• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.111-121
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• 2020

This study analyzed the effects on system quality, learning commitment, and satisfaction in a mobile environment. A survey was conducted on 192 students enrolled in K University, and the research results are as follows. first, it was found that usefulness had an effect on learning commitment, but connectivity and reliability did not affect learning commitment. second, it was found that the usefulness and connectivity of the system quality had a significant effect on the satisfaction of use. third, the intermediary effect of learning immersion was verified as the connectivity, reliability, and usefulness of the system quality influence the satisfaction of use. connectivity and reliability had no mediating effect of learning commitment, and usefulness was found to play a partial mediating role in affecting user satisfaction. This study is meaningful in that it can provide a plan for improving the quality management of mobile learning and improving the learning effect by analyzing the effects on mobile learning from multiple perspectives.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.777-786
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• 2021

The main purposes of this study are (1) to investigate the extent and level of corporate social responsibility (CSR) practices of the hotel in Thailand, (2) to test the different level of CSR practices of the hotel between CSR-in-process and CSR-after-process, and (3) to examine the effect of CSR practices on hotel's performance measured by balanced scorecard (BSC). This study employs survey data collected from 402 owners and executives of hotels in Thailand. Descriptive analysis, paired sample t-test, correlation matrix, and multiple regression were used to analyze the data from the mailed questionnaire. The results show that both CSR-in-process and CSR-after-process practices of hotels were at a high level. However, the level of CSR-in-process practice of hotels was significantly higher than CSR-after-process practice. Moreover, the study found the positive effect of both CSR-in-process and CSR-after-process practices on hotel performance measured by BSC. The results of sensitivity analysis also show the positive effect of CSR-in-process and CSR-after-process practices on each of all six perspectives of BSC. The findings of this study can point to the reasonable reason why hotels should implement CSR practices into their business strategies. In addition, the study demonstrates that stakeholder theory can explain the effect of CSR practices on corporate performance.

• Journal of KIBIM
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• v.9 no.4
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• pp.31-40
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• 2019

With Building Information Modeling(BIM) becoming the de facto standard for data sharing in the AEC industry, additional needs have increased to ensure the data integrity of BIM models themselves. Although the Industry Foundation Classes provide an open and neutral data format, its generalized schema leaves it open to data loss and misclassifications This research applied deep learning to automatically classify BIM elements and thus check the integrity of BIM-to-IFC mappings. Multi-view CNN(MVCC) and PointNet, which are two deep learning models customized to learn and classify in 3 dimensional non-euclidean spaces, were used. The analysis was restricted to classifying subtypes of architectural walls. MVCNN resulted in the highest performance, with ACC and F1 score of 0.95 and 0.94. MVCNN unitizes images from multiple perspectives of an element, and was thus able to learn the nuanced differences of wall subtypes. PointNet, on the other hand, lost many of the detailed features as it uses a sample of the point clouds and perceived only the 'skeleton' of the given walls.

• Journal of Distribution Science
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• v.19 no.9
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• pp.5-17
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• 2021

Purpose: As mobile devices are commonly used and contact-free services are widespread due to the COVID-19 pandemic in the recent distribution environment, this study suggests retail strategies for consumers using high-speed railways. To this end, we analyzed how consumer perception on technologies necessary for use of mobile apps is related to the attitude that drives consumers to continue using the app services. Research design, data and methodology: Based on the extended unified theory of technology acceptance and use of technology model by Venkatesh, Morris, Davis and Davis (2003), we added variables proposed by existing theories that studied the technology acceptance model from multiple perspectives and empirically analyzed the relationship between user satisfaction and use intention with structural equation modeling. Results: As expected, factors necessary for the use of app services such as performance expectancy, social influence, price value, facilitating conditions, security, and aesthetics had positive effects on user satisfaction, whereas the effect of effort expectancy on user satisfaction was rejected. And user satisfaction was found to have a significant effect on intention to use. Conclusions: The results provide implications that strategic retail management of the above factors can motivate passengers to continuously use high-speed railways.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.343-362
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• 2022

Amidst the Covid-19 pandemic, human resources play a vital role in the health industry because the staff all has to confront a lot of stresses in serving the country and the people to overcome the severe contagiousness and infection of the virus. It is also the case of Family General Hospital, Da Nang (Vietnam). Therefore, the Hospital identifies talented personnel as a core resource in its sustainable development strategy. Researching on how to retain talented staff to serve the sustainable and long-term development of a private hospital such as Family Hospital is extremely necessary, especially when there are fewer large and modern private health facilities for the healthcare system in Central Vietnam compared to the North and the South. With the analysis of survey data and in-depth interviews from both qualitative and quantitative perspectives (via SPSS 20.0), especially the ANOVA and EFA analyses, and linear multiple regression (Generation 1 methods), this study aims to clarify the aspects that affect the talent retention in the representative Family Hospital. The lessons learned have been a good reference for similar private healthcare models in the process of bringing health-related services to a new level in the competition.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.11-21
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• 2022

