Experiential Education, 3(1).
    Grunenwald, J. P. and Vernon, T. T. (1988) “Pricing Decision Making for High-Technology Products and Services”, The Journal of Business & Industrial Marketing, Winter, Vol. 3, No. 1, pp. 61-70.
    Haigh, K. Z. and Yanco, H. (2002) “Automation as Caregiver: A Survey of Issues and Technologies,” in AAAI- 02 Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, 39-53.
    Huang, M. H. (2001) “Unfair Pricing in the Information Economy: Implications for Public Policy”, Conference Proceedings of American Marketing Association, pp. 364-365.
    Huang, M. H. (2005) “Unequal Pricing in the Information Economy: Implications for Consumer Welfare”, Journal of Business Ethics, 56, pp. 305-315.
    Helal, S., Giraldo, C., Kaddoura, Y. and Lee, C. “Smart phone based cognitive assistant,” In UbiHealth 2003, October (2003)
    Hui, K. L. and Chau, Y. K. (2002) “Classifying Digital Products”, Communications of ACM, Vol.45, Iss.6, June, pp. 73 - 79.
    Intille, S. S. (2002) “Designing a Home of the Future.” IEEE Pervasive Computing, April-June, pp. 80-86.
    Jain, S. and Kannan, P. K. (2002) “Pricing of Information Products on Online Servers: Issues, Models, and Analysis”, Management Science, Vol. 48, No. 9, September, pp. 1123-1142.
    Jing, B. (2000) “Versioning information goods with network externalities”, Proceedings of the twenty first international conference on Information systems, Brisbane, Queensland, Australia, pp. 1-12.
    Kahneman, D. and Tversky, A. (1979) “Prospect theory: An analysis of decision under risk,” Econometrica, 47, pp.263-291.
    Kahneman, D. (2003). “Maps of Bounded Rationality: Psychology for Behavioral Economics”, American Economic Review, 93(5), pp. 1449-1475.
    Kannan, P. K. and Kopalle, P. K. (2001) “Dynamic Pricing on the Internet: Importance and Implications for Consumer Behavior”, International Journal of Electronic Commerce, Vol. 5, No. 3, Spring, pp. 63-83.
    Kautz, H., Arnstein, L., Borriello, G., Etzioni, O. and Fox, D. (2002) “Towards personal service robots for the elderly,”AAAI-2002 Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care.
    Kemeny, J. G., Schleifer, A., Snell, J. L., and Thompson, G. L. (1962) Finite Mathematics with Business Applications, Prentice-Hall, Englewood Cliffs, N. J.
    Kidd, C. D., Robert J. O., Gregory D. A., Christopher G. A., Irfan A. E., Blair M., Elizabeth M., Thad E. S. and Wendy N. (1999) “The Aware Home: A Living Laboratory for Ubiquitous Computing Research,” In the Proceedings of the Second International Workshop on Cooperative Buildings, Position paper.
    Kivisaari, E. and Luukkainen, S. (2003) “Content-Based Pricing of Services in the Mobile Internet”, Internet and Multimedia Systems and Applications, Honolulu, Hawaii, 13.-15, pp. 479-483.
    Klein, S. and Loebbecke, C. (2003) “Emerging Pricing Strategies on the Web: Lessons from the Airline Industry”, Electronic Markets, 13(1), pp. 46-58.
    Koifman, G., Shehory, O., and Gal, A. (2004). “Negotiation-Based Price Discrimination for Information Goods”, AAMAS’04, July 19-23, New York, pp. 679- 686.
    Laerhoven, K. V., Lo, B. P. L., Ng, J. W. P., Thiemjarus, S., King, R., Kwan, S., Gellersen H. W., Sloman, M., Wells, O., Needham, P., Peter, N., Darzi, A., Toumazou, C. and Yang, G. Z. (2004) “Medical Healthcare Monitoring with Wearable and Implantable Sensors,” Proceeding of UbiHealth04 Conference.
