IDEAS home Printed from https://ideas.repec.org/r/inm/ormnsc/v47y2001i10p1326-1343.html
   My bibliography  Save this item

The Effect of Collaborative Forecasting on Supply Chain Performance

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Choi, Sangdo & Ketzenberg, Michael, 2018. "An inverse newsvendor model to set the optimal number of customers in a capacitated environment," International Journal of Production Economics, Elsevier, vol. 196(C), pages 188-197.
  2. Ketzenberg, Michael E. & Rosenzweig, Eve D. & Marucheck, Ann E. & Metters, Richard D., 2007. "A framework for the value of information in inventory replenishment," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1230-1250, November.
  3. Kenneth Gilbert, 2005. "An ARIMA Supply Chain Model," Management Science, INFORMS, vol. 51(2), pages 305-310, February.
  4. Vladimir Kovtun & Avi Giloni & Clifford Hurvich, 2014. "Assessing the value of demand sharing in supply chains," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(7), pages 515-531, October.
  5. Zhang, Shuguang & Dan, Bin & Zhou, Maosen, 2019. "After-sale service deployment and information sharing in a supply chain under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 279(2), pages 351-363.
  6. Khan, Muhammad Hamza & Khan, Muhammad Hassan & Maqsood, Muhammad Nawaz & Rehman, Khaliq Ur, 2012. "The Relationship between Supply Chain Fit and Return on Assets of the Firm," MPRA Paper 53195, University Library of Munich, Germany.
  7. Makarius, Erin E. & Srinivasan, Mahesh, 2017. "Addressing skills mismatch: Utilizing talent supply chain management to enhance collaboration between companies and talent suppliers," Business Horizons, Elsevier, vol. 60(4), pages 495-505.
  8. Tetsuo Iida & Paul Zipkin, 2010. "Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts," Operations Research, INFORMS, vol. 58(5), pages 1350-1363, October.
  9. Gérard P. Cachon & Taylor Randall & Glen M. Schmidt, 2007. "In Search of the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 457-479, April.
  10. Aditya Jain, 2022. "Sharing Demand Information with Retailer Under Upstream Competition," Management Science, INFORMS, vol. 68(7), pages 4983-5001, July.
  11. Danese, Pamela & Kalchschmidt, Matteo, 2011. "The impact of forecasting on companies' performance: Analysis in a multivariate setting," International Journal of Production Economics, Elsevier, vol. 133(1), pages 458-469, September.
  12. Heung‐Kyu Kim & Jennifer K. Ryan, 2003. "The cost impact of using simple forecasting techniques in a supply chain," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(5), pages 388-411, August.
  13. Ajaya Kumar Swain & Ray Qing Cao, 2019. "Using sentiment analysis to improve supply chain intelligence," Information Systems Frontiers, Springer, vol. 21(2), pages 469-484, April.
  14. Nihat Altintas & Michael Trick, 2014. "A data mining approach to forecast behavior," Annals of Operations Research, Springer, vol. 216(1), pages 3-22, May.
  15. Anupam Agrawal & Luk N. Van Wassenhove & Arnoud De Meyer, 2014. "The Sourcing Hub and Upstream Supplier Networks," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 238-250, May.
  16. Eroglu, Cuneyt & Hofer, Christian & Hofer, Adriana Rossiter & Hou, Young, 2023. "“Cultural inventories”: How dimensions of national culture moderate the effect of demand unpredictability on firm-level inventories," International Journal of Production Economics, Elsevier, vol. 264(C).
  17. Li Chen & Hau L. Lee, 2009. "Information Sharing and Order Variability Control Under a Generalized Demand Model," Management Science, INFORMS, vol. 55(5), pages 781-797, May.
  18. Lingxiu Dong & Hau L. Lee, 2003. "Optimal Policies and Approximations for a Serial Multiechelon Inventory System with Time-Correlated Demand," Operations Research, INFORMS, vol. 51(6), pages 969-980, December.
  19. Terry A. Taylor & Wenqiang Xiao, 2010. "Does a Manufacturer Benefit from Selling to a Better-Forecasting Retailer?," Management Science, INFORMS, vol. 56(9), pages 1584-1598, September.
