• International Journal of Quality Innovation
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• v.8 no.2
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• pp.69-87
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• 2007

High-tech industries in Taiwan exist in an environment with diverse product requirements and intense cost reduction and information integration stress. They must develop new operational directions to increase industry competitiveness. Therefore, Taiwan's high-tech industries must continue R&D and creativity, establish knowledge sharing mechanisms and improve new product development (NPD) performance. This research analyzed and explored the influences of knowledge management (KM) and knowledge sharing mechanisms introduced by Taiwan's high-tech industries on new product development performance. The relationship between knowledge management capabilities and NPD performance is studied. This research considers the intervening industry and corporate position variables. Taiwan's high-tech industries have gradually entered the era of IT region integration and application with competitive advantage creation based upon core techniques. The in-depth study of knowledge management and knowledge sharing introduced by the high-tech industry revealed double meanings in academic and practical applications. The research results showed the following: (1) the stronger the knowledge management capabilities of Taiwan's high-tech industries, the more significant the NPD performance. (2) The better the knowledge sharing mechanism in Taiwan's high-tech industries, the more significant the NPD performance. (3) Corporate scale is not necessarily the critical factor in NPD success and the influence of corporate scale on NPD performance did not show significant differences. (4) The stronger the degree of leading corporate techniques, the more significant the NPD performance.

• Knowledge Management Research
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• v.11 no.3
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• pp.1-11
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• 2010

The importance of intangible assets have increased unprecedentedly with the advent of the knowledge-based society. Investment in R&D has contributed to the rise of productivity and firm-value in the capital markets. but it is very difficult to determine the economic benefits of R&D investment, due to elusive link between time requirements and the realization of firm value from R&D investment. This study examines the differential effects of R&D expenditure and patents on firm-value by industry. Patents are intangible, proprietary rights that develops new products, plays a crucial role in market competition and results in research and development activities. If firms get patents, their R&D expenditure is assumed to be successful. The study analyzes whether successful R&D expenditure has a significant effect on the firm-value. The study considers two industries : high-tech industries and low-tech industries. These industries are expected to have different effect on R&D expenditure and firm-vale. The results of the study indicate that the successful R&D expenditure increased the firm-value. Successful R&D expenditure in high-tech industries more increased the firm-value more than that in low-tech industries.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.605-618
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• 2021

The use of human resources determines the success of enterprises. This study applies the questionnaire design method to analyze the relationship between job stress, job satisfaction, and job performance, noting that few studies have comparatively examined these variables between industries, especially between high-tech and traditional industries. The proposed assessment model in this study can facilitate decision-makers' ability to make the optimal business decisions through their personnel systems, thereby improving employee satisfaction and increasing job performance. This study found that in the traditional and high-tech industries, some demographic variables have significant differences in the job stress, job satisfaction and job performance, but the demographic variables that can significantly affect the differences in these job's variables are differences between industries. This study acknowledges that job stress and performance have a significantly negative correlation, and traditional industries will have more stress factors than high-tech industries. In addition, support for traditional industries exist in job satisfaction and performance has a significantly positive correlation, but not in high-tech industries. Job stress for performance has a significantly negative correlation in two industries. This study reconfirmed the relationship between job stress, satisfaction and performance, found some differences in this relationship and the respective industrial characteristics.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.71-95
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• 2005

This study aims to explore and understand the role of return migrants in the regional innovation system of a transition economy (China) by analyzing the activities of returning entrepreneurs in two emerging high-tech industries in Shanghai. The empirical analysis is based on in-depth interviews with founders of high-tech companies and experts in Shanghai. The results of the analysis reveal that return migrants are a significant factor for the Shanghai innovation system, which is presently in a transition from a former manufacturing site to a metropolitan region comprising a range of industries (including high-tech) and services. First of all, return migrants are important for the Shanghai RIS in terms of numbers. Second, they engage in activities in the medium range of high-tech which reflects prevailing weaknesses of the framework conditions for innovation in Shanghai. However, due to their international background, returning entrepreneurs are able to overcome these weaknesses, and thus contribute to the development of high-tech industries in Shanghai and to a reduction of the technological lock-in.

