• Journal of Distribution Science
• /
• v.11 no.12
• /
• pp.51-62
• /
• 2013

Purpose - A pre-study on service quality-based customer value is conducted with the path structure (perceived value of service quality→customer satisfaction→behavior intention) based on the hierarchical model of service quality including interaction and outcome quality, physical environment quality and the SERVQUAL model of process quality, namely, reliability, responsiveness, assurance, empathy, and tangibles. In addition, customer value in the service industry is studied by dividing into the two-way structure of utilitarian and emotional values. This study classifies customer values of family restaurants through the customer value model based on the 4×4 matrix needs system of Jeon and Kim (2009). It illustrates the path structure of customer value→customer satisfaction→behavior intention targeting college students in order to generalize the customer value system of family restaurants. Research design, data, and methodology - This study established seven hypotheses based on the relationship between each type of customer value (food quality, convenience, social, emotional, interior quality, service encounter, and purchasing) and customer satisfaction, and the relationship between customer satisfaction and behavior intention. The study data were collected from students in the Department of Business and Tourism at Kimpo University. In all, 294 survey papers were returned of the 300 distributed: 253 pieces were used in the final analysis excluding 41 with insufficient and less effective answers. For statistical analysis, the statistics software package SPSS 15.0 was used. Results - The results of the analysis are as follows: first, the customer values of family restaurants are classified by seven customer values: goods quality value, emotional value, convenience value, social value, purchasing value, service encounter value, and inner quality value. Second, emotional value, purchasing value, service encounter value, and inner quality value had positive impact on customer satisfaction. In particular, purchasing value through being included in functional value was not classified in the previous study; however, this study could classify and generalize this value in a new way. Finally, customer satisfaction had a positive impact on behavior intention. This showed that college students had behavior intention - repurchase intention and word-of-mouth - because they could be content with the food items on the menu and the service provided by employees. Conclusions - The main points based on the above-mentioned results are as follows. This study with college students as study subjects could be classified into four dimensions, namely, generic value, usage value, purchasing value, and physical value and seven sub-dimensions on customer values of family restaurants based on a 4×4 matrix needs system. Then, to confirm its generalization, the path structure of customer value→customer satisfaction→behavior intention was verified. While existing pre-studies used simplified values by classifying restaurant values largely as utilitarian value and hedonic value, this study classified various forms of customer value, and that customer value especially could be expanded by adding purchasing value. As a result, it is shown that marketers need to diversify their customer services because this study proved that customer values can be classified in various ways based on customer needs.

• Asian Journal of Business Environment
• /
• v.13 no.2
• /
• pp.9-20
• /
• 2023

Purpose: This study aims to map the spatial distribution of poverty using nighttime light satellite images as a proxy indicator of economic activities and infrastructure distribution in D.I Yogyakarta, Indonesia. Research design, data, and methodology: This study uses official poverty statistics (National Socio-economic Survey (SUSENAS) and Poverty Database 2015) to compare satellite imagery's ability to identify poor urban areas in D.I Yogyakarta. National Socioeconomic Survey (SUSENAS), as poverty statistics at the macro level, uses expenditure to determine the poor in a region. Poverty Database 2015 (BDT 2015), as poverty statistics at the micro-level, uses asset ownership to determine the poor population in an area. Pearson correlation is used to identify the correlation among variables and construct a Support Vector Regression (SVR) model to estimate the poverty level at a granular level of 1 km x 1 km. Results: It is found that macro poverty level and moderate annual nighttime light intensity have a Pearson correlation of 74 percent. It is more significant than micro poverty, with the Pearson correlation being 49 percent in 2015. The SVR prediction model can achieve the root mean squared error (RMSE) of up to 8.48 percent on SUSENAS 2020 poverty data.Conclusion: Nighttime light satellite imagery data has potential benefits as alternative data to support regional poverty mapping, especially in urban areas. Using satellite imagery data is better at predicting regional poverty based on expenditure than asset ownership at the micro-level. Light intensity at night can better describe the use of electricity consumption for economic activities at night, which is captured in spending on electricity financing compared to asset ownership.

