The Influence of R&D Intensity on Financial Performance: The Mediating Role of Human Capital in the Semiconductor Industry in Taiwan
Tsung-Chun Chen () and
Yenchun Jim Wu ()
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Tsung-Chun Chen: Department of Business, Putian University, Putian 351100, China
Yenchun Jim Wu: Graduate Institute of Global Business and Strategy, National Taiwan Normal University, Taipei 24449, Taiwan
Sustainability, 2020, vol. 12, issue 12, 1-18
Knowledge transfer is a strategy used by high-tech companies to acquire new knowledge and skills. Knowledge can be internally generated or externally sourced. The access to external knowledge is a quick fix, but the risks associated with reliance on external sources are often overlooked. However, not acquiring such knowledge is even riskier. There have been a slew of litigations in the semiconductor industry in recent years. The acquisition and assurance of intangible assets is an important issue. This paper posits that internal R&D should take into consideration the knowledge intensity and capital investment in the industry. This study focuses on the relationship between intangible assets and financial performance. It sourced the 2004 to 2016 financial data of semiconductor companies in Taiwan for panel data modeling and examined case studies for empirical validation. This study found that the higher the R&D intensity (RDI) in the value-added component of human capital, the better the financial performance of the company. RDI has a positive influence on the accumulation of human capital and financial performance metrics, and such influence is deferred. Meanwhile, human capital is a mediating factor in the relationship between RDI and financial performance. RDI is integral to the semiconductor industry’s pursuit of business sustainability.
Keywords: R& D intensity (RDI); human capital; knowledge transfer; financial performance; semiconductor industry (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:12:p:5128-:d:375506
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