| Reference: | [1] Ali, M. M., Boylan, J. E., & Syntetos, A. A. (2012). Forecast errors and inventory performance under forecast information sharing. International Journal of Forecasting, 28(4), 830-841.
[2] Angulo, A., Nachtmann, H., & Waller, M. A. (2004). Supply chain information sharing in a vendor managed inventory partnership. Journal of business logistics, 25(1), 101-120.
[3] Aviv, Y., & Federgruen, A. (1998). The operational benefits of information sharing and vendor managed inventory (VMI) programs. Olin School of Business Working Paper.
[4] Aviv, Y. (2001). The effect of collaborative forecasting on supply chain performance. Management science, 47(10), 1326-1343.
[5] Bourland, K. E., Powell, S. G., & Pyke, D. F. (1996). Exploiting timely demand information to reduce inventories. European journal of operational research, 92(2), 239-253.
[6] Bozarth, C. C., Warsing, D. P., Flynn, B. B., & Flynn, E. J. (2009). The impact of supply chain complexity on manufacturing plant performance. Journal of Operations Management, 27(1), 78-93.
[7] Cachon, G. P., & Fisher, M. (2000). Supply chain inventory management and the value of shared information. Management science, 46(8), 1032-1048.
[8] Cachon, G. P., & Lariviere, M. A. (2001). Contracting to assure supply: How to share demand forecasts in a supply chain. Management science, 47(5), 629-646.
[9] Carr, A. S., & Kaynak, H. (2007). Communication methods, information sharing, supplier development and performance: an empirical study of their relationships. International Journal of Operations & Production Management, 27(4), 346-370.
[10] Cattani, K., & Hausman, W. (2000). Why are forecast updates often disappointing?. Manufacturing & Service Operations Management, 2(2), 119-127.
[11] Dong, Y., Dresner, M., & Yao, Y. (2014). Beyond information sharing: An sManagement, 23(5), 817-828.
[12] Duray, R., Ward, P.T., Milligan, G.W., Berry, W.L., 2000. Approaches to mass customization: configurations and empirical validation. Journal of Operations Management 18 (6), 605–625.
[13] Ebrahim‐Khanjari, N., Hopp, W., & Iravani, S. M. (2012). Trust and information sharing in supply chains. Production and Operations Management, 21(3), 444-464.
[14] Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration: an international study of supply chain strategies. Journal of operations management, 19(2), 185-200.
[15] Fu, X., Dong, M., Liu, S., & Han, G. (2016). Trust based decisions in supply chains with an agent. Decision Support Systems, 82, 35-46.
[16] Gavirneni, S., R. Kapuscinski, S. Tayur. 1999. Value of information in capacitated supply chains. Management Sci. 45(1) 16-24.
[17] Gümüş, M. (2014). With or without forecast sharing: Competition and credibility under information asymmetry. Production and Operations Management, 23(10), 1732-1747.
[18] Hayes, R.H., Wheelwright, S.C., 1979. Link manufacturing and product life cycles. Harvard Business Review 57 (1), 133–140
[19] Hill, T., 1994. Manufacturing Strategy: Text and Cases, second ed. Irwin, Blue Ridge, IL.
[20] Hsu, C. C., Kannan, V. R., Tan, K. C., & Keong Leong, G. (2008). Information sharing, buyer-supplier relationships, and firm performance: a multi-region analysis. International Journal of Physical Distribution & Logistics Management, 38(4), 296-310.
[21] Hyndman, K., Kraiselburd, S., & Watson, N. (2013). Aligning capacity decisions in supply chains when demand forecasts are private information: Theory and experiment. Manufacturing & Service Operations Management, 15(1), 102-117.
[22] Inderfurth, K., Sadrieh, A., & Voigt, G. (2013). The impact of information sharing on supply chain performance under asymmetric information. Production and Operations Management, 22(2), 410-425.
[23] Jacquemin, A. P., & Berry, C. H. (1979). Entropy measure of diversification and corporate growth. The journal of industrial economics, 359-369.
[24] Jiang, B., Tian, L., Xu, Y., & Zhang, F. (2016). To share or not to share: Demand forecast sharing in a distribution channel. Marketing Science, 35(5), 800-809.
[25] Lee, H., & Whang, S. (1998). Information Sharing in a Supply Chain, Research Paper No. 1549, Graduate School of Business.
[26] Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Manufacturing Technology and Management, 1(1), 79-93.
[27] Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management science, 46(5), 626-643.
[28] Li, L. (2002). Information sharing in a supply chain with horizontal competition. Management Science, 48(9), 1196-1212.
[29] Li, T., & Zhang, H. (2015). Information sharing in a supply chain with a make-to-stock manufacturer. Omega, 50, 115-125.
[30] Metters, R. (1997). Quantifying the bullwhip effect in supply chains. Journal of operations management, 15(2), 89-100.
[31] Mishra, B. K., Raghunathan, S., & Yue, X. (2009). Demand forecast sharing in supply chains. Production and Operations Management, 18(2), 152-166.
[32] Oh, S., & Özer, Ö. (2013). Mechanism design for capacity planning under dynamic evolutions of asymmetric demand forecasts. Management Science, 59(4), 987-1007.
[33] Özer, Ö., & Wei, W. (2006). Strategic commitments for an optimal capacity decision under asymmetric forecast information. Management science, 52(8), 1238-1257.
[34] Özer, Ö., Zheng, Y., & Chen, K. Y. (2011). Trust in forecast information sharing. Management Science, 57(6), 1111-1137.
[35] Palepu, K. (1985). Diversification strategy, profit performance and the entropy measure. Strategic management journal, 6(3), 239-255.
[36] Prajogo, D., & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514-522.
[37] Safizadeh, M.H., Ritzman, L.P., Sharma, D., Wood, C., 1996. An empirical analysis of the product–process matrix. Management Science 42 (11), 1576–1591.
[38] Sheffi, Y. (2002, October). The value of CPFR. In Proceedings of RIRL Conference, Lisboa.
[39] Småros, J. (2007). Forecasting collaboration in the European grocery sector: Observations from a case study. Journal of Operations Management, 25(3), 702-716.
[40] Spiliotopoulou, E., Donohue, K., & Gürbüz, M. Ç. (2016). Information reliability in supply chains: the case of multiple retailers. Production and Operations Management, 25(3), 548-567.
[41] Stank, T. P., Keller, S. B., & Daugherty, P. J. (2001). Supply chain collaboration and logistical service performance. Journal of Business logistics, 22(1), 29-48.
[42] Terwiesch, C., Ren, Z. J., Ho, T. H., & Cohen, M. A. (2005). An empirical analysis of forecast sharing in the semiconductor equipment supply chain. Management science, 51(2), 208-220.
[43] Vereecke, A., & Muylle, S. (2006). Performance improvement through supply chain collaboration in Europe. International journal of operations & production management, 26(11), 1176-1198.
[44] Voigt, G., & Inderfurth, K. (2012). Supply chain coordination with information sharing in the presence of trust and trustworthiness. Iie Transactions, 44(8), 637-654.
[45] Yue, X., & Liu, J. (2006). Demand forecast sharing in a dual-channel supply chain. European Journal of Operational Research, 174(1), 646-667. |