    Levitt, T. (1981) “Managing intangible products and product intangibles,” Harvard Business Review, May-June, pp.94-102.
    Loke, S. W., Krishnaswamy, S. and Naing, T. T. (2005) “Service Domains for Ambient Services: Concept and Experimentation,” Mobile Networks and Applications, 10, pp.295-404.
    Lakhal, S. Y. and H”“Mida, S. (2005) “A pricing model for a new product sold over the internet”, Int. J. Internet Marketing and Advertising, Vol. 2, Nos. 1/2, pp. 56-77.
    Malone, T. W. (1988) “What is coordination theory?“ working paper #2951-88/ Cambridge, MA: MIT Sloan School of Management.
    Markowitz, H. (1952) “The Utility of Wealth,” Journal of Political Economy, Vol. 60, No. 2, pp.151-158.
    McCain, R. A. (2005) Essential Principles of Economics: A Hypermedia Text. Chapter 16.
    Miravete, E. J. (2003) “Choosing the Wrong Calling Plan? Ignorance and Learning”, American Economic Review, 93, March, pp.297-310.
    Miyazaki, A. D. (2003) “The Psychology of Pricing on the Internet”, Psychology and Marketing, Vol. 20, Iss. 6, pp. 471-476.
    Murata, T. (1989) “Petri Nets: Properties, Analysis and Applications,” Proceedings of the IEEE, Vol. 77, No 4, pp. 541-580.
    Nelson, R. R. (1961) “Uncertainty, learning, and economics of parallel search and development efforts,” The Review of Economics and Statistics, Vol. 43, pp351-364.
    Odlyzko, A. (2003) “Privacy, Economics, and Price Discrimination on the Internet”, In ACM, Fifth International Conference on Electronic Commerce (ICEC2003), pp. 355-366.
    Papandrea, F., Stoeckl, N., and Daly, A. (2003) “Bundling in the Australian Telecommunications Industry”, Australian Economic Review, 36(1), pp. 41-54.
    Pigou, A. C. (1920) The Economics of Welfare, 4th Edition, Macmillan, London, UK.
    Pine II, B. J. and Gilmore, J. H. (1998) ”Welcome to the Experience Economy,” Harvard Business Review.
    Pion, R. J. (2001) “E-Care: Made Possible by Technologic Convergence,” Proceedings of the Symposium on Applications and the Internet Workshops (SAINT.01w).
    Pollack, M. E., Brown, L., Colbry, D., McCarthy, C., Peintner, B., Ramakrishnan, S. and Tsamardinos, I. (2003) “Autominder: An intelligent cognitive orthotic system for people with memory impairment.” Robotics and Autonomous Systems, 44, pp. 273-282.
    Roy, N., Baltus, G., Fox, D., Gemperle, F., Goetz, J., Hirsch, T., Margaritis, D., Montemerlo, M., Pineau, J., Schulte J. and Thrun, S. (2000) “Towards Personal Service Robots for the Elderly,” Workshop on Interactive Robots and Entertainment (WIRE 2000). Pittsburgh, PA.
    Schäfer, R. (2001). “Rules for Using Multi-Attribute Utility Theory for Estimating a User’s Interests’,” Proc. of the 9th GI-Workshop: ABIS-Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen, Dortmund, Germany, October.
    Seo, J. W. and Park, K. (2004) “The Development of a Ubiquitous Health House in South Korea,” The 6th International Conference on Ubiquitous Computing (UbiComp 2004), Nottlngham, England, Sep. 7-10.
    Shapiro, C. and Varian, H. R. (1998) Information Rules; A strategic guide to the network economy, Boston (MA): Harvard Business School Press.
    Shapiro, C. and Varian, H. R. (1998) “Versioning: The Smart Way to Sell Information”, Harvard Business Review, Nov-Dec, pp. 106-114.
    Sherif, C. (1965) “Attitude and Attitude Change; the social judgment-involvement approach,” Philadelphia: Saunders.
