• Title/Summary/Keyword: Online Information Activities

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The Effect of Five-Star Franchise Hotel Chef's Empathy Leadership on Job Engagement and Team Cohesiveness

  • LEE, Dong-cheul;KOO, Dong-Woo;SHIN, Dong-Jin
    • The Korean Journal of Franchise Management
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    • v.12 no.3
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    • pp.35-46
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    • 2021
  • Purpose: The hotel industry needs a leader who can actively demonstrate leadership to respond to and accept changes in the organization in a highly competitive and fast-changing environment. Therefore, the role of leaders who instill clear vision and goals of the organization in their members, listen to their opinions, and empathize is paramount. Leaders should encourage successful organizational activities based on active participation by employees and create the best environment for working with a sense of mission and responsibility. This study aims to identify the relationship between empathy leadership and job engagement as a result variable of team cohesion in the hotel culinary department and conduct empirical studies on the role of empathy leadership and job engagement. Research design, data, and methodology: The data were collected from employees who work in culinary department at a five-star franchise hotel located in the Seoul metropolitan area. Because it is difficult to conduct a survey through face-to-face contact with employees due to the COVID-19 pandemic, the online survey was conducted from February 1 to February 28, 2020. A total of 330 questionnaires through online were distributed and 268 employees completed the survey, yielding a response rate of 81%. Of the 268 returned responses, 27 responses were not usable due to missing information. Thus, a total of 241 responses were used for analysis. Results: The study results are as follows. First, it has been shown that the empathy leadership of culinary department in hotel companies has a significant positive impact on the job engagement. Second, it has been shown that job engagement has a significant positive effect on members' team cohesiveness. Third, empathy leadership of hotel companies' culinary department has a significant positive impact on members' team cohesiveness. Fourth, job engagement has a significant positive (+) mediating effect in the relationship between empathy leadership and team cohesiveness in culinary department. Conclusion: This study supports the theory that an emotional and empathic leader's behavior or ability can change the effectiveness or atmosphere of a rapidly changing hotel culinary team organization by presenting a research model on the effect of empathic leadership on job engagement and team cohesiveness. And hotel chefs should be more aware of the importance of empathic leadership and make them a human resource of the organization through formal and informal communication with culinary employees.

The relationship between media function of internet and smartphone, and youth depression (인터넷 및 스마트폰의 미디어 기능과 청소년 우울과의 관련성)

  • Hong, Yeon Jae;Rhew, Seung Ah;Seo, Jae Sik;Kim, Yoon-Ji;Kang, Dongmug;Kim, Young-Ki;Kim, Ji-Hoon
    • Health Communication
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    • v.12 no.1
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    • pp.73-84
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    • 2017
  • Purpose: As the internet use of teenagers become more common, the need for research on the relationship between the internet and youth depression has emerged. The purpose of this study is to investigate the relationship between internet use and adolescent depression. Methods: The subjects of this study were youth attending elementary($6^{th}$ grade), middle($2^{nd}$ grade), and high schools($2^{nd}$ grade) belonging to the Busan Metropolitan City Office of Education. Depression was assessed using the BDI depression scale. Internet functions were classified into 10 categories, and the degree of use by Internet functions was examined. The most frequently used Internet sites were surveyed. Univariate analysis using $X^2$ test and multivariate analysis using logistic regression analysis were conducted to find out the difference of internet and smartphone media function on depression according to elementary, middle and high school students. Results: Depression was higher of 13.2 times for students who use online transactions (goods purchase), 0.07 times for students who use 'bulletin board' activities in elementary students. Depression was higher of 1.55 times for those who use online transactions (purchasing goods), and 2.3 times for those who use adult sites for middle school students. Depression was higher of 2.1 times when using e-mail and 1.9 times when using other information retrieval for high school students. Conclusion: It is necessary to consider characteristics of internet utilizing pattern by school class in policy regulation and prevention program to reduce youth depression.

Non-face-to-face online home training application study using deep learning-based image processing technique and standard exercise program (딥러닝 기반 영상처리 기법 및 표준 운동 프로그램을 활용한 비대면 온라인 홈트레이닝 어플리케이션 연구)

  • Shin, Youn-ji;Lee, Hyun-ju;Kim, Jun-hee;Kwon, Da-young;Lee, Seon-ae;Choo, Yun-jin;Park, Ji-hye;Jung, Ja-hyun;Lee, Hyoung-suk;Kim, Joon-ho
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.577-582
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    • 2021
  • Recently, with the development of AR, VR, and smart device technologies, the demand for services based on non-face-to-face environments is also increasing in the fitness industry. The non-face-to-face online home training service has the advantage of not being limited by time and place compared to the existing offline service. However, there are disadvantages including the absence of exercise equipment, difficulty in measuring the amount of exercise and chekcing whether the user maintains an accurate exercise posture or not. In this study, we develop a standard exercise program that can compensate for these shortcomings and propose a new non-face-to-face home training application by using a deep learning-based body posture estimation image processing algorithm. This application allows the user to directly watch and follow the trainer of the standard exercise program video, correct the user's own posture, and perform an accurate exercise. Furthermore, if the results of this study are customized according to their purpose, it will be possible to apply them to performances, films, club activities, and conferences

