• International Journal of Internet, Broadcasting and Communication
• /
• 제11권4호
• /
• pp.59-64
• /
• 2019

The purpose of this research is to examine the relationship between corporate social responsibility (CSR), green supply chain management (GSCM) practices, and business performances. After reviewing the extensive literature, we developed a research model including five constructs: CSR, GSCM practices, environmental, economic and operational performances. We conducted the statistical analyses based on the primary data collected from a survey questionnaire, responded by 93 different company managers in the Republic of Guatemala. Furthermore, we utilized structural equation modeling to analyze the data and to test the hypotheses. The results of the analyses showed that there is a significant influence of CSR on the adoption of GSCM practices. It was also found that GSCM practices have a significant influence on environmental, economic and operational performances. In addition, environmental performance has a significant impact on economic and operational performance. Finally, GSCM has a mediating role on the relationship between CSR and environmental and economic performance, but not with operational performance.

• International Journal of Internet, Broadcasting and Communication
• /
• 제13권4호
• /
• pp.90-96
• /
• 2021

The logistics market is continuously growing due to the development of technology and the growth of the online market. In addition, the social atmosphere that emphasizes non-face-to-face due to the pandemic situation is accelerating the growth of logistics. Delivery of goods ordered online requires delivery process through courier worker. In order for the courier worker to ship the product, the work of loading the product on the truck must be preceded. The accident caused by such delivery and loading work is increasing and it is emerging as a social problem. This study proposes a robot-based automated loading system to efficiently handle the increasing volume of courier service and to construct a more efficient and safe working environment by replacing the physical labor that was overloaded to courier workers. The proposed system replaces the loading of the courier worker and proposes the optimal loading function through the automation system.

• International Journal of Internet, Broadcasting and Communication
• /
• 제14권2호
• /
• pp.98-108
• /
• 2022

In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

• International Journal of Internet, Broadcasting and Communication
• /
• 제13권2호
• /
• pp.267-275
• /
• 2021

The advent of the "un-tact 2.0 era," described as a "new normal non-face-to-face social relationship," accelerates the transformation of the living paradigm as a fully digital mediated social relationship. The emergence of these new forms of digital behaviors and mediated relationships significantly influences the industry prospect and consumers' individual lives. Advertising has played a decisive role in moving the formation forces of society, creating a dynamic flow of the capitalist system across races and geographical boundaries. Its role will become more fundamental in the physical contactless environment due to the COVID-19 outbreak. Accordingly, advertising has changed and modified its shape and meaning throughout history to adapt to the dynamic external environment. In this article, we illustrated four primary stages of the evolution in the advertising industry from simple advertising to convergence of advertising. Finally, we also identified the challenges of the present advertising industry and the paradigm transformation of "un-tact 2.0" with various related examples.

• 한국안전학회지
• /
• 제35권2호
• /
• pp.67-75
• /
• 2020

Due to various industrial accident that occur to the staff in the broadcasting production sites, the issue of safety at the broadcast production site is becoming a social issue. Nevertheless, not many researches have been carried out on the actual conditions of the staff's production environment and its safety issues. Therefore, the purpose of this study was to prepare a countermeasure based on engineering knowledge by analyzing working environment to improve the poor working environment of staff. First, this study analyzed statistical data of industrial accidents over the past five years to find out the current status of disasters at broadcasting production sites. As a result, the intensity of the accident was not weak in that the loss days was more than one month in 85% of accident. In addition, the type of accident was high in the fall/trip accidents. Second, this study visited 10 broadcasting production sites for risk assessment. By analyzing the characteristics of the working environment and 104 questionnaires, we predicted the types of accidents that can occur in the broadcasting production site. As a result, accident types such as fall, collision, and trip were relatively high, similar to the characteristics of construction site. Third, it was possible to quantify the scale of the risk in the broadcasting production, and as a result, the quantity of temporary structure and accident risk were proportional. In other words, this study analyzes broadcasting work environment and defines risk factors based on safety engineering knowledge. Finally, this study suggested a guideline to improve the safety of the broadcasting production site.

• International journal of advanced smart convergence
• /
• 제9권3호
• /
• pp.272-283
• /
• 2020

Hashtags (#) have received a great deal of attention from academia and industry as an effective digital tool for engaging social media users and facilitating electronic word-of-mouth for brands. We delved into motivations concerning people's brand-related hashtag-posting behavior on social media. The findings revealed three motivations for posting brand-related hashtags on social media: social acceptance, brand altruism, and incentive seeking. Additionally, we examined the relationships between motivations and brand relationship variables. The results showed that social acceptance and brand-related altruism predicted all of the five relationship variables (i.e., brand attitude, brand trust, brand affective and calculative commitment and brand loyalty), while incentive-seeking predicted brand calculative commitment and brand loyalty. The findings of the study provide some meaningful insights into the development of brand communication strategies and help marketers capitalize on social media platforms to achieve higher user involvement.

