- P-ISSN1738-6764
- E-ISSN2093-7504
- KCI
ISSN : 1738-6764
Vol.19 No.1
Abstract
Although globalization gives us a more efficient product system, recent collapse of the Global Value Chain raises a severe problem for a company's sustainability. This study aimed to identify supportive activities of industry-level value chain using social network analysis. We used reported transaction data from a Koreancredit rating company in the investigation. By applying analysis of structural equivalence, we classified some companies in the transactional network. In addition, we identified the group classified as supportive activities in the industrial value chain using network parameters. This result will provide vital information to establish corporate-level strategies considering their industry-level value chain. Moreover, this result is a starting point to classify primary activities in the industry-level value chain accurately.
Abstract
This study aimed to reinvestigate four political roles and impacts of internet—mobilization, reinforcement, equalization, and normalization, focusing on the case of politically-themed stocks on YouTube. Results indicated that YouTube was useful in terms of increasing specific candidates’ visibility, which might lead to popularity. However, such visibility does not always have a remarkable impact. For a better understanding of the impact of societal issues, multi-directional and multi-modal approaches might be needed.
Abstract
Implementation of 3D modeling design through morphological systematization represents a cuttingedge design methodology. However, this innovative approach has yet to establish a cohesive theoretical framework. Therefore, this paper utilized principles of Gestalt psychology as a foundation for significant research. By analyzing characteristics of organizational principles, the following eight essential keywords related to morphological systematization were proposed: “similar color,” “similar size,” “similar shape,” “distance,” “response,” “directional,” “overlapping,” and “incomplete.” These keywords were then synthesized to construct a morphological system framework that could allow content developers to aesthetically investigate various forms of 3D modeling and assess the strength of their formative attributes.
Abstract
Children's understanding and inheritance of traditional Chinese culture and innovation of Chinese children's picture book art form are of great significance to carry forward traditional culture and strengthen confidence in Chinese culture. As an excellent traditional Chinese opera art, Beijing Opera has an indispensable cultural status. The purpose of this study was to determine cognitive needs of children in view of simplified display form of children's picture books in China through decomposition, extraction, reconstruction, and integration of the Peking Opera character modeling elements, the use of modern design concepts, and the combination of artistic characteristics of picture books. It explored new ideas for the development of traditional culture, proposed application principles, and suggested strategies for the form innovation of children's picture books to make Beijing Opera enter children's life from the traditional stage.
Abstract
interpersonal understanding, and problem solving ability of nursing students with a non‐equivalent control group pretest‐posttest design. Subjects were senior nursing students enrolled in a simulation course. A total of 91 participants were divided into an experimental group (n = 44) and a control group (n = 47). The former consisted of teams of three to four students who experienced 15 sessions of team‐based simulation learning for 8 weeks, while the latter received sessions of individual simulation learning. A survey regarding team efficacy, interpersonal understanding, and problem solving ability was conducted for the two groups before and after the treatment. Collected data were analyzed using SAS 9.2. The experimental group with team‐based simulation learning exhibited a significant improvement in team efficacy after learning compared to the control group with individual simulation learning (t = 3.63, p ≤ 0.001). The level of interpersonal understanding also increased after learning for both experimental and control groups. The between‐group variation was insignificant. The level of problem solving ability was increased to a greater extent for the experimental group than the control group, while the increase for the experimental group was statistically significant (t = 3.43, p ≤0.001). Team‐based simulation learning was shown to be an effective learning method to enhance the team efficacy, interpersonal understanding, and problem solving ability of nursing students.
Abstract
This study aimed to determine variables affecting intention to vaccinate against COVID-19 by applying the Health Belief Model and to examine how online information regarding negative effects of COVID-19 vaccines could affect intention to vaccinate. Major research findings are as follows. First, individuals who believed that they had a greater likelihood of becoming infected with COVID-19 (perceived vulnerability) were less willing to be vaccinated after acquiring negative information about COVID-19 vaccines. On the other hand, individuals showed a greater willingness to be vaccinated when they believed that their lives would be greatly affected by the COVID-19 pandemic (perceived seriousness). Second, perceived benefits of COVID-19 vaccines were found to increase the intention to vaccinate regardless of viewing negative information on COVID-19 vaccines. Therefore, it is important to disseminate accurate information based on evidence to increase public awareness about risks of COVID-19 and the importance of herd immunity. In addition, to improve vaccination rates in the future, it is necessary to provide information on the prevention effect of the vaccine on mutations of the COVID-19 virus.
Abstract
Empathy topic becomes popular among many areas of studies such as literature, psychology, education, design, and others. In those areas, most research topics were either unapproachable to normal users or too comprehensive for academic scholars. For instance, given empathy definitions vary from different publications. Empathy and sympathy-related distinction and comparison are also difficult topics for many scholars throughout history. Based on such reality, the aim of this study was to narrow down empathy topic into a specific area with an intuitive way for users to digest its essential knowledge visually. Body gestures acting as a nonverbal language could potentially act as causes of empathy or connect with the procedure of empathy engagement if the empathetic gesture could benefit animators by offering emotion to its character performance regarding empathetic gestures. This study also determiend typical gestures and academic evidence behind such findings. We first determined academic correlation between two concepts - gesture and empathy. We then proposed empathetic gesture guidance with four categorized directions to express empathetic gestures supported by evidence in gesture and empathy-related literature. Based on such presumption, this study invited 13 animation major participants for an experiment. It captured representative empathetic gesture-related photos and a series of empathy-related keywords followed by the proposed empathetic gesture guidance. Experiment results were then analyzed and discussed. It was found that a series of empathetic keywords and gestures could be potentially important for animators to create character animation with empathetic feelings.
Abstract
The transparency of government transactions can increase citizens’ trust, employees’ productivity, and national economic development. Blockchain technology is a known disruptive technology that can enable the achievement of such transparency. Facilitated by its capabilities and types, blockchain empowers organizations to deploy solutions in accordance with their needs while maintaining the integrity of all records stored in their ledger. It also makes it quite reliable for managing the value-chain of public sector organizations. Similarly, e-Government has been an effective tool for decades for transparent public service delivery and governance cost reduction among other benefits for nations. This study aimed to examine factors that could hinder the success of Blockchain technology and e-Government convergence in Nigerian public sector using both primary and secondary data. To ascertain these factors, the Technology Acceptance Model (TAM) was used, data collected were analyzed using statistical models and hypothesis testing. Findings reveal the willingness of users to adopt and use the technology if it is useful and could solve the problem for which it is designed, if there are regulations guiding their usages, and if it is easy to use. The study ends with specific conclusions and recommendations based on research findings.