• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.179-197
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• 2019

Although there have been lots of studies about users' behaviors online, few have explored the mechanism of hostile behaviors. In this sense, this study aims at discovering what may elevate users' hostile behaviors. More specifically, we tried to find the relationship between flaming behavior and perception factors such as perceived risk, anonymity and expected emotional reaction. A survey was conducted to investigate the relationship of the above variables. As a result, all these variables show significant effects on flaming, and information overload are found to act as a moderator. We carefully conclude that flaming in online community can be reduced by preventing information overload each user perceives.

• STI Policy Review
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• v.9 no.1
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• pp.133-157
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• 2018

The divide between the "digital" economy and the traditional "physical" economy is outdated. In fact, we are in a transition to a singular economy. This paper classifies economic objects (including actors) as either physical or virtual and argues that due to emerging technologies, these objects are interacting with each other in both physical and increasingly digital spheres in tandem. This paper recognizes the elemental difference between atoms and bytes but argues that physical and digital economic activities are becoming inseparably intertwined. Furthermore, arbitrarily dividing the economy into two categories - one "physical" and the other "digital" - distorts the overall view of the actual execution of economic activity. A wide range of innovations emerging concurrently is fueling the transition to a singular economy. Often referred to as the elements of the Fourth Industrial Revolution (4IR), four emerging technological areas are reviewed here: distributed ledger technology, artificial intelligence/machine learning/data sciences, biometrics and remote sensor technologies, and access infrastructure (universal internet access/electricity/cloud computing). The financial services sector is presented as a case study for the potential impact of these 4IR technologies and the blurring physical/digital line. To reach the potential of these innovations and a truly singular economy, it requires the concurrent development of social, organizational, and regulatory innovations, though they lag in terms of technological progress thus far.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.163-189
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• 2018

In this study, we analyze the acceptance theories of insurance services using blockchain technology. Although insurance services using block-chain technology are still in discussion, specific development methods for service methods applying block-chain technology in insurance services are being studied. In this study, the following analysis was conducted to analyze the acceptance of insurance services using block chain technology, focusing on four factors of the UTAUT model. As a result of the analysis, the technology benefits of the blockchain affecting the performance expectations of UTAUT are security and reliability. In addition, the factors influencing UTAUT's effort expectations were found to be availability and economics. Therefore, it was found that performance expectation and effort expectation for technology acceptance are influenced by different technology benefits. Among the four factors of UTAUT, the factors affecting the insurance service using the blockchain technology are performance expectation and effort expectation, and social influence and promotion condition have no effect on acceptance intention. Also, the moderating effect of user innovation on acceptance intention of insurance service applying blockchain was significant only for effort expectation among UTAUT factors.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.1
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• pp.138-153
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• 2019

This study aimed at exploring the system of reverse logistics for clothing, which refers to the whole process of moving clothes from their final destination for the purpose of capturing value or for proper disposal. In-depth interviews were conducted with stakeholders of reverse logistics system for clothing. Out of 51 individuals contacted, 12 participated in the research, resulting in 23.5% response rate. All the stages in Korean reverse logistic system for clothing were identified, but the flow of the resources in the system was not smooth and the collectors were often illegal or unauthorized companies. Domestic markets for reused or refurbished clothing were limited, and most of the products on this stage were exported. In general, collectors and exporters of reused clothes emphasized economic value over environmental value in their business when compared to manufacturer. Most participants acknowledged the importance of information exchange, but little social interaction was found among stakeholders.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.151-154
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• 2021

State information policy is an important component of foreign and domestic policy of the country and covers all spheres of society. The rapid development of the information sphere is accompanied by the emergence of fundamentally new threats to the interests of the individual, society, state and its national security. The article considers the components of the state information policy to ensure information security of the country and identifies the main activities of public authorities in this area. Internal and external information threats to the national security of Ukraine and ways to guarantee the information security of the country are analyzed. Information security is seen as a component of national security, as well as a global problem of information protection, information space, information sovereignty of the country and information support of government decisions. Approaches to ensure the process of continuity of the information security system of the state in order to monitor new threats, identify risks and levels of their intensity are proposed.

• The Journal of Economics, Marketing and Management
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• v.9 no.4
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• pp.19-30
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• 2021

Purpose: This study aimed to examine how a superior employee's ethical leadership affects members' innovative behaviors, mainly on organization-based self-esteem. It also aimed to verify the mediating effect of organization-based self-esteem in the process that ethical leadership affects members' innovative behavior in distribution-related organizations. Research design, data and methodology: After collecting materials from companies' executives and staff members in distribution-related organizations located in Seoul, South Korea, a research hypothesis was analyzed. Results: A superior employee's ethical leadership affects a positive (+) effect on innovative behaviors of the organization's members and the study confirmed that the relation of this effect was mediated by organization-based self-esteem. It means that the possibility that an organization's members will do innovative behaviors will be increased if a leader conducts ethical leadership. It also means that a leader with ethical leadership enables an organization's members to pay attention all the time and be awake for their work environment. Conclusions: The result of this study discusses how ethical leadership affects innovative behaviors of an organization's members from the perspective of organization-based self-esteem and has a theoretical implication that it has empirically examined it. More importantly, it has a theoretical implication because it verified how this effect was made using organization-based selfesteem and flexible human resource management.

