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Industry and Innovation· 2016Q1

The open innovation research landscape: established perspectives and emerging themes across different levels of analysis

Marcel Bogers, Ann‐Kristin Zobel, Allan Afuah, Esteve Almirall et al.

Short summary

Open innovation research, originally focused on the organizational level, needs to be studied across multiple levels of analysis to advance the field.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Open innovation research needs to move beyond a sole organizational-level focus.
  • Future research should analyze open innovation across multiple levels of analysis.
  • An integrative framework is proposed for comparing and contrasting different OI perspectives.
  • New research categories and questions are suggested to connect previously isolated research domains.

AI-generated from the title and abstract; the full text is not read.

Abstract

This paper provides an overview of the main perspectives and themes emerging in research on open innovation (OI). The paper is the result of a collaborative process among several OI scholars - having a common basis in the recurrent Professional Development Workshop on Researching Open Innovation' at the Annual Meeting of the Academy of Management. In this paper, we present opportunities for future research on OI, organised at different levels of analysis. We discuss some of the contingencies at these different levels, and argue that future research needs to study OI - originally an organisational-level phenomenon - across multiple levels of analysis. While our integrative framework allows comparing, contrasting and integrating various perspectives at different levels of analysis, further theorising will be needed to advance OI research. On this basis, we propose some new research categories as well as questions for future research - particularly those that span across research domains that have so far developed in isolation.

The authors' abstract, as published at the source. Industry and Innovation, 2016 · DOI ↗

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Field: Computer Science Applications

Computer Science ApplicationsComputer Science