Impact of research and development tax credits on the innovation and operational efficiencies of Internet of things companies in Taiwan

dc.contributor.author Kweh, Qian Long
dc.contributor.author Lu, Wen-Min
dc.contributor.author Lin, Fengyi
dc.contributor.author Deng, Yung-Jr
dc.date.accessioned 2021-01-20T06:50:42Z
dc.date.available 2021-01-20T06:50:42Z
dc.date.copyright © 2021
dc.date.issued 2021
dc.description This article is not available at CUD collection. The version of scholarly record of this article is published in Annals of Operations Research (2021), available online at: https://doi.org/10.1007/s10479-020-03880-6 en_US
dc.description.abstract Following the emergence of the Internet, the Internet of things (IOT) brought about another wave of technological and economic revolutions. Through the lens of the production process, this study utilises the dynamic network slack-based measure model in data envelopment analysis to evaluate 32 IOT companies in Taiwan in terms of their innovation efficiency, operational efficiency and overall efficiency for the period of 2007–2017. Empirical results reveal that the average operational and overall efficiencies of IOT companies in Taiwan have been decreasing considerably since 2008. However, their average innovation efficiency remains stable over the sample period owing to government reductions in enterprise research and development (R&D) tax credit incentives. Through the impulse response function method, this study further confirms that the Statute for Industrial Innovation, which was implemented in 2010 and revised and reimplemented in 2016, specifically, policies concerning enterprise R&D tax credits, affect the efficiencies of IOT companies in Taiwan. Overall, this study reveals the performance evaluation process of IOT companies by showing that their innovation capability affects their operational efficiency. Thus, the government is advised to incorporate innovation measures into relevant industrial policies to achieve policy effectiveness. © 2021, Springer Science+Business Media, LLC, part of Springer Nature. en_US
dc.identifier.citation Kweh, Q. L., Lu, W. M., Lin, F., & Deng, Y. J. (2021). Impact of research and development tax credits on the innovation and operational efficiencies of Internet of things companies in Taiwan. Annals of Operations Research, 1-25. https://doi.org/10.1007/s10479-020-03880-6 en_US
dc.identifier.issn 02545330
dc.identifier.uri https://doi.org/10.1007/s10479-020-03880-6
dc.identifier.uri http://hdl.handle.net/20.500.12519/315
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation Authors Affiliations : Kweh, Q.L., Faculty of Management, Canadian University Dubai, P.O. Box 117781, 1st Interchange, Sheikh Zayed Road, Dubai, United Arab Emirates; Lu, W.-M., Department of International Business Administration, Chinese Culture University, No. 55, Hwa-Kang Road, Shilin District, Taipei, 114, Taiwan; Lin, F., Department of Business Management, College of Management, National Taipei University of Technology, No.1, Sec. 3, Zhongxiao E. Rd., Da an Dist., Taipei, 106, Taiwan; Deng, Y.-J., Department of Business Management, College of Management, National Taipei University of Technology, No.1, Sec. 3, Zhongxiao E. Rd., Da an Dist., Taipei, 106, Taiwan
dc.relation.ispartofseries Annals of Operations Research;
dc.rights Permission to reuse abstract has been secured from Springer.
dc.rights.holder Copyright : © 2021, Springer Science+Business Media, LLC, part of Springer Nature.
dc.subject Data envelopment analysis en_US
dc.subject Dynamic network slack-based measure en_US
dc.subject Impulse response function en_US
dc.subject Internet of things en_US
dc.title Impact of research and development tax credits on the innovation and operational efficiencies of Internet of things companies in Taiwan en_US
dc.type Article en_US
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