A conceptual model for open innovation risk management based on the capabilities of SMEs: A multi-level fuzzy MADM approach

Foroogh Farjam, Payam Shojaei and Kazem Askarifar

Technovation, 2023, vol. 127, issue C

Abstract: Open innovation represents a significant strategy that could help to overcome the complexity of today's markets. This practice contributes to the survival and sustainability of organizations, especially in developing countries. The purpose of this study is to propose a model that relies on the capabilities of Small and Medium Enterprises (SMEs) to manage the open innovation risks. To accomplish this, the study identified the risks of open innovation by exploring the literature and conducted the content validity on the metal, chemical and food industries in Iran. Firstly, the factors were broken into risks and underlying causes of risks. Next, through the Best-worst method (BWM), risks were prioritized so that the lack of trust among partners and high costs of coordination were the most important risks. Secondly, the Fuzzy TODIM (an acronym in Portuguese for Interactive and Multicriteria Decision Making) method was used at two levels. The results of this leveling showed that the lack of internal commitment and the inability to adapt to technological advancement were two important underlying factors. Finally, among capabilities of SMEs, the result-oriented management and the employees’ commitment to learning left the greatest impacts on risk reduction. This proposed model and accomplishments can help managers of SMEs to significantly reduce risks associated with open innovation by relying on the capabilities such enterprises possess.

Keywords: Open innovation (OI); Small and medium enterprises capabilities; Fuzzy TODIM; Risk; Best-worst method (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:127:y:2023:i:c:s0166497223001554

DOI: 10.1016/j.technovation.2023.102844

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