scholarly journals Government Support and R&D Investment Effectiveness in Chinese SMEs: A Complex Relationship

2017 ◽  
Vol 16 (1) ◽  
pp. 201-226 ◽  
Author(s):  
Claudio Petti ◽  
Lauretta Rubini ◽  
Silvia Podetti
Keyword(s):  
Government Support ◽  
High Tech ◽  
Moderation Model ◽  
And Performance ◽  
The One ◽  
Internal Balance ◽  
The Relationship ◽  
Innovative Capacity ◽  
D Investment ◽  
Innovation Support

This paper investigates the combined role of innovation support policies and firm's own innovative activities on the performance of Chinese small- and medium-sized enterprises (SMEs) in high-tech sectors. By distinguishing two components of innovative activities—research and development (R&D) investments and embedded innovative capacity—the paper develops and tests an integrative moderated moderation model. The results suggest that in Chinese high-tech SMEs innovation-support policies positively moderate the relationship between R&D investments and performance, but this positive effect diminishes when there are higher levels of embedded innovative capacity. These results highlight that the relationship between government innovation policies and a firm's own R&D investments is not only reciprocal but also more complex than the one so far analyzed in the literature. The results show in particular that the effects of innovation-support policies on R&D investments is not as neat as it seems, because of the internal balance within the firm between investment in R&D and other sources of innovation. Therefore, although innovation support policies have been found to help Chinese SMEs in high-tech sectors benefit from their R&D investments, these policies are particularly effective only when R&D investments are significantly driving firms’ innovative activities. This highlights the relevance of both government support and a firm's own efforts in the competitive modernization of Chinese SMEs.

scholarly journals The effects of R&D intensity and internationalization on the performance of non-high-tech SMEs

2017 ◽  
Vol 36 (1) ◽  
pp. 81-103 ◽  
Author(s):  
Lucas WA Booltink ◽  
Ayse Saka-Helmhout
Keyword(s):  
Firm Performance ◽  
Research And Development ◽  
Critical Threshold ◽  
High Tech ◽  
High Tech Sector ◽  
And Performance ◽  
The Relationship ◽  
D Investment ◽  
Level Of Risk

Research and Development (R&D) investment is seen as a fundamental driver of high-tech small and medium-sized (SME) firm performance. However, the same driver may be constraining growth among non-high-tech SMEs as it increases the level of risk faced by such firms. We challenge this argument by examining the relationship between R&D intensity and performance among non-high-tech SMEs. While the size of R&D investments is, by definition, limited in the non-high-tech sector, our study shows that such investments are important for non-high-tech firms. There is, however, an inverted U-shaped relationship between R&D intensity and performance among non-high-tech SMEs. Furthermore, increased internationalization leads non-high-tech SMEs to exploit their R&D investment more effectively to enhance firm performance, provided that R&D investment levels exceed a critical threshold.

Innovation and Performance: An Empirical Study of Russian Industrial Companies

2018 ◽  
Vol 15 (03) ◽  
pp. 1850027 ◽  
Author(s):  
Arkady Trachuk ◽  
Natalia Linder
Keyword(s):  
Research And Development ◽  
Critical Mass ◽  
High Tech ◽  
Manufacturing Companies ◽  
Industrial Companies ◽  
Strong Positive Relationship ◽  
And Performance ◽  
Relationship Of ◽  
The Relationship ◽  
D Investment

The paper investigates the relationship between investment in research and development (R&D), innovation expenses, and productivity of manufacturing companies. These empirical results have shown that innovation investments (1) improve the performance of industrial companies with the elasticity of 0.09; (2) innovation investment has an impact on the performance of the company, and the extent of this impact depends on the value of R&D investment and has a range of elasticity ranging from 0.03 (for low volumes of R&D investment) to 0.16 in high volumes of R&D investment; (3) the relationship between innovation investment and the growth of performance is nonlinear in nature and has a strong positive relationship only after a critical mass of innovation investment has been reached; (4) a significant role in the relationship of innovation investment and productivity is played by the features of the industry in which the company operates (the companies that operate in high-tech industries not only invest more in R&D and innovation but also have a better performance due to research and development); (5) companies of low-tech industries have a negative elasticity of innovation investment and productivity, which is due to the influence of unprofitable innovation investments (appropriability effect), i.e. additional profits from the investment are not significant.

