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Incremental Innovation versus Discontinuous Innovation

An Analysis of the Fuzzy Front End

Bibliographic Data

ID11634294
AuthorsJovany Uribe Ocampo (0000-0002-5382-4543, Universidad San Pedro, corresponding author), Paulo Carlos Kaminski (0000-0001-6917-7208, Universidade de São Paulo)
Year2023
Volume34
Issue92
Publication date2023-08-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInnovar (JOURNAL)
Journal identifiersISSN: 0121-5051 • E-ISSN: 2248-6968
PublisherUniversidad Nacional de Colombia (PUBLISHER • CO)
DOI10.15446/innovar.v34n92.101160
OpenAlexW4387103767
LanguageEN
References cited62

Companies innovate to increase revenues or reduce costs. The literature identifies two types of innovation approaches: incremental innovation, when an enterprise uses and “exploits” its current competencies, and radical innovation, which points out a company’s need to develop and “explore” new competencies. In product design and development through discontinuous innovation, fuzzy front end (ffe)— the most critical stage due to the difficulty of understanding and articulating the opportunities detected—has a decisive impact. Thus, through literature analysis, this reflective article allows a deeper understanding of ffe from two dimensions: i) Degree of innovation—incremental innovation vs. discontinuous innovation— and ii) Time—a project stage. To that end, we propose a framework of reference for ffe construct. The results enable academia to reduce the gap around the ffe construct and companies involved in innovation projects to better understand the nature of a project according to the degree of innovation of a new product, as well as how to proceed in order to reduce uncertainties; insights that could ultimately increase the chances of a new product becoming successful

Business · Construct (python library · Exploit · Front and back ends · Fuzzy logic · Innovation Management · Knowledge management · New product development · Order (exchange · Process management · Product (mathematics · Product innovation · Revenue · Computer Science · Innovation and Knowledge Management · Marketing · Mathematics · Product Development and Customization · Sustainable Supply Chain Management

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Highly citedNo

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