100 research outputs found
Examining the effects of information sources on individual earning rates in the South Korean stock market
Since the introduction of the Korea Stock Exchange, individual investors have been some of the most important players in the stock market. With the subsequent introduction of the Internet and online trading systems in South Korea in 1997, the participation of individual investors in the Korean stock market has greatly expanded.
However, few studies have investigated their activities and earning rates. To address this research shortcoming, this study investigates the antecedents of individual investorsâ earning rates in the Korea stock market by employing multiple constructs of information channels and perceived usefulness. Structural equation modelling (SEM) analysis of survey data collected from 1555 individual investors reveals that the information quality of online trading systems and of companiesâ public announcements largely determines the individual investorsâ perceptions of their usefulness, whereas the information quality of two Internet channels (Internet news and other web pages) only moderately affects perceived usefulness. Additionally, the information quality of two TV channels significantly affects perceived usefulness, but the effects are weaker than for the other channels. In addition, our findings confirm a close relationship between the perceived usefulness of information and individual investorsâ earning rates. Last, we discuss the implications and present suggestions for
future research
Effects of behavioral risk factors and social-environmental factors on non-communicable diseases in South Korea: a national survey approach
Non-communicable diseases (NCDs) are one of the major health threats in the world.
Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This
study investigates the effects of social-environmental and behavioral risk factors on NCDs as well
as the effects of social-environmental factors on behavioral risk factors using an integrated research
model. This study used a dataset from the 2017 Korea National Health and Nutrition Examination
Survey. After filtering incomplete responses, 5462 valid responses remained. Items including
oneâs social-environmental factors (household income, education level, and region), behavioral
factors (alcohol use, tobacco use, and physical activity), and NCDs histories were used for analyses.
To develop a comprehensive index of each factor that allows comparison between different concepts,
the researchers assigned scores to indicators of the factors and calculated a ratio of the scores.
A series of path analyses were conducted to determine the extent of relationships among NCDs and
risk factors. The results showed that social-environmental factors have notable effects on stroke,
myocardial infarction, angina, diabetes, and gastric, liver, colon, lung, and thyroid cancers. The
results indicate that the effects of social-environmental and behavioral risk factors on NCDs vary
across the different types of diseases. The effects of social-environmental factors and behavioral risk
factors significantly affected NCDs. However, the effect of social-environmental factors on behavioral
risk factors was not supported. Furthermore, social-environmental factors and behavioral risk factors
affect NCDs in a similar way. However, the effects of behavioral risk factors were smaller than those
of social-environmental factors. The current research suggests taking a comprehensive view of risk
factors to further understand the antecedents of NCDs in South Korea
Facial recognition patterns of children and adults looking at robotic faces
The present study investigates whether adults and
children exhibit different eyeâfixation patterns when they
look at human faces, machinelike robotic faces, and
humanlike robotic faces. The results from two betweensubject
experiments showed that children and adults did
have different facial recognition patterns; children tended to
fixate more on the mouth of both machinelike and
humanlike robotic faces than they do on human faces, while
adults focused more on the eyes. The implications of notable
findings and the limitations of the experiment are discussed
Usability of the Stylus Pen in Mobile Electronic Documentation
Stylus pens are often used with mobile information devices. However, few studies have examined the stylusâ simple movements because the technical expertise to support documentation with stylus pens has not been developed. This study examined the usability of stylus pens in authentic documentation tasks, including three main tasks (sentence, table, and paragraph making) with two types of styluses (touchsmart stylus and mobile stylus) and a traditional pen. The statistical results showed that participants preferred the traditional pen in all criteria. Because of inconvenient hand movements, the mobile stylus was the least preferred on every task. Mobility does not provide any advantage in using the stylus. In addition, the study also found inconvenient hand support using a stylus and different feedback between a stylus and a traditional pen.This study was supported by the Dongguk University Research Fund of 2015. Support for the
University Jaume-I (UJI) Robotic Intelligence Laboratory is provided in part by Ministerio de EconomĂa y
Competitividad (DPI2011-27846), by Generalitat Valenciana (PROMETEOII/2014/028) and by Universitat
Jaume I (P1-1B2014-52)
Can Large Educational Institutes Become Free from Grid Systems? Determination of Hybrid Renewable Energy Systems in Thailand
In some countries, renewable energy resources have become one of the mainstreams of energy savings and sustainable development. Thailand is one of the major countries to use renewable energy generation facilities in public buildings. In particular, public educational institutes consume large amounts of electricity from the grid. To reduce the electricity dependency on the national grid connection and greenhouse gas emissions, this paper introduces potential optimized solutions of renewable energy generation systems for a public university in Thailand, Chiang Mai University. Based on the simulation results from HOMER software, the potential configuration organized by PV panels, batteries and converters is proposed. The suggested configuration achieves 100% of the renewable fraction with $0.728 of the cost of energy for per electricity. Moreover, the greenhouse gas emissions are significantly reduced. Both the implications and limitations are presented based on simulation results
