• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.76-91
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• 2019

There have been many studies to examine the patterns in innovations reflecting industry-specific characteristics from an evolutionary economics perspective. The purpose of this study is to identify industry-specific differences in product innovation patterns and determinants of innovation performance. For this, Korean manufacturing is classified into high-tech industries and low-tech industries according to technology intensity. It is also pointed out that existing research does not reflect the decision-making process of firms' R&D implementations. In order to solve this problem, this study presents a Heckman sample selection model and a double-hurdle model as alternatives, and analyzes data from 1,637 firms in the 2014 Survey on Technology of SMEs. As a result, it was confirmed that the determinants and patterns of manufacturing in small and medium-size enterprise (SME) product innovation are significantly different between high-tech and low-tech industries. Also, through an extended empirical model, we found that there exist a sample selection bias and a hurdle-like threshold in the decision-making process. In this study, the industry-specific features and patterns of product innovation are examined from a multi-sided perspective, and it is meaningful that the decision-making process for manufacturing SMEs' R&D performance can be better understood.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2001.11a
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• pp.103-104
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• 2001

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.831-839
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• 2008

The steel industry is becoming more important around the world and the demand of steel is increasing. Korea is the 5th country of steel producing in the world and the attention in the steel industry is growing. The steel industry is one of the key industry in leading the economic growth in Korea. This study attempts to analyze by time-series the economic impacts of the steel industry using an inter-industry analysis Specifically, the study investigates production-inducing effect, value added inducing effect and employ-inducing effect of the steel industry based on demand-driven model and the study deals with supply shortage effect and sectoral price effect of the steel industry by using supply-driven model and Leontief price model.

• Journal of Technology Innovation
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• v.17 no.1
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• pp.119-148
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• 2009

The paper presents and empirically tests a model of the digital contents(DC) innovation systems that enables us to study interactions between users, service providers, contents developers and network providers, and to examine the relationship between manufacturing innovation and service innovation as well as patterns of innovation in the DC industry. The framework of Gallouj and Weinstein(1997) and Gallouj(2002) is modified into the DC innovation model according to characteristics of the DC industry, that is, user involvement and network externalities. The model is applied to a case analysis that traces the growth of the online game industry in Korea since its introduction. The model offers several advantages over other approaches in understanding the dynamics in the DC industry. Most importantly, it provides a single unified basis within which both service innovation resulting from users and service providers and manufacturing innovation induced by contents developers, platform holders and network providers are analyzed. The distinction between service and manufacturing innovation is important in many ways, for instance in selecting proper government policy tools for promotion or regulation of the DC industry. Second, the Korean online game industry has experienced both radical innovation during the beginning period and non-radical innovation throughout the maturation period. The model developed herein helps to illustrate several types of non-radical innovations such as recombinative innovation that are crucial to sustainable development of the DC industry. Third, the model clarifies impacts of network externalities that are characteristics of the DC industry.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.5
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• pp.173-184
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• 2011

Today smart devices such as smart phones, smart pads and tablets have become necessities of modern people in both daily life and business as they have widely proliferated. One of the most popular application areas of smart devices is a game-related area. Among these applications social network games, played with other users through social networks, are ranked top in their popularity. Though much research of PC games and online games have been performed, little research of social network games and the factors affecting acceptance of social network games are not vigorous yet. Therefore, we aim to analyze the factors and their structural influence on acceptance of social network games. We add a couple of factors such as Social interaction, Mobility, Subjective Norm, and Flow reg arding the characteristics of social network games and analyze the structural relationships among these factors using Structural Equation Modeling. Analysis results and implications are suggested with concluding remarks.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.21-35
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• 2021

In this study, in order to find out how the quality factors of information system affected the technology acceptance model and user intention, the importance of IT security which had been recently emerged by including the security in the system, information and service is considered as the factors of information system quality. To verify how the information system quality affected the technology acceptance model and user intention, the study was conducted with expanded information system by classifying the technology acceptance model with perceived usefulness and perceived ease of use and classifying user intention with acceptance and utilization whether user had only acceptance intention or both acceptance and utilization intentions. The study results are as follows. First, the hypothesis that quality factors of information system affected the technology acceptance model significantly was partially adopted. Second, the hypothesis that the technology acceptance model affected user intention significantly was adopted.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.13-21
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• 2015

Ongoing advances in wireless broadband technologies can affect all of industrial society. As new wireless broadband technologies emerge, they will improve competition between established industries and their current services and produce new industries and new converged services. This paper analyzes the trend of next-generation wireless broadband and suggests ways of activating the industry further. To this end, we analyze the trend for previous wireless broadband industries and find out three influential factors (content, wireless network technology, and service) that will produce the continued growth of wireless broadband. Using these three factors, we propose a network technology-driven growth model. Based on that model, we offer activation plans for next-generation wireless broadband industries. This study thus provides an insightful perspective for next-generation wireless broadband industries by establishing additional useful guidelines for developing wireless broadband industries in the future.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2002.05a
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• pp.39-53
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• 2002

• Science & Technology Policy
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• v.11 no.4 s.130
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• pp.159-169
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• 2001

• Proceedings of the Korea Technology Innovation Society Conference
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• 2011.11a
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• pp.137-150
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• 2011