SEARCH

SEARCH BY CITATION

References

  • Asur, S., B. Huberman. 2010. Predicting the Future with Social Media. arXiv:1003.5699. doi: 10.1016/j.apenergy.2013.03.027
  • Chen, F. 2001. Market segmentation, advanced demand information, and supply chain performance. Manuf. Ser. Oper. Manag. 3(1): 5367.
  • Cheu, R. L., H. Nguyen, T. Magoc, V. Kreinovich. 2009. Logit discrete choice model: A new distribution-free justification. Soft Comput. – A Fusion Found. Methodol. Applic. 13(2): 133137.
  • Draganska, M., D. Jain. 2005. Product line length as a competitive tool. J. Econ. Manag. Strat. 14(1): 128.
  • Draganska, M., D. Jain. 2006. Consumer preferences and productline pricing strategies: An empirical analysis. Mark. Sci. 25(2): 164147.
  • Fay, S., D. Mitra, Q. Wang. 2009. Ask or infer? Strategic implications of alternative learning approaches in customization. Int. J. Res. Mark. 26(2): 136152.
  • Gallego, G., Ö. Özer. 2001. Integrating replenishment decisions with advance demand information. Manag. Sci. 47(10): 13441360.
  • Gallego, G., Ö. Özer. 2003. Optimal replenishment policies for multiechelon inventory problems under advance demand information. Manuf. Ser. Oper. Manag. 5(2): 157175.
  • Gayon, J. P., S. Benjaafar, F. de Vericourt 2009. Using imperfect demand information in production-inventory systems with multiple demand classes. Manuf. Ser. Oper. Manag. 11(1): 128143.
  • Goel, S., J. M. Hofman, S. Lahaie, D. M. Pennock, D. J. Watts. 2010. Predicting consumer behavior with Web search. Proc. Natl. Acad. Sci., USA, 107(41): 1748617490.
  • Hariharan, R., P. Zipkin. 1995. Customer-order information, leadtimes, and inventories. Manage. Sci. 41(10): 15991607.
  • Huang, T., G. Allon, A. Bassamboo. 2013. Bounded rationality in service systems. Manuf. Ser. Oper. Manag. Advance online publication. doi: 10.1287/msom.1120.0417.
  • Huang, T., J. A. Van Mieghem. 2013. The promise of strategic customer behavior: On the value of click tracking. Prod. Oper. Manag. 22(3): 489502.
  • Hui, K., P. S. Fader, E. T. Bradlow. 2009. Path data in marketing: An integrative framework and prospectus for model building. Mark. Sci. 28(2): 320335.
  • Johnson, E. J., S. Bellman, G. L. Lohse. 2003. Cognitive lock in and the power law of practice. J. Mark. 67(2): 6275.
  • Joo, M., K. Wilbur, Y. Zhu. 2012. Television advertising and online search. Available at SSRN: http://ssrn.com/abstract=1720713.
  • Levin, N., J. Zahavi. 1998. Continuous predictive modeling: A comparative analysis. J. Interac. Mark. 12(2): 522.
  • Manyika, J., M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, A. H. Byers. 2011. Big data: The next frontier for innovation, competition, and productivity. McKinsey & Company, New York.
  • McFadden, D. 1974. Conditional logit analysis of qualitative choice behavior. P. Zarembka (ed.) Frontiers in Econometrics. Academic Press, New York, 105142.
  • McFadden, D. 2001. Economic choices. Am. Econ. Rev. 91(3): 351378.
  • McFadden, D., K. Train. 2000. Mixed MNL models for discrete response. J. Appl. Economet. 15(5): 447470.
  • Moe, W., P. S. Fader. 2004. Dynamic conversion behavior at e-commerce sites. Manage. Sci. 50(3): 326335.
  • Montgomery, A. L. 2001. Applying quantitative marketing techniques to the internet. Interfaces 31(2): 90108.
  • Montgomery, A. L., K. Srinivasan. 2003. Learning about customers without asking. N. Pal, A. Rangawamy. eds. The Power of One-Leverage Value from Personalizaton Technologies, eBRC Press, Pennsylvania State University.
  • Montgomery, A., S. Li, K. Srinivasan, J. C. Liechty. 2004. Modeling online browsing and path analysis using clickstream data. Mark. Sci. 23(4): 579585.
  • Özer, Ö. 2011. Inventory management: Information, coordination and rationality. K. Kempf, P. Keskinocak, R. Uzsoy, eds. Handbook of Production Planning, Springer, New York, 321365.
  • Özer, Ö., W. Wei. 2004. Inventory control with limited capacity and advance demand information. Oper. Res. 52(6): 9881000.
  • Porteus, E. 1990. Stochastic inventory theory. Handbooks in Operations Research and Management Science, Vol. 2, Elsevier, Amsterdam, 605652.
  • Raman, A., M. Fisher. 1996. Reducing the cost of demand uncertainty through accurate response to early sales. Oper. Res. 44(4): 8799.
  • Sismeiro, C., R. E. Bucklin. 2004. Modeling purchase behavior at an e-commerce web site: A task completion approach. J. Mark. Res. 41(3): 306323.
  • Tan, T., R. Gullu, N. Erkip. 2007. Modeling imperfect advance demand information and analysis of optimal inventory policies. Eur. J. Oper. Res. 177(2): 897923.
  • Train, K. 2003. Discrete Choice Methods with Simulation. Cambridge University Press, New York.
  • Train, K., D. Revelt. 1998. Mixed logit with repeated choices: Households' choices of appliance efficiency level. Rev. Econ. Stat. 80(4): 647657.
  • Van den Poel, D., W. Buckinx. 2005. Predicting online-purchasing behavior. Eur. J. Oper. Res. 166(2): 557575.
  • Wang, T., B. Toktay. 2008. Inventory management with advance demand information and flexible delivery. Manage. Sci. 54(4): 716732.