• Title/Summary/Keyword: Quantitative Methodology

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Analyzing Healthcare Marketing Research Trends in Korea - Focusing on marketing strategy factors and performance factors perspectives - (국내 의료서비스 마케팅 연구 동향 분석 - 마케팅 전략 요인과 성과 요인 관점으로 -)

  • Jongjin Bae;Byungtae Park
    • Korea Journal of Hospital Management
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    • v.28 no.4
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    • pp.33-46
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    • 2023
  • Purpose: This study analyzed the research published in KCI-registered journals related to healthcare marketing for the last 27 years from 1995 to 2022 to identify academic research trends, the specificity of the healthcare field and to suggest future research directions. Methodology: A total of 213 articles were selected for this study, and a descriptive analysis of the period and journals was conducted, as well as the analysis of research topics and keywords from the perspective of marketing strategy factors and performance factors. Findings: A total of 213 articles related to healthcare marketing have been published in the last 27 years. The descriptive analysis showed a steady quantitative increase, but the STP field showed a decreasing trend, and many papers were mainly published in the Korean Journal of Hospital Management. According to the analysis of research topics and keywords, STP field will be hard to become an active research topic in the future, and even in the 7P field, only Product, People, and Process can be researched according to medical law regulations, and other factors such as PX & WOM, CRM, and the Internet fields are expected to be research topics. Implications: Through the analysis of research trends over the past 27 years, we were able to identify the specificity of the healthcare marketing field in Korea and suggest future research directions based on this.

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A study on the promotion of Gangwon State barrier-free tourism (강원특별자치도 무장애 관광 활성화 방안 연구: FGI를 중심으로)

  • Ye-jin Kim;Bo-Mi Ban;Yeong-Gug Kim
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.289-304
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    • 2024
  • Purpose - Focusing on the FGI research method, the current status and issues of barrier-free tourism in Gangwon State were identified, and specific activation plans were derived Design/methodology/approach - This study conducted in-depth interviews with 20 experts related to the tourism industry. The issues, current status, and activation plan of barrier-free tourism in Gangwon State recognized by experts in tourism policy, tourism administration, tourism management, and tourism service industry were derived. Findings - First, the tendency of businesses to be promoted based on the non-disabled by not recognizing the weak as the main tourism demand group, second, confusion caused by the unification of terms related to barrier-free tourism, third, lack of finding tourism constraints subdivided according to the type and degree of disability, fourth, tourism information and evaluation indicators provided by prioritizing the convenience of suppliers rather than consumers, and fifth, the nature of the project focused on improving access to physical infrastructure. Subsequently, the results of the analysis of the plan to revitalize the barrier-free tourism industry in Gangwon State were as follows. First, education and programs to improve disability awareness appropriate to local conditions were activated, second, related information was unified and project sustainability was improved by creating a control tower for the barrier-free tourism industry at the provincial level, third, to overcome the employment crisis based on finding locally tailored jobs related to tourism care professionals, and fourth, to continuously secure quantitative and qualitative data and establish utilization plans. Research implications or Originality - First, it presents theoretical implications for related fields by providing issues and activation measures related to barrier-free tourism from the perspective of experts who are still lacking in research in academia. The practical implications are that based on the opinions of experts working in the tourism field, more specific issues of the barrier-free tourism industry in the province were presented, and policy and practical solutions were presented accordingly, suggesting realistic alternatives that can be carried out in the actual field.

Impingement wastage experiment with SUS 316 in a printed circuit steam generator

  • Siwon Seo;Bowon Hwang;Sangji Kim;Jaeyoung Lee
    • Nuclear Engineering and Technology
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    • v.56 no.1
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    • pp.257-264
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    • 2024
  • The sodium cooled fast reactor (SFR) is one of the Gen-IV reactors with the most operating experience accumulated. Although the technology level is the most mature among the Gen-IV reactors, there is still a safety problem that has not been solved, which is the sodium-water reaction. Since sodium and water are separated only by a heat transfer tube with a thickness of only a few mm, there is inherently a risk of a sodium-water reaction (SWR) accident in the SFR. In this study, it is attempted to quantitatively evaluate the resistance of SWR accidents by replacing the shell and tube steam generator with printed circuit steam generator (PCSG) as a method to mitigate the SWR accident. To do this, a CATS-S (Compact Accident Tolerance Steam Generator-SWR) facility was designed and built. And for the quantitative evaluation of accident resistance, a methodology for measuring the impingement wastage rate was established. As a result of this research, the impingement wastage rate caused by SWR generated in a PCSG was measured first time. It was confirmed that the impingement wastage phenomenon was suppressed in the PCSG, and the accident resistance was higher than that of the SWR through comparison with the experimental results performed in the existing shell and tube steam generator. In conclusion, a PCSG is more resistant to impingement wastage as a result of the SWR accident than existing shell and tube steam generators, and it is estimated that a PCSG can mitigate SWR accidents, an inherent problem of SFR.

