Open Access
Issue
RAIRO-Oper. Res.
Volume 55, Number 6, November-December 2021
Page(s) 3339 - 3357
DOI https://doi.org/10.1051/ro/2021161
Published online 15 November 2021
  • F. Altuntas and M.S. Gök, Technological evolution of wind energy with social network analysis. Kybernetes 50 (2021) 1180–1211. [Google Scholar]
  • F. Altuntas and M.S. Gök, Analysis of patent documents with utility mining: a case study of wind energy technology. Kybernetes 50 (2020) 2548–2582. [Google Scholar]
  • N.A.H. Abdullah, A.H. Ahmad, N. Zainudin and R.M. Rus, Modelling small SMEs’ failure in Malaysia. Int. J. Entrepreneurship Small Bus. 28 (2016) 101–116. [Google Scholar]
  • A. Bajracharya, Public transportation and private car: a system dynamics approach in understanding the mode choice. IJSDA 5 (2016) 1–18. [Google Scholar]
  • M. Bogers, H. Chesbrough and C. Moedas, Open innovation: research, practices, and policies. California Manage. Rev. 60 (2018) 5–16. [Google Scholar]
  • M. Bogers, N.J. Foss and J. Lyngsie, The human side of open innovation: the role of employee diversity in firm-level openness. Res. Policy 47 (2018) 218–231. [Google Scholar]
  • S. Bouamama, C. Blum and J.G. Fages, An algorithm based on ant colony optimization for the minimum connected dominating set problem, Appl. Soft Comput. 80 (2019) 672–686. [Google Scholar]
  • S. Brunswicker and H. Chesbrough, The adoption of open innovation in large firms: practices, measures, and risks a survey of large firms examines how firms approach open innovation strategically and manage knowledge flows at the project level. Res.-Technol. Manage. 61 (2018) 35–45. [Google Scholar]
  • S. Brunswicker and F. Ehrenmann, Managing open innovation in SMEs: a good practice example of a German software firm. IJIEM 4 (2013) 33–41. [Google Scholar]
  • B. Chang, C.W. Chang and S.H. Wu, Fuzzy DEMATEL method for developing supplier selection criteria. Expert Syst. Appl. 38 (2011) 1850–1858. [Google Scholar]
  • J.K. Chen and I.S. Chen, Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education. Expert Syst. App. 37 (2010) 1981–1990. [Google Scholar]
  • J. Chen, Y. Chen and W. Vanhaverbeke, The influence of scope, depth, and orientation of external technology sources on the innovative performance of Chinese firms. Technovation 31 (2011) 362–373. [Google Scholar]
  • Z. Chen, M. Lu, X. Ming, X. Zhang and T. Zhou, Explore and evaluate innovative value propositions for smart product service system: a novel graphics-based rough-fuzzy DEMATEL method. J. Cleaner Prod. 243 (2020) 118672. [Google Scholar]
  • H.W. Chesbrough, Open Innovation: The New Imperative for Creating and Profiting From Technology. Harvard Business Press (2003). [Google Scholar]
  • H. Chesbrough, The era of open innovation. Manage. Rev. 44 (2003) 35–41. [Google Scholar]
  • H. Chesbrough, The future of open innovation: the future of open innovation is more extensive, more collaborative, and more engaged with a wider variety of participants. Res.-Technol. Manage. 60 (2017) 35–38. [Google Scholar]
  • H. Chesbrough and A.K. Crowther, Beyond high tech: early adopters of open innovation in other industries. R&D Manage. 36 (2006) 229–236. [Google Scholar]
  • L. Dahlander and D.M. Gann, How open is innovation. Res. policy 39 (2010) 699–709. [Google Scholar]
  • J. Dufour and P.E. Son, Open innovation in SMEs – towards formalization of openness. J. Innov. Manage. 3 (2015) 90–117. [Google Scholar]
  • O. Engin and A. Güçlü, A new hybrid ant colony optimization algorithm for solving the no-wait flow shop scheduling problems. Appl. Soft Comput. 72 (2018) 166–176. [Google Scholar]
  • E. Enkel and O. Gassmann, Driving open innovation in the front end: the IBM case. In: EURAM Conference, Paris, France (2007). [Google Scholar]
  • E. Enkel, O. Gassmann and H. Chesbrough, Open R&D and open innovation: exploring the phenomenon. R&D Manage 39 (2009) 311–316. [Google Scholar]
  • D. Faems, M. De Visser, P. Andries and B. Van Looy, Technology alliance portfolios and financial performance: value-enhancing and cost-increasing effects of open innovation. J. Prod. Innov. Manage. 27 (2010) 785–796. [Google Scholar]
  • C. Feng and R. Ma, Identification of the factors that influence service innovation in manufacturing enterprises by using the fuzzy DEMATEL method. J. Cleaner Prod. 253 (2020) 120002. [Google Scholar]
  • H. Forsman and S. Temel, Innovation and business performance in small enterprises: an enterprise-level analysis. Int. J. Innov. Manage. 15 (2011) 641–665. [Google Scholar]
