• Title/Summary/Keyword: personal factors

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The effects of work environmental factors and self-compassion on burnout of school counselors (학교 상담자의 업무환경 요인 및 자기자비가 소진에 미치는 영향)

  • Kim, Hyun-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.5
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    • pp.343-351
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    • 2019
  • The purpose of this study is to investigate the effects of work environmental factors and self-compassion on the burnout of school counselors. The subjects of this study were 312 school counselors under the D District Office of Education participated. In order to examine the effects of individual, organizational, and self-compassion factors on burnout, correlation and hierarchical regression were applied. Individual factors were gender, age, health status, and personal hobbies. Organizational factors were employment type, working hours, and job satisfaction. Self-compassion and burnout were measured using the Korean version of self-compassion and Baslach burnout instruments. The correlation analysis showed that the three factors are correlated with each other. In the hierarchical regression analysis, three models were developed as personal, organizational, and self-compassion factors. The results of regression analysis are as follows. The influence of self-compassion on burnout was stronger than the organizational factor (i.e., employment type, working time, job satisfaction) and the personal factor (i.e., age, health status, hobby). There were no significant differences between genders. This study results suggest that self-compassion can reduce a level of burnout significantly, although personal and organizational factors have a significant impact on burnout. Further study and suggestions for reducing the level of burnout of school counselors were discussed.

Risk Analysis for Protecting Personal Information in IoT Environments (사물인터넷(IoT) 환경에서의 개인정보 위험 분석 프레임워크)

  • Lee, Ae Ri;Kim, Beomsoo;Jang, Jaeyoung
    • Journal of Information Technology Services
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    • v.15 no.4
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    • pp.41-62
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    • 2016
  • In Internet of Things (IoT) era, more diverse types of information are collected and the environment of information usage, distribution, and processing is changing. Recently, there have been a growing number of cases involving breach and infringement of personal information in IoT services, for examples, including data breach incidents of Web cam service or drone and hacking cases of smart connected car or individual monitoring service. With the evolution of IoT, concerns on personal information protection has become a crucial issue and thus the risk analysis and management method of personal information should be systematically prepared. This study shows risk factors in IoT regarding possible breach of personal information and infringement of privacy. We propose "a risk analysis framework of protecting personal information in IoT environments" consisting of asset (personal information-type and sensitivity) subject to risk, threats of infringement (device, network, and server points), and social impact caused from the privacy incident. To verify this proposed framework, we conducted risk analysis of IoT services (smart communication device, connected car, smart healthcare, smart home, and smart infra) using this framework. Based on the analysis results, we identified the level of risk to personal information in IoT services and suggested measures to protect personal information and appropriately use it.

A Study on Structural Model of Work-Values, Job Satisfaction and Task Performance of Generation Y Staff in the Hotel Industry

  • Choi, Hyunjung
    • Culinary science and hospitality research
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    • v.23 no.6
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    • pp.78-88
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    • 2017
  • The main goal of this study was to demonstrate the causal relationships between multi-dimensional work-values, job satisfaction and task performance of Y generational employee in the Korean hotel industry. In order to achieve the purpose, the data were collected from Y generational employees working in the major cities in Korea. To analyze the data, frequency, exploratory factor analysis, reliability analysis, PROCESS Macro analysis and simple regression analysis were undertaken by using SPSS 18.0. The results were as follows; 1. Work-values were found out as five factors; Prestige workvalues, Personal development work-values, Work condition work-values, Personal welfare work-values, Social/ Altruistic work-values. 2. All five factors were found to be significant in enhancing job satisfaction. 3. Two factors which were prestige work-values and personal welfare work-values were found to be significant in facilitating task performance. 4. Job satisfaction was revealed as a mediator between all work-value factors and task performance. This study provided practical information about work-values of Y generational hoteliers to positively affect their job satisfaction and task performance. This study also confirmed that it is important to enhance job satisfaction in order to make employees perform their service duties better.

