• Journal of the Korean Society of Visualization
• /
• v.20 no.2
• /
• pp.21-27
• /
• 2022

Air purifiers can be placed where the air cleaning is required, making it easy to manage indoor air quality. The position of the air purifier affects the indoor airflow pattern, resulting in different air cleaning efficiency. Many efforts and strategies have been examined through numerical simulations and experiments to find the proper location of the air purifier, but problems still remain due to the various geometrical indoor spaces and arrangements. Herein, we develop an artificial intelligence model to predict the performance of an air purifier depending on the installation location. To obtain the training data, numerical simulations were performed on the different locations of the air purifiers and airflow patterns. The trained artificial intelligence model predicted the air exchange performance depending on the installation location of the air purifier with a prediction accuracy of 92%.

• Nuclear Engineering and Technology
• /
• v.54 no.10
• /
• pp.3943-3948
• /
• 2022

Single-photon emission computed tomography is one of the reliable pin-by-pin verification techniques for spent-fuel assemblies. One of the challenges with this technique is to increase the total fuel assembly verification speed while maintaining high verification accuracy. The aim of the present study, therefore, was to develop an artificial intelligence (AI) algorithm-based tomographic image analysis technique for partial-defect verification of fuel assemblies. With the Monte Carlo (MC) simulation technique, a tomographic image dataset consisting of 511 fuel-rod patterns of a 3 × 3 fuel assembly was generated, and with these images, the VGG16, GoogLeNet, and ResNet models were trained. According to an evaluation of these models for different training dataset sizes, the ResNet model showed 100% pattern estimation accuracy. And, based on the different tomographic image qualities, all of the models showed almost 100% pattern estimation accuracy, even for low-quality images with unrecognizable fuel patterns. This study verified that an AI model can be effectively employed for accurate and fast partial-defect verification of fuel assemblies.

• Asian Journal for Public Opinion Research
• /
• v.10 no.2
• /
• pp.123-146
• /
• 2022

This study aims to identify the effect of the relationship between human resources management (HRM) and total quality management (TQM) on improving employee performance. Several previous qualitative studies have stated that TQM and HRM are separate methods. This article describes a new method using a quantitative approach. This research is needed to fill the gap in the literature by empirically analyzing the relationship between HRM, TQM practices, and organizational performance. Data was collected quantitatively from 100 employees in Indonesia through questionnaires and online survey methods. The data collected were analyzed using structural equation modeling (SEM) with the Lisrel 8.5 system. TQM-oriented HRM is operationalized as a second-order latent variable measured by four factors (training, empowerment, teamwork, compensation). The findings support the validity of the TQM-oriented HRM model as a hierarchical, second-order latent construct and show a strong relationship with employee performance. The results of this study are different from previous studies, which showed that TQM and HRM are separate methods. The results of our research provide an academic and practical overview that TQM-oriented HRM can be used to help organizations build platforms for human resources policies aimed at improving employee performance.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.9
• /
• pp.217-227
• /
• 2022

With the aim of examining the effects of implementing international financial reporting standards (IFRS) on teaching accounting and auditing at universities and colleges in Vietnam, a case study was conducted at 30 universities, colleges, and 208 lecturers in Vietnam. Next, the study employed the structural model analysis method by PLS_SEM software to process and analyze the collected data. The research results show that: (1) There are eight factors that affect how IFRS is applied to teaching, including the training program, (ii) teaching staff, (iii) IFRS application regulations, (iv) related party requirements, (v) faculty/school administrators, (vi) teaching aids, (vii) IFRS teaching methods, and (iii) students; (2) there are three factors that affect the quality of teaching staff, including applying IFRS to teaching at the university and colleges, (ii) Regulations on the application of IFRS, (iii) Requirements from related parties. At the same time, the study also shows that, regarding the indirect relationships, applying IFRS to teaching does not play an intermediary role in these relationships. However, at the 10% significance level, it was found that there is an indirect relationship between regulations on the application of IFRS by the Ministry of Finance and the quality of teaching staff through the variable applying IFRS to teaching.

• Journal of Distribution Science
• /
• v.20 no.9
• /
• pp.109-126
• /
• 2022

Purpose: The role of salespersons' emotions in effective selling behavior garners attention among scholars and practitioners. Previous studies have investigated the effects of emotional intelligence and emotional labor on sales success separately. However, to understand the whole process, the relationships among salespersons' cognition, emotions, and behaviors should be considered simultaneously. Accordingly, we uniquely examined how salespersons' emotional intelligence (emotional antecedent) and customer orientation (cognitive antecedent) influence their emotional labor (deep acting vs. surface acting), adaptive selling behavior, and the selling results in the retail environment. Research design, data, and methodology: To improve methodological rigor, we used the dyadic approach. We measured 182 salespersons' emotional intelligence, customer orientation, and emotional labor, and 364 customers assessed the salespersons' adaptive selling behavior and selling results in the insurance and duty-free department retailing sectors. Result: The findings suggest that salespersons' customer orientation and emotional intelligence relate to deep-acting of emotional labor, affecting their adaptive selling behavior and relationship quality with customers. Conclusions: As for managerial implications, sales managers may well consider emotional intelligence levels when selecting salespersons in the retail industry. Additionally, practical training programs are required to cultivate customer orientation, emotional intelligence, and deep acting while performing emotional labor.

