|
1. Agatz, N. A., Fleischmann, M., & Van Nunen, J. A. (2008). E-fulfillment and multi-channel distribution–A review. European Journal of Operational Research,187(2), 339-356.
2. Ariely, D., & Simonson, I. (2003), "Buying, Bidding, Playing, or Competing? Value Assessment and Decision Dynamics in Online Auctions," Journal of Consumer Psychology, 13 (1), 113-23
3. Asdemir, K., Jacob, V. S., & Krishnan, R. (2009). Dynamic pricing of multiple home delivery options. European Journal of Operational Research, 196(1), 246-257.
4. Bapna, R., Goes, P. B., & Gupta, A. (2001). Insights and analyses of online auctions. Commun. ACM, 44(11), 42-50
5. Belk, R.W (1975). Situational variables and consumer behavior. Journal of Consumer Research, Vol. 2, No. 3, pp. 157-164.
6. Boyer, K. K., Hult, G. T., & Frohlich, M. (2003). An exploratory analysis of extended grocery supply chain operations and home delivery. Integrated Manufacturing Systems, 14(8), 652-663.
7. Boyer, K. K., Prud'homme, A. M., & Chung, W. (2009). The last mile challenge: evaluating the effects of customer density and delivery window patterns. Journal of Business Logistics, 30(1), 185-201.
8. Caldentey, R., & Vulcano, G. (2007). Online auction and list price revenue management. Management Science, 53(5), 795-813.
9. Campbell, A. M., & Savelsbergh, M. W. (2005). Decision support for consumer direct grocery initiatives. Transportation Science, 39(3), 313-327.
10. Campbell, A. M., & Savelsbergh, M. (2006). Incentive schemes for attended home delivery services. Transportation science, 40(3), 327-341.
11. Chandran, S., & Morwitz, V. G. (2005). Effects of participative pricing on consumers’ cognitions and actions: a goal theoretic perspective. Journal of Consumer Research, 32(2), 249-259.
12. Chen, S. & Liu, X (2010). Analyzing the consumers’ decision When simultaneous use of auction and posted price. Logistics Engineering and Intelligent Transportation Systems (LEITS), 2010 International Conference 1-4.
13. Ding, M., Eliashberg, J., Huber, J., & Saini, R. (2005). Emotional bidders—An analytical and experimental examination of consumers' behavior in a priceline-like reverse auction. Management Science, 51(3), 352-364.
14. Etzion, H., Pinker, E., & Seidmann, A. (2006). Analyzing the simultaneous use of auctions and posted prices for online selling. Manufacturing & Service Operations Management, 8(1), 68-91.
15. Gevaers, R., Van de Voorde, E., & Vanelslander, T. (2011). Charateristics and Typology of Last-mile Logistic from an Innovation Perspective in an Urban Context. City Distribution and Urban Freight Transport: Multiple Perspectives, Edward Elgar Publishing, 56-71.
16. Kim, J. Y., Natter, M., & Spann, M. (2009). Pay what you want: A new participative pricing mechanism. Journal of Marketing, 73(1), 44-58.
17. Klein, S (1997). Introduction to electronic auctions. Electronic Markets, - Taylor & Francis.
18. Klemperer, P. (1999). Auction theory: A guide to the literature. Journal of economic surveys, 13(3), 227-286.
19. Kwak, H., Fox, R. J., & Zinkhan, G. M. (2002). What products can be successfully promoted and sold via the Internet? Journal of Advertising Research, 42(1), 23-38. 20. Lee, J. S., & Szymanski, B. K. (2007). Auctions as a dynamic pricing mechanism for e-services. In Service Enterprise Integration (pp. 131-156). Springer US.
21. Park, M., & Regan, A. (2004). Issues in emerging home delivery operations.
22. Popescu, I., Y. Wu. 2007. Dynamic pricing strategies with reference effects. Operations Research 55(3) 413–429.
23. Punakivi, M., & Saranen, J. (2001). Identifying the success factors in e-grocery home delivery. International Journal of Retail & Distribution Management, 29(4), 156-163.
24. Stafford, MR., & Stern, B (2002) - Consumer bidding behavior on Internet auction sites. International Journal of Electronic Commerce ,(7)1, 135-150.
25. Shen, Z. J. M., & Su, X. (2007). Customer behavior modeling in revenue management and auctions: A review and new research opportunities. Production and operations management, 16(6), 713-728.
26. Su, X. 2008. Bounded rationality in newsvendor models. Manufacturing Service Oper. Management 10(4), 566–589.
27. Su, X. (2009). A model of consumer inertia with applications to dynamic pricing.Production and Operations Management, 18(4), 365-380.
28. Talluri, K., & Van Ryzin, G. (1998). An analysis of bid-price controls for network revenue management. Management Science, 44(11-Part-1), 1577-1593.
29. Talluri, K., & Van Ryzin, G. (2004). Revenue management under a general discrete choice model of consumer behavior. Management Science, 50(1), 15-33.
30. Weatherford, L. R., & Bodily, S. E. (1992). A taxonomy and research overview of perishable-asset revenue management: yield management, overbooking, and pricing. Operations Research, 40(5), 831-844.
31. Zhao, L., Tian, P., & Li, X. (2012). Dynamic pricing in the presence of consumer inertia. Omega, 40(2), 137-148.
32. 陳毓潔(2012). 動態訂價於宅配物流配送時段管理之研究
|