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Factors affecting the strategic design of open innovation and performance using fuzzy Delphi in the interpretive structural model framework | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 3، دوره 15، شماره 6، شهریور 2024، صفحه 31-42 اصل مقاله (375.96 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.30642.4456 | ||
| نویسندگان | ||
| Mohammad Heydari Maybodi1؛ Hassan Dehghan Dehnavi* 1؛ Mozhde Rabbani2؛ Mohammad Reza Dehghani Ashkazari2 | ||
| 1Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran | ||
| 2Department of Management, Yazd Branch, Islamic Azad University, Yazd, Iran | ||
| تاریخ دریافت: 17 دی 1401، تاریخ بازنگری: 24 اردیبهشت 1402، تاریخ پذیرش: 30 اردیبهشت 1402 | ||
| چکیده | ||
| The present study aimed to identify the factors affecting the strategic design of open innovation and performance in small and medium enterprises. This study was applied in terms of objective and was descriptive-exploratory and mixed in terms of the data collection method. The method used in the present study was conducted in three steps. The first step was the use of qualitative content analysis and the reliability method was used to measure validity. The obtained result was the initial conceptual framework of the factors affecting the strategic design of open innovation and performance. In the second step, the effective factors obtained by the experts were approved in two phases of the Fuzzy Delphi technique. The population of eight scientific-practical experts such as the experts of small and medium enterprises in Yazd province were selected by theoretical sampling, judgmental, and snowball techniques. In the third step, the objective model of the experts was extracted and the content relationship and leveling of effective factors were conducted based on the interpretative structural modeling technique by 22 experts. Based on the analysis of the given opinions, all factors were identified and levelled in intra-organizational (14 factors), extra-organizational (12 factors) and hybrid (5 factors). Based on the analysis conducted in the intra-organizational dimension of organizational culture, organizational strategy, financial resources in the framework of extra-organizational organizations, economic factors, laws and regulations and in the framework of hybrid factors to the inside and outside of the organization, the factors of business space, strategic coordination, and joint venture have more significance and driving forces in affecting the strategic design of open innovation and performance. | ||
| کلیدواژه‌ها | ||
| Factors affecting the strategic design of open innovation and performance؛ qualitative analysis method؛ Fuzzy Delphi؛ interpretive structural modeling technique؛ small and medium enterprises | ||
| مراجع | ||
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[1] F. Almeida, Open-innovation practices: Diversity in Portuguese SMEs, J. Open Innov.: Technol. Market Complex. 7 (2021), no. 3, 169. [2] M. Ayne, M. Mokhtari, M. Hosseinpour and M. Azami, Designing an open innovation model with an entrepreneurial development approach, Village Quart. Sustain. Space Dev. 3 (2022), no. 1, 81–100. [3] M. Bakhsham, H. Karimi and M. Hosseinpour, Identify open innovation challenges in small and medium-sized businesses based on the stages of innovation projects, Sci. Technol. Policy Lett. 12 (2022), no. 2, 44–63. [4] O. Carrasco-Carvajal, M. Castillo-Vergara and D. Garcıa-Perez-de-Lema, Measuring open innovation in SMEs: an overview of current research, Rev. Manag. Sci. 17 (2023), no. 2, 397–442. [5] L.H. Chen and H.W. Lin, The preference order of fuzzy numbers, Comput. Math. Appl. 44 (2002), 1455–1465. [6] S.M. Cheng and J.H. Chen, Fuzzy risk analysis based on the ranking of generalized fuzzy numbers with different heights and different spreads, Expert Syst. Appl. 36 (2009), 6833–6842. [7] H.W. Chesbrough, Open innovation: The new imperative for creating and profiting from technology, Harvard Business Press, 2003. [8] H. Chesbrough, Open innovation: A new paradigm for understanding industrial innovation, H. Chesbrough, W. Vanhaverbeke and J. West (eds.), Open innovation: Researching a new paradigm, Oxford: Oxford University Press, 2006. [9] H. Chesbrough and M. Bogers, Explicating open innovation: Clarifying an emerging paradigm for understanding innovation, H. Chesbrough, W. Vanhaverbeke and J. West, (eds.), New frontiers in open innovation, Oxford: Oxford University Press, Forthcoming, 2014. [10] J.C.F. de Melo, M.S. Salerno, J.S. Freitas, R.B. Bagno and V.C. Brasil, Reprint of: From open innovation projects to open innovation project management capabilities: A process-based approach, Int. J. Project Manag. 