  20. Hoang, Cong Huan & Ly, Kim Cuong & Xiao, Qin & Zhang, Xuan, 2023. "Does national culture impact trade credit provision of SMEs?," Economic Modelling, Elsevier, vol. 124(C).
  21. Oded Berman & Mohammad M. Fazel-Zarandi & Dmitry Krass, 2019. "Truthful Cheap Talk: Why Operational Flexibility May Lead to Truthful Communication," Management Science, INFORMS, vol. 65(4), pages 1624-1641, April.
  22. Leroy B. Schwarz & Hui Zhao, 2011. "The Unexpected Impact of Information Sharing on US Pharmaceutical Supply Chains," Interfaces, INFORMS, vol. 41(4), pages 354-364, August.
  23. Büttner, Daniel & Scheidler, Anne Antonia & Rabe, Markus, 2021. "A reference model for data-driven sales planning: Development of the model's framework and functionality," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 441-476, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  24. Mümin Kurtuluş & Sezer Ülkü & Beril L. Toktay, 2012. "The Value of Collaborative Forecasting in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 82-98, January.
  25. Baojun Jiang & Lin Tian & Yifan Xu & Fuqiang Zhang, 2016. "To Share or Not to Share: Demand Forecast Sharing in a Distribution Channel," Marketing Science, INFORMS, vol. 35(5), pages 800-809, September.
  26. Fildes, Robert & Goodwin, Paul & Onkal, Dilek, 2015. "Information use in supply chain forecasting," MPRA Paper 66034, University Library of Munich, Germany.
  27. Wan, Xiang & Sanders, Nadia R., 2017. "The negative impact of product variety: Forecast bias, inventory levels, and the role of vertical integration," International Journal of Production Economics, Elsevier, vol. 186(C), pages 123-131.
  28. Kidd, Martin P. & Borm, Peter, 2021. "On Determining Leading Coalitions in Supply Chains: Methodology and Application," Discussion Paper 2021-009, Tilburg University, Center for Economic Research.
  29. Karimi, Majid & Zaerpour, Nima, 2022. "Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1035-1049.
  30. Yossi Aviv, 2002. "Gaining Benefits from Joint Forecasting and Replenishment Processes: The Case of Auto-Correlated Demand," Manufacturing & Service Operations Management, INFORMS, vol. 4(1), pages 55-74, December.
  31. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"," Management Science, INFORMS, vol. 50(12_supple), pages 1887-1893, December.
  32. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
  33. Shuyun Ren & Hau-Ling Chan & Pratibha Ram, 2017. "A Comparative Study on Fashion Demand Forecasting Models with Multiple Sources of Uncertainty," Annals of Operations Research, Springer, vol. 257(1), pages 335-355, October.
  34. Fahim ul Amin & Qingkai Ji & María del Carmen Valls Martínez & Qian-Li Dong & Shamsa Kanwal & Iram Zulfiqar, 2023. "The Moderating Effect of Customer Relationship on Supply Chain Risk Management and Organization Performance in Logistics Sector of Pakistan," SAGE Open, , vol. 13(1), pages 21582440231, March.
  35. Iida, Tetsuo, 2015. "Benefits of leadtime information and of its combination with demand forecast information," International Journal of Production Economics, Elsevier, vol. 163(C), pages 146-156.
  36. Ouyang, Yanfeng, 2007. "The effect of information sharing on supply chain stability and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1107-1121, November.
  37. Mirko Kremer & Enno Siemsen & Douglas J. Thomas, 2016. "The Sum and Its Parts: Judgmental Hierarchical Forecasting," Management Science, INFORMS, vol. 62(9), pages 2745-2764, September.
  38. Lu, Jizhou & Feng, Gengzhong & Shum, Stephen & Lai, Kin Keung, 2021. "On the value of information sharing in the presence of information errors," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1139-1152.
  39. Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.
  40. Sang-Hyun Kim & Serguei Netessine, 2013. "Collaborative Cost Reduction and Component Procurement Under Information Asymmetry," Management Science, INFORMS, vol. 59(1), pages 189-206, November.
  41. Yushi Tsunoda & Yusuke Zennyo, 2021. "Platform Information Transparency and Effects on Third‐Party Suppliers and Offline Retailers," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4219-4235, November.
