Identifying and analyzing open innovation strategies and providing a relative model in small and medium-sized manufacturing enterprises using fuzzy cognitive mapping (FCM) technique

Document Type : Research Paper


1 Department of Industrial Management, Yazd Branch, Islmic Azad University, Yazd, Iran

2 Department of Management, Yazd Branch, Islamic Azad University, Yazd, Iran


Today, globalization, the growth of technological complexity and environmental changes have encouraged the organization to change their attitude from closed innovation to open innovation and prioritize open innovation as a developing approach to gain competitive advantage. This study identifies and analyzes open innovation strategies and provides a model for that in small and medium-sized manufacturing enterprises. This research is practical in terms of purpose and descriptive survey in data collection and mixed in the method. First, effective factors were identified according to the literature review and confirmed by 15 experts in the field of innovation. Then, a matrix questionnaire was prepared and given to 83 experts of small and medium-sized manufacturing enterprises in Yazd city in Iran. Data analysis was done using Fuzzy Cognitive Mapping (FCM) techniques, and the final model was depicted using social networks. The findings related to analyzing data obtained from the experts' opinions indicate that the strategies of external relationships, internal relationships, support infrastructure systems, and technology absorption are more central than other ones because the effectiveness and susceptibility of these strategies are more than other factors. Thus, these strategies should be more emphasized.