Antecedents of Behavioral Intention to Use Mobile Telecommunication Services: Effects of Corporate Social Responsibility and Technology Acceptance
The concepts of corporate social responsibility (CSR) and user experience have been identified as core determinants of the success of service providers. Accordingly, practitioners and researchers have investigated the effects of service providersâ CSR and user experience on behavioral intention to use a particular service. Based on the importance of these concepts, the current study integrates subjective dimensions of CSR with the technology acceptance model (TAM) to explore whether the CSR efforts of mobile telecommunication services providers and the service acceptance of their customers have significant effects on behavioral intention to use a service. We apply structural equation modeling and find that two factors from the TAM (i.e., usefulness and ease of use) as well as economic, social, and environmental responsibility are significantly related to customer attitude and satisfaction. Moreover, our results show that there are significantly positive relationships between customer attitude and behavioral intention to use a service, as well as between customer satisfaction and intention. Practical and theoretical implications along with notable limitations of the current study are presented
Determinants of Behavioral Intention to Use South Korean Airline Services: Effects of Service Quality and Corporate Social Responsibility
Since the introduction of corporate social responsibility (CSR), it has become an important duty of companies and organizations. In addition, academic and industry researchers have attempted to explore the effects of corporate social responsibility on firm performance. To this end, this study examined how corporate social responsibility and service quality are notably associated with customer satisfaction and behavioral intention to use by employing a structural equation modeling method. A research model with nine constructs was introduced and the findings revealed that economic, social, and environmental responsibility, as well as in-flight service quality, significantly determined customer satisfaction, while there were notable connections between customer satisfaction and behavioral intention to use. However, service quality at airports did not have a significant effect on satisfaction. The practical and theoretical implications of the current study are discussed
Economic and environmental benefits of optimized hybrid renewable energy generation systems at Jeju National University, South Korea
In order to minimize the social and environmental concerns arising from the use of
traditional energy resources such as fossil fuels and nuclear energy, the South Korean government has
attempted to develop alternative energy resources. In particular, the large educational institutes and
islands in South Koreaâwhich have the motivation and potential to provide electrical servicesâare
required to install renewable electricity generation facilities to reduce the burden on the local grid
systems. With this trend, the current study investigates potential configurations of renewable
electricity generation systems to supply the electrical demand of Jeju National University, located on
the largest island in South Korea. The potential configurations suggested by the simulation results are
evaluated by renewable fraction, cost of energy (COE), and total net present cost (NPC). The suggested
configurations show a renewable fraction of 1.00 with COE of 0.402 per kWh and NPC of
51,795,040. Based on the results, both implications and limitations are examined.This study was supported by the Dongguk University Research Fund of 2015.
Support for the UJI Robotic Intelligence Laboratory is provided in part by Ministerio de EconomĂa y
Competitividad (DPI2015-69041-R), by Generalitat Valenciana (PROMETEOII/2014/028) and by Universitat
Jaume I (P1-1B2014-52)
Determinants for the success of regional ICT ventures: a close examination of south korea
Background
This study identifies the key motivational factors in enhancing economic performance and increasing new job opportunities for information and communication technology ventures (ICTVs) in South Korea and examines their potential causal relationships through structural equation modeling analysis on data collected from over 200 ICTVs located in Daedeok Innopolis.
Results
The results indicate that the economic performance of ICTVs is determined mainly by government support, innovation effort, and private equity and support. Government support and innovation effort are also positively associated with new job opportunities.
Conclusions
The theoretical, industrial implications of the key findings, and recommendations for the Korean government are discussed.This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2014S1A5A2A01011769). This study was also supported by the Dongguk University Research Fund of 2015
Economic Feasibility of Renewable Electricity Generation Systems for Local Government Office: Evaluation of the Jeju Special Self-Governing Province in South Korea
While environmental and energy concerns have become global issues, the government of South Korea has made notable efforts and formulated plans for the diffusion of renewable energy generation facilities for the nationâs public and governmental institutions. Accordingly, Jeju Island has become one of the most promising locations for utilizing renewable energy resources. This study aims to propose potential configurations for renewable energy generation facilities (mainly solar and wind energy facilities) in response to the electricity demand of the main local governmental offices of Jeju Special Self-Governing Province. The study utilizes the hybrid optimization of multiple energy resources software to simulate two optimized configurations for generation at a cost of energy of 0.204 per kWh (grid-connected) with 100% renewable fraction for the island. The implications of the simulation results and limitations of the study are discussed.This studywas supported by the Dongguk University Research Fund of 2015. Support for the UJI
Robotic Intelligence Laboratory is provided in part by Ministerio de EconomĂa y Competitividad (DPI2015-69041-R),
by Generalitat Valenciana (PROMETEOII/2014/028) and by Universitat Jaume I (P1-1B2014-52)
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