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      Extracting firms' R&D processes from patent data to study inbound and coupled open innovation

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      Creativity and Innovation Management
      Wiley

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          Abstract

          The paper suggests a patent‐based methodology to study the implications of inbound and coupled open innovation adoption at the project level. The input–process–output–outcome model suggested in this work allows the analysis of firms' R&D projects and can be considered as an approach to investigate how companies achieve specific outputs and outcomes starting from certain inputs and employing open innovation practices. The methodology is tested on a sample of 35,857 patents of 214 worldwide companies from three top R&D spending industries. Results show that the model is able to delineate high performing applications of open innovation. Inbound open innovation is associated with exploitation activities and produces incremental or architectural innovation, with high innovation performance in terms of technological and market success. Coupled open innovation is linked to explorative behaviours aiming at getting radical innovation, but with a limited likelihood of the technology developed to be successful, at least in the short term.

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          Most cited references120

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          Exploration and Exploitation in Organizational Learning

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            Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms

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              SOMETHING OLD, SOMETHING NEW: A LONGITUDINAL STUDY OF SEARCH BEHAVIOR AND NEW PRODUCT INTRODUCTION.

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Creativity and Innovation Management
                Creat Innov Manage
                Wiley
                0963-1690
                1467-8691
                June 2022
                April 09 2022
                June 2022
                : 31
                : 2
                : 322-339
                Affiliations
                [1 ] Department of Industrial Engineering University of Salerno Fisciano
                Article
                10.1111/caim.12495
                1155a8e5-75d9-4c32-b97c-537183945255
                © 2022

                http://creativecommons.org/licenses/by/4.0/

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