• Title/Summary/Keyword: high-tech

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Determinants of High-Tech Companies' Export: Centering on a Resource-Based Perspective (하이테크 기업의 수출 결정요인: 자원기반관점을 중심으로)

  • Kim, Seung Ho;Kim, Young Gon;Park, Sung Gon;Kim, Dea Geun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.4
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    • pp.109-119
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    • 2017
  • As advancement into global markets becomes increasingly important, there are increasing interests in high-tech companies' export. This study is an empirical investigation of the determinants of high-tech companies' export in the Daegu region seen from a resource-based perspective with focuses on organizational resources and innovative capabilities. The empirical analysis revealed that the export determinants hold truer for high-tech companies compared to companies overall, and that high-tech companies' key export determinants include organizational age as a organizational resource and international intellectual property rights (IPRs) as an innovative capability. In this sense, policies to promote high-tech companies' export should be designed to support high-tech companies that have a relatively longer history and international IPRs. The results also suggest that in the working level high-tech companies should establish their internal capabilities from a resource-based perspective, for example history and experience in their fields and international IPRs, rather than trying to target global markets from the beginning as born-global companies do.

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Degree of Internationalization and Performance of High-tech Small and Medium-sized Enterprises: Evidence from Korea

  • Shin, Joon-Ho;Kim, Chang-Bong
    • Journal of Korea Trade
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    • v.25 no.7
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    • pp.1-18
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    • 2021
  • Purpose - In this study, we explore the relationship between the degree of internationalization (DOI) and firm performance (DOI-P) of small and medium-sized enterprises (SMEs) in the manufacturing sector. Specifically, we investigate whether the costs and benefits dynamics concerning the internationalization of SMEs differ between high-tech and non-high-tech industries. Design/methodology - We extend the prior literature on this relationship by employing 5-year data on 589 Korean SMEs in the manufacturing sector and examining the moderating impact of the industry characteristics. Our findings reveal a U-shaped relationship between the DOI and SME performance. High-tech SMEs demonstrate an inverted U-shaped relationship, whereas non-hightech SMEs exhibit a U-shaped relationship. Findings - Our findings illustrate the importance of the industry factor in testing the performance impact of the internationalization of Korean SMEs. By incorporating industry dynamics, our results indicate that the DOI-P relationship depends on the context of the industry in which an SME operates. High-tech SMEs also display a higher DOI but are outperformed by non-high-tech SMEs for the entire internationalization path, which implies that high-tech SMEs face more challenges than non-high-tech SMEs while seeking internationalization. Originality/value - The findings strongly validate that significant benefits exist for SMEs undertaking internationalization. We also employ the contextual framework contributing to increasing the understanding of the intrinsic value of internationalization and resolving the mixed results issue on the DOI-P relationship, by illustrating that the industry factor leads to different dynamics of costs and benefits of SME internationalization; it also determines the shape and direction of the relationship.

Entrepreneurial Learning and Indian Tech Startup Survival: An Empirical Investigation

  • Krishna, HS
    • Asian Journal of Innovation and Policy
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    • v.7 no.1
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    • pp.55-78
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    • 2018
  • This paper investigates the linkage between the mode of transformation of entrepreneurial learning into outcomes and the subsequent impact of these learning outcomes in enhancing the survival of high-tech startups in India. The study uses data from 45 high-tech startups headquartered across different locations in India for the purpose of analysis. Survival Analysis of the data is conducted to determine which mode of learning transformation and what type of en trepreneurial decision making preference have a significant influence on the survival of Indian high-tech startups and to what extent do they impact their survival. The results indicate that entrepreneur's prior startup experience, explorative mode of learning transformation, causal decision making of the entrepreneur and availability of funding for the startup as the key factors that reduce the time to survival of Indian high-tech startups. They also provide key insights on how these factors impact the startup survival in this region.

Entrepreneurial Networking of High-tech Ventures in Korea : Relationships with Influencing Factors and Performance (우리나라 벤처기업의 네트워크 활동 특성 : 영향요인 및 성과간의 관계 분석)

  • 박상문;배종태
    • Journal of Technology Innovation
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    • v.6 no.2
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    • pp.101-121
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    • 1998
  • Recent entrepreneurship studies emphasize the importance of entrepreneurial activities of entrepreneurs. This study focuses entrepreneurial behaviors, especially entrepreneurial networking activities of Korean high-tech ventures. Networking activities can utilize external resources which are critical to success, with less resource commitment. This study examines the relationship between characteristics of entrepreneurial networking and performance, and analyses influencing factors of entrepreneurial networking activities. Based on the data from 55 new high-tech ventures in Korea, hypotheses that the characteristics of entrepreneurial networking are related to the performance of new high-tech ventures are tested using regression analysis and t-test. Major findings of this study are as follows: (1) entrepreneurial networking are related to the performance of new high-tech ventures, (2) significant differences are found in the characteristics of entrepreneurial networking between high- and low-performance firms, (3) characteristics of entrepreneurs and firm' technological capabilities are related to the degree of entrepreneurial networking activities. Finally, managerial and policy implications of the study are presented and future research directions are also suggested.

