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Decision making at the front end of innovation: the hidden influence of knowledge and decision criteria
Author(s) -
Oliveira Maicon Gouvêa,
Rozenfeld Henrique,
Phaal Robert,
Probert David
Publication year - 2015
Publication title -
randd management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.253
H-Index - 102
eISSN - 1467-9310
pISSN - 0033-6807
DOI - 10.1111/radm.12058
Subject(s) - front and back ends , front (military) , decision making , process (computing) , business decision mapping , making of , knowledge management , computer science , business , management science , decision support system , engineering , artificial intelligence , marketing , mechanical engineering , purchasing , operating system , advertising
Decision making at the front end of innovation is critical for the success of companies. This paper presents a method, called decision making based on knowledge ( DeBK ), which was created to analyze the decision‐making process at the front end. The method evaluates the knowledge of project information and the importance of decision criteria, compiling a measure that indicates whether decisions are founded on available knowledge and what criteria are in fact being considered to delineate them. The potential contribution of DeBK is corroborated through two projects that faced decision‐making issues at the front end of innovation.