Collaborative Demand Forecasting: Toward the Design of an Exception-Based Forecasting Mechanism

References

• Andrews, J. CPFR: Considering the options, advantages and pitfalls. Supply and Demand Chain Executives (May 30, 2008) (available at www.sdcexec.com/article/10289594/cpfr-considering-the-options-advantages-and-pitfalls/
   Google Scholar
• Aviv, Y. Collaborative forecasting and its impact on supply chain performance. In D. Simchi-Levi, S. D. Wu, and Z. Shen (eds.), Handbook of Quantitative Supply Chain Analysis—Modeling in the E-Business Era. Norwell, MA: Kluwer Academic, 2002, pp. 393-446.
   Google Scholar
• Aviv, Y. On the benefits of collaborative forecasting partnerships between retailers and manufacturers on supply chain performance. Management Science, 53, 5 (2007), 777-794.
   Google Scholar
• Ba, S.; Stallaert, J.; and Whinston, A. Research commentary: Introducing a third dimension in information systems design—The case for incentive alignment. Information Systems Research, 12, 3, (2001), 225-239.
   Google Scholar
• Bapna, R.; Goes, P.; and Gupta, A. Auctioning vertically integrated online services: Computational approaches for real-time allocation. Journal of Management Information Systems, 25, 3 (Winter 2008-9), 65-97.
   Google Scholar
• Bapna, R.; Barua, A.; Mani, D.; and Mehra, A. Research commentary: Cooperation, coordination, and governance in multisourcing: An agenda for analytical and empirical research. Information Systems Research, 21, 4 (2010), 785-795.
   Google Scholar
• Burnetas, A.; Gilbert, S. M.; and Smith, C. E. Quantity discounts in single-period supply contracts with asymmetric demand information. IIE Transactions, 39, 5 (2007), 465-479.
   Google Scholar
• Cachon, G., and Lariviere, M. Contracting to assure supply: How to share demand forecasts in a supply chain. Management Science, 47, 5 (2001), 629-646.
   Google Scholar
• Cachon, G., and Lariviere, M. Supply chain coordination with revenue sharing contracts. Management Science, 51, 1 (2005), 30-44.
   Google Scholar
• Cecere, L. What happened to CPFR? Institute of Business Forecasting & Planning, November 29, 2010 (available at www.demand-planning.com/2010/11/29/what-happened-to-cpfr/
   Google Scholar
• Cederlund, J.; Kohli, R.; Sherer, S.; and Yao, Y. How Motorola put CPFR into action. Supply Chain Management Review, 11, 7 (October 2007), 28-35.
   Google Scholar
• Chen, F.; Drezner, Z.; Ryan, J.; and Simchi-Levi, D. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Science, 46, 3 (2000), 436-443.
   Google Scholar
• Chen, M.; Chang, H.; Chang, S.; and Chen, S. Development of manufacturer-retailer relationships through collaborative management: A case study. International Journal of Innovation and Technology Management, 1, 3 (2004), 307-323.
   Google Scholar
• Corbett, C. Stochastic inventory systems in a supply chain with asymmetric information: Cycle stocks, safety stocks, and consignment stock. Operations Research, 49, 4 (2001), 487-500.
   Google Scholar
• Dedrick, J.; Xu, S. X.; and Zhu, K. X. How does information technology shape supply-chain structure? Evidence on the number of suppliers. Journal of Management Information Systems, 25, 2 (Fall 2008), 41-72.
   Google Scholar
• Demirkan, H.; Cheng, H.; and Bandyopadhyay, S. Coordination strategies in an SaaS supply chain. Journal of Management Information Systems, 26, 4 (Spring 2010), 119-143.
   Google Scholar
• Dong, S.; Xu, S. X.; and Zhu, K. X. Information technology in supply chains: The value of IT-enabled resources under competition. Information Systems Research, 20, 1 (2009), 18-32.
   Google Scholar
• Donohue, K. Efficient supply contracts for fashion goods with forecast updating and two production modes. Management Science, 46, 11 (2000), 1397-1411.
   Google Scholar
• Dyer, J. H., and Chu, W. The role of trustworthiness in reducing transaction costs and improving performance: Empirical evidence from the United States, Japan, and Korea. Organization Science, 14, 1 (2003), 57-68.
   Google Scholar
• Eisman, A. Optimizing performance across your supply chain. White paper, Information Builders, New York, 2007.
   Google Scholar
• Fan, M.; Stallaert, J.; and Whinston, A. Decentralized mechanism design for supply chain organizations using an auction market. Information Systems Research, 14, 1 (2003), 1-12.
   Google Scholar
• Fuderberg, D., and Tirole, J. Game Theory. Cambridge: MIT Press. 1991.
   Google Scholar
• Gallego, G., and Özer, Ö. Integrating replenishment decisions with advanced demand information. Management Science, 47, 10 (2001), 1344-1360.
