• Proceedings of the Korea Technology Innovation Society Conference
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• 1999.11c
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• pp.163-177
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• 1999

Science and technology are regarded as public goods and knowledge in traditional innovation theory. Also, linear innovation model and technological determinism are derived from its theory. This is changed, however, in new innovation theory. Social shaping of technology is emphasized and interaction, network, system characters of innovation process are involved in its theory.

• Journal of Korea Technology Innovation Society
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• v.3 no.2
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• pp.33-47
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• 2000

We focus on the investigations of the effect of social networks on the diffusion of innovations, in order to successfully bring innovations into markets. We begin with consideration of social system from Rogers(1995)' perspective, which includes the fifty-year sequential tradition of diffusion studies, and expand the conceptualization into a framework for thinking about the effect of social networks on the diffusion of innovations. We draw upon basic ideas from the research traditions of social network theory in sociology, and social identity theory in social psychology. Finally, we offer propositions for the future empirical researches. A better understanding of social networks can complement research on the diffusion of innovations and help in the development of a universal model of consumer response to innovations.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.101-112
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• 2017

The purpose of this study was to examine the factors affecting innovation resistance and intention of use of social TV non-users focused on innovation diffusion theory and innovation resistance model. The results were as follows: First, compatibility among perceived innovation characteristics by social TV non-users influenced negatively on innovation resistance, and complexity among perceived innovation characteristics by social TV non-users influenced positively on innovation resistance. Second, perceived risk by social TV non-users influenced positively on innovation resistance. Third, compatibility among perceived innovation characteristics by social TV non-users influenced positively on social TV intention to use. And complexity among perceived innovation characteristics by social TV non-users influenced negatively on social TV intention to use. Fourth, perceived risk by social TV non-users influenced not significantly on social TV intention to use. Fifth, innovation resistance by social TV non-users influenced negatively on social TV intention to use.

• Journal of Distribution Science
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• v.15 no.6
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• pp.13-24
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• 2017

Purpose - The current study aims to examine the effect of social network factors on travel agency employees' occupational outcomes such as job performance and job satisfaction through innovation behavior in a comprehensive model. Research design, data, and methodology - Based on a theory of social network, the concept of social network was assessed by three factors: a) network size, b) network range, and c) tie strength. To test the proposed hypotheses, structural equation modeling (SEM) was employed based on data from 197 travel agency employees in Korea. Result - The results showed that the associational activity of network size had a positive effect on innovation behavior, while the network range of network size had a significant negative effect on innovation behavior. Subsequently, innovation behavior positively influenced on job performance and job satisfaction, respectively. Conclusions - The results offer some insights into the extended model and have important managerial implications for Korean travel agencies. More specifically, considering diverse domains of social network and organizational research, this study advances critical utility of social network factors in a high facilitating level of innovation behavior, which can help travel agency employees promote their job performance and job satisfaction.

• Journal of Science and Technology Studies
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• v.2 no.1 s.3
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• pp.39-61
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• 2002

This study reviews the emergence of new innovation policy paradigm in advanced countries and their impacts on the development of innovation theories in 1980s and 1990s. It shows that the characteristics of new policy paradigm are the emphasis on the user-orientedness and the socio-economic aspects of innovation and the preference of capability enhancement of innovators over resource subsidy This new perspectives of innovation policies had effects on the emergence and development of 'the innovation system theory' which is based on the key concepts such as interactive teaming, innovating capability and national systems of innovation. In spite of the development of the innovation system theory, it has some problems to be solved for the innovation policy design because 'the social' is still peripheral factors in the constitution on the innovation system theory. This study makes some suggestions to incorporate the social dimension of innovation into the innovation system theory.

• Journal of Technology Innovation
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• v.12 no.1
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• pp.135-160
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• 2004

We witness now the changing techno-economic paradigm and the emerging learning economy. Reflecting on these changes, the group of Evolutionary Economists study recently the theory on regional innovation system, but their research results are still now not theoretically ‘systemized’. Moreover, they often indeed speak of the ‘social capital’, but do not investigate that. This paper tries to systemize their empirical findings and theoretical results and integrate the discussions on social capital in fields of sociology into a mathematical model. This study emphasizes the role of social capital in the innovating process.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.267-278
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• 2010

The study has following objectives: First, an objective of this studies proves relations between a entrepreneurship and an innovation performance. Second, in innovation performance relationships of social capital this studies proves a mediating effects of a social capitall through theory study, an empirical analysis. In accordance with results of a hypothesis verification, first, a entrepreneurship affects positively a innovation performanc. Second, in accordance with analysis results of a social capital, an entrepreneurship, a innovation performance verified a mediating effects of a social capital. This results mean that the more a social capital an organization has among members, the higher an innovation performance.

• Journal of Distribution Science
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• v.11 no.6
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• pp.21-30
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• 2013

Purpose - This paper examines product design management, the current design focus of which has shifted to the need to produce innovation applications that can effectively respond to the market's consumption changes in a timely manner. Research design, data, methodology - This study discusses several methodologies that are widely used in experimental processes, such as fuzzy theory, multi-criteria decision-making theory, and managing decision making. The designers will better understand their customers by applying these methodologies. This study examines how the current trend in product innovation design observes customer needs, controls innovation, and stimulates design ability. Results - This paper takes innovative telephone design as an experimental case to investigate how to create a product using market-oriented and customized management concepts and creative design abilities. Conclusions - If accompanied by an innovative product value chain, a product can further the development of enterprise management, now the main element of every developed country's social and economic development.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.888-914
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• 2017

The main aim of this study is a meta-theoretical investigation to explain the current theoretical landscape of social innovation theories and researches. First of all, this paper makes a typology of social innovation based on concepts and sectors of social innovation. Second, in terms of societal innovation, which it is a kind of social innovation systematic approach, this paper draws some implications for social innovation policy. My key argument is that social innovation could be specified in three different sectors, public innovation, market innovation, and social economy innovation. However, all of them have attention to such as improving a quality of life and making society more sustainable, so it can be argued that those different sectors are structured on social innovation altogether with common goals. Finally, in order to activate the social innovation ecosystem, the government has to play a key role as a facilitator to make sustainable networks and a governance of social innovation that is needed to coordinate between different features and roles of social innovation sectors.

• Journal of Distribution Science
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• v.22 no.1
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• pp.37-46
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• 2024

Purpose: This study aims to address the overlooked micro-level aspects within Smart Manufacturing (SM) research, rectifying the misalignment in manufacturing firms' estimation of their technological adoption capabilities. Drawing upon the Social-Technical Systems (STS) theory, this paper utilises innovation capability as a mediating variable, constructing a human-centric organizational model to bridge this research gap. Research design, data and methodology: This study collected data from 233 Chinese manufacturing firms via online questionnaires. Introducing innovation capability as a mediating variable, it investigates the impact of social-technical system dimensions (work design, social subsystems, and technical subsystems) on SM adoption willingness. Smart PLS 4.0 was employed for data analysis, and Structural Equation Modelling (SEM) validated the theoretical model's assumptions. Results: In direct relationships, social subsystems, technical subsystems, and work design positively influence firms' innovation capabilities, which, in turn, positively impact SM adoption. However, innovation capability does not mediate the relationship between technical subsystems and SM adoption. Conclusions: This study focuses on the internal micro-level of organisational employees, constructing a human-centric framework that emphasises the interaction between organisations and technology. The study fills empirical gaps in Smart Manufacturing adoption, providing organisations with a means to examine the integration of employees and the organisational social-technical system.