Envisioning the emergence of a new technological paradigm involves several issues, spanning from strategic assessments and managerial actions to design decisions and technology related choices. The present study focuses on this latter perspective, by proposing a model that estimates the success probability of innovative products as a function of design actions. The focus on the design decisions that underlie radical shifts is not conflicting, but complementary to the more traditional perspectives. The model is based on a database of past successful and unsuccessful innovations, which are used to build a logistic regression model, whose evidences can assist both designers and managers. The former get advice on how specific design choices affect product perception, while the latter are supported in addressing resources to the most promising projects.
|Titolo:||A Decision Support Model to Assess Technological Paradigms|
|Data di pubblicazione:||2019|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1504/IJTM.2019.10021436|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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