• Title/Summary/Keyword: secondary data analysis

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Method and Application for Reliability Analysis of Measurement Data in Nuclear Power Plant (원전 배관의 두께 측정 데이터에 대한 신뢰도 분석 방법 및 적용)

  • Yun, Hun;Hwang, Kyeongmo;Lee, Hyoseoung;Moon, Seungjae
    • Corrosion Science and Technology
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    • v.14 no.1
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    • pp.33-39
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    • 2015
  • Pipe wall-thinning by flow-accelerated corrosion and various types of erosion is significant damage in secondary system piping of nuclear power plants(NPPs). All NPPs in Korea have management programs to ensure pipe integrity from degradation mechanisms. Ultrasonic test(UT) is widely used for pipe wall thickness measurement. Numerous UT measurements have been performed during scheduled outages. Wall-thinning rates are determined conservatively according to several evaluation methods developed by Electric Power Research Institute(EPRI). The issue of reliability caused by measurement error should be considered in the process of evaluation. The reliability analysis method was developed for single and multiple measurement data in the previous researches. This paper describes the application results of reliability analysis method to real measurement data during scheduled outage and proved its benefits.

Value Chain Model and Big Data Utilization for a Successful the 6th Industry (성공적인 6차산업을 위한 가치사슬 모형과 빅데이터 활용 방안)

  • Park, Sanghyeok;Park, Jeongseon;Lee, Myounggwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.2
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    • pp.141-152
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    • 2015
  • Our agriculture and rural villages have faced negative conditions in many reasons. To overcome this situation, a new change is needed by the 6th industrialization. Many agriculture and rural villages in Korea are pursuing the 6th industrialization through the convergence of the primary, secondary, and tertiary industries to vitalize agriculture and rural villages. But there are several problems with the 6th industrialization. There is a limit to the capacity building of the members of the rural organization and Korean agricultural base primary, secondary, and tertiary industries are weak all. In addition, it has been insufficient research for value chain management of the region as a whole; there has been no study of information sharing across the region for the 6th industrialization. This study is about value chain management model for successful the 6th industry with Quick Response System and the big data technology. In this study to provide the efficiency of 6th industry value chain management with customer's needs analysis using big data and research for the information share between the industries in the region through the information pipeline theory of the QR System. We hope that our study is helped to proceed successfully on the 6th industrialization in Korea.

The Effect of Consumer Affinity and Country Image Toward Willingness to Buy

  • Halim, Rizal Edy;Zulkarnain, Elszuary Abrar Uzi
    • Journal of Distribution Science
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    • v.15 no.4
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    • pp.15-23
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    • 2017
  • Purpose - This research aims to determine whether the consumer affinity and ethnocentrism as well as the image of a foreign country (Japanese product as the most popular product in Indonesia) are able to influence behavior related to the perceived risk and willingness to buy foreign products from the affinity country. Research design, data, and methodology - Using survey techniques with 164 respondents, the study uses structural equation model with confirmatory factor analysis (CFA). To ensure the research objective and appropriate respondent, then we select an individual who have interest on Japanese culture & language. The primary and secondary data used in this study. Primary data refers to information collected directly from respondent by questionnaires dissemination while secondary data is provided from well-established literatures. Results - The results show us that the ethnocentrism has dominant affection role compared to affinity in order to influence consumer behavior meanwhile, the product country image has cognition role to evoke consumer desire to consume foreign products. Conclusions - From a theoretical perspective, the study contributes to international marketing literature by refining the conceptualization of the consumer affinity construct and highlighting its multidimensional nature. The consumer affinity research need to enrich in term of the context and the different culture and situation.

Women's Unpaid Work as a Factor of Gender Inequality: A Case of Kazakhstan

  • OLGA, Yanovskaya;POTLURI, Rajasekhara Mouly;GULFIYA, Nazyrova;AIZHAN, Salimzhanova
    • Asian Journal of Business Environment
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    • v.10 no.2
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    • pp.17-21
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    • 2020
  • Purpose: This paper explores diverse issues related to the problem of women's unpaid domestic care work, and as a factor of gender inequality in their professional practice. Research Design: This article concentrated only on the analysis of secondary data available on the topic along with observation of facts in Kazakhstan based on diverse sources. In current conditions, the problem of women's unpaid domestic care work, and consequently, the lack of enough time and energy for professional employment. Distinguish domestic work vs. job/career/occupation, self-fulfillment, education, and leisure has a significant impact on women's life satisfaction. Data, and Methodology: This article focuses only on secondary data available in different sources from which the researchers procures comprehensive data and information. Results and conclusion: A family policy that aims to promote combining maternity, and domestic work with paid employment is an effective way to increase the proportion of working mothers/women. It is crucial to not only proportionally distribute the household responsibilities in the family but also to form an effective mechanism of state support for women through the development of the social services sector, as well as the adoption of a system-wide approach to gender equality.