The perspectives on aging women's financial security during their retirement years are based on their behavior, planning, and decision-making processes during their working years. Elderly women are considered vulnerable and have a longer life expectancy, lower-income, and limited financial understanding compared to males; therefore, drastic steps need to be taken to improve their financial stability and quality of life. The current study sought to determine the most important contributors to retired women's financial health by measuring the value of four factors/variables: capability, opportunity, willingness, and biopsychosocial. This study used a mixed model approach, with qualitative analysis in the first phase involving a focus group discussion session, a pilot analysis, and quantitative analysis for phase two involving the distribution and collection of questionnaires completed by retired women. The surveys were distributed across Malaysia in five distinct zones and yielded 339 usable replies to support the theory. The outcomes of the Multiple Regression Analysis in Malaysia revealed that capability, opportunity, and biopsychosocial factors are significant predictors of retired women's financial security, whereas the willingness indicator lacked statistical significance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1833-1848
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• 2022

Named entity recognition (NER) is an important basic task in the field of Natural Language Processing (NLP). Recently deep learning approaches by extracting word segmentation or character features have been proved to be effective for Chinese Named Entity Recognition (CNER). However, since this method of extracting features only focuses on extracting some of the features, it lacks textual information mining from multiple perspectives and dimensions, resulting in the model not being able to fully capture semantic features. To tackle this problem, we propose a novel Multi-view Semantic Feature Fusion Model (MSFM). The proposed model mainly consists of two core components, that is, Multi-view Semantic Feature Fusion Embedding Module (MFEM) and Multi-head Self-Attention Mechanism Module (MSAM). Specifically, the MFEM extracts character features, word boundary features, radical features, and pinyin features of Chinese characters. The acquired font shape, font sound, and font meaning features are fused to enhance the semantic information of Chinese characters with different granularities. Moreover, the MSAM is used to capture the dependencies between characters in a multi-dimensional subspace to better understand the semantic features of the context. Extensive experimental results on four benchmark datasets show that our method improves the overall performance of the CNER model.

• The Journal of Industrial Distribution & Business
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• v.13 no.2
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• pp.17-31
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• 2022

Purpose: The purpose of this study is to analyze factors affected by the ICT utilization with perspectives of employees (Study 1) and customers (Study 2) that are rarely approached in previous studies. In particular, this study examined how proposed factors on ICT utilization affect employee satisfaction, organization performance, customer satisfaction, and purchasing decision making. Research design, data and methodology: This study conducted an online survey to measure the effects. Cronbach's alpha was applied to test reliability and factor analysis was applied to check validity. Multiple regression analysis and ANOVA were applied to test hypotheses. Results: The results of this study found that the effects of self-development and organizational innovation on employee satisfaction were significant for study 1, while the effects of product satisfaction, promotional offers, and customer communication on purchase decision making were significant for study 2. Conclusions:This study provides managerial and policy implications. At the management level, it is necessary to make specific strategies to improve employee and customer satisfaction and organization performance associated with the utilization of ICT. The results of this study suggest that better policy should be prepared by government to foster utilization of ICT infrastructure and to enhance better relationships with employees and customers.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.17-28
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• 2024

Purpose: This paper is designed to deliver a deeper understanding of the implications of digitalization strategies in the tourism industry, exploring the opportunities and challenges in South Korea. Research design, data and methodology: To identify effective strategies, an integrated approach is employed in the research that encompasses the Glocal RPM analysis and SANEL HERMES model, as well as the examination of digital tourism factors within the DIANA economy. The data used for this study were derived from multiple sources, including literature review, participation interview, tourist survey and expert questionnaire. By conducting a tourist survey using questionnaires in this research, Glocal RPM and SANEL HERMES hybrid method is used identifying and classifying influencing factors limiting digitalization in tourism. As a final step, experts use a Quantitative Strategic Planning Matrix to propose, assess, and rank a number of digitalization strategies. Results: According to the analysis, the study revealed that combining both tools contributes to a more holistic understanding of the environment, uncovering the positives and negatives from diverse perspectives. The average satisfaction percentage of experts was determined to be 38%, indicating anatal level of digitalization for tourism industry in South Korea. Conclusions: These results can serve as a valuable guide for policymakers and stakeholders in formulating targeted strategies to enhance glocalization, rationality, professionalism, and morality within the digitalization context.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.17-29
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• 2023

The safe operation of military aircraft is crucial for national defense to prevent unnecessary loss of combat power. With the advancement of technology, the proportion of accidents caused by mechanical defects is decreasing compared to the beginning of aviation history, but the proportion of accidents caused by human factors is increasing. Therefore, it is necessary to identify factors that enhance flight safety behavior from various perspectives and explore related mechanisms. In this study, we examined the relationship between Air Force aircrew's calling and their flight safety behavior. With a sample of 357 Air Force aircrew, we found a significant positive relationship between calling and flight safety behavior, with affective commitment and moral duty mediating this relationship in parallel. We discussed theoretical and practical implications of the study based on these results.