• Journal of Korea Technology Innovation Society
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• v.1 no.2
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• pp.231-244
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• 1998

The purpose of this analysis is to clarify the direction and nature of the future leading industries in Korea. Existing studies were analyzed in depth and their implications are as follows. Existing studies have not given a careful consideration for the structural adjustment of Korean economy and the atmosphere for the growth of prospective leading industries. In relation to the structural adjustment, the accomplishment of high value-added in existing industries and the promotion for high-tech industries as well as service industries should be the future direction of the future leading industries. In order to create atmosphere for the growth, it is crucial to achieve a social consensus about the nature of the prospective leading industries and is necessary to continue a concrete research on the related industries.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.287-295
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• 2019

The study aims to build a model for evaluating the effectiveness of activities and the effectiveness of financial investments in high-tech industries in Kazakhstan. The development of high-tech industries plays an important role in the economic growth of a country. In this regard, it is relevant to study the effectiveness of financing the most important industry in Kazakhstan. The development of the high-tech sector ensures the efficient functioning of the national innovation system. High-tech enterprises are one of the competitive sectors that allow us to develop and implement leading-edge innovations with the goal of their subsequent commercialization domestically and abroad. The author defines the multicriteria of efficiency in a knowledge-based economy associated with achieving an economic effect with multivariate correlation of results with costs. A multivariate dynamic model, an integral indicator of performance, an integral indicator of cost-effectiveness is proposed. The assessment of the effectiveness of financial costs and performance indicators in all regions of Kazakhstan have the positive dynamics of indicators, as well as a high economic effect. The results of the study can be applied in regional management to adequately assess the effectiveness of high-tech organizations and the effectiveness of financial investments, contribution to ensuring the economic security of the region.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.4
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• pp.15-32
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• 2016

This study examines the relationship between dynamic capabilities and operational capabilities as well as investigates the effect of these capabilities and performance. We also test these relationships on two industry groups categorized into high-tech industries and low-tech industries. We collected 221 firms' data from a questionnaire survey of small and medium-sized enterprises in Korea. Empirical results show that dynamic capabilities and operational capabilities influence performance positively. In high-tech industries dynamic capabilities directly affect performance while marketing capabilities appear to mediate the relationship between dynamic capabilities and performance. Dynamic capabilities show no significant effect on performance for low-tech industries; however, operational capabilities do mediate the relationship between dynamic capabilities and performance.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.331-344
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• 2014

This study attempts to explore the difference of innovation sources between high-tech industry and mid-tech industry through patent analysis. After extracting 119 corporates, commonly surveyed in 2007 HCCP(Human Capital Corporate Panel) and 2005~2006 Korea Innovation Survey, their patents applied for the Korean Intellectual Property Office in 2007~2012 are analysed mainly through negative binomial regression model. Analytical results shows that external information source could be opposite effects to technological innovation depending on technological level and industrial characteristics. The current results are still bounded in the statistical significance, mainly due to the limited observations and information.

• Korea Trade Review
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• v.46 no.3
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• pp.45-63
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• 2021

This paper investigates the effects of China's participation in global value chains (GVC) on the productivities focusing on the manufacturing industries. In this study, several indicators of participation in global value chains were used. These include GVC participation, forward GVC participation, backward GVC participation and GVC position index. In particular, we used the data obtained from 18 manufacturing industries in China during 15 years from 2000 to 2014. The main results of the analysis are as follows. First, the higher the degree of total participation in GVC, the higher the productivity. This means that with the increase in exports and imports of intermediate goods, productivity has increased through technology spillover effects or competition effects, and so on. Second, the backward participation does not increase the productivities significantly while forward participation leads higher productivity. Third, the productivity improvement effects of GVC participation was larger in the high-tech industries than in the low-tech industries. These results show that GVC participation was helpful for the economic growth of China and the efforts for moving toward upstream production stage in GVC is necessary for the improvement of international competitiveness in Chinese manufacturing industry.

• International Journal of Quality Innovation
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• v.9 no.2
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• pp.99-117
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• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.