Comparison of Classification Rules Regarding SaMD Between the Regulation EU 2017/745 and the Directive 93/42/EEC

  • Ryu, Gyuha;Lee, Jiyoon
    • Journal of Biomedical Engineering Research
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    • v.42 no.6
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    • pp.277-286
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    • 2021
  • The global market size of AI based SaMD for medical image in 2023 will be anticipated to reach around 620 billion won (518 million dollars). In order for Korean manufacturers to efficiently obtain CE marking for marketing in the EU countries, the paper is to introduce the recommendation and suggestion of how to reclassify SaMD based on classification rules of MDR because, after introducing the Regulation EU 2017/745, classification rules are quite modified and newly added compared to the Directive 93/42/EEC. In addition, the paper is to provide several rules of MDR that may be applicable to decide the classification of SaMD. Lastly, the paper is to examine and demonstrate various secondary data supported by qualitative data because the paper focuses on the suggestion and recommendation with a public trust on the basis of various secondary data conducted by the analysis of field data. In conclusion, the paper found that the previous classification of SaMD followed by the rule of MDD should be reclassified based on the Regulation EU 2017/745. Therefore, the suggestion and recommendation are useful for Korean manufacturers to comprehend the classification of SaMD for marketing in the EU countries.

The Impact of Prices and Distribution on Customer Satisfaction in the Pharmaceutical Industry of Kazakhstan

  • Аida OMIR;Assel BEKBOSSINOVA;Orazaly SABDEN;Anel A. KIREYEVA
    • Journal of Distribution Science
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    • v.22 no.7
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    • pp.83-94
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    • 2024
  • Purpose: This article aims to investigate the influence of pricing and distribution on the level of satisfaction and purchase decisions among consumers of pharmaceutical products in Kazakhstan. Research design, data, and methodology: A mixed-methods research design was utilized, incorporating primary and secondary data. Primary data were collected through a survey administered to customers across various pharmacy types, with 100 valid responses analyzed. Secondary data involved an extensive review of existing literature and analysis of national statistics concerning the pharmaceutical market trends from 2008 to 2022. Results: The results reveal a complex relationship between price perceptions and customer satisfaction. A significant segment of the population views current drug prices as high, which affects their satisfaction levels and purchase decisions. The study also highlights the importance of service quality in enhancing customer satisfaction, suggesting that service improvements could mitigate some of the negative perceptions of pricing. Conclusions: This research contributes to the limited but growing body of knowledge on the impact of pricing strategies on consumer satisfaction in the pharmaceutical sectors of developing countries like Kazakhstan. Focusing on economic and behavioral aspects, this study provides a more holistic understanding of the factors driving consumer satisfaction and purchase behaviors in this critical sector.

Investigating the Relationship Between Accessibility of Green Space and Adult Obesity Rates: A Secondary Data Analysis in the United States

  • Kim, Junhyoung;Lee, Sujung;Ramos, William
    • Journal of Preventive Medicine and Public Health
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    • v.54 no.3
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    • pp.208-217
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    • 2021
  • Objectives: In spite of the importance of green space for reducing obesity-related problems, there has been little exploration of whether access to green space (e.g., parks and recreational facilities) influences the obesity rate of adults in the United States. The purpose of the study was to investigate the relationships among accessibility of green space, obesity rates, and socioeconomic and demographic variables among adults living in the State of Indiana, United States. Methods: We conducted a secondary data analysis to investigate the relationships among accessibility to green space, obesity rates, and socio-demographic variables with employing Geographic Information System in order to measure the accessibility of green space. Results: This study found that accessibility of green space served as a strong predictor of reduced obesity rates among adults (β=-2.478; p<0.10). In addition, adults with higher education levels, as well as better access to green space, were found to have even lower obesity rates (β=-0.188; p<0.05). Other control variables such as unemployment rates, food security, and physical inactivity are additional factors that influence obesity rates among adults. Conclusions: Accessibility of green space may play an important role in facilitating physical activity participation and reducing obesity rates.

