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RETRACTED ARTICLE: The relationship between open technological innovation, intellectual property rights capabilities, network strategy, and AI technology under the Internet of Things

Author

Listed:
  • Tao Liu

    (East China Normal University)

  • Zhongyang Yu

    (Shanghai Vonechain Information Technology Co)

Abstract

The problems faced by the open technological innovation of China’s new ICT (information and communications technology) industry under IoT (Internet of Things) technology are expected to be analyzed to improve the overall innovation ability and ensure the sustainable development of related industries. An evaluation model is constructed for open technological innovation in the IoT industry by analyzing the development of IPR (Intellectual Property Rights) management, network strategy, and AI (artificial intelligence) technology under the development of IoT technology. Meanwhile, IBM SPSS Statistics 20.0 and IBM SPSS Amos 19.0 are used to analyze the data information of 306 enterprises in the information technology industry. Besides, the proposed hypotheses are verified by factor analysis, multiple regression, and Back Propagation Neural Network. Finally, a new evaluation index system is constructed for open technological innovation in the new ICT industry. The development of IoT technology provides a primary guarantee for the open technological innovation of the new ICT industry, and the network strategy has the greatest influence on the internal knowledge output mode. Besides, the experimental results indicate that the IoT and artificial intelligence have a critical display value for the open technological innovation of the emerging ICT industry, with the highest weight ratio of 48.25%. This result demonstrates that artificial intelligence is positively correlated with the external input information. Intellectual property management is a crucial guarantee of open technology innovation in the ICT industry. The evaluation model of open technological innovation in the ICT industry has good performance through case analysis, with the highest accuracy of 91.25%. Therefore, the evaluation index system reported here can reflect the important factors affecting the development of innovative technology, which can provide a theoretical basis and practical value for improving the existing open technology innovation system.

Suggested Citation

  • Tao Liu & Zhongyang Yu, 2022. "RETRACTED ARTICLE: The relationship between open technological innovation, intellectual property rights capabilities, network strategy, and AI technology under the Internet of Things," Operations Management Research, Springer, vol. 15(3), pages 793-808, December.
    • Handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-021-00242-8
    DOI: 10.1007/s12063-021-00242-8
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    References listed on IDEAS

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    1. Ferraris, Alberto & Bogers, Marcel L.A.M. & Bresciani, Stefano, 2020. "Subsidiary innovation performance: Balancing external knowledge sources and internal embeddedness," Journal of International Management, Elsevier, vol. 26(4).
    2. Grimaldi, Michele & Greco, Marco & Cricelli, Livio, 2021. "A framework of intellectual property protection strategies and open innovation," Journal of Business Research, Elsevier, vol. 123(C), pages 156-164.
    3. Javad Sofiyabadi & Davood Feiz & Bahare Kolahi, 2020. "Ambidexterity and sustainable balanced performance in knowledge-based organisations: investigating the role of open innovation," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 14(4), pages 489-509.
    4. Lin, Shoufu & Lin, Ruoyun & Sun, Ji & Wang, Fei & Wu, Weixiang, 2021. "Dynamically evaluating technological innovation efficiency of high-tech industry in China: Provincial, regional and industrial perspective," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    5. Ruan, Xuanmin & Zhu, Yuanyang & Li, Jiang & Cheng, Ying, 2020. "Predicting the citation counts of individual papers via a BP neural network," Journal of Informetrics, Elsevier, vol. 14(3).
    6. Muhammad Imran Qureshi & Shazia Parveen & Iqra Abdullah & Léo-Paul Dana, 2021. "Reconceptualizing the interventions of open innovation systems between the nexus of quadruple organization cultural dynamics and performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1661-1681, October.
    7. Vecchiato, Riccardo, 2020. "Analogical reasoning, cognition, and the response to technological change: Lessons from mobile communication," Research Policy, Elsevier, vol. 49(5).
    8. Pustovrh, Ales & Rangus, Kaja & Drnovšek, Mateja, 2020. "The role of open innovation in developing an entrepreneurial support ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    9. Qianli Yuan & Mila Gasco-Hernandez, 2021. "Open innovation in the public sector: creating public value through civic hackathons," Public Management Review, Taylor & Francis Journals, vol. 23(4), pages 523-544, April.
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