• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.61-77
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• 2003

Finns are central economic agents that play an important role in systems of innovation as they take responsibility for generating and diffusing knowledge in both organizational and societal context. They must be considered as learning organizations which interact with other finns and institutions that share their environment. The systems of innovation literature accentuates institutional conditions that influence innovation in sectoral, regional or national levels. Meanwhile, it tends to ignore the complex dimensions of finn practices in relation to learning and innovation activities. In this context, this paper attempts to examine what finns do for sustaining innovation and how they learn to innovate. This is not just critical to know individual finns innovativeness which depends on interactions with environments within and outside the organizational boundary but also to evaluate the regional innovation system potential. In short, it is important to see that finns would attempt to take advantage of distributed knowledge within and across the boundaries of the finn without sticking to particular regional innovation systems. I argue that the more finns of a cluster attempt not only to combine localized sources of knowledge and external sources of knowledge but also to become a learning organization, the more increased regional innovation system potentials can be.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.375-378
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• 2007

2002년 이후 한국에서 유무선 통합(fixed-mobile convergence)을 주도하고 새로운 성장동력의 혁신적 유망서비스로 각광을 받아온 공중 무선랜(Public Wireless LAN) 서비스는 일종의 캐즘(chasm)이라 할 수 있는 수요확산이 정체상태에 처해있다. 즉, 공중 무선랜 서비스 초기에는 전국의 도심지역에 무선랜이용가능 지역인 hotspot 지역을 설치하고 가입자 확보를 위한 집중적인 마케팅 활동을 펼쳐왔다. 그러나 초기에 급증하던 가입자 규모는 증가추세가 둔화되어 최근에는 오히려 감소하는 상황이다. 이에 본 논문에서는 지각된 서비스 특성과 지각된 개인특성, 지각된 서비스 비효용성을 중심으로 일반인이 공중무선랜을 채택하지 않는 요인들을 구조방정식을 통하여 실증적으로 규명하였으며, 공중 무선랜의 새로운 성장을 위한 시사점을 제시하고자 한다.

• Design Convergence Study
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• v.15 no.2
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• pp.37-52
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• 2016

The purpose of this study is to suggest functional priority to increase probability to be adopted by single-person household by designating single-person household as potential early adopter of smart home service. Smart home service is spread slowly for its value. This study applied diffusion of innovations theory to solve this problem. Single-person household who has no other family member who can take care of household is chosen as potential early adopter. This study tried to find grounds of functional priorities through an online survey. The survey questionnaires were composed as following. First, representative attributes of single- person household were reviewed, then measuring questions according to the attributes were recomposed based upon preceding study. After that, concept and status of smart home service were reviewed. and smart home service functions to be measured in this study were selected through analysis based upon representative cases, then Measuring questionnaire were made were three factors which chosen by referring to preceding study about perceived attributes of innovations applied to selected functions. As a result of analyzed 62 responses, except excluded functions which has perceived any special value, set priorites with 9 functions. These functional priorities obtained from these studies will play a role as fundamental data to provide valuable service to single-person household and have a meaning as a starting point to increase rate of adoption for smart home service.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.396-404
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• 2011

With increasing of smartphone users various smartphone studies have been carried out. The purpose of this paper is to examine the factors influencing the usage intention of smartphone healthcare application. The influencing factors found from literature reviews on Technology Acceptance Model and the diffusion of innovations theory are user interface design, self-efficacy, innovativeness, and entertainment. Survey is conducted to 220 people in Seoul metropolitan area. The survey results are analyzed regarding the difference for the intention of healthcare application in accordance with respondents' demographic and application usage characteristics. We also examine the difference among four influencing factors by users and non-users. As a result there are significant differences in self-efficacy and innovativeness. This gives some implications to application developers: the system should be easy to use and provide new and useful health contents that can attract early-adopters' attention in order to increase the number of application users.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.177-180
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• 2018

우리나라는 외환위기 이후 경제가 급속도로로 발전했으나 변화하는 과정에서 여러 사회문제들이 발생했다. 저 출산 및 고령화, 환경오염, 실업률 증가, 지역 사회 붕괴, 사회적 가치 창출 및 공유 미흡등 사회적인 약자가 증가하고 그들에 대한 배려가 부족해지면서 사회적 서비스가 중요한 시대가 되었다. 사회적 기업은 영리기업과 비영리 기업의 중간 형태로, 사회적 목적을 우선적으로 추구하면서 재화/서비스의 생산 및 판매 등 영업활동을 수행하는 조직을 말한다.(사회적기업진흥원, 2017) 사회 전반적으로 사회 문제에 대한 관심과 사회적 기업에 대한 창의적인 아이디어, 도전들은 많다. 하지만 사회문제를 해결하기 위한 사회적 기업 창업을 하는 사람은 그리 많지 않는 것이 현실이다. 이러한 현실을 통해 본 논문에서는 현재 대학생, 대학원생들의 사회적 기업 창업의지에 영향을 미치는 요인들에 관하여 고찰하였다. 사회적 기업 창업과 벤처 창업 의지에 관한 선행 연구들을 바탕으로 연구를 진행 하였다. 사회적 기업 창업 의지에 영향을 미치는 영향으로는 개인적 특성(위험 감수성, 혁신 추구성, 진취성, 사회가치지향성), 사회문제 상황인식(문제인식, 관여도), 대학의 사회적 기업 정보등을 선정하였다. 이러한 요인을 바탕으로 국내 대학생과 대학원생들에게 설문조사를 진행하였으며, 설문조사 결과에 대한 신뢰성, 요인분석, 상관관계 분석 등을 통해 본 연구에서 설계한 가설을 검증해 보았다. 본 연구 결과는 향후 사회적 기업을 창업? 잠재적인 대학생 및 대학원생들의 창업을 도와주기 위한 정책적 지원을 만드는데 도움이 되며, 사회적 기업 창업에 관한 연구 확산에도 기여 할 수 있을 것이다.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.12
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• pp.329-342
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• 2021

