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https://pubsonline.informs.org/doi/abs/10.1287/mksc.18.3.274
Though manufacturers spend much of their marketing budget on trade promotions, they lack decision support systems to address the complexity and dynamics of promotion planning. Previous research has produced insights into how to evaluate the effectiveness of promotional events, but has not addressed the planning problem in a dynamic environment.Cited by: 152
https://www.jstor.org/stable/193173
A Decision Support System for Planning Manufacturers' Sales Promotion Calendars Created Date: 20160802041115Z ...
https://sloanreview.mit.edu/article/changing-the-channel-a-better-way-to-do-trade-promotions/
Jan 15, 2002 · Silva-Risso, R. Bucklin and D. Morrison, “A Decision Support System for Planning Manufacturers’ Sales Promotion Calendars,” Marketing Science 18 (fall 1999): 274–300. 18. K.
https://link.springer.com/chapter/10.1007/978-3-319-56941-3_2
Jul 14, 2017 · In Part II we discuss normative models, i.e. models that tell the decision maker what is the best (profit maximizing) decision on sales promotion activities. We cover models for planning promotions to consumers as well as decision models on trade promotions for manufacturers, and normative retailer models for optimal forward buying and pass ...Cited by: 84
https://pubsonline.informs.org/doi/abs/10.1287/mksc.6.2.101
The system uses available data (shipments, warehouse withdrawal or store level scanner data) and contains a knowledge base to recognize and adjust for data irregularities. The system estimates a baseline of what sales would have been had a promotion not been run.Cited by: 209
https://link.springer.com/chapter/10.1007/978-0-387-78213-3_16
A Decision Support System for Planning Manufacturers’ Sales Promotion Calendars. Marketing Science 18(3) 274–300. CrossRef Google Scholar. ... Marketing Engineering: Models that Connect with Practice. In: Wierenga B. (eds) Handbook of Marketing Decision Models. International Series in Operations Research & Management Science, vol 121 ...Cited by: 8
https://www.researchgate.net/scientific-contributions/77327938_Donald_G_Morrison
Donald G. Morrison's 4 research works with 237 citations and 110 reads, including: A Decision Support System for Planning Manufacturers' Sales Promotion Calendars
https://www.anderson.ucla.edu/faculty-and-research/marketing/faculty/bucklin
Bucklin’s award-winning work has advanced with the times. Originally, his research looked at data culled from bar codes and focused on consumer packaged goods. ... Decision Support System for Planning Manufacturers' Sales Promotion Calendars. Marketing Science, 274-300. Randolph E. Bucklin and Sunil Gupta. (1999). Commercial Use of Scanner ...
https://journals.sagepub.com/doi/full/10.1177/0022243718821660
Jan 03, 2019 · Intertemporal savings strategies, such as bulk buying or accelerating purchase timing to take advantage of a good deal, provide long-term savings in …Cited by: 4
https://www.researchgate.net/profile/Richard_Staelin/publication/227442181_The_Success_of_Marketing_Management_Support_Systems/links/02bfe50e5acb29db50000000.pdf?origin=publication_list
A Decision Support System for Planning Manufacturers' Sales Promotion Calendars PromoCastTM: A New Forecasting Method for Promotion Planning . Table 3
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