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An Empirical Analysis on a Predictive Method of Systematic Segmentation in Volatile High-Tech Markets

  • Shin, Yonghee;Jeon, Hyori;Choi, Munkee;Han, Eoksoo;Jung, Sungyoung
    • ETRI Journal
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    • v.35 no.2
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    • pp.321-331
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    • 2013
  • High-tech markets are unpredictable owing to rapid technology innovation, diverse customer needs, high competition, and other elements. Many scholars have attempted to explain the uncertainty in high-tech markets using their own various approaches. However, sufficiently clear ways to predict diverse changes and trends in high-tech markets have yet to be presented. Thus, this paper proposes a new approach model, that is, systematic market segmentation, to give more accurate information. Using an empirical dataset from the mobile handset market in the Republic of Korea, we conduct our research model consisting of three steps. First, we categorize nine basic segments. Second, we test the stability of these segments. Finally, we profile the characteristics of the customers and products. We conclude that the approach is able to offer more diagnostic information to both practitioners and scholars. It is expected to provide rich information for an appropriate marketing mix in practice.

The Impact of Innovation on Operational Performance in Chinese High-Tech Enterprises

  • Liping Yuan;Minghao Huang
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.2
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    • pp.179-195
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    • 2024
  • The technological innovation of high-tech enterprises plays a positive driving role in operational performance. Investigating the factors influencing the operational performance of high-tech enterprises and the effects of technological innovation on operational performance is a targeted approach to promoting the growth of economic benefits and enhancing the foundation of enterprise efficiency. Additionally, it holds positive significance for the increase in market share of high-tech enterprises. This paper, considering the characteristics of high-tech enterprises, selects three influencing factors: research and development (R&D) investment intensity, the number of authorized patents, and the increment of intangible assets. Theoretical analysis is conducted on the impact mechanism and effects of these factors on operational performance. Based on this, empirical analysis is performed using relevant data of Chinese high-tech enterprises from 2011 to 2019. The study indicates that R&D investment intensity has a significant positive promoting effect on operational performance, the number of authorized patents also positively influences operational performance significantly, while the asset-liability ratio of high-tech enterprises has a notable inhibitory effect on operational performance. Finally, relevant recommendations are proposed.

Return Migration in Regional Innovation Systems

  • Sternberg, Rolf;Muller, Claudia
    • 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.

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Entrepreneur, Environment, Strategy, Structure, and Performance Changes of High-Tech Ventures (벤처기업의 기업가, 환경, 전략, 그리고 조직구조 특성과 성과변화)

  • 장수덕;이장우
    • Journal of the Korean Operations Research and Management Science Society
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    • v.28 no.2
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    • pp.35-59
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    • 2003
  • Generally high-tech ventures have few resources with which to withstand unpredictable environmental jolts. Therefore environmental changes may have severe effects on the performance of high-tech ventures. Unfortunately previous empirical studies for predicting the performance of ventures hardly deal with such dynamic changes of performance. We try to examine the performance changes of ventures through a longitudinal study before and after severe environmental changes, namely IMF Bailout Memorandum. For the empirical study, we classified venture firms into four types based on entrepreneur's assessment of their performance changes and investigated how these four types differ in characteristics of entrepreneurs, environment, strategy, and organizational features. We found that differentiation strategies, fit between strategy and environmental changes, entrepreneur's trust and activities such as networking and knowledge accumulation about customers, and decentralized organizational structure were important to the performance changes of high-tech ventures.

Evolution of High-Tech Start-Up Ecosystem Policy in India and China: A Comparative Perspective

  • Krishna, HS
    • Asian Journal of Innovation and Policy
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    • v.7 no.3
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    • pp.511-533
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    • 2018
  • As the developed and developing economies make the transition to knowledge-based economies, the high-tech sector has been the primary engine in enabling this transformation. Given this context, the policy making and implementation abilities of the countries' local administration assume significance. This study therefore attempts to examine the policy evolution undertaken by China and India which resulted in the emergence of high-tech startup ecosystems in these countries. Further, using a theoretical framework for an ideal entrepreneurial ecosystem, it tries to understand the similarities and differences prevalent currently in the Indian and Chinese high-tech startup ecosystem. The results of the study indicate that although both the countries took different paths, from a macro-perspective, they follow the same pattern as observed in the US and Israel policy making - that of the change in the role of Government as a regulator to that of an enabler of the entrepreneurial ecosystem. The differences and similarities between the key entrepreneurial ecosystem components provide additional knowledge about the currently prevailing conditions of the ecosystem in these countries.