Software Metric for CBSE Model

  • Iyyappan. M;Sultan Ahmad;Shoney Sebastian;Jabeen Nazeer;A.E.M. Eljialy
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.187-193
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    • 2023
  • Large software systems are being produced with a noticeably higher level of quality with component-based software engineering (CBSE), which places a strong emphasis on breaking down engineered systems into logical or functional components with clearly defined interfaces for inter-component communication. The component-based software engineering is applicable for the commercial products of open-source software. Software metrics play a major role in application development which improves the quantitative measurement of analyzing, scheduling, and reiterating the software module. This methodology will provide an improved result in the process, of better quality and higher usage of software development. The major concern is about the software complexity which is focused on the development and deployment of software. Software metrics will provide an accurate result of software quality, risk, reliability, functionality, and reusability of the component. The proposed metrics are used to assess many aspects of the process, including efficiency, reusability, product interaction, and process complexity. The details description of the various software quality metrics that may be found in the literature on software engineering. In this study, it is explored the advantages and disadvantages of the various software metrics. The topic of component-based software engineering is discussed in this paper along with metrics for software quality, object-oriented metrics, and improved performance.

Review of Youth Soccer Research Trends (유소년 축구 연구 동향 고찰)

  • You-Sin Kim;Dae-Hoon Kim
    • Journal of the Korean Applied Science and Technology
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    • v.41 no.2
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    • pp.406-412
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    • 2024
  • In order to investigate trends in youth soccer research, this study selected 18 prior literature published in domestic KCI-registered journals related to youth soccer over a three-year period from 2021 to 2023 as research subjects. Previous research on youth soccer was analyzed by year, journal, research method, and subject, and the results are as follows. First, the number of papers published on topics related to youth soccer was the highest at 9 in 2021. Second, it was found that youth soccer-related research was conducted in various sports-related academic journals. Third, quantitative research methodology took up a higher proportion of 83% than qualitative research method. Fourth, studies targeting youth soccer players were the highest at 50%, followed by coaches and parents of youth players.

Advanced radiation shielding materials: PbO2-doped zirconia ceramics synthesized through innovative sol-gel method

  • Islam G. Alhindawy;Mohammad. W. Marashdeh;Mamduh. J. Aljaafreh;Mohannad Al-Hmoud;Sitah Alanazi;K. Mahmoud
    • Nuclear Engineering and Technology
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    • v.56 no.7
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    • pp.2444-2451
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    • 2024
  • This work demonstrates a new sol-gel approach for synthesizing PbO2-doped zirconia using zircon mineral precursors. The streamlined methodology enables straightforward fabrication of the doped zirconia composites. Comprehensive materials characterization was performed using XRD, SEM, and TEM techniques to analyze the crystal structure, microstructure, and morphology. Quantitative analysis of the XRD data provided insights into the nanoscale crystallite sizes achieved, along with their relationship to lattice imperfections. Furthermore, the gamma-ray shielding capacity for the PbO2-doped zirconia samples was estimated by the Monte Carlo simulation, which proves an increase in the gamma ray shielding properties by raising the Pb concentration. The linear attenuation coefficient increased between 0.467 and 0.499 cm-1 (at 0.662 MeV) by increasing the Pb content between 11 and 21 wt%. By increasing the Pb content to 21 wt%, the synthesized composites' lead equivalent thickness reaches 2.49 cm. The radiation shielding properties for the synthesized composites revealed a remarkable performance against low and intermediate γ-ray photons, with radiation shielding capacity of 37.3 % and 21.4 % at 0.662 MeV and 2.506 MeV, respectively. As a result, the developed composites can be employed as an alternative shielding material in hospitals and radioactive zones.

