Abstract

The patent portfolio affects the research and development (R&D) decisions of artificial intelligence enterprises, and provides rights protection for the enterprise’s product market, which is of great practical significance for the realization of innovation performance. The aim of this paper is to discover how the patent portfolio of artificial intelligence enterprises affects the relationship between R&D intensity and innovation performance. Based on the panel data of 164 listed enterprises in the A-share artificial intelligence concept sector of China, using the panel fixed effect regression method, the impact of R&D intensity on innovation performance was analyzed, and the moderating effect of the three dimensions of the patent portfolio on the two was examined. Studies have shown that the impact of R&D intensity on innovation performance is in an inverted U-shaped relationship. In addition, the diversity characteristics of the patent portfolio have a moderating effect on the relationship between R&D intensity and innovation performance, and when the enterprise is at a high level of diversity, the two have a U-shaped flip relationship. The size of the patent portfolio has a positive impact on innovation performance. The research results have theoretical and practical significance for the implementation of effective R&D management in artificial intelligence enterprise organizations.

Highlights

  • With the continuous and in-depth development of economic globalization and social informatization, a new technological revolution is gaining momentum

  • Intensity (RD) and innovation performance (TB) is significantly positive (0.376), which initially shows the positive return of research and development (R&D) intensity on innovation performance

  • Based on the data of A-share artificial intelligence sector of Shenzhen and Shanghai in 2014–2018, this study explores the impact of R&D intensity on enterprises innovation performance and the moderating role of the patent portfolio between them

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Summary

Introduction

With the continuous and in-depth development of economic globalization and social informatization, a new technological revolution is gaining momentum. As an essential driving force for a new round of technological revolution and industrial transformation, artificial intelligence is profoundly changing the world. According to the “China’s New. Generation Artificial Intelligence Technology Industry Development Report” released in. 2019, as of February 2019, there were 745 local artificial intelligence enterprises in China, ranking second in the world [1]. Enterprises’ Artificial Intelligence Patent Application Strategy” issued by Tsinghua, it is pointed out that China’s artificial intelligence patent layout has surpassed the United States and Japan, becoming the country with the most patents in the global artificial intelligence field [2]. As a knowledge-intensive enterprise, artificial intelligence enterprises’ research and development (R&D) activities are their primary ways to gain core competitiveness and innovative advantages.

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