Intellectual capital and performance of listed companies: empirical evidence from Italy

2014 ◽  
Vol 18 (1) ◽  
pp. 22-35 ◽  
Author(s):  
Domenico Celenza ◽  
Fabrizio Rossi
Keyword(s):  
Explanatory Power ◽  
Value Added ◽  
Listed Companies ◽  
Cross Sectional ◽  
Content Type ◽  
Accounting Performance ◽  
And Performance ◽  
The One ◽  
Two Stages ◽  
The Relationship

Purpose – The aim of this paper is to investigate the relationship between corporate performance and Value Added Intellectual Coefficient (VAICTM) on the one hand, and the relationship between the variations in market value and the variations in VAIC on the other hand. Design/methodology/approach – Starting from the VAIC model, 23 Italian listed companies were examined with the aim of investigating the relationship between VAIC and the performance of the firms in the sample. The analysis was divided into two stages. In the first stage, eight models of linear regression were estimated to verify the presence of a positive and statistically significant relationship between M/BV and VAIC and between accounting performance indicators (ROE, ROI, ROS) and the VAIC. In the second stage, six other models were tested, considering as an independent variable the variations in VAIC and the variations in profitability indicators. Findings – The outcomes of the application stress the importance of VAIC in the explanation of the variations in MV and its role as “additional coefficient” in the analysis of equity performance. Originality/value – This methodology highlights some very interesting aspects. In particular, whereas the relationship between M/BV and VAIC and between profitability indicators (ROI, ROE, ROS) and VAIC is statistically insignificant, the subsequent analysis highlights the importance of VAIC as a variable capable of increasing the explanatory power of the regression in a cross-sectional perspective.

scholarly journals Do Frugal and Reverse Innovation Foster Sustainability? Introduction of a Conceptual Framework

2013 ◽  
Vol 4 (2) ◽  
pp. 31-50 ◽  
Author(s):  
Alexander Brem ◽  
Björn Ivens
Keyword(s):  
Conceptual Framework ◽  
Value Creation ◽  
The Other ◽  
Three Dimensions ◽  
Reverse Innovation ◽  
Sustainability Management ◽  
Sustainability Performance ◽  
And Performance ◽  
The One ◽  
The Relationship

The fields of frugal and reverse innovation as well as sustainability and its management have received tremendous interest in recent times. However, there is little literature on how both fields are related to each other. Hence, this paper gives an overview of research in both areas and provides a view of the relationship between frugal and reverse innovation, sustainability management and performance constructs. The link between frugal and reverse innovation on the one hand and sustainability performance on the other hand is established through a differentiated perspective on dimensions representing different fields of sustainability management, i.e. the sustainability of resources used in value creation, the sustainability of the actual value creation processes, and the sustainability of the outcomes of value creation processes. Moreover, we also argue for a positive link between the three dimensions of sustainability management and a company’s market performance.

Invest in Innovation or Not? How Managerial Cognition and Attention Allocation Shape Corporate Responses to Performance Shortfalls

2021 ◽  
pp. 1-36
Author(s):  
Lerong He ◽  
Liying Huang ◽  
Guangqing Yang
Keyword(s):  
Performance Feedback ◽  
Attention Allocation ◽  
High Tech ◽  
Moderating Effects ◽  
Managerial Cognition ◽  
Industry Competition ◽  
Aspiration Levels ◽  
The Relationship ◽  
Underperforming Firms ◽  
D Investment

ABSTRACT This study investigates the influence of managerial cognition and attention allocation on firms’ responses to negative performance feedback. We explore how managerial cognition, as shaped by managers’ experiences, connections, positions, and industry environments, affects underperforming firms’ attention allocation and, consequently, their decisions to invest in innovation. Utilizing a longitudinal sample of Chinese high-tech firms from 2009 to 2017, we find that firms increase investment in research and development (R&D) when performance falls below aspiration levels. We also document that underperforming firms are associated with an even larger R&D investment increase when their CEOs have an R&D or engineering background, serve simultaneously as the board chair, or are not politically connected. In addition, we highlight the moderating effects of industry competition and industry norms on the relationship between firm underperformance and R&D intensity. We conclude that managerial cognition affects firms’ allocation of attention to innovation as a solution for closing performance gaps and shapes corporate responses to negative performance feedback.

scholarly journals Research on Innovation Catering Behavior and Its Economic Consequences—An Empirical Analysis Based on Threshold Regression Model

2020 ◽  
Vol 12 (19) ◽  
pp. 8198
Author(s):  
Yue Zhu ◽  
Ziyuan Sun ◽  
Ling Wang ◽  
Xiaoping Wang ◽  
Lu Zhang
Keyword(s):  
Regression Model ◽  
Empirical Test ◽  
Economic Consequences ◽  
High Tech ◽  
Threshold Regression ◽  
The Sustainable Development ◽  
Independent Innovation ◽  
The One ◽  
Threshold Regression Model ◽  
D Investment

