Study on Evaluation of Technical Innovation Capacity of High-tech Industry with Uncertain Linguistic Information

2012 ◽  
Vol 4 (4) ◽  
pp. 230-236
Author(s):  
Juan Li ◽  
Zuting Zheng
Keyword(s):  
Technical Innovation ◽  
High Tech ◽  
High Tech Industry ◽  
Linguistic Information ◽  
Innovation Capacity

scholarly journals Factors affecting innovation capacity in Vietnamese Southern high technology industries

2017 ◽  
Vol 24 (03) ◽  
pp. 66-93
Author(s):  
Vân Đoàn Thị Hồng ◽  
Uyen Bui Nhat Le
Keyword(s):  
Government Support ◽  
High Tech ◽  
Total Quality ◽  
Precision Engineering ◽  
High Tech Industry ◽  
Factors Affecting ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Innovation Capacity ◽  
Technology Industries

Numerous studies have demonstrated that the success of businesses in the era of knowledge-based economy depends on their innovation capacity (Azevedo et al., 2007). Therefore, the main goal of this study is to explore the factors that impact the innovation capacity of enterprises in the Vietnam Southern high tech industry. Besides the qualitative method, the study carries out a survey of 380 enterprises in the fields of electronics, microelectronics, information technology, telecommunications, precision engineering, automation, biotechnology, and nanotechnology. The results reveal that total quality management, internal human resources, absorptive capacity, government support, and collaboration networks impact positively on the innovation capacity. In addition, the research proposes solutions for high tech enterprises to boost their innovation capacity in the future.

Evaluation on Independent Innovation Ability of High-Tech Industry Based on Rough Set and Projection Pursuit Model

2011 ◽  
Vol 480-481 ◽  
pp. 821-826 ◽  
Author(s):  
Jian Wen ◽  
Li Juan Lei ◽  
Zhi Qiang Tian
Keyword(s):  
Rough Set ◽  
Evaluation Method ◽  
Rough Set Theory ◽  
Projection Pursuit ◽  
High Tech ◽  
Main Body ◽  
High Tech Industry ◽  
Independent Innovation ◽  
Innovation Capacity ◽  
Projection Pursuit Model

It is important to evaluate the independent innovation capacity of high-tech industry scientifically, which could accelerate high-tech industry to become the main body of regional economy. In this paper the evaluation indicators of the independent innovation capacity of high-tech industry are reduced with the distinction matrix algorithm of the attribute reduction based on rough set theory. And then, projection pursuit model method based on genetic algorithms is used to get the synthetic evaluation. High-tech industry of Henan province as a specific example is given according to the evaluation index system with 4 primary indicators and 12 secondary indicators for independent innovation capability. It is proved that the evaluation method is feasible and effective.

World experience in using the program-targeted planning methods for high-tech industry development

2020 ◽  
Vol 19 (9) ◽  
pp. 1723-1735
Author(s):  
A.Yu. Pronin
Keyword(s):  
Russian Federation ◽  
Technological Development ◽  
High Tech ◽  
Economic Activities ◽  
High Tech Industry ◽  
Industry Development ◽  
Foreign Countries ◽  
Planning Methods ◽  
The Russian Federation ◽  
Development Objectives

Subject. The article investigates the program-targeted planning methodology, which is implemented in the Russian Federation and leading foreign countries, for high-tech industry development. Objectives. The aim is to identify the specifics of program-targeted planning for the development of high-tech industries, to shape programs and plans for innovative development in the Russian Federation and leading foreign countries. Methods. The study employs general scientific methods of systems analysis, including the statistical and logical analysis. Results. I reviewed methods of program-targeted planning, implemented by the world’s leading countries (the Russian Federation, United States of America, France, Great Britain, Netherlands, Norway, Japan, Canada), in the interests of the development of various high-tech sectors of the economy. The study established that the methodology of program-targeted management is an effective tool for resource allocation by various types of economic activities in accordance with national priorities. I developed proposals by priority areas for improving the methodology for program-targeted planning and management in the Russian Federation in modern economic conditions. Conclusions. The findings and presented proposals can be used to improve methods for program-targeted planning to develop high-tech sectors of the economy; to design various long-term programs and plans, reducing the risk of their implementation; to determine the ways and methods of sustainable socio-economic and innovative and technological development of the world's leading economies.

scholarly journals The Impact of CSR on the Capital Structure of High-Tech Companies in Poland

2021 ◽  
Vol 13 (10) ◽  
pp. 5467
Author(s):  
Barbara Grabinska ◽  
Dorota Kedzior ◽  
Marcin Kedzior ◽  
Konrad Grabinski
Keyword(s):  
Capital Structure ◽  
Financial Reporting ◽  
Academic Research ◽  
Debt Financing ◽  
High Tech ◽  
High Tech Industry ◽  
Reporting Practices ◽  
Csr Reporting ◽  
The Impact ◽  
The Capital Structure

So far, CSR’s role in the high-tech industry is not fully explained by academic research, especially concerning the most burdensome obstacle to firms’ growth: acquiring debt financing. The paper aims to solve this puzzle and investigate whether young high-tech companies can attract more debt by engaging in CSR activity. To address the high-tech industry specificity, we divided CSR-reporting practice into three broad categories: employee, social, and environmental and analyzed their impact on the capital structure. Our sample consists of 92 firm-year observations covering the period 2014–2018. Using a regression method, we found out that only employee CSR plays a statistically significant role in shaping capital structure. We did not find evidence for the influence of the other types of CSR-reporting practices. The results suggest that employees are the key resource of high-tech companies, and, for this reason, they are at the management’s focus. This fact is visible at the financial reporting level and, as we interpret results, is also considered by credit providers. In a more general way, our results suggest that firms tend to choose CSR based on the importance of crucial resources.

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