• Journal of IKEEE
• /
• v.27 no.3
• /
• pp.280-287
• /
• 2023

Deep learning advancements can solve computer vision problems, but large-scale datasets are necessary for high accuracy. In this paper, we propose an image generation technique using object bounding boxes and image edge components. The object bounding boxes are extracted from the images through object detection, and image edge components are used as input values for the image generation model to create new image data. As results of experiments, the images generated by the proposed method demonstrated similar image quality to the source images in the image quality assessment, and also exhibited good performance during the deep learning training process.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.5
• /
• pp.345-354
• /
• 2022

The importance of the public sector's role in fostering a positive business climate has prompted public sector organizations to consistently enhance their performance. The study aims to develop service orientation dimensions for public sectors and examine the relationship between service orientation and organizational performance. A field survey was employed in this study. Six hundred questionnaires were distributed, and four hundred and eighty-eight were returned and analyzed. Factor analysis and multiple regression analysis were used in the dataset. This study identifies five dimensions of organizational service orientation in public sector service organizations: technology-service standard-communication, service vision, service delivery, service training and powering, and servant leadership. The result also concludes that service orientation influences organizational performance, such as corporate growth, service quality image, IT effectiveness, service innovation, and public complaint. This study's findings imply that public sector organizations should rectify service orientation factors to increase corporate growth, service quality image, IT effectiveness, service innovation, and public complaint reduction. Managerial guidelines are presented for developing a service orientation.

• International Journal of Computer Science & Network Security
• /
• v.23 no.6
• /
• pp.162-168
• /
• 2023

This article presents an examination of the major cognitive-semantic theories in linguistics (Langacker, Lakoff, Fillmore, Croft). The CST's foundations are discussed concerning the educational policy changes, which are necessary to improve the linguistic disciplines in the changing context of higher education, as well as the empowerment and development of the industry. It is relevant in the light of the linguistic specialists' quality training and the development of effective methods of language learning. Consideration of the theories content, tools, and methods of language teaching, which are an important component of quality teaching and the formation of a set of knowledge and skills of students of linguistic specialties, remains crucial. This study aims to establish the main theoretical positions and directions of cognitive-semantic theory in linguistics, determine the usefulness of teaching the basics of cognitive linguistics, the feasibility of using methods of cognitive-semantic nature in the learning process. During the research, the methods of linguistic description and observation, analysis, and synthesis were applied. The result of the study is to establish the need to study basic linguistic theories, as well as general theoretical precepts of cognitive linguistics, which remains one of the effective directions in the postmodern mainstream. It also clarifies the place of the main cognitive-semantic theories in the teaching linguistics' practice of the XXI century.

• Journal of Korean Society for Quality Management
• /
• v.51 no.2
• /
• pp.247-261
• /
• 2023

Purpose: This study investigates the relationship between service compensation, consumer sentiment and revisit intention for service recovery in the Chinese foodservice industry, and the moderating effect of employee authenticity. Methods: Data were collected from people who experienced eating out in a city located in central China, and the hypothesis was verified through multiple regression analysis and hierarchical regression analysis. Results: The results indicate that the specificity of compensation affects both positive and negative emotions of customers, and the activeness of compensation also influences positive emotions of customers. Also, employee autheticity moderates the effect of specificity of compensation on customers' positive emotions. Both positive and negative emotions of customers influences revisit intention. Conclusion: These results show that the role of service compensation is important in service recovery in the rapidly expanding Chinese foodservice industry. In addition, since the sincerity of employees plays an important role in maximizing the recovery effect in the process of service recovery, it suggests that it is important not only to improve services in the quantitative aspect but also in the qualitative aspect through employee training.

• International Journal of Advanced Culture Technology
• /
• v.11 no.4
• /
• pp.255-262
• /
• 2023

The purpose of this study was to clarify the concept of LGBT cultural competence in nurses. This study used Walker and Avant's 8 steps of conceptual analysis. The specific steps are: (1) selecting the concept, (2) selecting the purpose of concept analysis, (3) identifying the scope of concept use, (4) identifying the determinant attributes of the concept, (5) presenting model cases, (6) additional cases of the concept (boundary cases, opposite cases, and related cases), (7) identifying antecedents and consequences, and (8) presenting empirical evidence. As a result, five attributes of nurses' LGBT cultural competence were identified in the final 12 articles: cultural experience and cultural acceptance, cultural knowledge, cultural attitude and awareness, and cultural skills. Antecedents included diversification of society, heteronormative healthcare environment, continuing education and training, intercultural understanding, and open-mindedness. Outcomes of cultural competence were identified as reducing LGBT health inequalities and providing quality care. In conclusion, this study contributes to providing a basis for improving the quality of nursing care by providing more culturally appropriate care to the target population through conceptual analysis and understanding of nurses' LGBT cultural competence. Furthermore, it is necessary to continue research on the development of tools to measure nurses' LGBT cultural competence and the development of nursing intervention programmes that can be applied in nursing practice.