[1] M. Abbaszadeh, A reflection on validity and reliability in qualitative research, Appl. Socio. Res. J. 23 (2012), no. 1, 19–34.
[2] F. Almeida, Open-innovation practices: Diversity in Portuguese SMEs, J. Open Innov.: Tech. Market Complexity 7 (2021), no. 3, 169.
[3] H. Arabzadeh, Identification and analysis of factors affecting the realization of open innovation in Shahid university collaborative research, Master’s thesis, Shahid University, 2019.
[4] A. Asada, M.F. Basheerb, M. Irfanc, J. Jiangd and R. Tahir, Open-innovation and knowledge management in small and medium-sized enterprises (SMEs): The role of external knowledge and internal innovation, Rev. Argentina Clın. Psico. 29 (2020), no. 4, 80–90.
[5] B. Aytac and S.D. Wu, Characterization of demand for short life-cycle technology products, Annals Operat. Res. 203 (2013), no. 1, 255–277.
[6] M. Babaei, A. Amindost and A.R. Shekarchizadeh, Designing an open innovation model in small and medium-sized
enterprises using a mixed approach, Public Manag. Res. 12 (2018), no. 44, 209–235.
[7] M. Bakhsham, H. Karimi and M. Hosseinpour, Identifying the challenges of open innovation in small and mediumsized businesses based on the stages of innovation projects, Sci. Tech. Policy Lett. 12 (2022), no. 2.
[8] A. Bazargan Harandi, Mixed research method: A superior approach for management studies, Manag. Knowledge Quart. 21 (2007), no. 81, 19–36.
[9] B. Bigliardi, G. Ferraro, S. Filippelli and F. Galati, The past, present and future of open innovation, Eur. J. Innov. Manag. 24 (2020), no. 4, 1130–1161.
[10] H.W. Chesbrough, Open innovation: The new imperative for creating and profiting from technology, Harvard Business Press: Brighton, MA, USA, 2003.
[11] H.W. Chesbrough, Open innovation, new paradigm of technology creation and commercialization, Translated by S.K. Bagheri and M. Shawardi, Tehran: Rasa Publications, 2012.
[12] M. Crema, C. Verbano and K. Venturini, Linking strategy with open innovation and performance in SMEs, Measur. Bus. Excel. 18 (2014), no. 2, 14–27.
[13] A. Hakaki, M. Shafiei and M. Bidkham, Presenting a multi-level structural model for the successful implementation of open innovation, Quart. J. Innov. Manag. Defense Organ. 4 (2021), no. 11, 107–130.
[14] M. Hossain and I. Kauranen, Open innovation in SMEs: A systematic literature review, J. Strategy Manag. 9 (2016), no. 1, 58–73.
[15] M. Jamipour, S.M.B. Jafari and N. Najafi, A framework of open innovation implementation success factors using a meta-composite approach, Technol. Dev. Manag. Quart. 2019 (2019), no. 2, 77–115.
[16] H. Khosropour, K. Faizi and S.K. Tabaian, Reviewing and ranking the factors affecting the application of the open innovation approach in Iran’s aviation industry, Innov. Manag. J. 2 (2013), no. 4, 1–26.
[17] B. Kosko, Adaptive inference in fuzzy knowledge networks, Proc. 1st Int. Conf. Neural Networks 2 (1987), 261–268.
[18] J. Leitao, D. Pereira and S.D. Brito, Inbound and outbound practices of open innovation and eco-innovation: Contrasting bioeconomy and non-bioeconomy firms, J. Open Innov.: Tech. Market Complexity 6 (2020), no. 4, 145.
[19] J.M. Lopes, S. Gomes, J. Oliveira and M. Oliveira, The role of open innovation, and the performance of European union regions, J. Open Innov. Technol. Mark. Complex. 7 (2021).
[20] M. Manteghi, A. Toloui and B. Moshiri, Investigating the success factors of open innovation medium companies (a case study of the country’s nanotechnology companies network), Innov. Manag. Sci.-Res. J. 2 (2012), no. 2, 25–44.
[21] A.S. Molai, B. Shirazi and J. Soltanzadeh, Integration of customers in the preparation of innovation using open innovation approach: Production and selection of innovative product ideas, Rushd Technol. Quart. 12 (2015), no. 38, 47–48.
[22] U.  Ozesmi and S.L. Ozesmi, Ecological models based on people’s knowledge: A multi-step fuzzy cognitive mapping approach, Ecologic. Modell. 176 (2004), no. 1, 43–64.
[23] E.I. Papageorgiou, Review study on fuzzy cognitive maps and their applications during the last decade, IEEE Int. Conf. Fuzzy Syst., IEEE, 2011, pp. 828–835.
[24] E.I. Papageorgiou and J.L. Salmeron, A review of fuzzy cognitive maps research during the last decade, IEEE Trans. Fuzzy Syst. 21 (2013), no. 1, 66–79.
[25] Y.F. P´erez, C.C. Corona and A.F. Estrada, Fuzzy cognitive maps for evaluating software usability, Uncertainty Management with Fuzzy and Rough Sets, Springer, Cham, 2019, pp. 141–155.
[26] S. Pervan, Y. Al-Ansaari and J. Xu, Environmental determinants of open innovation in Dubai SMEs, Ind. Market. Manag. 50 (2015), 60–68.
[27] S. Popa, P. Soto-Acosta and I. Martinez-Conesa, Antecedents, moderators, and outcomes of innovation climate and open innovation: An empirical study in SMEs, Technol. Forecast. Soc. Change 118 (2017), 134–142.
[28] N. Poursadeq, Identifying and prioritizing factors affecting open innovation in the insurance industry (case study: An insurance company), Insurance Res. J. 32 (2016), no. 2, 65–84.
[29] G. Santoro, D. Vrontis, A. Thrassou and L. Dezi, The internet of things: Building a knowledge management system for open innovation and knowledge management capacity, Technol. Forecast. Soc. Change 136 (2018), 347–354.
[30] G.H. Sibhato, The impact of open innovation practice on innovative performance through intellectual capital: Empirical study on SMEs, African J. Bus. Manag. 12 (2018), no. 20, 609–619.
[31] A. Spithoven, W. Vanhaverbeke and N. Roijakkers, Open innovation practices in SMEs and large enterprises, Small Bus. Econ. 41 (2013), no. 3, 537–562.
[32] A.M. V´elez-Rol´on, M. M´endez-Pinz´on and O.L. Acevedo, Open innovation community for university–industry knowledge transfer: A Colombian case, J. Open Innov.: Tech. Market Complexity 6 (2020), no. 4, p. 181.
[33] R.N. Weerasinghe, The impact of open innovation practices and moderating effect of inter-organizational networks on innovation performance of large firms in Sri Lanka, Ann. Spiru Haret Univ. Econ. Ser. 21 (2021), no. 3, 29–58.
[34] B.R. Wikhamn and W. Wikhamn, Structuring of the open innovation field, J. Technol. Manag. Innov. 8 (2013), no. 3, 173–185.
[35] S.R. Yapa, R. Senathiraja and I. Kauranen, Improving innovation performance by convergence in open innovation: Evidence from software firms in Sri Lanka, Vidyodaya J. Manag. 4 (2018), no. 1.
Volume 14, Issue 6
June 2023
Pages 45-58
  • Receive Date: 09 June 2022
  • Revise Date: 14 August 2022
  • Accept Date: 26 August 2022