The purpose of this research is to develop the subjective initiative and enhance the sense of independent innovation in the process of high-tech enterprises, so as to guarantee the sustainable development of innovation ability. Based on the relevant data of high-tech enterprises from 2012 to 2017, a threshold regression model was established to study the existence of innovative “incentive” catering behaviors in the process of identifying high-tech enterprises. First, the empirical test results support the hypothesis of innovative “incentives” catering behavior, identified by high-tech enterprises, with a threshold of 0.0370. The empirical results show that the one-size-fits-all objective identification standard will indeed encourage some companies to adopt catering behaviors. Next, the paper verifies that high-tech companies that do not adopt “incentive” catering behaviors will have higher innovation efficiencies. Moreover, the R&D investment and R&D subsidy of high-tech enterprises without catering behaviors will be higher. Finally, through a stepwise regression test, it was found that R&D investment and R&D subsidies play an intermediary role in the relationship between innovation “incentives” catering behavior and corporate innovation efficiency. High-tech enterprises affect the innovation efficiency of enterprises through the transmission mechanism of R&D investment and R&D subsidies.

scholarly journals Circular Causality of R&D and Export in EU countries

2015 ◽  
Vol 1 (1) ◽  
pp. 82 ◽  
Author(s):  
Dilek Cetin ◽  
Michele Cincera
Keyword(s):  
Research And Development ◽  
Manufacturing Industry ◽  
Community Innovation Survey ◽  
Eu Countries ◽  
Export Behaviour ◽  
Knowledge Intensive ◽  
The One ◽  
Circular Causality ◽  
The Relationship ◽  
D Investment

The main objective of the study is to explore the relationship between Research and Development (R&D) investments and export behaviour in EU countries in the aspect of competitiveness. To this end, the micro-aggregated Community Innovation Survey 3 (CIS3) is used. Both the volume and the decision of R&D investment and export are found to be mutually dependent. Particularly, in manufacturing industry, the effect of export on R&D is underestimated and the one of R&D on export is overestimated. In the knowledge intensive sectors, circular causality link is broken between the R&D and export.

scholarly journals The Relationship Between Self-Confidence and Performance of Gymnastic Elements // Povezanost samopouzdanja i uspješnosti izvođenja gimnastičkih elemenata

2019 ◽  
Vol 16 (2) ◽  
Author(s):  
Petar Mrđa ◽  
Saša Jovanović ◽  
Sanja Srdić ◽  
Adrijana Ljubojević
Keyword(s):  
The Self ◽  
Self Concept ◽  
Measurement Instruments ◽  
Self Confidence ◽  
Back Handspring ◽  
And Performance ◽  
The One ◽  
High Level ◽  
The Relationship ◽  
Confidence Scale

The aim of this research was to establish a relation between self-confidence and self-concept, on the one hand, and the performance of the apparatus elements and the floor routine, on the other. The research included 29 subjects, aged 20 to 27, with the average age of the subjects being 21 years old (M= 21.16, SD= 1.54). The following measurement instruments were used: RSES (Rosenberg Self-Esteem Scale) and SC-6, as well as the evaluation of the performance of the floor exercises (side-to-side and front-to-back cartwheel, roundoff, front and back handspring, forward and backward flip) and a vault (squat through on the vault and straddle vault with pre-flight, front handspring on vault, roundoff vault) and with the apparatus: the high bar (uprise on bars with legs together, kip, front mill circle, back circle, underswing dismount) and the parallel bars (swing, forward roll, back roll, shoulder stand, front toss dismount, back toss dismount) by a three-member committee. The results showed that Rosenberg’s confidence scale produced statistically significant correlations with all the remaining subscales of moderate or high intensity, and the highest one with the scale of the self-concept (rs= .73), while the lowest one with the scale related to the performance of gymnastic elements on the apparatus (rs = .45) (Cohen, 1988 according to Cumming, 2012). In contrast to this scale, the scale of the self-concept is in statistically significant correlation with the gymnastic elements (rs = .61) on the floor and the vault, while the statistically significant correlation of this scale is missing with the gymnastic elements on the apparatus. It can be concluded that a high level of confidence in one’s own abilities through the entire training period enabled a better access to learning, repetition and, finally, the demonstration of the selected gymnastics elements, while the level of general satisfaction was not a decisive factor in the process.

Sign in / Sign up

Export Citation Format

Share Document