scholarly journals How Knowledge Acquisition Diversity Affects Innovation Performance during the Technological Catch-Up in Emerging Economies: A Moderated Inverse U-Shape Relationship

2020 ◽  
Vol 12 (3) ◽  
pp. 945 ◽  
Author(s):  
Qiang Li ◽  
Jing-Jing Guo ◽  
Wei Liu ◽  
Xiao-Guang Yue ◽  
Nelson Duarte ◽  
...  
Keyword(s):  
Knowledge Acquisition ◽  
Technological Innovation ◽  
Emerging Economies ◽  
Manufacturing Industry ◽  
Technology Development ◽  
Innovation Performance ◽  
Technology Gap ◽  
Rapid Economic Growth ◽  
Technology Sourcing ◽  
Foreign Enterprises

Many domestic enterprises in emerging economies are concerned with the question of how to better utilize the portfolio of technology sourcing channels to achieve rapid economic growth by technological innovation. This paper looks at this issue by exploring the impacts of knowledge acquisition diversity (KAD) on innovation performance of domestic enterprises in China and the technological contexts (in terms of technology gap and technology development speed) under which KAD is most likely to contribute. Using panel data of the manufacturing industry in China over the 2001–2009 period, the results show that KAD has an inverse U-shaped relationship with innovation performance in terms of both product-related innovation performance (NPS) and knowledge-related innovation performance (PAT). Specifically, it reveals that the capability to generate technological innovation over time is dependent on how domestic enterprises manage their portfolio of knowledge sourcing channels to learn from foreign enterprises. Moreover, it is shown that the technology gap significantly moderates the inverted U-shaped relationship between KAD and both NPS and PAT. Technology development speed has a moderating effect on the inverted U-shaped relationship between KAD and innovation only in terms of NPS. The results of this study can help us to understand the relationships among technological contexts, KAD and innovation performance of domestic enterprises in emerging countries.

Innovation capabilities in the food processing industry in Brazil

2019 ◽  
Vol 121 (11) ◽  
pp. 2901-2918 ◽  
Author(s):  
Carlos Alberto Oliveira Oliveira ◽  
Estevao Passuello Ruffoni ◽  
Antonio Carlos Gastaud Maçada ◽  
Ântonio Domingos Padula
Keyword(s):  
Manufacturing Industry ◽  
Social Impact ◽  
Technology Development ◽  
Empirical Test ◽  
Innovation Performance ◽  
Content Type ◽  
Management Capability ◽  
Strategic Role ◽  
The Relationship ◽  
Development Capability

Purpose The purpose of this paper is to analyze the innovation performance of food companies from Brazil with regards to four innovation capabilities. Design/methodology/approach A research study was carried out on a sample of 120 Brazilian food companies. A conceptual framework of innovation capability was adopted to estimate the relationship between development capability, operations capability, management capability, transaction capability and the innovation performance of food companies. The empirical test was made with partial least squares analysis. Findings Results revealed that development capability and transaction capability have a substantive impact on the innovative performance of firms, while the findings indicated neither operations capability nor management capability was significantly related to the innovation performance of firms. Practical implications If innovations are considered one of the major sources of profitability for the firm, the findings of this study indicate ways to improve food companies in this issue. According to the results, efforts directed to technology development capability and transaction capability can significantly impact for the innovation performance. Originality/value Considering the overall manufacturing industry from Brazil, the food industry represents the biggest in economic and social impact for the nation. This quantitative empirical study fills an important gap in research by discussing innovation in an industry with a strategic role in the development of the country and to attend the global demand by food.

A comparative study of the effects of different factors on firm technological innovation performance in different high-tech industries

2019 ◽  
Vol 13 (1) ◽  
pp. 2-25 ◽  
Author(s):  
Jinwei Zhu ◽  
Yangyang Wang ◽  
Changyu Wang
Keyword(s):  
Comparative Analysis ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
Positive Impact ◽  
Innovation Performance ◽  
High Tech ◽  
Content Type ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry ◽  
Communication Equipment

