Direct and indirect effects of innovation on revenue growth: comparison between the US and Taiwanese electronics firms

Fu, Chung Jen; Ченг, Чиа-Чи; Chang, Bao Guang; Lai, Young Jou

doi:10.1504/ijrm.2007.012698

Cited by 3 publications

(1 citation statement)

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“…(Fu, Cheng, Chang and Lai, 2007) Thus, the corporation can surpass competitors in one of this innovations, especially in the R&D efficiency. If the company can create output with minimum resources, it will have positive effects on economic performance.…”

Section: Introductionmentioning

confidence: 99%

Explaining the long-term performance of IPOs with R&D efficiency — the data envelopment analysis approach

Chen¹,

Wang

Shi

et al. 2009

Journal of Statistics and Management Systems

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This research employs data envelopment analysis (DEA) to evaluate R&D efficiency of electronic initial public offerings firms (IPOs) and investigates the relation between R&D efficiency and the long-term performance of those companies. Our empirical result shows that the absence of pure technical efficiency accounts for 61.05% of deficient resource utilization, while the shortage of scale efficiency results in 38.95% of it. Consequently, a higher portion of resource wasting comes from managers' inefficient operation. We also learn that long-term performance of IPOs can be explained by scale efficiency in a regression model. Long-term returns on IPOs can be improved if companies can achieve optimal production scale.

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Section: Introductionmentioning

confidence: 99%

Explaining the long-term performance of IPOs with R&D efficiency — the data envelopment analysis approach

Chen¹,

Wang

Shi

et al. 2009

Journal of Statistics and Management Systems

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Investment, alternative measures of fundamentals and revenue indicators

Bayraktar

2009

IJRM

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The paper investigates the empirical significance of revenue management in determining firm-level fixed capital investment when investment opportunities are controlled for by two of the recently-introduced empirical fundamentals: profitability shocks and the gap measure between the desired and actual capital stocks (mandated investment rate). Tobin's q is also included in the analyses for the purpose of comparison. The data set, which is constructed from the COMPUSTAT database, includes U.S. based manufacturing firms. The results show that financial variables are important determinants of investment but they are not as significant as claimed by some empirical studies focusing on capital market imperfections. The explanatory power of financial variables in the investment process declines with increasing significance of fundamentals. Another interesting result is that the level of investment by expected-to-be financially constrained firms, identified by commonly used a priori measures of financial constraints, tends to be relatively less sensitive to changes in financial variables compared to changes in fundamentals even though the opposite is predicted in the literature. This result questions whether investment-cash flow sensitivity can be a good measure of financial constraints, as well as whether some of the firm characteristics used in identifying financially constrained firms in the literature are sufficient.

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Determining R&D intensity under different market conditions

Towler

Moizer

2010

IJRM

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Direct and indirect effects of innovation on revenue growth: comparison between the US and Taiwanese electronics firms

Cited by 3 publications

References 15 publications

Explaining the long-term performance of IPOs with R&D efficiency — the data envelopment analysis approach

Explaining the long-term performance of IPOs with R&D efficiency — the data envelopment analysis approach

Investment, alternative measures of fundamentals and revenue indicators

Determining R&D intensity under different market conditions

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Direct and indirect effects of innovation on revenue growth: comparison between the US and Taiwanese electronics firms

Cited by 3 publications

References 15 publications

Explaining the long-term performance of IPOs with R&D efficiency — the data envelopment analysis approach

Explaining the long-term performance of IPOs with R&D efficiency — the data envelopment analysis approach

Investment, alternative measures of fundamentals and revenue indicators

Determining R&amp;D intensity under different market conditions

Contact Info

Product

Resources

About

Determining R&D intensity under different market conditions