Big Data Analysis for Strategic Use of Urban Brands: Case Study Seoul city brand "I SEOUL U" (도시 브랜드의 전략적 활용을 위한 빅데이터 분석 : 서울시 도시 브랜드 "I SEOUL U" 사례)

  • Lim, Haewen
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.197-213
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    • 2022
  • In this study, text mining analysis was performed on online big data for recognition and assessment of urban brand I Seoul U. To this end, TEXTOM, a processing program for data acquisition and analysis was used, and the 'I SEOUL U' keyword was selected as an analysis keyword. Keyword analysis shows the keywords associated with I Seoul U to be as follows: First, as a business and marketing term, keywords include pop-up store, gallery, co-branding, (festival, etc.), commodities, private companies and online. Second, as an event-related term, keywords include Han River, tree-planting day, tree planting, Hongdae, Christmas, Mapo, Jung-gu, Sejong University, and festival. Third, as a promotional term, keywords include robotics engineer Dr. Dennis Hong, Government, Art and Korea. In the N Gram analysis, as the city brand of Seoul, I Seoul U, in the public interest, was found to contribute to the commercial activities of private companies. In connection-oriented analysis, business and marketing, events, and promotions have been derived as categories. In matrix analysis, it was found that the products of the pop-up store are mainly developed, and products in the form of co-branding were being developed. In the topic modeling, a total of 10 topics were extracted and needs for commercial utilization and information for event festivals were mostly found.

Factors Influencing the Intention to Use Digital Technology in Education (학습에서 디지털기술 사용의도에 영향을 주는 요인에 대한 분석)

  • Jang, Moonkyoung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.2
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    • pp.153-165
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    • 2022
  • The COVID-19 Pandemic incident forced all educational and learning activities to move online, so it is no longer an option to use information and communication technology for education and learning. Venture capital has made the largest investment ever in Edu-tech startups. This study investigates the factors influencing the intention to use digital technology in education, taking into account the Unified Theory of Acceptance and Use of Technology (UTAUT) along with digital literacy, which has become an essential ability in the digital age. As a result of the structural equation model analysis, we find that performance expectation, effort expectation, and social influence have a positive effect on the intention to use digital technology in education. Moreover, digital literacy has a positive effect on performance expectation, effort expectation, and social impact, but the direct effect on the intention to use digital technology on learning is not significant. Furthermore, to see the moderating effect of age, the results of multi-group analysis present that the differences between 10s and 60s, between 20s and 60s, between 30s and 60s on the path of social influence on the intention to use digital technology in education are significantly reduced. This study academically contributes to expanding the research on the factors affecting the intention to use digital technology in a specific situation of education by considering both digital literacy and Unified Theory of Acceptance and Use of Technology (UTAUT). In addition, it can be used as a practical guide to the factors to be considered for each age when making learning participants more actively use digital technology.

A Study on Continuous Monitoring Reinforcement for Sales Audit Using Process Mining Under Big Data Environment (빅데이터 환경에서 프로세스 마이닝을 이용한 영업감사 상시 모니터링 강화에 대한 연구)

  • Yoo, Young-Seok;Park, Han-Gyu;Back, Seung-Hoon;Hong, Sung-Chan
    • Journal of Internet Computing and Services
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    • v.17 no.6
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    • pp.123-131
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    • 2016
  • Process mining in big data environment utilize a number of data were generated from the business process. It generates lots of knowledge and insights regarding implementation and improvement of the process through the event log of the company's enterprise resource planning (ERP) system. In recent years, various research activities engaged with the audit work of company organizations are trying actively by using the maximum strength of the mining process. However, domestic studies on applicable sales auditing system for the process mining are insufficient under big data environment. Therefore, we propose process-mining methods that can be optimally applied to online and traditional auditing system. In advance, we propose continuous monitoring information system that can early detect and prevent the risk under the big data environment by monitoring risk factors in the organizations of enterprise. The scope of the research of this paper is to design a pre-verification system for risk factor via practical examples in sales auditing. Furthermore, realizations of preventive audit, continuous monitoring for high risk, reduction of fraud, and timely action for violation of rules are enhanced by proposed sales auditing system. According to the simulation results, avoidance of financial risks, reduction of audit period, and improvement of audit quality are represented.

