• 융합경영연구
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• 제8권3호
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• pp.23-36
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• 2020

Purpose: The purpose of this study is to identify the strategic direction of organizations and their employees to efficiently utilize smart factories and enhance business performance among Korean manufacturing companies. Research design, data, and methodology: We derived a structured research model to check the mediated effect of utilization of smart factory between the characteristics of smart factory and the innovation activities. Results: Quality characteristics of smart factory and Innovation activities were all found to have a statistically significant effect on utilization of smart factory, utilization of smart factory was found to have a statistically significant effect on the business performance. And it has been shown that the utilization of smart factory is partially mediated relative to the quality characteristics of smart factory and business performance and relative to innovation activities and business performance. Conclusions: Smart factory builders can reflect the areas that affect utilization of the smart factory in their strategies by considering the quality characteristics of the smart factory and innovation Activities. Therefore, smart factory builders can identify the quality characteristics of smart factory and reflect them in the process and analyze active utilize measures through the innovative activities of the employees of the organization, thereby influencing business performance.

• 지역연구
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• 제35권3호
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• pp.25-32
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• 2019

도시문제 해결과 함께 4차 산업혁명의 신(新)성장동력 창출을 위해 세계적으로 스마트시티의 전략적 가치가 증대하고 있다. 우리 정부는 2003년 '유비쿼터스 도시(U-City)'를 한국의 고유 스마트시티 브랜드로 도입하여 추진하였다. U-City의 한계 극복을 위해 2018년 백지상태 부지에 4차 산업혁명기술의 테스트베드로서 국가 시범도시(세종 5-1생(生), 부산 EDC; Eco Delta City) 조성을 포함한 「스마트시티 추진전략」이 수립 및 발표되었다. 이후 국내외 변화된 여건과 그간의 정책에 대한 평가를 바탕으로 도시성장단계별(신규-기존-노후) 맞춤형 스마트시티 조성·확산 정책을 제시하고 있다. 스마트시티 조성 및 확산은 혁신 생태계 구축 및 글로벌 이니셔티브 강화를 위한 중장기 로드맵으로 제3차 스마트도시 종합계획('19~'23)을 중점으로 추진되고 있다. 아울러, 정부는 스마트시티 정책을 추진하는 데에는 시민, 민간기업, 지자체 등 다양한 주체가 함께 참여하여 따뜻한 삶의 공간으로 열린 도시이자 포용 도시로서 스마트시티를 조성 및 추진하는 것이 중요할 것으로 판단된다.

• International Journal of Internet, Broadcasting and Communication
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• 제14권3호
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• pp.91-100
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• 2022

Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.

• 한국학교ㆍ지역보건교육학회지
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• 제16권3호
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• pp.17-29
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• 2015

Objectives: The purpose of this study is to examine the trend of adolescent's smart phone addiction researches from 2012 to 2014 in Korea, and to propose further study for prevention of adolescent's smart phone addiction. Methods: Subjects were 169 researches about adolescent's smart phone addiction from 2012 to 2014 in Korea, and the theme was summarized as following: variables associated with adolescent's smart phone addiction, prevention and intervention strategies of it, the status and development of adolescent's smart phone addiction scale, awareness and prevention of smart phone addiction. Results: As a result of this study, 63.3% were as the most source of researches in 2014, and master's thesis was 74.6 percent. According to the theme of research, the most effects on smart phone addition is self-control and parenting and the most relational variables with smart phone addition are anxiety and parenting. The most affected by smart phone addiction is adaption of school life and conversational breakdown. The studies about prevention of smart phone addiction and intervention examine the effect of therapy program and group consultation. Conclusions: The educational program for using smart phone should be made and applied for preventing adolescent's smart phone addiction.

• 한국IT서비스학회지
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• 제17권3호
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• pp.157-169
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• 2018

This study aims to examine the factors influencing user attitude toward Smart Home service as the demand of Smart Home service is increasing and it somewhat involves privacy risk. To this end, the research model includes five independent variables, trust in service provider, perceived privacy risk, self efficacy, interpersonal influence, and external influence, influencing the attitude toward Smart Home service. So, this study aims to analyze which variable is the most critical and influential among the five factors and suggest the direction of Smart Home industries. This study first reviews the literature on Smart Home services and describes its Korean situation. Data were collected from residents living in a smart apartment complex. The results show that (1) users have a very positive attitude toward Smart Home service in total, (2) trust in service providers, self efficacy, and interpersonal influence positively impact user attitude toward Smart Home service and interpersonal influence is the most influential variable, however, (3) perceived privacy risk and external influence dose not significantly impact it. These results imply that the role of service providers, self efficacy, and interpersonal influence are important factors on the user attitude toward Smart Home service. Finally, the study's findings and limitations are discussed and potential avenues for future research are suggested.