• The Korean Journal of Health Service Management
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• v.12 no.4
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• pp.31-41
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• 2018

Objectives: This study was designed to evaluate whether employment status is associated with the experience of unmet care needs. Methods: This study utilized the Korea Health Panel data from 2012 to 2016. A total of 4,083 workers were selected as baseline subjects in 2012 and were followed for four years. This study used the GLIMMIX procedure under the marginal model while adjusting for covariates. Results: A total of 12.4% of 4,083 people said they had failed at least once to have a treatment or checkup despite the needs. Those more likely to experience unmet care needs were women and people of lower income level, with worse health conditions and chronic disease. Precarious workers, the self-employed, and the unemployed were more likely to experience unmet care needs caused by economic burden than permanent workers (Odds Ratio: 2.14, 2.07, 2.74, respectively). Conclusions: This disparity means that precarious workers and the unemployed are more likely to face barriers in obtaining needed health services. Given their insecure employment status, meeting their needs for health care is an important consideration.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.750-759
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• 2020

The wide application of various integrated location-based services (LBS social) and tourism application (app) has generated a large amount of trajectory space data. The trajectory data are used to identify popular tourist attractions with high density of tourists, and they are of great significance to smart service and emergency management of scenic spots. A hot spot analysis method is proposed, based on spatial clustering of trajectory stop points. The DBSCAN algorithm is studied with fast clustering speed, noise processing and clustering of arbitrary shapes in space. The shortage of parameters is manually selected, and an improved method is proposed to adaptively determine parameters based on statistical distribution characteristics of data. DBSCAN clustering analysis and contrast experiments are carried out for three different datasets of artificial synthetic two-dimensional dataset, four-dimensional Iris real dataset and scenic track retention point. The experiment results show that the method can automatically generate reasonable clustering division, and it is superior to traditional algorithms such as DBSCAN and k-means. Finally, based on the spatial clustering results of the trajectory stay points, the Getis-Ord Gi* hotspot analysis and mapping are conducted in ArcGIS software. The hot spots of different tourist attractions are classified according to the analysis results, and the distribution of popular scenic spots is determined with the actual heat of the scenic spots.

• Human Ecology Research
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• v.57 no.3
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• pp.307-314
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• 2019

This study investigated children's friendship factors such as number of friends, friendship quality, and friends' characteristics as a function of children's sociometric status. The concordance between children's and their friends'perceptions of friendship quality was examined. Subjects were fifth grade students recruited from two public schools. The peer nomination index assessed peer rejection and acceptance. Positive and negative nominations as well as social preference identified children into rejected and popular groups. Children who nominated each other on their list of friends were considered mutual friends. Children reported the quality of their friendships using the friendship quality scale. The results showed that rejected children had fewer mutual friends compared to popular children. Rejected children as well as their friends perceived their friendships less positively. Moreover, rejected children's perception showed lower correlations with their friends'perceptions than popular children's perceptions. Furthermore, rejected children were similar with friends in respect to peer rejection level. It was concluded that rejected children's problems in their peer group and dyadic friendships may mutually influence each other. The findings from this study highlight the need for future research on friendship quality and psychosocial adjustment for rejected children.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.443-450
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• 2021

The paper investigates the factors that affect the decision of young Chinese consumers to buy high-end cosmetics. The study is based on the responses obtained by questionnaires from 400 respondents in Guangzhou, China. The information was collected and classified on the basis of gender, occupation, age and education in order to understand the main characteristics of the sample in a better way. The purposive, convenient and quota sampling techniques of non-probability sampling method were used. Besides this, the predictive test was carried out with 30 respondents to ensure the reliability and validity of the questionnaires. The data was put to descriptive statistical analysis and multiple regression analysis in order to verify the hypotheses. The data revealed that, while brand awareness does not affect the consumer attitude about the high-end cosmetics, other factors like product involvement, perceived quality, subjective norm, and word-of-mouth have significant effect on consumer's attitude and consumers' intention about high-end cosmetics. The findings of the study show that subjective norm, perceived value, word-of-mouth, and consumer attitude of cosmetic products highly affect consumers purchase intention of high-end cosmetic products. The research paper helps to form concrete and effective marketing strategy based on various aspects of consumer behavior for high-end cosmetics in China.