  42. Kefeng Xu & Yang Dong & Yu Xia, 2014. "‘Too Little’ or ‘Too Late’: The Timing of Supply Chain Demand Collaboration," Working Papers 0203mss, College of Business, University of Texas at San Antonio.
  43. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
  44. Kevin B. Hendricks & Vinod R. Singhal, 2005. "Association Between Supply Chain Glitches and Operating Performance," Management Science, INFORMS, vol. 51(5), pages 695-711, May.
  45. Taaffe, Kevin & Geunes, Joseph & Romeijn, H. Edwin, 2008. "Target market selection and marketing effort under uncertainty: The selective newsvendor," European Journal of Operational Research, Elsevier, vol. 189(3), pages 987-1003, September.
  46. Long Gao & Susan H. Xu & Michael O. Ball, 2012. "Managing an Available-to-Promise Assembly System with Dynamic Short-Term Pseudo-Order Forecast," Management Science, INFORMS, vol. 58(4), pages 770-790, April.
  47. Ruomeng Cui & Gad Allon & Achal Bassamboo & Jan A. Van Mieghem, 2015. "Information Sharing in Supply Chains: An Empirical and Theoretical Valuation," Management Science, INFORMS, vol. 61(11), pages 2803-2824, November.
  48. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
  49. Julia Miyaoka & Warren Hausman, 2004. "How a Base Stock Policy Using "Stale" Forecasts Provides Supply Chain Benefits," Manufacturing & Service Operations Management, INFORMS, vol. 6(2), pages 149-162, September.
  50. Sagaert, Yves R. & Aghezzaf, El-Houssaine & Kourentzes, Nikolaos & Desmet, Bram, 2018. "Tactical sales forecasting using a very large set of macroeconomic indicators," European Journal of Operational Research, Elsevier, vol. 264(2), pages 558-569.
  51. Ryu, Seung-Jin & Tsukishima, Takahiro & Onari, Hisashi, 2009. "A study on evaluation of demand information-sharing methods in supply chain," International Journal of Production Economics, Elsevier, vol. 120(1), pages 162-175, July.
  52. Guanghua Han & Ming Dong, 2017. "Sustainable Regulation of Information Sharing with Electronic Data Interchange by a Trust-Embedded Contract," Sustainability, MDPI, vol. 9(6), pages 1-22, June.
  53. Avinadav, Tal & Chernonog, Tatyana & Ben-Zvi, Tal, 2019. "The effect of information superiority on a supply chain of virtual products," International Journal of Production Economics, Elsevier, vol. 216(C), pages 384-397.
  54. Moser, Philipp & Isaksson, Olov H.D. & Seifert, Ralf W., 2017. "Inventory dynamics in process industries: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 191(C), pages 253-266.
  55. Kalchschmidt, Matteo, 2012. "Best practices in demand forecasting: Tests of universalistic, contingency and configurational theories," International Journal of Production Economics, Elsevier, vol. 140(2), pages 782-793.
  56. Kamath, Narasimha B. & Roy, Rahul, 2007. "Capacity augmentation of a supply chain for a short lifecycle product: A system dynamics framework," European Journal of Operational Research, Elsevier, vol. 179(2), pages 334-351, June.
  57. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
  58. Altug, Mehmet Sekip & Muharremoglu, Alp, 2011. "Inventory management with advance supply information," International Journal of Production Economics, Elsevier, vol. 129(2), pages 302-313, February.
  59. Yossi Aviv, 2003. "A Time-Series Framework for Supply-Chain Inventory Management," Operations Research, INFORMS, vol. 51(2), pages 210-227, April.
  60. Hui Zhao & Chuanhui Xiong & Srinagesh Gavirneni & Adam Fein, 2012. "Fee-for-Service Contracts in Pharmaceutical Distribution Supply Chains: Design, Analysis, and Management," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 685-699, October.
  61. Li, Gang & Yang, Hongjiao & Sun, Linyan & Sohal, Amrik S., 2009. "The impact of IT implementation on supply chain integration and performance," International Journal of Production Economics, Elsevier, vol. 120(1), pages 125-138, July.
  62. Fildes, Robert & Goodwin, Paul & Lawrence, Michael & Nikolopoulos, Konstantinos, 2009. "Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning," International Journal of Forecasting, Elsevier, vol. 25(1), pages 3-23.
