Key knowledge management processes for innovation: a systematic literature review

Author:

Costa Vítor,Monteiro Samuel

Abstract

Purpose The purpose of this paper is to review current literature on knowledge management processes considering the relationship between the key knowledge processes of acquisition, sharing, storage, codification, creation, application and different types of innovation, through a systematic literature review. Design/methodology/approach This study follows systematic review protocols for management and organisational sciences and analyses 45 full papers on knowledge management processes and innovation. Findings Results not only show that all knowledge processes can directly support innovation but also that other organisational variables (e.g. organisational learning, absorptive capacity) mediate this relationship. Moreover, knowledge creation and knowledge application appear as two central processes through which knowledge acquisition, sharing, codification and storage influence innovation. Knowledge acquisition and knowledge sharing are the most frequently studied knowledge processes. The majority of the sample papers present traditional innovation definitions (product vs process, radical vs incremental and technical vs administrative). However, organisational innovation, innovation capability and innovation performance approaches emerge from the papers’ analysis. Research limitations/implications The present review includes major scientific papers; however, the search is limited to the Web of ScienceTM platform. Originality/value This literature review analyses high-quality, peer-reviewed papers, following a systematic methodology that can be tested and updated. Papers were divided based upon the knowledge process(es) being analysed and the innovation type/approach, providing a twofold contribution to knowledge management and innovation literature.

Publisher

Emerald

Subject

Management of Technology and Innovation,Library and Information Sciences,Computer Networks and Communications,Computer Science Applications,Information Systems

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