Development of Smart Senior Classification Model based on Activity Profile Using Machine Learning Method (기계 학습 방법을 이용한 활동 프로파일 기반의 스마트 시니어 분류 모델 개발)

  • Yun, You-Dong;Yang, Yeong-Wook;Ji, Hye-Sung;Lim, Heui-Seok
    • Journal of the Korea Convergence Society
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    • v.8 no.1
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    • pp.25-34
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    • 2017
  • With the recent spread of smartphones and the introduction of web services, online users can access large-scale content regardless of time or place. However, users have had trouble finding the content they wanted among large-scale content. To solve this problem, user modeling and content recommendation system have been actively studied in various fields. However, in spite of active changes in senior groups according to the changes in information environment, research on user modeling and content recommendation system focused on senior groups are insufficient. In this paper, we propose a method of modeling smart senior based on their preference, and further develop a smart senior classification model using machine learning methods. As a result, we can not only grasp the preferences of smart seniors, but also develop a smart senior classification model, which is the foundation for the research of a recommendation system which will provide the activities and contents most suitable for senior groups.

Support System on the Occupational Safety and Health for Migrant Workers (외국인 근로자의 산업안전보건 지원체계)

  • Song, Yeon Yi;Kim, Hee Girl;Yi, Ggodme;Jung, Hye Sun;Kim, Hyun Li;Hyun, Hye Jin;Kim, Jeong Hee
    • Korean Journal of Occupational Health Nursing
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    • v.16 no.1
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    • pp.67-77
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    • 2007
  • Purpose: To provide concretely for support system to occupational health management grasped the present condition about the private support organizations for the migrant workers. Method: The subjects were 30 organizations to support migrant workers with the healthy and medical problem. The organizations were investigated by the internet search, and the visiting and telephone interview. Then a expert advisory conference and researchers' regular meeting were held. Result: The support organizations for the migrant workers played multiple activities, but the medical treatment and education regarding the occupational safety & health were scarcely accomplished. The government constructs a network between the organizations. A health problem of a worker should be requested to the medical centers which cooperated with the private support organizations, it makes business expand to the existing organizations which take charge of the health business of a small-scale workplace rather than it constitutes new organizations. The organizations which can manage which build the online network which can grasp all the information concerning the migrant worker from whom the government became a principal axis. Conclusion: Support system on the occupational safety and health for migrant workers that it will be help to the occupational disease prevention and occupational safety and health management, is needed.

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The Effect of Individual's Flow and Stress on Subjective Well-being in Social Network Services (소셜 네트워크 서비스에서 사용자의 플로우와 스트레스가 주관적 안녕감에 미치는 영향)

  • Koh, Joon;Lee, Sung-Jun;Lou, Liguo
    • Journal of Information Technology Services
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    • v.15 no.1
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    • pp.211-226
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    • 2016
  • Most of the SNS users argue that they feel techno-stress or digital fatigue when they use SNS. As the relationships in the SNS expand, users may feel work overload, digital fatigue, and techno-stress which are caused by the time and effort for the retaining the existing relationships established via SNS. The SNS activities require users' time and effort to update their profiles and the current news of them, responding to online friends' contents. Thus, more relationships they have, more stress they can feel. This study tries to examine the key factors that can affect subjective well-being of individuals in Social Network Service (SNS) usage. Therefore, this study, based on the previous literature, investigates what the sources of SNS stress are and how SNS stress and flow affect subjective well-being of SNS users. Major findings of this study from an empirical analysis with 201 SNS user respondents who have accessed SNS at least one time within one month are as follows. First, perceived opportunity cost and reputation recognition in SNS usage were found to have significant effects on negative emotion. Second, individual's flow in SNS was significantly affected by challenges and interactions, and had a significant impact on positive emotion. However, SNS users' flow did not show a positive relationship with their satisfaction of life. This study contributes to the expansion of theoretical discussion about the effect of individual's SNS usage on quality of life in validating whether SNS usage can bring individuals subjective well-being. Implications of the study findings and future research directions are also discussed.

An Analysis of the Effects of On-Off line Convergence Learning Activities Based on Students' Learning Styles (학습자의 학습 스타일에 따른 온-오프라인 융합 학습활동을 통한 학습 효과 분석)

  • Shin, Myeong-Hee
    • Journal of the Korea Convergence Society
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    • v.9 no.2
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    • pp.85-90
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    • 2018
  • The purpose of this study is to analyze the effect of flipped learning strategy, which is an online offline convergence learning strategy becoming a hot issue, on students' learning styles..Ultimately, the goal is to analyze the academic achievements and learning attitudes by applying the flipped learning strategy considering the preferred learning styles of Korean students. By assuming that Korean students are accustomed to traditional lecture class, it is assumed that the students would have difficulty in applying the flipped learning strategy which involves information gathering and problem solving through discussion. In order to analyze whether the application of flipped learning strategy is effective, it is necessary to identify students' preferred learning style and to develop appropriate teaching strategies accordingly.