  63. Zhao, Xiande & Xie, Jinxing & Wei, Jerry C., 2007. "The value of early order commitment in a two-level supply chain," European Journal of Operational Research, Elsevier, vol. 180(1), pages 194-214, July.
  64. Zhang, Xiaolong & Burke, Gerard J., 2011. "Analysis of compound bullwhip effect causes," European Journal of Operational Research, Elsevier, vol. 210(3), pages 514-526, May.
  65. Xie, Jinxing & Zhou, Deming & Wei, Jerry C. & Zhao, Xiande, 2010. "Price discount based on early order commitment in a single manufacturer-multiple retailer supply chain," European Journal of Operational Research, Elsevier, vol. 200(2), pages 368-376, January.
  66. Li, Tian & Zhang, Hongtao, 2015. "Information sharing in a supply chain with a make-to-stock manufacturer," Omega, Elsevier, vol. 50(C), pages 115-125.
  67. Jason H. Goto & Mark E. Lewis & Martin L. Puterman, 2004. "Coffee, Tea, or …?: A Markov Decision Process Model for Airline Meal Provisioning," Transportation Science, INFORMS, vol. 38(1), pages 107-118, February.
  68. Rajaguru, Rajesh & Matanda, Margaret Jekanyika & Verma, Prikshat, 2023. "Information system integration, forecast information quality and market responsiveness: Role of socio-technical congruence," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
  69. Mukhopadhyay, Samar K. & Yue, Xiaohang & Zhu, Xiaowei, 2011. "A Stackelberg model of pricing of complementary goods under information asymmetry," International Journal of Production Economics, Elsevier, vol. 134(2), pages 424-433, December.
  70. Siqi Ma & Li Hao & John A. Aloysius, 2021. "Women are an Advantage in Supply Chain Collaboration and Efficiency," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1427-1441, May.
  71. Weidong Zhang & Fuqiang Wang, 2022. "Information Sharing in Competing Supply Chains with Carbon Emissions Reduction Incentives," Sustainability, MDPI, vol. 14(20), pages 1-25, October.
  72. Avinadav, Tal & Chernonog, Tatyana & Meilijson, Isaac & Perlman, Yael, 2022. "A consignment contract with revenue sharing between an app developer and a distribution platform," International Journal of Production Economics, Elsevier, vol. 243(C).
  73. Yan, Ruiliang, 2010. "Demand forecast information sharing in the competitive online and traditional retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 17(5), pages 386-394.
  74. Graça, Paula & Camarinha-Matos, Luís M., 2017. "Performance indicators for collaborative business ecosystems — Literature review and trends," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 237-255.
  75. Bin Shen & Hau-Ling Chan, 2017. "Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-26, February.
  76. Martin Albrecht, 2017. "Coordination of dynamic lot-sizing in supply chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(3), pages 322-330, March.
  77. Hill, Craig A. & Zhang, G. Peter & Miller, Keith E., 2018. "Collaborative planning, forecasting, and replenishment & firm performance: An empirical evaluation," International Journal of Production Economics, Elsevier, vol. 196(C), pages 12-23.
  78. Nam, Seong-Hyun & Vitton, John & Kurata, Hisashi, 2011. "Robust supply base management: Determining the optimal number of suppliers utilized by contractors," International Journal of Production Economics, Elsevier, vol. 134(2), pages 333-343, December.
  79. R Fildes & B Kingsman, 2011. "Incorporating demand uncertainty and forecast error in supply chain planning models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 483-500, March.
  80. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
  81. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael, 2014. "Collaborative forecasting in the food supply chain: A conceptual framework," International Journal of Production Economics, Elsevier, vol. 158(C), pages 120-135.
  82. Hyoduk Shin & Tunay I. Tunca, 2010. "Do Firms Invest in Forecasting Efficiently? The Effect of Competition on Demand Forecast Investments and Supply Chain Coordination," Operations Research, INFORMS, vol. 58(6), pages 1592-1610, December.
  83. Fu, Ke & Wang, Ce & Xu, Jiayan, 2022. "The impact of trade credit on information sharing in a supply chain," Omega, Elsevier, vol. 110(C).
  84. Jairo R. Montoya-Torres & Diego A. Ortiz-Vargas, 2014. "Collaboration and information sharing in dyadic supply chains: A literature review over the period 2000–2012," Estudios Gerenciales, Universidad Icesi, November.