A study on risk factors having effect on perception of tower crane incident risk (타워크레인 사고 위험 지각에 영향을 미치는 위험 요인에 관한 연구(타워크레인 업무유형의 조절효과를 중심으로))

  • Eun, Nam-Gwon;Kim, Chang-Eun
    • Journal of the Korea Safety Management & Science
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    • v.18 no.3
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    • pp.33-45
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    • 2016
  • Construction sites have gradually become bigger and bigger according to Korea economic growth. Also use of tower crane and other heavy equipment has been increased. The increased use of heavy equipment like tower crane is leading to fatality incident. This study will verify hazards to influence tower crane incident through structural and positive verification and find which hazard influence incident risk. The result of this study is as follows. First, while there is a significant difference between safety managers and tower crane operators for working environment, safety management, personal manage among risk factors, we can not find any evidence on the difference in perception of tower crane incident risk between them. Second, task manage risk and personal manage risk has a significant positive effect on perception of tower crane incident risk. Third, while site environment risk has a significant positive moderating effect of task type between risk factors and perception of tower crane incident risk, personal environment risk has a significant negative moderating effect between them.

Mental Stress and Stress Factors of Female Workers (여성근로자 정신스트레스와 스트레스 부하요인에 관한 연구)

  • Ahn, Min Seon
    • Korean Journal of Occupational Health Nursing
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    • v.8 no.2
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    • pp.141-155
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    • 1999
  • For the purpose of disclosing the mental health status as well as its stress factors of female workers in industry, a questionaire survey was carried out on 283 female workers, namely. 134 of a service industry(department store) in seoul and 149 of a manufacturing industry(food) in Kyunggi-do district from 24 to 29 January, 1994. The result were as follows : 1. The mean scores of poor mental health indicator showed no significant difference between service industry and manufacturing industry, while the mean scores of good mental health indicator showed a significant difference between those two industries. 2. The mean scores of work stress as social stress factors showed a significant difference between service industry and manufacturing industry. However, no significant difference was observed between the mean scores of personal stress factor between those two industries. 3. In general, the work stress factor was more significantly contributed by marital status, while the social stress as well as the personal stress factor were contributed more by monthly income. 4. The major contributing factor to the poor mental health was the personal stress factor in general, followed by the work stress factor. However, the weight of these two stress factors was reversed according to the type of industries.

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Factors Influencing Behavioral Intention to Use Online Learning Systems from Student's Perspective: An Extended TAM Model

  • Yang, Yi;Kim, Min-Yong
    • The Journal of Information Systems
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    • v.32 no.4
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    • pp.95-118
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    • 2023
  • Purpose This study employed the Technology Acceptance Model (TAM) to understand students' acceptance of online learning systems. Specifically, this study investigated the factors influencing the behavioral intention of South Korean major university students to use online learning systems for educational purposes in the period when their university life had largely returned to the state it was in before the COVID-19 pandemic. Design/methodology/approach This study examined the impact of four external factors: self-efficacy, personal innovativeness, perceived enjoyment, and system quality, on two TAM constructs: perceived ease of use and perceived usefulness. Additionally, this study explored how perceived ease of use and perceived usefulness affect the behavioral intention to use online learning systems. We conducted an online-based survey using a structured questionnaire. The data collected from the survey were then subjected to Structural Equation Modeling (SEM) analysis to test the study's hypotheses and examine the relationships among the various constructs. Findings The findings reveal that perceived usefulness and ease of use significantly influence students' behavioral intentions to use online learning systems. Furthermore, factors of self-efficacy, perceived enjoyment, and system quality positively affect perceived usefulness and ease of use. Notably, personal innovativeness impacts ease of use but not perceived usefulness.

Understanding the Role of Inter-Individual Variability in Fatigue Monitoring of Construction Workers

  • Emmanuel C. KIMITO;Junhee JUNG;Seohyun YANG;Eric J. NYATO;Dongmin LEE;Chansik PARK
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.471-478
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    • 2024
  • Effective physical fatigue monitoring is crucial for ensuring the health, safety, and productivity of construction workers, given the physically demanding nature of their work and the challenging environment in which they operate. In recent years, wearable sensors have shown growing potential for physical fatigue monitoring among construction workers. However, such fatigue assessment methods exhibit a significant gap as they often overlook the impact of inter-individual variability, such as differences in height, weight, and body mass index, on physiological signals that indicate physical fatigue. Therefore, this study aimed to investigate the role of personal factors in altering physiological responses, thereby improving the reliability and accuracy of fatigue monitoring using wearable physiological sensors. To explore the impact of these inter-individual factors, we experimentally analyzed the relationship between personal characteristics, physiological signals, and physical fatigue. Our findings reveal that although the inter-individual factors may not be directly correlated with fatigue levels, they significantly affect fatigue through their influence on physiological signals. Incorporation of these factors into a random forest predictive model significantly enhanced its predictive performance. Furthermore, integrating personal features with other variables to create new features in the physical fatigue prediction model notably improves its accuracy, highlighting the potential for developing personalized fatigue detection systems.