• 한국인터넷방송통신학회논문지
• /
• 제14권2호
• /
• pp.161-166
• /
• 2014

스마트 기기 사용의 증가는 많은 사회적 변화를 가져왔다. 특히 교육에서는 보다 높은 학습효과를 위하여 스마트 기기 적용을 연구하여 왔다. 그러나 인문교양은 전통적인 교육 패턴 뿐만 아니라 과목이 가지는 특성 때문에 정보통신에 적용하기가 매우 어려운 분야였다. 본 연구에서는 인문교양 과목을 디지털 방송에 적용하고 그 효과를 증대시키기 위한 방안을 제시하려 한다. 이를 위하여 인문교양의 스마트 콘텐츠 제작 및 연계 방안을 제시하고, 그 실효성을 위하여 디지털 방송에 적용하는 방안에 대한 설문을 통해 적용 가능성을 제시하고자 한다.

• International journal of advanced smart convergence
• /
• 제10권4호
• /
• pp.1-13
• /
• 2021

In today's media environment, TV programmers and advertisers must strive ever harder to attract the attention of audiences. Yet what may be even more crucial is engaging audiences in conversations on social media and nourishing stronger relationships. To provide insights into how to improve audience experiences through social media television coviewing (STVC) behaviors, this study investigates audience motivations for using social networking sites (SNSs) while watching sports program (i.e., social media television coviewing-STVC) and examines relationships between identified motivations and key audience engagement outcomes. The results reveal four motivations for STVC behaviors: sports-related interaction seeking, information seeking, convenience seeking, and socializing. Further, results reveal that sports-related interaction seeking, information seeking, and socializing motivations are significant predictors of satisfaction, investment, and commitment to the program. Audience engagement outcomes are not predicted, however, by convenience seeking or by variables pertaining to SNS-use regarding STVC behaviors.

• International Journal of Internet, Broadcasting and Communication
• /
• 제15권3호
• /
• pp.211-218
• /
• 2023

Due to the implementation of COVID-19 distancing, interest and users in 'home training' are rapidly increasing. Therefore, the purpose of this study is to identify the perception of 'home training' through big data analysis on social media channels and provide basic data to related business sector. Social media channels collected big data from various news and social content provided on Naver and Google sites. Data for three years from March 22, 2020 were collected based on the time when COVID-19 distancing was implemented in Korea. The collected data included 4,000 Naver blogs, 2,673 news, 4,000 cafes, 3,989 knowledge IN, and 953 Google channel news. These data analyzed TF and TF-IDF through text mining, and through this, semantic network analysis was conducted on 70 keywords, big data analysis programs such as Textom and Ucinet were used for social big data analysis, and NetDraw was used for visualization. As a result of text mining analysis, 'home training' was found the most frequently in relation to TF with 4,045 times. The next order is 'exercise', 'Homt', 'house', 'apparatus', 'recommendation', and 'diet'. Regarding TF-IDF, the main keywords are 'exercise', 'apparatus', 'home', 'house', 'diet', 'recommendation', and 'mat'. Based on these results, 70 keywords with high frequency were extracted, and then semantic indicators and centrality analysis were conducted. Finally, through CONCOR analysis, it was clustered into 'purchase cluster', 'equipment cluster', 'diet cluster', and 'execute method cluster'. For the results of these four clusters, basic data on the 'home training' business sector were presented based on consumers' main perception of 'home training' and analysis of the meaning network.

• 한국인터넷방송통신학회논문지
• /
• 제16권6호
• /
• pp.225-230
• /
• 2016

최근 네트워크와 인터넷의 발전으로 웹상에 대용량의 데이터가 생겨났으며, 이를 처리하기 위해 빅데이터 기술이라는 패러다임이 생겨났다. 빅데이터 기술은 기존의 정형 데이터뿐만 아니라 소셜 데이터 등 다양한 비정형 데이터를 이용해 다각적이고 정확한 분석을 목표로 연구되고 있다. 그러나 소셜 데이터는 전문성과 객관성을 가지고 있다고 보기는 힘들고 정보의 조작 및 은폐, 왜곡 등의 문제성이 제기되고 있다. 따라서, 본 논문에서는 신뢰성 빅데이터 플랫폼에 대하여 제안하며, 세부 관리자와 모듈에 대하여 설명한다. 본 논문에서 제안하는 신뢰성 빅데이터 플랫폼은 데이터 정제 관리자, 데이터 분석 관리자, 상호 신뢰 관리자, 시각화 관리자, 검색 관리자로 구성되어진다.