  85. Pibernik, Richard & Sucky, Eric, 2007. "An approach to inter-domain master planning in supply chains," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 200-212, July.
  86. Xiangwen Lu & Jing-Sheng Song & Amelia Regan, 2006. "Inventory Planning with Forecast Updates: Approximate Solutions and Cost Error Bounds," Operations Research, INFORMS, vol. 54(6), pages 1079-1097, December.
  87. Kaijie Zhu & Ulrich W. Thonemann, 2004. "Modeling the Benefits of Sharing Future Demand Information," Operations Research, INFORMS, vol. 52(1), pages 136-147, February.
  88. Chao, Xiuli & Chen, Hong & Zheng, Shaohui, 2008. "Joint replenishment and pricing decisions in inventory systems with stochastically dependent supply capacity," European Journal of Operational Research, Elsevier, vol. 191(1), pages 142-155, November.
  89. Özalp Özer & Yanchong Zheng & Kay-Yut Chen, 2011. "Trust in Forecast Information Sharing," Management Science, INFORMS, vol. 57(6), pages 1111-1137, June.
  90. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
  91. Gunasekaran, Angappa & Ngai, Eric W.T., 2009. "Modeling and analysis of build-to-order supply chains," European Journal of Operational Research, Elsevier, vol. 195(2), pages 319-334, June.
  92. Jayashankar M. Swaminathan & Sridhar R. Tayur, 2003. "Models for Supply Chains in E-Business," Management Science, INFORMS, vol. 49(10), pages 1387-1406, October.
  93. Hartzel, Kathleen S. & Wood, Charles A., 2017. "Factors that affect the improvement of demand forecast accuracy through point-of-sale reporting," European Journal of Operational Research, Elsevier, vol. 260(1), pages 171-182.
  94. Bicer, Isik & Hagspiel, Verena, 2016. "Valuing quantity flexibility under supply chain disintermediation risk," International Journal of Production Economics, Elsevier, vol. 180(C), pages 1-15.
  95. Tianjian Yang & Weiguo Fan, 2016. "Information management strategies and supply chain performance under demand disruptions," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 8-27, January.
  96. Sundar Bharadwaj & Anandhi Bharadwaj & Elliot Bendoly, 2007. "The Performance Effects of Complementarities Between Information Systems, Marketing, Manufacturing, and Supply Chain Processes," Information Systems Research, INFORMS, vol. 18(4), pages 437-453, December.
  97. Ho Cheung Brian Lee & Jan Stallaert & Ming Fan, 2020. "Anomalies in Probability Estimates for Event Forecasting on Prediction Markets," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2077-2095, September.
  98. Sechan Oh & Özalp Özer, 2013. "Mechanism Design for Capacity Planning Under Dynamic Evolutions of Asymmetric Demand Forecasts," Management Science, INFORMS, vol. 59(4), pages 987-1007, April.
  99. Jiang, Zhong-Zhong & Zhao, Jinlong & Zhang, Yinghao & Yi, Zelong, 2022. "Unraveling the cheap talk’s informativeness of product quality in supply chains: A lying aversion perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
  100. Sun, Zhengwei & Hupman, Andrea C. & Abbas, Ali E., 2021. "The value of information for price dependent demand," European Journal of Operational Research, Elsevier, vol. 288(2), pages 511-522.
  101. Joseph M. Milner & Panos Kouvelis, 2005. "Order Quantity and Timing Flexibility in Supply Chains: The Role of Demand Characteristics," Management Science, INFORMS, vol. 51(6), pages 970-985, June.
  102. Julia Miyaoka & Warren H. Hausman, 2008. "How Improved Forecasts Can Degrade Decentralized Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 547-562, July.
  103. Hayat, Khizer & Abbas, Aamir & Siddique, M. & Cheema, Khaliq Ur Rehman, 2012. "A Study of the Different Factors That Affecting the Supply Chain Responsiveness," MPRA Paper 53193, University Library of Munich, Germany.
  104. Williams, Brent D. & Waller, Matthew A. & Ahire, Sanjay & Ferrier, Gary D., 2014. "Predicting retailer orders with POS and order data: The inventory balance effect," European Journal of Operational Research, Elsevier, vol. 232(3), pages 593-600.
