• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.517-524
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• 2020

The study examines factors affecting apartment prices in the real estate market of Ho Chi Minh City, Vietnam. The study uses primary data based on surveys of customers who have traded successfully, and collects transaction data from real estate trading companies that are the top investors in Ho Chi Minh City real estate market. The collected data include 384 observations in a total of 24 districts, detailing that each district surveyed on a minimum of four projects, each project carried out a survey on a minimum of four apartments. The survey collected 339 valid questionnaires for analysis and model testing. This study employs multivariate regression with the data of 339 observations. The research results reveal that five significant factors affect positively the price of apartments in Ho Chi Minh City - apartment area, toilet and bedroom, apartment floor, reference price, and apartment interior. Besides, there are three significant factors affecting negatively the price of apartments - next price trend, distance to city center, and potential building. From the results, the research proposes solutions in the pricing of apartments in the real estate market in Ho Chi Minh City - better information system, a real estate transaction index, and stricter management of small brokerage activities.

• Korea Journal of Hospital Management
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• v.20 no.2
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• pp.39-56
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• 2015

This study calculated the potential customer satisfaction improvement index (PCSI index) and average satisfaction coefficient (ASC) by categorizing quality attributes based on the Kano analysis for medical service quality. This study seeks to suggest ways to increase the efficiency of medical business management by determining priority to improve after applying the indexes to IPA. To achieve such purposes, this study conducted a survey on 150 outpatients of a premium general hospital and 200 workers in four different sections in the same hospital. As a result of the analysis, there was a difference in the awareness of service quality to improve patient satisfaction between the outpatients and workers. Therefore, the focus should be put on those items deemed important by the patients rather than those that the workers called attention to in order to effectively improve service quality. Along with efforts to alleviate or eliminate inconveniences experienced by patients, it is necessary to provide training programs for workers on customer reception and management such as delivering services with a kind manner and giving explanations in a proper and professional manner and exhibiting the right attitude.

• International Journal of Quality Innovation
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• v.4 no.2
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• pp.101-122
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• 2003

With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.

• Journal of Environmental Health Sciences
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• v.50 no.2
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• pp.125-137
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• 2024

Background: The Korea Risk Information Surveillance System (K-RISS) was developed to enable the early detection of food and drug safety-related issues. Its goal is to deliver real-time risk indicators generated from ongoing food and drug risk monitoring. However, the existing K-RISS system suffers under several limitations. Objectives: This study aims to augment K-RISS with more detailed indicators and establish a severity standard that takes into account structural changes in the daily time series of K-RISS values. Methods: First, a Delphi survey was conducted to derive the required weights. Second, a control chart, commonly used in statistical process controls, was utilized to detect outliers and establish caution, attention, and serious levels for K-RISS values. Furthermore, Bai and Perron's method was employed to determine structural changes in K-RISS time series. Results: The study incorporated 'closeness to life' and 'sustainability' indicators into K-RISS. It obtained the necessary weights through a survey of experts for integrating variables, combining indicators by data source, and aggregating sub K-RISS values. We defined caution, attention, and serious levels for both average and maximum values of daily K-RISS. Furthermore, when structural changes were detected, leading to significant variations in daily K-RISS values according to different periods, the study systematically verified these changes and derived respective severity levels for each period. Conclusions: This study enhances the existing K-RISS system and introduces more advanced indicators. K-RISS is now more comprehensively equipped to serve as a risk warning index. The study has paved the way for an objective determination of whether the food safety risk index surpasses predefined thresholds through the application of severity levels.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.225-229
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• 2007

We propose some properties of fuzzy p-value and fuzzy significance level to the fuzzy hypotheses testing for vague response data with reflected correlation in survey research, Appling the principle of agreement index, we suggest the methods for fuzzy hypothesis testing by fuzzy rejection region.

