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Modeling New Product Screening Decisions
Author(s) -
Baker Kenneth G.,
Albaum Gerald S.
Publication year - 1986
Publication title -
journal of product innovation management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.646
H-Index - 144
eISSN - 1540-5885
pISSN - 0737-6782
DOI - 10.1111/1540-5885.310032
Subject(s) - variety (cybernetics) , product (mathematics) , computer science , task (project management) , new product development , process (computing) , contrast (vision) , risk analysis (engineering) , process management , operations management , management science , operations research , business , marketing , systems engineering , artificial intelligence , engineering , mathematics , geometry , operating system
A variety of systematic procedures have been proposed to manage the task of evaluating potential new products at various stages of the development process. Kenneth Baker and Gerald Albaum have chosen to contrast the performance of several different types of screening models using the actual evaluations of 86 new product managers employed by 76 Fortune 500 companies. Managers were briefed on six lighting products actually developed by another manufacturer, and they evaluated all six products using 33 criteria. The screening models were used to predict the success or failure of each of the product concepts, and these predictions were compared to the actual results experienced by the original manufacturer. Thus, the study provides insights on the accuracy of screening models.