  105. Arshinder & Kanda, Arun & Deshmukh, S.G., 2008. "Supply chain coordination: Perspectives, empirical studies and research directions," International Journal of Production Economics, Elsevier, vol. 115(2), pages 316-335, October.
  106. Yue, Xiaohang & Liu, John, 2006. "Demand forecast sharing in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 174(1), pages 646-667, October.
  107. Kate J. Li & Duncan K. H. Fong & Susan H. Xu, 2011. "Managing Trade-in Programs Based on Product Characteristics and Customer Heterogeneity in Business-to-Business Markets," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 108-123, October.
  108. Akkermans, Henk & Bogerd, Paul & van Doremalen, Jan, 2004. "Travail, transparency and trust: A case study of computer-supported collaborative supply chain planning in high-tech electronics," European Journal of Operational Research, Elsevier, vol. 153(2), pages 445-456, March.
  109. Pun, Hubert & Heese, H. Sebastian, 2015. "A note on budget allocation for market research and advertising," International Journal of Production Economics, Elsevier, vol. 166(C), pages 85-89.
  110. Heese, H. Sebastian & Kemahlıoğlu-Ziya, Eda, 2016. "Don't ask, don't tell: Sharing revenues with a dishonest retailer," European Journal of Operational Research, Elsevier, vol. 248(2), pages 580-592.
  111. Tong Wang & Atalay Atasu & Mümin Kurtuluş, 2012. "A Multiordering Newsvendor Model with Dynamic Forecast Evolution," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 472-484, July.
  112. Chernonog, Tatyana & Avinadav, Tal, 2019. "Pricing and advertising in a supply chain of perishable products under asymmetric information," International Journal of Production Economics, Elsevier, vol. 209(C), pages 249-264.
  113. Sherif Nasser & Danko Turcic, 2019. "Temporary Contract Adjustment to a Retailer with a Private Demand Forecast," Management Science, INFORMS, vol. 65(1), pages 209-229, January.
  114. Glenn, David & Bisi, Arnab & Puterman, Martin L., 2004. "The Bayesian Newsvendors in Supply Chains with Unobserved Lost Sales," Working Papers 04-0110, University of Illinois at Urbana-Champaign, College of Business.
  115. Bharadwaj Kadiyala & Özalp Özer & Alain Bensoussan, 2020. "A Mechanism Design Approach to Vendor Managed Inventory," Management Science, INFORMS, vol. 66(6), pages 2628-2652, June.
  116. Kyle Hyndman & Santiago Kraiselburd & Noel Watson, 2013. "Aligning Capacity Decisions in Supply Chains When Demand Forecasts Are Private Information: Theory and Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 15(1), pages 102-117, March.
  117. van de Vijver, M.A.R. & Akkermans, H.A. & Vos, G.C.J.M., 2004. "Hebban olla vogala nestas hagunnan hinase... A system dynamics case study of supply chain collaboration in the process industry," Other publications TiSEM 2f83850d-8e89-4d3b-9b7f-3, Tilburg University, School of Economics and Management.
  118. Li Chen & Wei Luo & Kevin Shang, 2017. "Measuring the Bullwhip Effect: Discrepancy and Alignment Between Information and Material Flows," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 36-51, February.
  119. Xiaolong Zhang, 2004. "Evolution of ARMA Demand in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 6(2), pages 195-198, April.
  120. Kim, Sung Min & Mahoney, Joseph T., 2006. "Collaborative Planning, Forecasting, and Replenishment (CPFR) as a Relational Contract: An Incomplete Contracting Perspective," Working Papers 06-0102, University of Illinois at Urbana-Champaign, College of Business.
  121. Constangioara Alexandru, 2014. "An Exploratory Approach To Integration Of Business Practices In Supply Chain Management," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1125-1134, July.
  122. Yossi Aviv, 2007. "On the Benefits of Collaborative Forecasting Partnerships Between Retailers and Manufacturers," Management Science, INFORMS, vol. 53(5), pages 777-794, May.
  123. Yan, Ruiliang & Pei, Zhi, 2011. "Information asymmetry, pricing strategy and firm's performance in the retailer- multi-channel manufacturer supply chain," Journal of Business Research, Elsevier, vol. 64(4), pages 377-384, April.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.