• The Journal of Industrial Distribution & Business
• /
• v.10 no.5
• /
• pp.67-76
• /
• 2019

Purpose - The Korean child welfare services may have different feelings between providers and users. Few studies on the child welfare service quality have been conducted and research on the coorientation model of child welfare services are nonexistent. We compared the perceptions of Korean child welfare service providers and users in this study. It will have many applications in the service quality fields by applying a coorientation model. Research design, data, and methodology - In order to enhance user satisfaction with child welfare services, around 200 samples were carried out both in Busan and Kyungsangnamdo randomly. Seven point Likert scale was used in the questionnaire. Two measurements were made to evaluate the different positions on the part of child welfare service providers and users to assess their mutual orientation. Paired t-test verification was conducted for congruency analysis, and the verification of agreement and accuracy was analyzed by independent t-tests. Results - We empirically examined the differences between the providers and the users stance. The results are as follows. We have verified the statistical significance of the difference in perception between providers and users. We also confirmed a degree of agreement, a degree of congruency, a degree of accuracy and a degree of meta agreement in the study. In the Korean child welfare service quality, the coorientation model of process quality appeared in the form of semi-dissensus, the coorientation model of results quality were shown in the form of ignorances and the coorientation model of physical environment quality were investigated in the form of semi-dissensus. Conclusion - The study concluded that users need to understand more about the providers in order to enhance the coorientation model in process quality and physical environmental quality, and the providers need to persuade the users clearly about the positive factors. To enhance the coorientation model of the result quality, it can be misunderstood by guessing that the other party will positively evaluate it. Therefore, users believe that they need to talk more clearly to the provider about the results of the korean child welfare service quality to reduce misunderstandings and to understand each other about the resulting quality.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.39 no.6
• /
• pp.1-11
• /
• 2011

The research was aimed to verify the feasibility of the model of Park-Based Mixed-Use Districts(PBMUD) around urban large park to secure private-based urban parks through the revision of the urban zoning system. The PBMUD is a type of urban zoning district in which park-oriented land use is mixed with the urban land uses of residents, advertising, business, culture, education and research. The PBMUD, delineated from and based on a new paradigm of landscape urbanism, is a new urban strategy to secure urban parks and to cultivate urban regeneration around parks and green spaces to enhance the quality of the urban landscape and to ameliorate urban environmental disasters like climate change. This study performed a questionnaire survey and analysis after a review of literature related to PBMUD. The study looked for specialists in the fields of urban planning and landscape architecture such as officials, researchers and engineers to respond to the questionnaire, which asked about degree of preference. The conclusions of this study were as follows. Firstly, specialists prefer the PBMUD at 79.3% for to 20.7% against ratio, indicating the feasibility of the model of PBMUD. The second, the most preferable reasons for the model, were the possibility of securing park space around urban parks and green spaces that assures access to park and communication with each area. The third, the main reason for non-preference for the model, was a lack of understanding of PBMUD added to the problems of unprofitable laws and regulations related to urban planning and development. These proposed a revision of the related laws and regulations such as the laws for planning and use of national land, laws for architecture etc. The fourth, the most preferred type of PBMUD, was cultural use mixed with park use in every kind of mix of land use. The degree of preference was lower in the order of use of commercial, residential, business, and education(research) when mixed with park use. The number of mixed-use amenities with in the park was found to be an indicator determining preference. The greater the number, the lower was preference frequencies, especially when related to research and business use. The fifth, the preference frequencies of the more than 70% among the respondents to the mixed-use ratio between park use and the others, was in a ratio of 60% park use and 40% other urban use. These research results will help to launch new future research subjects on the revision of zoning regulations in the laws for the planning and uses of national land and architectural law as well as criteria and indicators of subdivision planning as related to a PBMUD model.