    Simonson, I. and Drolet, A. (2004) “Anchoring Effects on Consumers” Willingness-to-Pay and Willingness-to-Accept”“, Journal of Consumer Research, Vol. 31, December, pp. 681-690.
    Somefun, D. J. A. and La Poutré, J. A. (2003) “Bundling and pricing for information brokerage: Customer satisfaction as a means to profit optimization”, The Proceedings of Web Intelligence 2003, IEEE Computer Society, pp. 182-189.
    Sommerville, I. (2000) Software Engineering (6th edition), Addison Wesley, Chapter 8.
    Srinivasan, V., Lovejoy, W. S., and Beach, D. (1997) “Integrated product design for marketability and manufacturing,” Journal of Marketing Research, Vol. 34, Feb, pp154-163.
    Stigler, G. J. (1961) “The Economics of Information,” Journal of Political Economy, Vol. 69, No. 3, pp 213-225.
    Stiller, B., Reichl, P., and Leinen, S. (2000) “Pricing and Cost Recovery for Internet Services: Practical Review, Classification, and Application of Relevant Models”, Economic Research and Electronic Networking, Vol. 2, No. 1, January, pp. 149-171.
    Stremersch, .S. and Tellis, G. (2002) “Strategic Bundling of Products and Prices: A New Synthesis for Marketing”, Journal of Marketing, 66 (1), Jan, pp. 55-73.
    Sundararajan, A. (2004) “Nonlinear Pricing of Information Goods”, 2nd International Industrial Organization Conference, April, pp. 1660-1673.
    Terwiesch, C. and Loch, C. H. (2004) “Collaborative Prototyping and the Pricing of Custom-Designed Products,” Management Science, Vol. 50, No. 2, February.
    Thaler, R. (1985) “Mental Accounting and Consumer Choice,” Marketing Science, Vol. 4, No. 3, Summer.
    Thaler, R. (1999) “Mental Accounting Matters,” Journal of Behavioral Decision Making, 12, pp. 183-206.
    Thomke, S. H. (1998) “Managing Experimentation in the Design of New Products,” Management Science, Vol. 44, No. 6, (June), p. 734-762.
    Tsai, T. M., Liu, J. T., and Hsu, Y. J. (2004) “MiCare: Context-aware Authorization for Integrated Healthcare Service,” The 6th International Conference on Ubiquitous Computing (UbiHealth Workshop 2004), Nottlngham, England, Sep. 7-10.
    Ulrich, K. T. and Eppinger, S. D. (1999) “Product Design and Development (2nd Edition),” McGraw-Hill/Irwin, Chap12, October 6.
    Vandermerwe, S. and Rada, J. (1988) “Servicitization of business: Adding value by adding services,” European Management Journal, vol. 6, no. 4, 1988.
    Varian, H. (1995) “Pricing Information Goods,” Proceedings of the Symposium on Scholarship in the New Information Environment, Harvard Law School.
    Varian, H. (1997) “Versioning Information Goods,” The Economics of Digital Information (tentative), Discussion Paper, Cambridge, MA, MIT Press.
    Wang, K. L. (2004) “Pricing Strategies for Information Products: A Review,” IEEE International Conference on e-Commerce Technology for Dynamic E-Busines (CEC04EAST), Beijing, China, September 13-15, pp. 345-348.
    Wills, D. (2000) “Ambulation Monitoring and Fall Detection System using Dynamic Belief Networks,” Thesis Report, School of Computer Science and Software Engineering, Monash University.
    Woodruff, A. and Mainwaring, S. (2005) “Everyday Practices in Great Rooms,” Proceeding of UbiComp05 Conference, Tokyo, JAPAN, September 11 – 14.
    Xia, L., Monroe, K. B., and Cox, J. L. (2004) “The Price is Unfair! A Conceptual Framework of Price Fairness Perceptions,” Journal of Marketing, Vol. 68, October, pp. 1-15.
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    國立政治大學
    資訊管理研究所
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