• Journal of the Korean Data and Information Science Society
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• v.18 no.1
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• pp.123-139
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• 2007

Recently, Super-Super-Market(SSM) is facing more and more difficult situation due to the expansion of hypermarket and target marketing of specialized shop. In this situation, Customer Satisfaction Management(CSM) is emerging as a core business factor to make continuous growth without competitive exclusion. Especially, the first factor in CSM in distribution industry is a Service Quality Satisfaction. In this paper, with a selection of 3-markets as a sample for the research, I have tried to look for necessary Service Quality(SQ) factors in SSM and deduced Service Quality Index(SQI), loyalty and Index of detail factor in SQ through survey. Based on these results, strategic factors required to improve SQ was found and strategic directions for SQ were proposed through matrix portfolio analysis.

• Journal of Computing Science and Engineering
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• v.5 no.1
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• pp.33-50
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• 2011

In this paper we applied our previously developed assessment framework to the data collected from an internet security readiness survey targeted at households. We used the assessment framework to compute an Internet Security Readiness index for each household, which was in turn derived from Internet Security Readiness capital, skill, and actual uptake/use of infrastructure indices. We then examined the relationships among overall Internet Security Readiness, and the capital, skill, and actual uptake/use of infrastructure related to Internet Security Readiness. In addition, we explored the influence of Internet usage level and experience on Internet Security Readiness.

• Korean Journal of Occupational Health Nursing
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• v.27 no.2
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• pp.131-138
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• 2018

Purpose: The purpose of this study was to examine the differences in requirement and activity related to workers' health promotion according to business type and enterprise size. Methods: This study is a secondary analysis of data extracted from a survey on the Enterprise Health Promotion Index. For the present analysis, 7,784 companies were selected. Results: Requirements for lifestyle management and activities to prevent musculoskeletal disorders were the highest. The requirement and activity of musculoskeletal disorders and cerebrovascular disease were high in the manufacturing industry. Meanwhile, in the non-manufacturing industry, the requirement and activity of job stress management were high. Small-sized companies had a high requirement to prevent musculoskeletal disorders and cerebrovascular disease. Conclusion: Government support should be strengthened in workers' lifestyle management. Additionally, workers' health promotion in small-sized companies needs to focus on preventing musculoskeletal disorders and cerebrovascular disease.

• Journal of Korean Society of Rural Planning
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• v.14 no.3
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• pp.1-9
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• 2008

In this study, by reflecting flow of age, possibility of new theme park development as private investments business based on source that is farming village that is not tried to before is verified and by analyzing potential of the site, effectiveness of new theme park development is examined. "Nonghyup Anseong Meadow Anseong-si Gyeonggi-do" is selected as researched site where accessibility is good as there is near to National Capital region and nature condition is also good. Demands are forecasted using visiting intention and realizing index through analogical method and by analyzing existing data related with increase of tourism business that people can experience English village and increasing demand of experiencing farming region tourism demands are forecasted. The results are at below. First, As average expenditure per one person is 52,209 won that is shown in result of survey, if multiplying increasing rate of price and the number of visiting people that is optimistic forecasting figure, the whole expenditure of visitors per one year is from 10.54 billions to 13.85 billions won. Second is potential power of demand aspects. Potential power of that theme park was re-examined through demands forecasting analysis through survey. Experiencing farming regions theme park business that is informed through analysis of potential power of development and demand aspects has value to invest as new business based on farming regions sources, as a result of searching through diverse aspects such as tourism, economy, public interest and cultural aspect and so on.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.413-429
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• 2023

Purpose - The purpose of this study is to investigate the determinants of consumers' inflation expectations using consumers' inflation perceptions and the sub-components of consumer price index (CPI) basket in South Korea based on a consumer survey conducted by the Bank of Korea (BOK). Design/methodology/approach - Using Carroll's (2003) epidemiological model, we analyzed data from January 2013 to January 2023, resulting in a data set of 121 observations for both inflation perceptions and inflation expectations. This study focuses only on aggregate inflation expectations and perceptions because of data availability from the BOK. Findings - Professionals' forecasts play a major role in forming consumers' inflation expectations, whereas the actual headline CPI and consumers' inflation perceptions do not. These results remain robust when including the sub-components of the CPI basket in the analysis. Research implications or Originality - It would be the most efficient way to suppress professionals' expected inflation in fighting against a substantial spike in consumers' inflation expectations. To guide consumers' inflation expectations based on BOK's inflation targeting, the bank needs to consider professionals' forecasts in devising monetary policies.