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Research on open innovation performance: a review

Author

Listed:
  • Shukuan Zhao

    (Jilin University)

  • Yu Sun

    (Jilin University)

  • Xiaobo Xu

    (American University of Sharjah)

Abstract

Under the economic globalization, traditional closed innovation cannot meet the demand of enterprises for shorter R&D cycle and lower R&D cost. Consequently, enterprises have paid more attentions to open innovation which is more important. Based on previous studies, this paper systematically analyzed key factors which affect the relationship between open innovation and innovation performance. We also discussed the managerial implications and risks during the open innovation implementation. Finally, we suggested several future research directions for open innovation.

Suggested Citation

  • Shukuan Zhao & Yu Sun & Xiaobo Xu, 2016. "Research on open innovation performance: a review," Information Technology and Management, Springer, vol. 17(3), pages 279-287, September.
    • Handle: RePEc:spr:infotm:v:17:y:2016:i:3:d:10.1007_s10799-015-0231-7
    DOI: 10.1007/s10799-015-0231-7
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    References listed on IDEAS

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    2. Julio Diéguez-Soto & María J. Martínez-Romero, 2019. "Family Involvement in Management and Product Innovation: The Mediating Role of R&D Strategies," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    3. Patricia P. Iglesias-Sánchez & Pilar López-Delgado & Marisol B. Correia & Carmen Jambrino-Maldonado, 2020. "How do external openness and R&D activity influence open innovation management and the potential contribution of social media in the tourism and hospitality industry?," Information Technology & Tourism, Springer, vol. 22(2), pages 297-323, June.
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    5. Jie Tang & Wenyue Cui, 2024. "Does the Internet trigger an innovative spatial revolution: evidence from China," Information Technology and Management, Springer, vol. 25(4), pages 305-318, December.
    6. Lopes, Ana Paula Vilas Boas Viveiros & de Carvalho, Marly Monteiro, 2018. "Evolution of the open innovation paradigm: Towards a contingent conceptual model," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 284-298.
    7. Liping Wu & Kai Hu & Oleksii Lyulyov & Tetyana Pimonenko & Ishfaq Hamid, 2022. "The Impact of Government Subsidies on Technological Innovation in Agribusiness: The Case for China," Sustainability, MDPI, vol. 14(21), pages 1-15, October.
    8. Seong-Taek Park & Jae-Rim Jung & Chang Liu, 2020. "A study on policy measure for knowledge-based management in ICT companies: focused on appropriability mechanisms," Information Technology and Management, Springer, vol. 21(1), pages 1-13, March.
    9. Dziurski Patryk & Sopińska Agnieszka, 2020. "Does industry matter? Drivers and barriers for open innovation in high-tech and non-high-tech industries—Evidence from Poland," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 56(4), pages 307-323, December.
    10. Fotis Kitsios & Maria Kamariotou & Evangelos Grigoroudis, 2021. "Digital Entrepreneurship Services Evolution: Analysis of Quadruple and Quintuple Helix Innovation Models for Open Data Ecosystems," Sustainability, MDPI, vol. 13(21), pages 1-15, November.
    11. Greco, Marco & Grimaldi, Michele & Cricelli, Livio, 2017. "Hitting the nail on the head: Exploring the relationship between public subsidies and open innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 213-225.
    12. Pan Wang & Sohail Chaudhry & Li Da Xu, 2016. "Introduction: Advances in e-business engineering and management," Information Technology and Management, Springer, vol. 17(3), pages 199-201, September.
    13. Greco, Marco & Grimaldi, Michele & Locatelli, Giorgio & Serafini, Mattia, 2021. "How does open innovation enhance productivity? An exploration in the construction ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 168(C).

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