Deep Learning-Based Lumen and Vessel Segmentation of Intravascular Ultrasound Images in Coronary Artery Disease

  • Gyu-Jun Jeong;Gaeun Lee;June-Goo Lee;Soo-Jin Kang
    • Korean Circulation Journal
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    • v.54 no.1
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    • pp.30-39
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    • 2024
  • Background and Objectives: Intravascular ultrasound (IVUS) evaluation of coronary artery morphology is based on the lumen and vessel segmentation. This study aimed to develop an automatic segmentation algorithm and validate the performances for measuring quantitative IVUS parameters. Methods: A total of 1,063 patients were randomly assigned, with a ratio of 4:1 to the training and test sets. The independent data set of 111 IVUS pullbacks was obtained to assess the vessel-level performance. The lumen and external elastic membrane (EEM) boundaries were labeled manually in every IVUS frame with a 0.2-mm interval. The Efficient-UNet was utilized for the automatic segmentation of IVUS images. Results: At the frame-level, Efficient-UNet showed a high dice similarity coefficient (DSC, 0.93±0.05) and Jaccard index (JI, 0.87±0.08) for lumen segmentation, and demonstrated a high DSC (0.97±0.03) and JI (0.94±0.04) for EEM segmentation. At the vessel-level, there were close correlations between model-derived vs. experts-measured IVUS parameters; minimal lumen image area (r=0.92), EEM area (r=0.88), lumen volume (r=0.99) and plaque volume (r=0.95). The agreement between model-derived vs. expert-measured minimal lumen area was similarly excellent compared to the experts' agreement. The model-based lumen and EEM segmentation for a 20-mm lesion segment required 13.2 seconds, whereas manual segmentation with a 0.2-mm interval by an expert took 187.5 minutes on average. Conclusions: The deep learning models can accurately and quickly delineate vascular geometry. The artificial intelligence-based methodology may support clinicians' decision-making by real-time application in the catheterization laboratory.

The Behavior Analysis of Exhibition Visitors using Data Mining Technique at the KIDS & EDU EXPO for Children (유아교육 박람회에서 데이터마이닝 기법을 이용한 전시 관람 행동 패턴 분석)

  • Jung, Min-Kyu;Kim, Hyea-Kyeong;Choi, Il-Young;Lee, Kyoung-Jun;Kim, Jae-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.17 no.2
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    • pp.77-96
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    • 2011
  • An exhibition is defined as market events for specific duration to present exhibitors' main products to business or private visitors, and it plays a key role as effective marketing channels. As the importance of exhibition is getting more and more, domestic exhibition industry has achieved such a great quantitative growth. But, In contrast to the quantitative growth of domestic exhibition industry, the qualitative growth of Exhibition has not achieved competent growth. In order to improve the quality of exhibition, we need to understand the preference or behavior characteristics of visitors and to increase the level of visitors' attention and satisfaction through the understanding of visitors. So, in this paper, we used the observation survey method which is a kind of field research to understand visitors and collect the real data for the analysis of behavior pattern. And this research proposed the following methodology framework consisting of three steps. First step is to select a suitable exhibition to apply for our method. Second step is to implement the observation survey method. And we collect the real data for further analysis. In this paper, we conducted the observation survey method to obtain the real data of the KIDS & EDU EXPO for Children in SETEC. Our methodology was conducted on 160 visitors and 78 booths from November 4th to 6th in 2010. And, the last step is to analyze the record data through observation. In this step, we analyze the feature of exhibition using Demographic Characteristics collected by observation survey method at first. And then we analyze the individual booth features by the records of visited booth. Through the analysis of individual booth features, we can figure out what kind of events attract the attention of visitors and what kind of marketing activities affect the behavior pattern of visitors. But, since previous research considered only individual features influenced by exhibition, the research about the correlation among features is not performed much. So, in this research, additional analysis is carried out to supplement the existing research with data mining techniques. And we analyze the relation among booths using data mining techniques to know behavior patterns of visitors. Among data mining techniques, we make use of two data mining techniques, such as clustering analysis and ARM(Association Rule Mining) analysis. In clustering analysis, we use K-means algorithm to figure out the correlation among booths. Through data mining techniques, we figure out that there are two important features to affect visitors' behavior patterns in exhibition. One is the geographical features of booths. The other is the exhibit contents of booths. Those features are considered when the organizer of exhibition plans next exhibition. Therefore, the results of our analysis are expected to provide guideline to understanding visitors and some valuable insights for the exhibition from the earlier phases of exhibition planning. Also, this research would be a good way to increase the quality of visitor satisfaction. Visitors' movement paths, booth location, and distances between each booth are considered to plan next exhibition in advance. This research was conducted at the KIDS & EDU EXPO for Children in SETEC(Seoul Trade Exhibition & Convention), but it has some constraints to be applied directly to other exhibitions. Also, the results were derived from a limited number of data samples. In order to obtain more accurate and reliable results, it is necessary to conduct more experiments based on larger data samples and exhibitions on a variety of genres.