   Google Scholar
• Gal-Or, E., and Ghose, A. The economic incentives for sharing security information. Information Systems Research, 16, 2 (2005), 186-208.
   Google Scholar
• Gan, X.; Sethi, S. P.; and Yan, H. Channel coordination with a risk-neutral supplier and a downside-risk-averse retailer. Production and Operations Management, 14, 1 (2005), 80-89.
   Google Scholar
• Gosain, S.; Malhotra, A.; and El Sawy, O. A. Coordinating for flexibility in e-business supply chains. Journal of Management Information Systems, 21, 3 (Winter 2004-5), 7-45.
   Google Scholar
• Greenwald, A.; Kannan, K.; and Krishnan, R. On evaluating information revelation policies in procurement auctions: A Markov decision process approach. Information Systems Research, 21, 1 (2010), 15-36.
   Google Scholar
• Gurnani, H., and Tang, C. Note: Optimal ordering decisions with uncertain cost and demand forecast updating. Management Science, 45, 10 (1999), 1456-1462.
   Google Scholar
• Heath, D., and Jackson, P. Modeling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems. IIE Transactions, 26, 3 (1994), 17-30.
   Google Scholar
• Huang, M.-H.; Wang, E. T. G.; and Seidmann, A. Price mechanism for knowledge transfer: An integrative theory. Journal of Management Information Systems, 24, 3 (Winter 2008), 79-108.
   Google Scholar
• Iyer, A. V.; Deshpande, V.; and Wu, Z. Contingency management under asymmetric information. Operations Research Letters, 33, 6 (2005), 572-580.
   Google Scholar
• Johnson, M. Collaboration data modeling: CPFR implementation guidelines. Annual Conference Proceedings of the Council of Logistics Management, Toronto, Ontario, October 17-20, 1999.
   Google Scholar
• Karabuk, S., and Wu, S. D. Incentive schemes for semiconductor capacity allocation: A game theoretic analysis. Production and Operations Management, 14, 2 (2005), 175-188.
   Google Scholar
• Kim, K.; Umanath, N.; and Kim, B. An assessment of electronic information transfer in B2B supply channel relationships. Journal of Management Information Systems, 22, 3 (Winter 2005-6), 293-320.
   Google Scholar
• Klein, R., and Rai, A. Interfirm strategic information flows in logistics supply chain relationships. MIS Quarterly, 33, 4 (2009), 735-762.
   Google Scholar
• Kraemer, K. L.; Dedrick, J.; and Yamashiro, S. Refining and extending the business model with information technology: Dell Computer Corporation. Information Society, 16, 1 (2000), 5-21.
   Google Scholar
• Kumar, N. The power of trust in manufacturer-retailer relationships. Harvard Business Review, 74, 6 (1996), 92-106.
   Google Scholar
• Lee, H.; Padmanabhan, S.; and Whang, S. Information distortion in a supply chain: The bullwhip effect. Management Science, 43, 4 (1997), 546-558.
   Google Scholar
• Levi, M.; Kleindorfer, P.; and Wu, D. J. Codifiability, relationship-specific information technology investment, and optimal contracting. Journal of Management Information Systems, 20, 2 (Fall 2003), 77-98.
   Google Scholar
• Lin, L.; Geng, X.; and Whinston, A. B. A sender-receiver framework for knowledge transfer. MIS Quarterly, 29, 2 (2005), 197-219.
   Google Scholar
• McAfee, A., and Ashiya, M. Syncra Systems. Harvard Business School Case 9-601-035, Boston, 2003.
   Google Scholar
• Mishra, B. K.; Raghnathan, S.; and Yue, X. Information sharing in supply chains: Incentives for information distortion. IIE Transactions, 39, 9 (2007), 863-877.
   Google Scholar
• Mishra, B. K.; Raghnathan, S.; and Yue, X. Demand forecast sharing in supply chains. Production and Operations Management, 18, 2 (2009), 152-166.
   Google Scholar
• Miyaoka, J. Implementing collaborative forecasting through buyback contracts. Working paper, San Francisco State University, San Francisco, CA, 2003.
   Google Scholar
• Murphy, J. V. Best Buy's journey to a best-in-class supply chain. SupplyChainBrain, March 1, 2005 (available at www.supplychainbrain.com/content/index.php?id=5032&cHash=081010&tx_ttnews[tt_news]=967/
   Google Scholar
• Narayanan, V. G., and Raman, A. Aligning incentives for supply chains. Harvard Business Review, 82, 11 (2004), 94-102.
   Google Scholar
• Özer, Ö., and Wei, W. Strategic commitments for an optimal capacity decision under asymmetric forecast information. Management Science, 52, 8 (2006), 1238-1257.
