• Journal of Korea Trade
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• v.27 no.3
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• pp.147-160
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• 2023

Purpose - This paper aims to investigate the competitiveness and complementarity of the agricultural products trade between Korea and Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) countries. The study evaluates the opportunities and challenges that Korea's agricultural sector faces after joining the CPTPP, and suggests strategies to deepen cooperation and expand Korea's agricultural products trade. Design/methodology - To achieve these objectives, we analyze the trade competition and cooperation relationship between Korea and CPTPP countries in the agricultural products trade. This study uses data from Chapters HS1-24 in UN Comtrade from 2012 to 2022, and applies the indices of revealed comparative advantage, export similarity, and trade complementarity to examine the trade dynamics. Furthermore, we use an Autoregressive Integrated Moving Average (ARIMA) model to predict the agricultural products trade complementarity index between Korea and CPTPP countries from 2022 to 2031. Findings - The findings of our analysis reveal that Korea's agricultural products trade competitiveness is weak compared to that of CPTPP countries, and Korea's agricultural products are at a competitive disadvantage. On the whole, the similarity index of agricultural products trade exports between Korea and CPTPP countries is low, the structure of agricultural products export is quite different, and trade competition is relatively moderate. The trade complementarity index between Korea and CPTPP countries is generally high, with strong complementarity and a large space for cooperation and development. The ARIMA model shows that in the next ten years, although the agricultural products trade complementarity index fluctuates, but is generally high, there will still be a complementarity advantage in the future. Originality/value - This study is the first attempt to investigate the competitiveness and complementarity of the agricultural products trade between Korea and CPTPP countries. We also introduce an ARIMA model to forecast and analyze the future agricultural products trade complementarity index. Our study provides new perspectives and solutions for the future development of Korea's agricultural products trade after joining the CPTPP.

• Knowledge Management Research
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• v.23 no.4
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• pp.1-19
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• 2022

As the untact culture spreads, the digital divide, which is a problem of access to digital information for the vulnerable, can appear as information inequality in various fields, including the social and cultural field. This study identified the digital divide level for the vulnerable population and analyzed the effects of information accessibility, demographic and social characteristics, and physical and mental health characteristics on the information level. As a result, the higher the accessibility of information, the smaller the digital divide and the greater the digital utilization, so it is necessary to increase the accessibility of information devices and increase the ability to utilize them. In addition, the higher the age, the more women than men, and the lower the income level, the greater the digital divide, so it is necessary to increase digital capabilities through detailed class-specific programs for the vulnerable. Finally, it was found that the digital divide and the level of digital literacy had a significant effect on the life satisfaction and daily life satisfaction of the vulnerable. The expansion of competency-building education programs to enhance information utilization capabilities by changing the paradigm to a digital inclusion policy should be continuously operated.

• Journal of Korean Association for Spatial Structures
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• v.22 no.4
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• pp.15-22
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• 2022

Micro-climate measurements and computational fluid analysis were conducted to use it as basic data for the preservation and management of the old house of Kim Myung-kwan, a traditional building that is National Folk Cultural Property No. 26. As a result of the actual measurement, the temperature and humidity are relatively evenly distributed indoors unlike outdoors, but the temperature and humidity vary depending on the time change and the installation location in the outdoors. It was found that the temperature increases after dawn and the temperature varies depending on the installation position around 14:00-15:00, when the temperature becomes the highest. In particular, the temperature was high at the outdoor measurement point adjacent to the building and the fence. As a result of the computational fluid analysis, the temperature was high in the buildings and fences in the old house or in the area adjacent to the building, and it was about 1℃ higher than the surrounding area. In this area, it is judged that the thickening of wood will occur more severely than in other locations, and special preservation management is required.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.439-441
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• 2023

National park is one of the important types of protected area management systems established by IUCN and a management model for effective conservation and sustainable use of natural and cultural heritage in countries around the world, and it assumes important roles in conservation, scientific research, education, recreation and driving community development. This study takes Liaohe National Park in China, a typical representative of global coastal wetlands, as a case study, and uses python technology to collect travelogues and reviews of visitors from Mafengwo.com, Ctrip.com, Go.com, Meituan.com and Dianping.com as a source, and the text spans from 2015 to 2022. The results show that wildlife resources, natural landscape with river and sea, wetland ecology and fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park. However, there is still much room for improvement in terms of supporting services and facilities, public education and tourists' experience and participation in Liaohe National Park. In this paper, we use python data visualization technology to study the public perception of wetland wildlife as the theme, and grasp the satisfaction, spatial distribution, activity content and emotional tendency of the public in the process of wetland wildlife as the theme, so as to better promote the Liaohe National Park to better carry out the public experience while strictly adhering to ecological protection, and to provide the Liaohe National Park with a better opportunity to This will provide scientific basis for the Liaohe National Park to play a better role in ecological civilization construction and education of ecological civilization awareness.