  • M. Freel and P.J. Robson, Appropriation strategies and open innovation in SMEs. Int. Small Bus. J. 35 (2017) 578–596. [Google Scholar]
  • C. Garca-Martnez, O. Cordón and F. Herrera, A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP. Eur. J. Oper. Res. 180 (2007) 116–148. [Google Scholar]
  • M. Gershman, V. Roud and T.W. Thurner, Open innovation in Russian state-owned enterprises. Ind. Innov. 26 (2019) 199–217. [Google Scholar]
  • M. Greco, M. Grimaldi and L. Cricelli, Benefits and costs of open innovation: the BeCO framework. Technol. Anal. Strategic Manage. 31 (2019) 53–66. [Google Scholar]
  • J. Han and A. Heshmati, Determinants of financial rewards from industry–university collaboration in South Korea. Int. J. Innov. Manage. 20 (2016) 1650075. [Google Scholar]
  • M. Heikkilä, H. Bouwman and J. Heikkilä, From strategic goals to business model innovation paths: an exploratory study. J. Small Bus. Enterp. Dev. 25 (2018) 107–128. [Google Scholar]
  • Q. Hu, S. Williams, R. Mason and P. Found, Knowledge management in consultancy-involved process improvement projects: cases from Chinese SMEs. Prod. Planning Control 30 (2019) 866–880. [Google Scholar]
  • E. Ibarra, J. Rueda and A. Arenas, Mapping of the challenges for the open innovation model’s implementation in service sector. J. Adv. Manage. Sci. 3 (2015) 354–361. [Google Scholar]
  • B. Kanso, A. Kansou and A. Yassine, Open capacitated ARC routing problem by hybridized ant colony algorithm. RAIRO: OR 55 (2021) 639–652. [Google Scholar]
  • M.M. Keupp and O. Gassmann, Determinants and archetype users of open innovation. R&D Manage. 39 (2009) 331–341. [Google Scholar]
  • S. Lee, G. Park, B. Yoon and J. Park, Open innovation in SMEs-An intermediated network model. Res. Policy 39 (2010) 290–300. [Google Scholar]
  • Y. Mehrjerdi and A. Nadizadeh, Using greedy clustering method to solve capacitated location routing problem with fuzzy demands. Eur. J. Oper. Res. 229 (2013) 75–84. [Google Scholar]
  • L. Mortara and T. Minshall, How do large multinational companies implement open innovation?. Technovation 31 (2011) 586–597. [Google Scholar]
  • A. Nadizadeh and H.H. Nasab, Solving the dynamic capacitated location-routing problem with fuzzy demands by hybrid heuristic algorithm. Eur. J. Oper. Res. 238 (2014) 458–470. [Google Scholar]
  • S. Pervan, Y. Al-Ansaari and J. Xu, Environmental determinants of open innovation in Dubai SMEs. Ind. Market. Manage. 50 (2015) 60–68. [Google Scholar]
  • D. Radicic and K. Djalilov, The impact of technological and non-technological innovations on export intensity in SMEs. J. Small Bus. Enterp. Dev. 26 (2019) 612–638. [Google Scholar]
  • 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. Forecasting Soc. Change 136 (2018) 347–354. [Google Scholar]
  • M. Shafiei Nikabadi and A. Hakaki, A dynamic model of effective factors on open innovation in manufacturing small and medium sized companies. IJSDA 7 (2018) 1–26. [Google Scholar]
  • M. Shafiei Nikabadi and A. Hakaki, A multi-dimensional causal model of effective factors on open innovation in manufacturing SMEs in Iran. IJABIM 10 (2019) 91–110. [Google Scholar]
  • M. Shafiei Nikabadi and A. Hakaki, Mutual relationship between supply chain, business strategy, and knowledge management in supply chain. In: Dynamic Perspectives on Globalization and Sustainable Business in Asia. IGI Global Press (2019). [Google Scholar]
  • M. Smith, M. Busi, P. Ball and R. Van der Meer, Factors influencing an organisation’s ability to manage innovation: a structured literature review and conceptual model. Int. J. Innov. Manage. 12 (2008) 655–676. [Google Scholar]
  • A. Spithoven, W. Vanhaverbeke and N. Roijakkers, Open innovation practices in SMEs and large enterprises. Small Bus. Econ. 41 (2013) 537–562. [Google Scholar]
  • A. Stucki, Internal and external factors influencing the implementation and diffusion of the open innovation models: the case of the postal sector. In: Proceedings of the 3rd Global Postal Research and Education Network Conference, Lausanne, Switzerland (2009). [Google Scholar]
  • W. Vanhaverbeke, N. Roijakkers, A. Lorenz and H. Chesbrough, The Importance of Connecting Open Innovation to Strategy. Springer Press (2017). [Google Scholar]
  • W.W. Wu and Y.T. Lee, Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Syst. App. 32 (2007) 499–507. [Google Scholar]

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