Purpose This paper aims to examine the different impacts of six variables on firm technological innovation performance in different high-tech industries in China. Through a comparative analysis of data about growth enterprises market board (GEM)-listed companies, this study attempts to get some conclusions, to help firms in different high-tech industries use resources more rationally and to improve technological innovation performance more effectively. Design/methodology/approach This paper constructs semi-parametric models based on the relevant data of GEM-listed companies during 2010 to 2015 for different high-tech industries. These models can ensure that the influencing factors of firm technological innovation performance are no longer restricted to a particular aspect but can provide a comprehensive comparative analysis of the effects of factors on firm technological innovation performance in different high-tech industries. Findings The empirical results show that R&D expenditures have a significant positive impact on firm technological innovation performance in most high-tech industries, but not in electronic and communication equipment manufacturing industry; R&D personnel investment and government subsidies have significant positive impacts on firm technological innovation performance in knowledge-oriented industries; technology diversity has a significant positive impact on firm technological innovation performance in technology-oriented industries; the proportion of exports shows an inverted U-shaped relationship with firm technological innovation performance in electronic and communication equipment manufacturing industry, while firm size shows an inverted U-shaped relationship with firm technological innovation performance in general equipment manufacturing industry; and the effect of semi-parametric model fit is superior to the general parameters model. Originality/value Drawing on the resource dependence perspective, this paper is the first to consider a comprehensive treatment of differential effects of internal resources (R&D personnel, R&D expenditure), external resources (government subsides) and firm characteristics (firm size, export ratio) on firm technological innovation performance in different high-tech industries in an emerging country, in particular in contrast to previous studies that have focused on a single industry or taken the type of industry as a control variable. In addition, most studies about the determinants of firm innovation performance are based on survey questionnaires, which may introduce large subjective errors. Setting the relationship between variables in advance may also introduce fit error when using a general-parameter model. Semi-parametric regression which is used in this paper is able to prevent this shortcoming effectively. When constructing a regression model, this can be exempted from the formal constraints, thus estimating data more accurately and ensuring superior fit.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

Innovation in Energy Law and Technology

2018 ◽  
Keyword(s):  
Technological Innovation ◽  
Technology Development ◽  
Energy Sources ◽  
Market Demand ◽  
Energy Technologies ◽  
Law And Technology ◽  
Low Emission ◽  
Consumer Access ◽  
Legal Innovation ◽  
Energy Law

Technological and legal innovation have been central to energy development for centuries. Today’s era of accelerating change is transforming energy law. Disruption and change to established energy sources, supply, distribution, and energy consumer access is driven by legal innovations that, in turn, prompt or respond to technology. Interaction between legal and technological innovation is advancing the growing global effort to transition from high-carbon energy to low-energy or no-carbon energy—evidenced by the 2015 Paris Agreement on climate change and the growing market demand for carbon-free electricity. This global transition to low-emission energy sources allows nations to take advantage of emerging economic opportunities and facilitates new forms of energy technology development, energy distribution, and governance. But progress is uneven and concerns such as energy security are initiating technological innovation in many existing energy technologies. These authors from twenty-one nations examine relevant developments in global energy law triggered by these innovations.

scholarly journals Drivers of Firm’s Value: Panel Data Evidence from Indian Manufacturing Industry

2015 ◽  
Vol 7 (2) ◽  
pp. 1 ◽  
Author(s):  
Ranjit Tiwari ◽  
Brajesh Kumar
Keyword(s):  
Emerging Economies ◽  
Manufacturing Industry ◽  
Developing Economies ◽  
Panel Regression ◽  
Strategic Choices ◽  
Significant Relation ◽  
Value Drivers ◽  
Book Value ◽  
Earnings Per Share ◽  
The World

<p>The purpose of this paper is to classify the value drivers into broad categories and then identify the major drivers of firm’s value for Indian manufacturing industry and also work out the sectorial sensitivity of value drivers. To achieve the objectives of the study we first derive the value driver’s model next we use panel regression with different model specifications to empirically analyse the major drivers of firm’s value. Our study reveals that sales, net margin, book value, dividend per share, beta and earnings per share are the six major financial drivers of value. All the strategic drivers when included in the model have significant relation with value without disturbing the r-square of the model. Thus, it is clear that apart from generic financial drivers, firms need to put more attention on strategic choices they make, because it is the strategic choice that will give firms an edge over others in developing economies like India. Further, we also observe sector specific priorities of the value drivers. This paper provides academicians and practitioners with an overview of the applicability of value drivers for Indian manufacturing industry. Further, the study will fill the gap in literature by adding value drivers’ evidence from one of the fastest growing economies in the world and will benefit researchers in arriving at common consensus for value drivers in emerging economies. </p>

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