The pharmaceutical industry is experiencing a productivity crisis with a low probability of success despite a long period of time and enormous cost. As a strategy to solve the productivity crisis, the use cases of Artificial Intelligence(AI) and Bigdata are increasing worldwide and tangible results are coming out. However, domestic pharmaceutical companies are taking a wait-and-see attitude to adopt AI platform for drug research. This study proposed a research model that combines the Value-based Adoption Model and the Innovation Resistance Model to empirically study the effect of value perception and resistance factors on adopting AI Platform. As a result of empirical verification, usefulness, knowledge richness, complexity, and algorithmic opacity were found to have a significant effect on perceived values. And, usefulness, knowledge richness, algorithmic opacity, trialability, technology support infrastructure were found to have a significant effect on the innovation resistance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.161-173
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• 2020

As ICT convergence technology has spread and applied to various industrial fields and society in general, interest in rural entrepreneurship using smart farm as a means for solving many pending problems in agriculture is increasing. In this context, this study is to look at the influential factors in terms of perceived usefulness associated with the rural entrepreneurial intention using smart farm and suggest a proposal for spreading smart farms. The subjects were 296 general adults over 20 years old who were selected by simple random sampling method. The research method was exploratory factor analysis and multiple regression analysis using IBM SPSS 22.0. The perceived usefulness of smart farm, which are availability, reliability and economic efficiency were selected as independent variables to analyze the influential factors on rural entrepreneurial intention using smart farm and the moderating effect of personal innovation was observed. As a result, reliability and economic efficiency have a positive(+) influence on rural entrepreneurial intention using smart farm. And personal innovation moderates the relationship between the availability, reliability of smart farm and rural entrepreneurial intention using smart farm. The results of this study have significance in that we devised and empirically revealed factors affecting rural entrepreneurship intentions from the perspective of perceived usefulness of smart farms, away from studies of general entrepreneurship intention factors such as internal personal characteristics and external environmental factors. The implications of the study are expected to be utilized at the seeking direction of policy for potential entrepreneur using smart farm, the training and consulting in actual field of smart farm.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.545-571
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• 2016

The development of ICT brings a big change in manufacturing industries, and new information technology such as IoT, AR, and big data was applied on manufacturing process. As a result, the concept of smart factory has been introduced as a new manufacturing paradigm. In fact advanced countries like USA, Germany, and Japan have actively introduced smart factory in their manufacturing industries such as electronic, automobile, machinery, to improve production efficiency and quality. The manufacturing environment has been changed into flexible system, so that smart factory will be leading future manufacturing industries. Thes changes have more severe influence on Korean manufacturing industries. Mny industrial companies, have a strong interest in smart factory and they, particularly big enterprises, have been adopting smart factory to increase their manufacturing efficiencies. However, Korean small and medium-sized enterprises (SMEs) have many financial and technological difficulties so that the diffusion of smart factory in Korean SMEs has not been satisfiable up to present. However, smart factory is very important for enhancing their competitiveness in global market. Therefore, this study aims at identifying the standardization strategy of smart factory in so-called Korean 'roots industry' by presuming that the standardization will activate the diffusion of smart factory among Korean SMEs. For this purpose, first, this study examines the competitiveness of SMEs, especially in 'roots industry' and identifies the necessity of diffusion of smart factory among those SMEs. Second, based on the active review on the existing literature, this study identifies four factor groups that would influence the adoption or diffusion of standardized smart factory. They are technological, organizational, industrial and policy factors. Third, using those four factors, this study made two comprehensive case analyses on the adoption and diffusion of smart factory. These two companies belong to molding sector which is one of the important six sectors in 'root industry'. Finally, based on the theoretical and empirical analyse, this study suggests four strategies for activating the standardization of smart factory; international standardization, government-leading standardization, firm-leading standardization, and non-standardization.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.38-48
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• 2020

Focusing on the situation where there are not many actual users of VR / AR, this study, from the viewpoint of technology adoption and use, explores the adoption-and-use process of AR contents that can be easily accessed by using smartphones. As a result, the factors influencing the necessity of AR contents were 'enjoyment' and 'satisfaction', and other factors, such as 'innovativeness', 'the experience of using similar media', and 'the number of AR usage', did not have significant impact on the necessity of AR contents. In addition, as a result of verifying level differences in 'enjoyment', 'satisfaction' and 'necessity' according to the experience of using AR content, only the 'enjoyment' and 'satisfaction' showed that there are differences. In other words, it can be interpreted that the users in their 20s actively use AR content only when they expect to have fun and satisfaction. To sum up, this study can provide an important implication for understanding the tendency of early AR content users' perception and usage behavior.

• Journal of Korean Library and Information Science Society
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• v.44 no.3
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• pp.471-488
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• 2013

This study aims to explore the status of next generation OPAC functionalities adopted by Korean academic libraries, and factors affecting their functionalities adoption. So 181 OPACs among 191 Korean academic libraries' OPACs are surveyed using a checklist consisting of 27 next generation OPAC functionalities. The relationships between the next generation OPAC functionalities adopted by academic libraries' OPAC and 6 factors of library, i.e., establishment, region of universities, volumes in library collection, total library expenditures, total target users, and automation solutions are analyzed by using SPSS Statistics 21. It is found that all factors except establishment of universities significantly affected the adoption of the next generation OPAC functionalities, and further detailed analysis for each factors is provided.