• Journal of Smart Tourism
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• 제3권2호
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• pp.15-21
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• 2023

This paper presents a conceptual approach to Smart Tourism Design based on semiotic affordances theory. This conceptual approach repositions smart tourism from a techno-centric perspective that frames a seamless connection between the device and its software, to a more human-centric perspective that favors the user's needs, desires as perceived through the senses. An updated Smart Tourism Design emphasizes the aesthetic dimension of smart tourism that presents the objects of the travel experience as destination specific rather than universal, through representations as digital artifacts. This theory is based on an empirical and objective understanding of representations and how they can be identified as useful in the digital augmentation of travel experiences. Using Peirce's sign systems and Gibson's theory of affordances, smart tourism can transcend a prefabricated device-oriented experience to a closer dynamic and direct interaction between the user and the travel destination. Researchers and developers can use semiotics as a structural approach to recognizing objects as sign-types, and they can use affordances to better identify the immediacy of digital artifacts and purpose-driven by users' spontaneous and immediate motives.

• Journal of Smart Tourism
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• 제3권4호
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• pp.17-21
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• 2023

This research note aims to provide a critical understanding of "tourist stupidity" and "exclusiveness" within the smart tourism domain and to propose a corresponding qualitative research agenda. It argues that qualitative research methodologies are too infrequently applied, leading to a paradox evident in smart tourism studies. Accordingly, it suggests that embracing a qualitative perspective is essential to diversify the scholarly discourse and promote advanced inquiry in the field of smart tourism. It further seeks to contribute to ongoing debates by focusing on umbrella terms, such as "tourist stupidity" and "exclusiveness," for a more nuanced and holistic understanding of smart tourism and proposes a research agenda that advocates a re-evaluation of qualitative approaches.

• Journal of Smart Tourism
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• 제3권1호
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• pp.35-39
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• 2023

This research note probes the largely ignored sphere of smart tourism curriculum as destinations and institutions seek to develop graduates ready to embrace the demands and challenges of future work environments where technology has a ubiquitous presence. This knowledge gap is somewhat surprising, even as destinations progress towards smart tourism futures, without necessarily clarifying what human resources need to possess in the coming decades. Drawing from available smart tourism curriculum across the globe, and emergent trends associated with Generation Alpha and Beta, this research note paints a timely picture of how smart tourism curriculum should be designed and developed to meet the needs of industry and consumer demands and expectations.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.388-393
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• 2024

The convergence of machine learning and smart farm is becoming more and more important. The purpose of this research is to quantitatively analyze machine learning and smart farm with bibliographic data from 2013 to 2023. This study analyzed the 251 articles, filtered from the Web of Science, with regard to the article publication trend, the article citation trend, the top 10 research area, and the top 10 keywords representing the articles. The quantitative analysis results reveal the four points: First, the number of article publications in machine learning and smart farm continued growing from 2016. Second, the article citations in machine learning and smart farm drastically increased since 2018. Third, Computer Science, Engineering, Agriculture, Telecommunications, Chemistry, Environmental Sciences Ecology, Material Science, Instruments Instrumentation, Science Technology Other Topics, and Physics are top 10 research areas. Fourth, it is 'machine learning', 'smart farming', 'internet of things', 'precision agriculture', 'deep learning', 'agriculture', 'big data', 'machine', 'smart' and 'smart agriculture' that are the top 10 keywords composing authors' keywords in the articles in machine learning and smart farm from 2013 to 2023.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.221-226
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• 2020

Smart homes have become the state of the art in the reduction and monitoring of energy usage within a residential setting. Emerging threats such as climate change, global warming and volatility in energy prices have fuelled the interest in smart systems. Given that environmental sustainability has become a more significant factor for consumers, this research examines whether consumers' attitudes toward smart home services for efficient energy management differ according to their regulatory focus. Specifically, it is predicted that consumers will have more favorable attitudes toward smart home services for efficient energy management when they are promotion-focused (vs. prevention-focused). The results indicate that respondents with a promotion (vs. prevention) focus reported significantly more favorable attitudes toward smart home services for energy management (e.g., smart cooling/heating system, smart ventilation & air conditioning system, smart thermostats, smart plugs, and smart switches). We suggest that regulatory focus may be an effective marketing and segmentation tool in promoting smart home services for energy management and facilitating their receptiveness to the services.