Exploring the nonlinear effects of patent H index,patent citations,and essential technological strength on corporate performance by using artificial neural network |
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| Authors: | Sifei Zhang Chien-Chung Yuan Ke-Chiun Chang Yun Ken |
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| Institution: | 1. Institute for the Development of Central China, Wuhan University, Wuhan, China;2. Department of Business Administration, National Yunlin University of Science & Technology, Yunlin, Taiwan;3. School of Economics and Management, Wuhan University, Wuhan 430072, China;1. Visualization and Interactive Systems Institute, University of Stuttgart, Germany;2. University of Wisconsin Madison, USA;3. Pompeu Fabra University, Spain;4. Catalan Institute for Research and Advanced Studies, Spain;5. Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany;1. Department of Business Administration, Chaoyang University of Technology, Taichung, 41349, Taiwan;2. Department of Information Management, Chaoyang University of Technology, Taichung, 41349, Taiwan;3. Department of Management Sciences, Tamkang University, New Taipei City, 251301, Taiwan;4. Department of Marketing and Logistics Management, Chaoyang University of Technology, Taichung, 41349, Taiwan;1. Institute of Management of Technology National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu 300 Taiwan;2. Graduate Institute of Technology Management, National Chung Hsing University, 250 KuoKuang Road, Taichung 402, Taiwan |
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| Abstract: | This study utilizes the artificial neural network to explore the nonlinear relationships between patent performance and the corporate performance of the pharmaceutical companies. Patent performance measured from patent H index, patent citations, and essential technological strength (ETS). The result shows that patent H index, patent citations, and ETS has the nonlinear effect on the corporate performance of the pharmaceutical companies. |
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