• Journal of Digital Convergence
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• v.16 no.7
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• pp.117-122
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• 2018

The purpose of this study is to investigate the relationship between perception, perception, and relationship quality through technical analysis of perception of southern food among college students of Namdo area. Through the analysis and empirical analysis, we tried to provide an understanding of local traditional foods and provide them as a basic data for local traditional food as a tourism resource. It directly or indirectly supports the results of previous studies. It directly or indirectly supports the results of previous studies. Therefore, the perception that can be expressed by knowing the characteristics of the local food is expressed by the continuous relationship and maintenance of the local food, so that the trust, the commitment, and the satisfaction expressed as the quality of the relationship can be expressed as the continuing relationship, maintenance and interest. If the meaning of local food and storytelling are given in order to induce growth and development of food tourism as a local food, it will be very helpful for building image of local traditional food. If local food is perceived as a favorable or unattractive attitude, it will be related to meaning and continuous interest and food and beverage behavior as local people such as active interest and pride in local food, It is believed that food will play a big role in the growth and development of tourism resources.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.37-44
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• 2020

This study aimed to explore the relationship between Intelligent Robot Reacher(IRT)-student by examining the factors of their relationship perceived by middle school students. In doing so, we developed questionnaires based on the existing teacher-student relationship scale and conducted an online survey of 283 first graders in middle school. The collected date were analyzed using exploratory factor analyses with SPSS 23 and confirmatory factor analysis with Amos 21. The study findings identified four factors of IRT-student relationship namely "trust", "competence", "emotional exchange", and "tolerance". It is expected that the study can be used to discuss ways to enhance educationally significant interaction between students-IRT and teaching methods using intelligent robots(IRs). Also, the study will contribute to the understanding and development of various services using IRs. Based on the study finidngs, future studies should investigate the perception of various education stockholders (teachers, parets, etc) on IRT to elevate the Human-Robot Interaction in the education field.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.157-166
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• 2020

This study examines the status of major corruption in the public and private sectors in Korea. This study adopts the secondary data analysis method, and uses 'The Status of Corruption in Korean Society' released by Ipsos in March 2019. The annual difference analysis is conducted to examine the trend of major corruption, and the results are as follows. First, in the public sector, the number of conspicuous crimes, such as bribery, has decreased, but intelligent crimes that are not easily detected, such as abuse of authority, are increasing. In the private sector, embezzlement was on the decline, but breach of trust remained at a certain level. Second, from 2003 to 2017, the average annual change rate of major corruption in the public sector was 8.0%, while the private sector was 1.8%. Third, the public sector has seen a slight increase in corruption except in 2015, but the private sector has been declining since 2014. This study is different as it makes academic contributions by offering three anti-corruption measures; changing the culture of high power distance, changing the culture of low corruption perception, and abolishing the culture of impunity. Empirical studies using primary data that separate the two groups are required.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.49-61
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• 2021

In a disaster situation such as COVID-19, our society has experienced the spread of the damage due to confirmed patients who have a negative or uncooperative attitude toward the disclosure of personal information. Accordingly, this study aims to find a policy direction that can improve the awareness of the disclosure of personal information about confirmed COVID-19 patients. This study classified the concept of acceptability into personal and social acceptability, and statistically verified their relationship with influential factors. In this study, 594 cases of data collected through an online survey were used. The analysis results show that the greater the trust in the government's personal information management capability, the lower the perception of the risks associated with the disclosure of personal information, and the lower the awareness of the risk, the higher the personal and social acceptability of the personal information disclosure of COVID-19 confirmed patients. In addition, the greater the recognition of the utility of personal information disclosure, the higher the perception of personal and social acceptability of the personal information disclosure. It is expected that the analysis results and discussions of this study will be useful information for policy development to create a more mature social atmosphere to reduce the public's reluctance to disclose information not only in COVID-19 but also in new disaster situations in the future.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.641-646
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• 2018

Purpose : The aim of this research was to clarify the difference in awareness of food safety and what they feel as dangerous among parents in Japan, China, and Korea and how they are different among the nations. Methods : Research subjects were 250 parents in Japan, 181 parents in China, 166 parents in Korea whose children attend a child institution or a day care center. We conducted a questionnaire survey that was self-written and anonymous. Results : Parents in Japan feel safer than Korea and China, and parents in Korea feel safer than China about food that are sold generally. Especially, in China, the average of 5 level scale was lower than the median so it shows that people do not trust food that are sold in the market. All 3 countries tend to have the awareness that "pesticide that is over the standard amount is detected from vegetables in China" and "vegetable grown without pesticides and organic produce are safe" and showed no significant difference. Also, there was a significant difference statistically for the awareness that "it makes it easier to get cancer if you eat food that contain radiation" and "there is a possibility that seafood caught near Japan contain radiation". Parents in Japan emphasize that "the price is low" the most and it was significantly higher than in China and Korea. Also, similar to parents in Japan, parents in Korea tend to emphasize that it is "domestic". On the other hand, it verified that parents in China emphasized "the meat or fish is grown without antibiotics" and "it uses vegetable grown without pesticides".

