• 제목/요약/키워드: Influential factors

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Factors Influencing Intention for Human Papillomavirus Vaccination Among Parents with Elementary School Girls (초등여학생 자녀를 둔 부모의 인유두종바이러스(HPV)백신 접종의도 영향요인)

  • Shim, Jung lim;Ha, Yun Ju
    • The Journal of Korean Academic Society of Nursing Education
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    • v.23 no.4
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    • pp.367-377
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    • 2017
  • Purpose: This descriptive research study aims to investigate influential factors on human papillomavirus vaccines, among parents who have elementary school daughters. Methods: This study was conducted with 210 parents whose children are elementary school girls, aged 9 to 12 years, in G Metropolitan City. Data were collected from August 17 to September 12, 2015 using structured questionnaires. A descriptive statistical analysis, a t-test, a ${\chi}^2-test$, a Fisher's exact test, and a logistic regression using SPSS/WIN 21.0. Results: The influential factors on the human papillomavirus vaccination intention were confirmed to be three variables: cervical cancer knowledge, perceived sensitivity, and perceived barriers. Conclusion: An intervention program, both to increase the sensitivity of vaccination and to decrease barriers, should be developed so as to improve parents' health beliefs towards human papillomavirus vaccination.

A Basic Study on Estimation Method of Concrete Compressive Strength Based on Deep Learning Algorithm Considering Mixture Factor (배합 인자를 고려한 Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 기법에 관한 기초적 연구)

  • Lee, Seung-Jun;Kim, In-Soo;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.11a
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    • pp.83-84
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    • 2017
  • In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, seven influential factors (W/B ratio, Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. The purpose of this paper is to estimate compressive strength more accurately by applying it to algorithm of the Deep learning.

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The Influential Analysis for Customer Preference in the Perceived Quality of Hypermarket PB (대형마트 PB상품 품질지각이 고객선호도에 미치는 영향)

  • Wang, Il-Woung;Kang, Chang-Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.5
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    • pp.2099-2107
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    • 2011
  • Despite the PB diffusion introduced as a strategic competitive factor from the change of a retailing business, the study of PB perceived quality in a customer aspect is poor. Therefore, this study led the influential factors to retailer attribute and product attribute through overall analysis. Also, the study found the influential attributes affecting the perceived quality and analysed the influential power linking to customer satisfaction and preference through the perceived quality. The examined results of the study have known that each attribute links to customer satisfaction via the only perceived quality. The strategic PB sales advantage should be achieved as giving customers the overall perceived quality, and has shown that it can increase the customer preference for PB.

A Study on the Influential Relations of Rural Experience Tourism according to the Lifestyles of Tourists (관광객 라이프스타일에 따른 농촌체험관광 영향관계 연구)

  • Song, Kwang-In;Kim, Jeong-Joon
    • Journal of Korean Society of Rural Planning
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    • v.15 no.2
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    • pp.111-120
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    • 2009
  • The purpose of this study was to analyze the lifestyles of tourists visiting rural experience tourist destinations and the influential relations of the attributes to affect rural experience tourism. The research findings show that the lifestyles of tourists had significant impacts on their preference for rural experience programs(0.2502/3.0l2). Second, their lifestyles had also significant impacts on the need for rural experience tourist destinations(5.039/3.363). Third, their preference for rural experience programs had significant influences on their intentions for revisits(0.386/3.l60). Fourth, their preference for rural experience programs had significant influences on their intentions for word of mouth(1.448/8.073). Fifth, their need for rural experience tourist destinations had significant impacts on their intentions for revisits(1.940/5.594). And finally, their need for rural experience tourist destinations had no significant influences on their intentions for word of mouth(-1.0611-1.421). According to the analysis results of the regression coefficient of the measuring model, enjoying leisure(1.130/6.775) and pursuing health(1.110/9.001) were large influential factors in lifestyle; pursuing learning(1.47317.946) was the biggest influential factor in preference for rural experience programs; and a natural environment(1.220/8.990) was the biggest influential factor in the need for rural experience tourist destinations.

Identifying Influential People Based on Interaction Strength

  • Zia, Muhammad Azam;Zhang, Zhongbao;Chen, Liutong;Ahmad, Haseeb;Su, Sen
    • Journal of Information Processing Systems
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    • v.13 no.4
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    • pp.987-999
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    • 2017
  • Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.

A study on satisfaction for military food services (군 급식의 만족도 연구)

  • Kim, Joung Ae
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.4
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    • pp.1027-1033
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    • 2016
  • The purpose of this study is to examine the satisfaction level for military food services as well as to find out influential factors which affect satisfaction. The questionnaire survey was conducted by 111 soldiers. In the satisfaction analysis for military food services, 69.3% of soldiers presented positive response. There are, however, some differences in satisfaction between corporal and private groups as well as corporal and sergeant groups. Overall, the corporal group shows low satisfaction for military food services. To identify influential factors for satisfaction of military food services, we considered various factors: tasty, nutrition, quantity, hygienic conditions, environment, ambient factors, waiting time, presence of desert, menu, and kindness of a cook. Satisfaction analysis shows that main significant factors are tasty and quantity of the food. Thus, tasty and quantity of the food are need to be consistently monitored and improved to increase the satisfaction of military food services.

