Title
Information acquisition in new product introduction
Abstract
In the presence of huge losses from unsuccessful new product introductions, companies often seek forecast information from various sources. As the information can be costly, companies need to determine how much effort to put into acquiring the information. Such a decision is strategically important because an insufficient investment may cause lack of knowledge of product profitability, which in turn may lead to introducing a loss-making product or scrapping a potentially profitable one. In this paper, we use decision analytical models to study information acquisition for new product introduction. Specifically, we consider a decision maker (DM) who, prior to introducing a new product, can purchase forecasts and use the information to update his knowledge of the market demand. We analyze and compare two approaches: The first approach is to determine the total amount of forecasts to purchase all at once. The second one is to purchase forecasts sequentially and, based on the purchased forecasts, determine whether those forecasts are informative enough for making an introduction decision or an additional forecast is needed. We present dynamic programming formulations for both approaches and derive the optimal policies. Via a numerical study, we find the second approach, i.e., purchasing forecasts sequentially, can generate a significant profit advantage over the first one when (1) the cost of acquiring forecasts is neither too high nor too low, (2) the precision of the forecasts is of a moderate level, and (3) the profit margin of the new product is small.
Year
DOI
Venue
2009
10.1016/j.ejor.2008.09.030
European Journal of Operational Research
Keywords
Field
DocType
Decision analysis,Dynamic programming,Forecasting,Marketing,Production
Decision analysis,Consensus forecast,Benefice,Decision support system,Operations research,Profit margin,Profitability index,Purchasing,Operations management,Mathematics,New product development
Journal
Volume
Issue
ISSN
198
2
0377-2217
Citations 
PageRank 
References 
4
0.42
3
Authors
2
Name
Order
Citations
PageRank
Yongquan Li1120.91
Kaijie Zhu212411.18