• Journal of Digital Convergence
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• v.19 no.11
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• pp.351-357
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• 2021

IoT devices, which are used in various ways in distributed environments, are becoming more important in data transmitted and received from IoT devices as fields of use such as medical, environment, transportation, bio, and public places are diversified. In this paper, as a method to ensure the reliability of IoT data, an autoencoder-based IoT-linked processing technique is proposed to classify and process numerous data by various important attributes. The proposed technique uses correlation indices for each IoT data so that IoT data is grouped and processed by blockchain by characteristics for IoT linkage processing based on autoencoder. The proposed technique expands and operates into a blockchain-based n-layer structure applied to the correlation index to ensure the reliability of IoT data. In addition, the proposed technique can not only select IoT data by applying weights to IoT collection data according to the correlation index of IoT data, but also reduce the cost of verifying the integrity of IoT data in real time. The proposed technique maintains the processing cost of IoT data so that IoT data can be expanded to an n-layer structure.

• Knowledge Management Research
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• v.23 no.1
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• pp.149-164
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• 2022

This paper analyzes the independent financial advisory business that is not yet active in Korea and proposes a plan to activate the independent financial advisory business using fintech technology. A bill was enacted in 2017 for the domestic independent financial advisory business, but it has not been activated much until now for various reasons. Although existing studies have proposed solutions in various ways, there is no clear solution yet. This paper proposes a new method of revitalizing the independent financial advisory business through fintech technology using the trust system that has recently attracted attention. Digital securities fintech technology using blockchain distributed ledger technology presents new possibilities in the real estate and music copyright markets, and related fintech venture companies continue to emerge in Korea. By combining these digital securities fintech technologies and the business process of ETF, a method was derived so that independent financial advisors can have their own financial products. The proposed model is more decentralized than the existing financial product sales structure, and presents the possibility of a protocol economy through a structure close to a private blockchain while complying with the existing financial order. This paper is meaningful in that it presented new solutions to completely different markets from information convergence perspectives on two completely different markets, and we hope that more business solutions will emerge through knowledge management activities that converge various perspectives in the future.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.29-43
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• 2022

With the advent of the Internet and the development of mobile digital devices such as smartphones and tablet PCs, the communication service paradigm began to shift from existing voice services to data services. Recently, as social network services (SNS) are activated and 4th industrial revolution technologies centered on ICT (Information and Communication Technologies) such as Big Data, Blockchain, Cloud, and 5G/6G are rapidly developed, the amount of shared data type and the amount of data are increasing rapidly. As the transition to a digital society begins actively, the importance of using data information, as well as the economic and social values of personal information are becoming increasingly important. As a result, they are actively discussing policies to revitalize the data information industry around the world and ways to efficiently obtain, analyze, and utilize increasingly diverse and vast data, as well as to protect/guarantee the rights of information subjects (providers) in various fields such as society, culture, economy, and politics.. In this paper, in order to improve the self-determination right of personal information on data produced by information subjects, and further expand the use of safe data and the data economy, a differentiated data trusts system was considered and suggested. In addition, the components and data trusts procedures necessary to efficiently operate the data trusts system in Korea were considered, and the non-profit data trusts system and the for-profit data trusts system were considered as a way to flexibly operate the data trusts system. Furthermore, the legal items necessary for the implementation of the data trusts system were investigated and considered. In this paper, in order to propose a domestic data trusts system, cases related to existing data trusts systems such as the United States, Japan, and Korea were reviewed and analyzed. In addition, in order to prepare legislation necessary for the data trusts system, data-related laws in major countries and domestic legal and policy trends were reviewed to study the rights that conflict or overlap with existing laws, and differences were investigated and considered. The Data trusts system proposed in this paper is a reasonable system that is expected to recognize the asset value of data in the capitalist market economy system, to provide legitimate compensation for data produced by data subjects, and further to contribute greatly to the use of safe data and creation of a new service market.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.297-307
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• 2022

This study examined whether there was a difference in the attitude toward the recommended product and the effect on the choice deferral according to information sources. Experiment 1 examined the relationship between trust in information and product attitude, and between uncertainty and choice deferral according to information sources (AI chatbot vs. human). Experiment 2 examined the impact of social presence, perceived personalization, and choice deferral according to whether anthropomorphism of AI chatbots or not. The research results are as follows. First, consumers were found to have a more positive attitude toward products recommended by AI chatbots (vs. human). Second, consumers were more choice deferral whether to purchase products recommended by AI chatbots (vs. human). Third, it was found that consumers' selection of products recommended by anthropomorphic AI chatbots (vs. impersonated AI chatbots) increased. Also, the implications of this study and future research directions were discussed.

• Journal of Digital Policy
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• v.3 no.2
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• pp.1-14
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• 2024

The purpose of this study was to analyze the effect of SNS marketing characteristics on hair shop image formation and visit intention in the hair beauty industry. SNS marketing is a strategy to carry out marketing activities through interaction with customers, information provision, information trust, and playfulness using modern social media platforms. It was intended to analyze how these characteristics of SNS marketing affect the formation of hair shop images and visit intention to customers in the hair beauty industry. For the study, a total of 307 customers with experience using hair-related SNS were surveyed. The questionnaire included items related to SNS marketing characteristics, hair shop images, and visit intention, and the collected data was statistically analyzed using SPSS 26.0. The results of the research problem were derived by applying analysis methods such as frequency analysis, factor analysis, reliability analysis, correlation analysis, simple regression analysis, multiple regression analysis, and mediated regression analysis. As a result of the study, it was found that information provision, information reliability, playfulness, and interaction, which are characteristics of SNS marketing, have a positive effect on the formation of hair shop images. In addition, it was confirmed that the hair shop image had a positive effect on the intention to visit. In addition, it was found that the hair shop image plays a mediating role between the SNS marketing characteristics and the intention to visit. This provides important insights that can improve image formation and customer visit intention in the hair beauty industry through SNS marketing.