Innovation efficiency: a bibliometric review and future research agenda

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 27 citations exist upstream.