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Innovation efficiency: a bibliometric review and future research agenda

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  • Juying Zeng
  • Domingo Ribeiro-Soriano
  • Jun Ren

Abstract

Innovation efficiency has become a phenomenon of global interest. This paper reviews 165 articles from academic journals of innovation efficiency, applies the data-driven text mining approach to map major streams of research and identifies widely used theories, contexts, and methods. With the evolution of innovation behaviours and research context, the literature is mainly classified to innovation, innovation efficiency, and green innovation. By investigating definition evolution, research contents, and determinants of innovation efficiency, the paper also provides the main approaches for investigation are data envelopment analysis, stochastic frontier analysis, and Malmquist index. The paper highlights the need for interdisciplinary approaches to transcend the boundaries. Development and adoption of network interaction, regulation policy effects evaluation, time-varying investigation, the use of multi-level methods, and consideration of unexplored indicators for various contexts are among the recommendations for future research.

Suggested Citation

  • Juying Zeng & Domingo Ribeiro-Soriano & Jun Ren, 2021. "Innovation efficiency: a bibliometric review and future research agenda," Asia Pacific Business Review, Taylor & Francis Journals, vol. 27(2), pages 209-228, March.
    • Handle: RePEc:taf:apbizr:v:27:y:2021:i:2:p:209-228
    DOI: 10.1080/13602381.2021.1858591
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    Citations

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    Cited by:

    1. Vassilis Kanellopoulos & Kostas Tsekouras, 2023. "Innovation efficiency and firm performance in a benchmarking context," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 137-151, January.
    2. Xueling Guan & Lijiang Chen & Qing Xia & Zhaohui Qin, 2022. "Innovation Efficiency of Chinese Pharmaceutical Manufacturing Industry from the Perspective of Innovation Ecosystem," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    3. Yi Ji & Hechang Cai & Zilong Wang, 2023. "Impact of Industrial Synergy on the Efficiency of Innovation Resource Allocation: Evidence from Chinese Metropolitan Areas," Land, MDPI, vol. 12(1), pages 1-16, January.
    4. Bresciani, Stefano & Puertas, Rosa & Ferraris, Alberto & Santoro, Gabriele, 2021. "Innovation, environmental sustainability and economic development: DEA-Bootstrap and multilevel analysis to compare two regions," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    5. Abd Hadi Mustaffa & Nur Zahidah Bahrudin & Zahariah Sahudin & Hasni Abdullah & Muhammad Ridzuan Abdul Aziz, 2023. "What have we Learned from Firm Efficiency Research for the Past 35 Years? A Bibliometric Analysis," Information Management and Business Review, AMH International, vol. 15(1), pages 216-227.
    6. Sohail, Kanza & Belitski, Maksim & Castro Christiansen, Liza, 2023. "Developing business incubation process frameworks: A systematic literature review," Journal of Business Research, Elsevier, vol. 162(C).
    7. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Dana, Léo-Paul, 2022. "Religion as a social shaping force in entrepreneurship and business: Insights from a technology-empowered systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. German Blanco & Rajeev K. Goel, 2023. "Do weak institutions undermine global innovation production efficiency?," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1813-1838, October.

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