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Exploring the factors for open innovation in post-COVID-19 conditions by fuzzy Delphi-ISM-MICMAC approach

Shafqat Ullah (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Zhu Jianjun (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Khizar Hayat (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Dario Natale Palmucci (University of Turin, Turin, Italy)
Pavol Durana (Faculty of Operation and Economics of Transport and Communications, University of Zilina, Zilina, Slovakia)

European Journal of Innovation Management

ISSN: 1460-1060

Article publication date: 13 January 2023

398

Abstract

Purpose

Open innovation has attracted the attention of experts and business entities for the sustainable survivability of firms, especially in the post-COVID-19 era. The food and beverage industry has been facing sustainable survivability problems. It is important to identify and evaluate the factors of open innovation from the perspectives of the food and beverage industry. This study serves that purpose by identifying and evaluating the factors of open innovation in the post-COVID-19 era with a special reference to Pakistan's economy.

Design/methodology/approach

The present study integrates the Fuzzy Delphi Method (FDM), Interpretive Structural Modelling (ISM) and Matrice d’ Impacts Croises Multiplication Applique a Classement (MICMAC) methods to analyze the factors involved in the adoption of open innovation in the food and beverage industry in Pakistan. Firstly, based on an extensive literature review of the most relevant studies, the factors affecting open innovation have been identified and finalized using FDM and experts' opinions. Secondly, the hierarchical framework has also been prepared by implementing the ISM approach. Thirdly, the MICMAC approach was employed to evaluate the factors to examine the driving and dependence powers of the factors of open innovation adoption.

Findings

The study identified 17 factors of open innovation adoption in Pakistan's food and beverage industry and 16 factors were finalized using FDM. The ISM-MICMAC matrix unveiled that awareness seminars and training, along with a lack of executive commitments, were strong factors with high driving power, but these factors proved to be weakly dependent powers regarding the other factors. Moreover, a lack of innovation strategy, R&D and non-supportive organizational culture exhibited low driving power but strong dependent power.

Practical implications

The findings of the study could help firms and business entities understand the driving and dependent factors involved in open innovation for the sustainable survivability of the food and beverage industry. The study provides strong reasons to believe that an open innovation strategy, along with stakeholder collaboration, the adoption of rules and regulations and managerial commitment, could stimulate open innovation. Moreover, governments should promote the business sector, especially the food and beverage industry, to facilitate the sector while also providing awareness seminars and training, creating environments conducive to reducing innovation costs.

Originality/value

Some previous studies have analyzed the factors involved in green innovation from the perspective of the manufacturing industry and environmental protection. The present study is a pioneer study to examine the factors involved in the adoption of open innovation in the food and beverage industry in Pakistan from the perspective of the post-COVID-19 era. For this purpose, the present study uses an integrated Fuzzy Delphi-ISM-MICMAC approach for the analysis.

Keywords

Acknowledgements

The study is supported by the kind supervision of Prof. Zhu Jianjun and funded by the National Natural Science Foundation of China, Grant no. (71502073). The author Pavol Durana acknowledges the funding for his participation in the project NFP313011BWN6, The implementation framework and business model of the Internet of things industry 4.0 and smart transport.

Citation

Ullah, S., Jianjun, Z., Hayat, K., Palmucci, D.N. and Durana, P. (2023), "Exploring the factors for open innovation in post-COVID-19 conditions by fuzzy Delphi-ISM-MICMAC approach", European Journal of Innovation Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EJIM-10-2022-0550

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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