• Asia Marketing Journal
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• v.11 no.2
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• pp.1-20
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• 2009

Feng Shui practice is very popular in East Asia and has been rapidly adopted by the population of the West. As Feng Shui involves knowledge of object placement, it opens opportunities to market Feng Shui knowledge and products. This paper presents an analysis of a successful Feng Shui enterprise, World of Feng Shui (WOFS), that has been established by a well-known Feng Shui expert Lillian Too and her daughter Jennifer Too. The enterprise's marketing strategies and tactics are tied to the theoretical concept of social influence, widely researched in the consumer behavior literature. The three types of social influence (informational, utilitarian, and value-expressive) are examined in relation to WOFS' marketing strategies using secondary data material. The main results indicate that the strategies of WOFS enterprise address all three types of social influence. The articles generated on-and off-line can be mostly associated with the informational influence. The off- line activities such as events, courses/workshops, and TV shows are also informational in nature. The Q & A sections/postings can be considered as representative of the utilitarian influence. They give experts (e.g., Lillian Too) the opportunity to provide individuals with problem-specific recommendations. Mega-mall website provides the value-expressive influence as purchase and consumption of the Feng Shui products is most susceptible to this type of influence. In terms of implications, WOFS enterprise strategies are suitable not only for consumes but also for business executives in Asia and in the West as architects, designers, and homeowners across continents use Feng Shui practices for building placements and decoration of dwellings and workplaces. Feng Shui practice has some limitations such as conflicting opinions of experts and increased complexity when the dimension of time is taken into consideration. Still, Feng Shui as a practice is growing globally adjusting itself to regional and cultural challenges.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.329-349
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• 2023

With the rapid development of information and communication technology, the speed of data production has increased rapidly, and this is represented by the concept of big data. Discussions on quality and reliability are also underway for big data whose data scale has rapidly increased in a short period of time. On the other hand, small data is minimal data of excellent quality and means data necessary for a specific problem situation. In the field of culture and arts, data of various types and topics exist, and research using big data technology is being conducted. However, research on whether basic information about culture and arts institutions is accurately provided and utilized is insufficient. The basic information of an institution can be an essential basis used in most big data analysis and becomes a starting point for identifying an institution. This study collected data dealing with the basic information of culture and arts institutions to define common metadata and constructed small data in the form of a knowledge graph linking institutions around common metadata. This can be a way to explore the types and characteristics of culture and arts institutions in an integrated way.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.199-208
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• 2023

The National Health Insurance Corporation reported a 24.3% increase in young diabetes patients, rising to 3,564,059 in 2021 from 2017, which is attributed to factors like irregular eating patterns, heightened stress, and insufficient physical activity. Diabetes, which is increasing in all age groups, requires medication, regular exercise, and dietary management. Of these aspects, dietary therapy demands systematic management as it involves ensuring sufficient calorie intake and a balanced consumption of the three major nutrients. The current diabetes diet recommendations consider personal, health, social, and cultural factors, yet they fall short of addressing various health variables comprehensively. Therefore, this paper proposes a diet recommendation system using life log data from diabetic patients, which recommends customized dietary suggestions according to the individual's health status by considering multiple variables in the data.

• Asia-Pacific Journal of Business
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• v.14 no.3
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• pp.115-147
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• 2023

Purpose - This study examines previous research on organizational silence for several decades since the concept of organizational silence was firstly suggested in 2000. In this study, based on previous studies on organizational silence published in domestic and international journals from 2010 to 2022, research trends were analyzed, issues were derived, and future research was suggested. Design/methodolgy/approach - The authors searched relevant keywords such as organizational silence, employee silence, employee voice and so on in the domestic as well as international academic database. 63 domestic papers were found, and based on these articles, we analyzed the research trends. Findings - Similar variables were proven with only different contextual samples without any originality in the theoretical perspective. Moreover, studies on the causal relationship between each type of organizational silence and the occurrence of organizational silence over time were also insufficient. In addition, because research on public organizations was limited to police officers and public officials, future research is needed to investigate more different organizational situations. Furthermore, other variables such as personal characteristics and leadership factors were also relatively unexplored. Based on these limitations, future research is needed to consider more diverse demographics, Korean cultural factors, organizational characteristics, and the patterns changes in time. Research implications or Originality - This study suggests limitations as well as future directions by summarizing the previous research on organizational silence which is an emerging issue in global societies and the organizational management filed.

• Journal of the Korean Society of Food Culture
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• v.39 no.1
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• pp.1-12
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• 2024

Food is essential for sustenance and reflects a country's identity, making it crucial to identify the cultural needs for effectively localizing Korean food. This study surveyed 825 adults from four continents (eight countries) to examine their preferences, familiarity, and attitudes toward Korean food. Significant correlations(p< .001) were found between the familiarity and preference for Korean food, with variations observed across continents. Among the representative Korean food items, the average preference score was 4.67, and the purchase/recommendation intention score was 4.88. Seven items received above-average ratings (e.g., gogi-deopbap and kimchi-bokkeumbap), while some items showed high liking but low purchase/recommendation intention (e.g. dak-jjim and galbi-jjim). In addition, items such as gimbap and tteokbokki had high purchase/recommendation intention but low liking, and kimchi and vegetable foods etc. received low liking and purchase/recommendation intentions. In terms of the preferred meat according to the cooking method and seasoning, beef respondents preferred grilled·stir-fried and soup·stew·hot pot cooking methods, while pork or chicken respondents preferred grilled·stir-fried and frying methods. Soy sauce was the most preferred seasoning for all meat responses, followed by red pepper paste. These research findings provide fundamental data for developing Korean food products, segmented by continent.