Using Transportation Card Data to Analyze City Bus Use in the Ulsan Metropolitan City Area (교통카드를 활용한 시내버스의 현황 분석에 관한 연구 - 울산광역시 사례를 중심으로 -)

  • Choi, Yang-won;Kim, Ik-Ki
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.6
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    • pp.603-611
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    • 2020
  • This study collected and analyzed transportation card data in order to better understand the operation and usage of city buses in Ulsan Metropolitan City in Korea. The analysis used quantitative and qualitative indicators according to the characteristics of the data, and also the categories were classified as general status, operational status, and satisfaction. The existing city bus survey method has limitations in terms of survey scale and in the survey process itself, which incurs various types of errors as well as requiring a lot of time and money to conduct. In particular, the bus means indicators calculated using transportation card data were analyzed to compensate for the shortcomings of the existing operational status survey methods that rely entirely on site surveys. The city bus index calculated by using the transportation card data involves quantitative operation status data related to the user, and this results in the advantage of being able to conduct a complete survey without any data loss in the data collection process. We took the transportation card data from the entire city bus network of Ulsan Metropolitan City on Wednesday April 3, 2019. The data included information about passenger numbers/types, bus types, bus stops, branches, bus operators, transfer information, and so on. From the data analysis, it was found that a total of 234,477 people used the city bus on the one day, of whom 88.6% were adults and 11.4% were students. In addition, the stop with the most passengers boarding and alighting was Industrial Tower (10,861 people), A total of 20,909 passengers got on and off during the peak evening period of 5 PM to 7 PM, and 13,903 passengers got on and off the No. 401 bus route. In addition, the top 26 routes in terms of the highest number of passengers occupied 50% of the total passengers, and the top five bus companies carried more than 70% of passengers, while 62.46% of the total routes carried less than 500 passengers per day. Overall, it can be said that this study has great significance in that it confirmed the possibility of replacing the existing survey method by analyzing city bus use by using transportation card data for Ulsan Metropolitan City. However, due to limitations in the collection of available data, analysis was performed only on one matched data, attempts to analyze time series data were not made, and the scope of analysis was limited because of not considering a methodology for efficiently analyzing large amounts of real-time data.

Estimation of Optimal Size of the Treatment Facility for Nonpoint Source Pollution due to Watershed Development (비점오염원의 정량화방안에 따른 적정 설계용량결정)

  • Kim, Jin-Kwan
    • Journal of the Korean Society of Hazard Mitigation
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    • v.8 no.6
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    • pp.149-153
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    • 2008
  • The pollutant capacity occurred before and after the development of a watershed should be quantitatively estimated and controlled for the minimization of water contamination. The Ministry of Environment suggested a guideline for the legal management of nonpoint source from 2006. However, the rational method for the determination of treatment capacity from nonpoint source proposed in the guideline has the problem in the field application because it does not reflect the project based cases and overestimates the pollutant load to be reduced. So, we perform the standard rainfall analysis by analytical probabilistic method for the estimation of an additional pollutant load occurred by a project and suggest a methodology for the estimation of contaminant capacity instead of a simple rational method. The suggested methodology in this study could determine the reasonable capacity and efficiency of a treatment facility through the estimation of pollutant load from nonpoint source and from this we can manage the watershed appropriately. We applied a suggested methodology to the projects of housing land development and a dam construction in the watersheds. When we determine the treatment capacity by a rational method without consideration of the types of projects we should treat the 90% of pollutant capacity occurred by the development and to do so, about 30% of the total cost for the development should be invested for the treatment facility. This requires too big cost and is not realistic. If we use the suggested method the target pollutant capacity to be reduced will be 10 to 30% of the capacity occurred by the development and about 5 to 10% of the total cost can be used. The control of nonpoint source must be performed for the water resources management. However it is not possible to treat the 90% of pollutant load occurred by the development. The proper pollutant capacity from nonpoint source should be estimated and controlled based on various project types and in reality, this is very important for the watershed management. Therefore the results of this study might be more reasonable than the rational method proposed in the Ministry of Environment.