• Journal of Intelligence and Information Systems
• /
• v.28 no.1
• /
• pp.217-242
• /
• 2022

With the launch of Artificial Intelligence(AI)-based intelligent products on the market, innovative changes are taking place not only in business but also in consumers' daily lives. Intelligent products have the potential to realize technology differentiation and increase market competitiveness through advanced functions of artificial intelligence. However, there is no new product development methodology that can sufficiently reflect the characteristics of artificial intelligence for the purpose of developing intelligent products with high market acceptance. This study proposes a KANO-QFD integrated model as a methodology for intelligent product development. As a specific example of the empirical analysis, the types of consumer requirements for hair loss prediction and treatment device were classified, and the relative importance and priority of engineering characteristics were derived to suggest the direction of intelligent medical product development. As a result of a survey of 130 consumers, accurate prediction of future hair loss progress, future hair loss and improved future after treatment realized and viewed on a smartphone, sophisticated design, and treatment using laser and LED combined light energy were realized as attractive quality factors among the KANO categories. As a result of the analysis based on House of Quality of QFD, learning data for hair loss diagnosis and prediction, micro camera resolution for scalp scan, hair loss type classification model, customized personal account management, and hair loss progress diagnosis model were derived. This study is significant in that it presented directions for the development of artificial intelligence-based intelligent medical product that were not previously preceded.

• Journal of Advanced Navigation Technology
• /
• v.13 no.6
• /
• pp.957-963
• /
• 2009

It is necessary for the resource management system to manage for the resource in distributed networking environment. Because of increasing the complexity of vast computer system and business environment, needs of RMS is increasing. Based on the common information model to use of objected oriented technology, through analysis of the reference model for the resource management system of the SNIA, we intend to implement the application program to manage the NGS system that consist of SSD and DRAM. To visualize, it is use the GUI Interface. It is possible for application program(Client) to detect and manage the system that consist of the NGS system. Also, status information that is divided into three cataloges(Minor/Major/Critical) can be displayed and it provide support of configuration functionality to manage devices.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.1
• /
• pp.123-130
• /
• 2021

With the recent developments in computer technology, there has been an increasing interest in the field of machine learning. This also has led to a significant increase in real business cases of machine learning theory in various sectors. In finance, it has been a major challenge to predict the future value of financial products. Since the 1980s, the finance industry has relied on technical and fundamental analysis for this prediction. For future value prediction models using machine learning, model design is of paramount importance to respond to market variables. Therefore, this paper quantitatively predicts the stock price movements of individual stocks listed on the KOSPI market using machine learning techniques; specifically, the reinforcement learning model. The DQN and A2C algorithms proposed by Google Deep Mind in 2013 are used for the reinforcement learning and they are applied to the stock trading strategies. In addition, through experiments, an input value to increase the cumulative profit is selected and its superiority is verified by comparison with comparative algorithms.

• Journal of Service Research and Studies
• /
• v.8 no.2
• /
• pp.25-39
• /
• 2018

In the period of great change in human society, a change in educational services is also necessary. Thus, the current research investigates a new model of educational services to prepare people to be successful in an era of service and the fourth industrial revolution. We analyzed all the educational service models from the first educational institution, The Academy, founded by Plato to one of the most innovative institutions, Minerva schools. Then, we designed both an educational institution model and an educational service model that will cultivate and educate prospective students to be multidimensional to fit to the new upcoming eras. Since the era of service in the 21st century is also the era of job creation, we designed models focused on developing the broad knowledge and practical skills need to solve the most complex issues of our time. A new model was designed based on the results of the survey of existing major programs, analysis of the demands of the new generation, competency requirements, and etc. The newly designed conceptual model was improved from study focusing on tools to study that focuses on intrinsic discipline and competence, nurturing dream and imagination. In order to realize the new educational service, we developed technical conditions and a methodology for improving educational service performance. In the future, it is necessary to deepen the study and carry out research on implementing new educational service. In addition, an empirical study of the performance of the new model will also be needed.