   Google Scholar
• Özer, Ö.; Zheng, Y.; and Chen, K.-Y. Trust in forecast information sharing. Management Science, 57, 6 (2011), 1111-1137.
   Google Scholar
• Patnayakuni, R.; Rai, A.; and Seth, N. Relational antecedents of information flows in supply networks. Journal of Management Information Systems, 23, 1 (Summer 2006), 13-49.
   Google Scholar
• Premkumar, G.; Ramamurthy, K.; and Saunders, C. S. Information processing view of organizations: An exploratory examination of fit in the context of interorganizational relationships. Journal of Management Information Systems, 22, 1 (Summer 2005), 257-294.
   Google Scholar
• Schilling, T.; Smith, R.; Vigen, S.; and Huskey, M. Supplier deck—CPFR process and benefits. 2009 (available at www.powershow.com/view/8db4-YzIyN/Supplier_Deck_CPFR_Process_and_Benefits/
   Google Scholar
• Schwarz, L. The state-of-practice in supply-chain management: A research perspective. In E. Akcali, J. G eunes, P. M. Pardalas, H. E. Romeijn, and Z.-J. Shen (eds.), Applications of Supply Chain Management and E-Commerce Research. Berlin: Springer Science+Business Media, 2005, pp. 325-362.
   Google Scholar
• Sen, S.; Raghu, T.; and Vinze, A. Demand information sharing in heterogeneous IT services environments. Journal of Management Information Systems, 26, 4 (Spring 2010), 287-316.
   Google Scholar
• Sherman, R. J. Collaborative planning, forecasting & replenishment (CPFR): Realizing the promise of efficient consumer response through collaborative technology. Journal of Marketing Theory and Practice, 6, 4 (1998), 6-9.
   Google Scholar
• Steermann, H. A practical look at CPFR: The Sears-Michelin experience. Supply Chain Management Review, 7, 4 (2003), 46-53.
   Google Scholar
• Steinfield, C.; Markus, M. L.; and Wigand, R. T. Through a glass clearly: Standards, architecture, and process transparency in global supply chains. Journal of Management Information Systems, 28, 2 (Fall 2011), 75-108.
   Google Scholar
• Taylor, T. A. Sale timing in a supply chain: When to sell to the retailer. Manufacturing & Service Operations Management, 8, 1 (2006), 23-42.
   Google Scholar
• Terwiesch, C.; Ren, Z. J.; and Cohen, M. A. An empirical analysis of forecast sharing in the semiconductor equipment supply chain. Management Science, 51, 2 (2005), 208-220.
   Google Scholar
• Toktay, L., and Wein. L. Analysis of a forecasting-production-inventory system with stationary demand. Management Science, 47, 9 (2001), 1268-1281.
   Google Scholar
• Tsay, A. A.; Nahmias, S.; and Agrawal, N. Modeling supply chain contracts: A review. In S. Tayur, R. G aneshan, and M. Magazine (ed.), Quantitative Models for Supply Chain Management. Boston: Kluwer Academic, 1998, pp. 299-336.
   Google Scholar
• Voluntary Interindustry Commerce Standards (VICS). Roadmap to CPFR: The case studies. Lawrenceville, NJ, 1999 (available at www.gs1us.org/DesktopModules/Bring2mind/DMX/Download.aspx?Command=Core_Download&EntryId=632&PortalId=0&TabId=785/
   Google Scholar
• Voluntary Interindustry Commerce Standards (VICS), CPFR Committee. CPFR: An overview of the model. Lawrenceville, NJ, 2004 (available at www.gs1us.org/DesktopModules/Bring2mind/DMX/Download.aspx?Command=Core_Download&EntryId=631&PortalId=0&TabId=785/
   Google Scholar
• Wang, E. T. G.; Tai, J. C. F.; and Grover, V. Examining the relational benefits of improved interfirm information processing capability in buyer-supplier dyads. MIS Quarterly, 37, 1 (2013), 149-173.
   Google Scholar
• Wang, Y.; Jiang, L.; and Shen, Z. J. Channel performance under consignment contract with revenue sharing. Management Science, 50, 1 (2004), 34-47.
   Google Scholar
• Wu, D. J., and Kleindorfer, P. Competitive options, supply contracting, and electronic markets. Management Science, 51, 3 (2005), 452-466.
   Google Scholar
• Yang, Z.; Aydin, G.; Babich, V.; and Beil, D. R. Supply disruptions, asymmetric information, and a backup production option. Management Science, 55, 2 (2009), 192-209.
   Google Scholar
• Yoo, B.; Choudhary, V.; and Mukhopahdyay, T. A study of sourcing channels for electronic business transactions. Journal of Management Information Systems, 28, 2 (Fall 2011), 145-169.
   Google Scholar
• Zhu, K. Information transparency of business-to-business electronic markets: A game-theoretic analysis. Management Science, 50, 5 (2004), 670-685.
   Google Scholar