Risk Factors of Severity of Pressure Injuries in Acute University Hospital Inpatients (급성기 대학병원 입원환자의 욕창중증도의 영향요인)

  • Cho, Bo Kyung;Ko, Young;Kwak, Chanyeong
    • Journal of Convergence for Information Technology
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    • v.10 no.11
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    • pp.98-106
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    • 2020
  • This study was conducted to identify the factors influencing the severity of pressure injuries of patients with pressure injuries admitted to acute university hospital. This study was a secondary analysis on the data of the study conducted to identify the factors influencing the deterioration of pressure injuries during hospitalization. The data were collected by retrospectively examining the medical records of patients with pressure injuries who were 18 years of age or older and who were admitted to acute university hospital from May 2017 to November 2018. We used data from 472 patients with pressure injuries at admission for this secondary analysis. In order to identify the factor influencing of severe pressure injuries compare to superficial pressure injuries, we analyzed the data using logistic regression analysis. As a result of the study, gender, body temperature, and patient's movement were identified as factors affecting severe pressure injuries. Therefore, special care is necessary to increased the number of position change for inpatients with pressure injuries, especially for patients with decreased mobility.

Factors Influencing Sexual Experiences in Adolescents Using a Random Forest Model: Secondary Data Analysis of the 2019~2021 Korea Youth Risk Behavior Web-based Survey Data (랜덤 포레스트 모델을 활용한 국내 청소년 성경험 영향요인 분석 연구: 2019~2021년 청소년건강행태조사 데이터)

  • Yang, Yoonseok;Kwon, Ju Won;Yang, Youngran
    • Journal of Korean Academy of Nursing
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    • v.54 no.2
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    • pp.193-210
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    • 2024
  • Purpose: The objective of this study was to develop a predictive model for the sexual experiences of adolescents using the random forest method and to identify the "variable importance." Methods: The study utilized data from the 2019 to 2021 Korea Youth Risk Behavior Web-based Survey, which included 86,595 man and 80,504 woman participants. The number of independent variables stood at 44. SPSS was used to conduct Rao-Scott χ2 tests and complex sample t-tests. Modeling was performed using the random forest algorithm in Python. Performance evaluation of each model included assessments of precision, recall, F1-score, receiver operating characteristics curve, and area under the curve calculations derived from the confusion matrix. Results: The prevalence of sexual experiences initially decreased during the COVID-19 pandemic, but later increased. "Variable importance" for predicting sexual experiences, ranked in the top six, included week and weekday sedentary time and internet usage time, followed by ease of cigarette purchase, age at first alcohol consumption, smoking initiation, breakfast consumption, and difficulty purchasing alcohol. Conclusion: Education and support programs for promoting adolescent sexual health, based on the top-ranking important variables, should be integrated with health behavior intervention programs addressing internet usage, smoking, and alcohol consumption. We recommend active utilization of the random forest analysis method to develop high-performance predictive models for effective disease prevention, treatment, and nursing care.

Analysis of Factors Affecting Korean Spirituality (한국인의 영성에 미치는 영향 요인 분석)

  • Jinsook, Kim
    • Journal of Industrial Convergence
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    • v.22 no.10
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    • pp.89-98
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    • 2024
  • This study was conducted to identify the factors affecting Korean spirituality. This study used secondary data analysis of data collected during the validation phase of the New Version of Spirituality Assessment Scale. The participants of the raw data were Korean adults aged 19 and older, with a balanced sampling across different age groups. The collected data was analyzed using Person's correlation coefficient to identify the relationship between spirituality and psychological characteristics (self-esteem, depression, loneliness), and stepwise multiple regression to identify factors influencing spirituality. The results indicated that higher spirituality in Koreans is associated with higher self-esteem, and lower loneliness. Spirituality in Koreans was influenced by religious characteristics, self-esteem, loneliness, and gender. These variables explained 62.3% of the variance in spirituality. Based on the finding that spirituality in Koreans is influenced by religious and psychological characteristics, we suggest to develop spiritual health of intervention programs that consider both psychological and religious characteristics.