• Journal of Korea Trade
• /
• v.23 no.6
• /
• pp.33-51
• /
• 2019

Purpose - The purpose of this study is to provide practical implications for Korean companies searching for new market opportunities. From the experimental analysis, the impact of country image on product-country image and purchase intention of Korean products are measured. In addition, this study disaggregates the impacts of country image and product-country image and purchase intention among ethnic groups in South Africa for searching further useful implications. Design/methodology - To examine South African consumers' country image and product-country image towards Korean products, data were collected between June and July 2019 through an online questionnaire, and 335 questionnaires were used for analysis. Firstly, the multivariate analysis was conducted to examine the general tendency of South African consumers' perceptions of country image to Korea, product-country image, and purchase intention among three ethnic group consumers. Then in order to verify the country image model and hypotheses of the study, we analyzed the structural models for each of the three ethnic groups and compared the sizes of the path coefficients for each groups. To compare the difference of path coefficients across ethnic groups, configural invariance, metric invariance, and scalar invariance tests were conducted sequentially. Findings - In the black and white ethnic groups, the country image had a statistically significant impact on product-country image, but it did not affect the purchase intention to Korean products. The product-country image showed a statistically significant impact on the purchase intention to Korean products in both ethnic group. However, in the coloured ethnic group consumer, the country image had a significant effect on the product-country image, but it did not affect the purchase intention of Korean products. In addition, the product-country image did not have a significant influence on the purchase intention of coloured ethnic group consumers unlike black and white ethnic group consumers. The results of this study suggest that even though differences in terms of the impact of CoI on PCI and PI were investigated for the sample of white, coloured, and black respondents, the groups seemed to respond in a reasonably comparable manner. Originality/value - South Africa occupies more than 20% of Africa's total GDP in sub-Saharan Africa and is a hub for Southern African logistics as a hub for Korean companies to enter Africa. However, it is rare to find a study focused on the determinants of consumer behavior in South Africa. In particular, this study disaggregates the impacts of country image and product-country image on consumer behavior across ethnic groups in South Africa. Therefore, this study could provide practical implications for Korean firms which desire to diversify their export markets and pioneer future markets.

• Journal of Distribution Science
• /
• v.12 no.4
• /
• pp.85-92
• /
• 2014

Purpose - This study conducted empirical research on non-financial corporations listed on the stock exchange from 2001 to 2010, focusing on the effects of corporate governance on real earnings management of corporations. In particular, this study examined primarily the impact of the largest shareholder who could use earnings management to pursue his own self-interest, and foreign investors who played a checking role against the largest shareholders. The study also reviewed the relationship between corporate governance and earnings management while also considering corporate growth. Research design, data, and methodology - As for the measurements of real earnings management, abnormal operating cash flow and abnormal production cost were utilized. As for the independent variables, share ratio of the largest shareholder and affiliate person (M) and share ratio of foreign investors (FT) were leveraged. This study excluded those organizations that had changed their fiscal years, those that had not submitted an audit report, corporations under supervision, delisted corporations, corporations that had changed their business type, and so on, from the non-financial corporations out of the publicly traded corporations whose fiscal year ended in December from 2001 to 2010 in addition, KIS values were utilized for the corporate financial data in the study. To verify whether management structure and growth had an impact on real earnings management of a corporation through empirical analysis, a multiple regression analysis model was applied. Result - First, as a result of the analysis, the share ratio (M) of the largest shareholder and affiliate person was found to have a significant positive correlation with abnormal cash flow from operations(ACF) and abnormal production cost (APD). When controlling the growth, the share ratio (M) of the largest shareholder and affiliate person was found to have an insignificant correlation with abnormal cash flow from operations(ACF) but a significant correlation with abnormal production cost (APD). Second, foreign ownership (FT) was found to have a significant positive correlation with abnormal cash flow from operations(ACF) and abnormal production cost (APD) at the confidence level of 1 percent when not including the growth dummy. When controlling the growth, foreign ownership (FT) was found to have a significant negative correlation with abnormal cash flow from operations (ACF) and with abnormal production cost (APD). Conclusion - The results imply that the largest shareholder is closely related to earnings management through real activities regardless of corporate growth. It is also possible to determine from these results that foreign investors are related to earnings management through real activities when not considering corporate growth, but that they would reduce earnings management in the case of considering the growth. Thus, this study verified along with the existing studies that foreign investors were conducting the control function on controlling shareholders.