39 (2021), no. 2, 170–182. [11] V. Delshab, M. Winand, S. Sadeghi Boroujerdi, L. Hoeber and A. Mahmoudian, The impact of knowledge management on performance in nonprofit sports clubs: The mediating role of attitude toward innovation, open innovation, and innovativeness, Eur. Sport Manag. Quart. 22 (2022), no. 2, 139–160. [12] S. Grandhi, Open innovation’s impact on performance: A case of an Indian IT cluster, Doctoral dissertation, RMIT University, 2019. [13] A. Hakkaki, M. Shafii and M. Bidkham, 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] S. Liao, L. Fu and Z. Liu, Investigating open innovation strategies and firm performance: the moderating role of technological capability and market information management capability, J. Bus. Industr. Market. 35 (2020), no. 1. [15] Y. Liu, A. van Marrewijk, E.J. Houwing and M. Hertogh, The co-creation of values-in-use at the front end of infrastructure development programs, Int. J. Proj. Manag. 37 (2023), 684–695. [16] C.M. Lopes, A. Scavarda, L.F. Hofmeister, A.M.T. Thome and G.L.R. Vaccaro, An analysis of the interplay between organizational sustainability, knowledge management, and open innovation, J. Clean. Prod. 142 (2017), 476–488. [17] C. Lu, Y. Qi and S. Hao, Enhancing innovation performance of SMEs through open innovation and absorptive capacity: the moderating effect of business model, Technol. Anal. Strat. Manag. (2023), 1-17. https://doi.org/10.1080/09537325.2023.2177827 [18] J. Mashayekh, H. Tabatabaian, M. Amiri and M. Mehrdad, Effect of external background factors on the adoption of open innovation by emphasizing the sector characteristics: Evidence from enterprises in the advanced materials sector in Iran, Innov. Manag. Quart. 5 (2016), no. 2, 1–31. [19] K. Mathiyazhagan, K. Govindan, A. NoorulHaq and Y. Geng, An ISM approach for the barrier analysis in implementing green supply chain management, J. Clean. Product. 47 (2013), 283–297. [20] S. Mignon, C. Ayerbe, S. Dubouloz, M. Robert and J. West, Managerial innovation and management of open innovation, J. Innov. Econ. Manag. 32 (2020), no. 2, 3–12. [21] M.M. Naqshbandi and Y. Kamel, Intervening role of realized absorptive capacity in organizational culture–open innovation relationship: Evidence from an emerging market, J. Gen. Manag. 42 (2017), no. 3, 5–20. [22] 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. [23] A. Radziwon and M. Bogers, Open innovation in SMEs: Exploring inter-organizational relationships in an ecosystem, Technol. Forecast. Soc. Change 146 (2019), 573–587. [24] H. Razavi, Effect of internationalization of small and medium enterprises on innovation, Quarterly J. New Res. Approaches Manag. Account. 3 (2019), no. 11, 1–19. [25] B. Sanchez, L.J. Belmonte-Urena, J.A. Plaza-Ubeda, D. Vazquez-Brust, N. Yakovleva and M. Perez-Valls, Open innovation for sustainability or not: Literature reviews of global research trends, Sustainability 13 (2021), no. 3, 1136. [26] 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. [27] D. Schepis, S. Purchase and B. Butler, Facilitating open innovation processes through network orchestration mechanisms, Industr. Market. Manag. 93 (2021), 270–280. [28] A. Schroll and A. Mild, A critical review of empirical research on open innovation adoption, J. Betriebswirtschaft 62 (2013), no. 2, 85–118. [29] G.H. Sibhato, The impact of open innovation practice on innovative performance through intellectual capital: Empirical study on SMEs, Afr. J. Bus. Manag. 12 (2018), no. 20, 609–619. [30] S.K. Singh, S. Gupta, D. Busso and S. Kamboj, Top management knowledge value, knowledge sharing practices, open innovation and organizational performance, J. Bus. Res. 128 (2019), 788–798. [31] C. Troise, D. Matricano and M. Sorrentino, Open innovation platforms: Exploring the importance of knowledge in supporting online initiatives, Knowledge Manag. Res. Practice 19 (2021), no. 2, 208–216. [32] Y. Vakil Alroaia, Open innovation and SMEs: Providing a model for business development (an application on Iranian industrial park), J. Appl. Res. Industr. Eng. 10 (2023), no. 1, 125–140. [33] A. Zarei, M. Eshaghi and F. Farrokhizadeh, Effect of open innovation factors on organizational strategy and performance (case study: District 1, Tehran municipality), Industr. Technol. Dev. Quart. 19 (2021), no. 46, 15–30. | ||
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