Determinants of Research Productivity: A Korean Case

  • Kim, Ki-Hyoung
    • Asian Journal of Innovation and Policy
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    • v.3 no.2
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    • pp.193-215
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    • 2014
  • This study analyzes the factors on the determinants of research productivity. In addition, this study uncovers the relationships between research productivity and various explanatory variables, and between explanatory variables. As for research productivity, 3 indices were used such as the number of papers, patents, and a combination of them. The data is the 3-year average from 2010-2012 by 1,383 researchers from 6 disciplines such as physics, chemistry, biology, mechanical engineering, electricity and electronics, and chemical engineering, reported to the National Research Foundation of Korea. Personal factors such as sex, age, academic rank and location of affiliation show the group difference for productivity. In addition, most resource factors such as the number of graduate students and research funds showed the same result with personal factors. As for the determinants, master and doctoral students and government funds are the most powerful factors for research productivity, but industry funds for patent and overall productivity.

A Study of the Factors that Impact Chinese Consumers' Purchasing Intent for High-Tech Products

  • Yi, Shan;Su, Shuai
    • Asian Journal of Business Environment
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    • v.4 no.1
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    • pp.37-40
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    • 2014
  • Purpose - This objective of this study is to analyze the factors that impact Chinese consumers' purchasing intent for high-tech products. The study examines smart phones'features, Chinese personal consumer characteristics, and social influence. Research design, data, and methodology - The study employed survey data based on 200 questionnaires in principal Chinese cites between October and December 2011. SPSS 17.0 was employed to analyze the data used to test the hypotheses the analysis results confirmed some hypotheses proposed. Results - Hypothesis 1, Hypothesis 4, and Hypothesis 7 proposing that utilization, social image, and attractiveness, respectively, of smart phone elements influence the Chinese consumers' purchasing intent are supported. Conclusions - This study found the factors that impact purchasing intent for high-tech products among Chinese consumers, with some factors like social image, attractiveness, and utilization playing critical roles; however, hypotheses proposing factors such as ease of use, pleasantness, personal innovativeness, and compatibility were rejected. In future, more research focusing on the elements of smart phones is required.

A Study on the Life Satisfaction of Married Immigrant Women : focusing on ecosystem perspectives (결혼이주여성의 생활만족도에 관한 연구: 생태체계적 관점에서)

  • Kwon, Taeyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.239-250
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    • 2018
  • This study classified the predictors affecting the life satisfaction level of married immigrant women into socio-demographic factors (age, education, personal system factors (Korean proficiency, self-rated health, depressed mood, multicultural attitude), family system factors (spouse relationship satisfaction, child relationship satisfaction, couple conversation time, decision-making status), and social factors (social support, social capital, experience of social discrimination, multicultural family support center use) based on ecosystem perspectives and comprehensively examined their effects. The data for 14,464 married immigrant women from the National Survey on Multicultural Families 2015 were analyzed through hierarchical multiple regression. The findings of this study are as follow. First, the results indicated that all ecosystem factors- that is personal, family, and social system factors-significantly affected life satisfaction level of married immigrant women and especially personal and family system factors increased the predictability on their satisfaction. Second, among all predictors, spouse relationship satisfaction was the factor most strongly associated with life satisfaction. Finally, the income variable among socio-demographic factors, depression among personal system factors, spouse relationship satisfaction among family system factors, and experience of social discrimination among social system factors all showed the strongest significant effects on the life satisfaction level of married immigrant women. These results suggest that comprehensive factors based on the ecosystem perspectives to intervene and promote the life satisfaction of married immigrant women should be considered.