Implications of Wearing "Hanbok" in Korea: Comparative Study of Asian Ethnic Dresses(Part III) (현대 한국인의 한복 착용: 아시아 전통문화 양식의 전개과정에 관한 비교문화 연구(제3보))

  • 이주현;유혜경;김찬주;홍나영
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.1
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    • pp.37-49
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    • 2001
  • The purpose of this research was to investigate the influential factors to wear or not to wear \"Hanbok\" in Korean society. Twenty six individuals who wear Hanbok relatively often, and twenty seven individuals who dont were purposively sampled and interviewed for the study by structured depth-interview method. A domain analysis, a method of qualitative study, was employed to find out the influential factors from the results of the depth-intervews. From the analysis, fifteen encouraging or discouraging factors to wear Hanbok emerged and were categorized into five domains, which included \"interpersonal relationship\", \"life-style\", \"image\", \"practicality\" and \"decorative function\". The personal involvement in traditional culture, tradition-oriented family background, good images related to Hanbok, and affordable life-style appeared to be encouraging factors to wear Hanbok. Meanwhile, social norm and role-expectation adjusted to westernized criteria, unaffordable life-style, ill practicality of Hanbok and negative cues associated with Hanbok were the factors influencing people to turn away from Hanbok. The study also revealed complex interactions between these factors explaining individuals choice of wearing or not wearing Hanbok in industrialized modern society of Korea. Some suggestions to promote wearing Hanbok were made based oh the results of this study.wearing Hanbok were made based oh the results of this study.

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A Priority Analysis on Influential Factors for Software Bid Evaluation in Public Sectors based on Analytic Hierarchy Process(AHP) (AHP 기법을 활용한 소프트웨어 제안평가요인의 상대적 중요도에 관한 연구 : 발주자와 수주자 비교를 중심으로)

  • Kim, Hong Jin;Jo, Dong Hyuk;Ahn, Tae Ho
    • Journal of Information Technology Services
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    • v.16 no.1
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    • pp.41-53
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    • 2017
  • Recently, due to the economic recession and increase of ITO (IT Outsourcing), bidding in software industry has been recognized as more competitive and the importance of software bid evaluation for corporate selection is being increased. This study aims to analyze and prioritize influential factors in the software bid evaluation criteria which is adopted as the main evaluation model of national software businesses by Ministry of Science. The priority was developed by AHP (Analytic Hierarchy Process) through pair-wise comparison. For the analysis, this study developed analysis model for AHP and conducted survey of experts who have work experience for more than 10 years in the IT industry. As the result of analysis, weighted factors in the evaluation criteria were deduced and differences of priority factors between purchaser and bidder were investigated. The analysis showed differences of view point in the bidding process. With these results, this study suggests how to write a proposal strategically and effectively in perspective of the purchaser. It is expected that priority factors will be adopted in strategic proposals in both bidder and purchaser. For purchaser, the priority will be adopted to select reliable bidder. So, we expect that the priority factors will be used to get more values for both bidder and purchaser in their business atmosphere.

The Effect of Economic and Infrastructure Factors on the Formation of Electric Vehicle Supply Chain and Optimal Location Selection: Korea-US FDI

  • Young-Kyou Ha
    • Journal of Korea Trade
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    • v.27 no.5
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    • pp.23-40
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    • 2023
  • Purpose - This study aims to present the changes and directions in the automotive supply chain in the face of changes in the global supply chain caused by external factors and the integration of industries resulting from internal factors. Assuming FDI in the Korean automotive industry in the US, this study analyzed the influential factors over the long term and derived the optimal location. Design/methodology - For this analysis, the characteristics and current status of the automotive industry are presented. Additionally, the study emphasizes the necessity and direction of change. The factors influencing Korea-US FDI in the automotive industry and the electric vehicle industry were analyzed through panel analysis. The optimal location from the perspective of distribution costs was selected using linear programming under the assumption that local demand will be replaced by local production in the future. Findings - This study found that the electric vehicle supply chain will change with the characteristics of the electric and electronic industries rather than with the traditional automotive industry. Additionally, in deriving the optimal location, the study emphasized the proximity to the consumption market. Originality/value - The analysis method and conclusions of this study not only present the influential factors and direction of FDI in the automotive industry but also can be applied to other industries. Moreover, the study provides practical and policy implications for industries and governments considering FDI in the US.