• Title/Summary/Keyword: resource variables

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Job Satisfaction and Organizational Commitment of Medical Insurance Review Nurses (보험심사간호사의 직무만족과 직장애착에 관한 연구)

  • 서영준;김정희
    • Health Policy and Management
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    • v.11 no.1
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    • pp.62-86
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    • 2001
  • This study purports to Investigate the determinant of job satisfaction and the organizational commitment of medical insurance review nurses working at Korean hospitals. The independent variables contain three groups of determinants: organizational characteristics variables(job autonomy, work unit control, role variety, role ambiguity, role conflict, workload, resource inadequacy, coworker support, supervisor support, distributive justice, promotional chances, job security, and job hazard), environmental variables(job opportunity, spouse support, and parent support), and psychological variables (met expectation, work involvement, positive affectivity, and negative affectivity). The sample used in this study consisted of 445 medical insurance review nurses from 89 hospitals nationwide. Data were collected with self-administered questionnaires and analyzed using multiple regression analysis. The results of the study are as follows : 1) the following variables, listed in order of size, have significant effects on job satisfaction : role ambiguity(-), distributive justice(+), work involvement(+), role variety(+), met expectation(+), negative affectivity(-), job autonomy(+), and positive affectivity(+). 2) the following variables, listed in order of size, have significant effects on organizational commitment: met expectation(+), work involvement(.+), distributive justice(+), job security(+), role variety(+), positive affectivity(+), negative affectivity(-), resource inadequacy(+), and tenure(-). 3) the variance of job satisfaction and organizational commitment explained by the variables used in the study are 30.0% and 39.1% respectively. 4) In comparison to the results of other studies on the determinants of job satisfaction and organizational commitment of clinical nursing staff working at hospitals, the results of this study indicate that three variables of distributive justice, work involvement, and role variety are especially important for improving the level of job satisfaction and organizational commitment of medical insurance review nurses.

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A Study on the Frequency of the Enterprise Informatization Variables : Focused on SER-M Framework (기업 정보화 요인 변수의 연구 빈도에 관한 연구 : SER-M Framework을 중심으로)

  • Choi, Hae-Lyong;Gu, Ja-Won
    • Journal of Information Technology Services
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    • v.15 no.2
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    • pp.125-155
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    • 2016
  • By reclassifying and reinterpreting the factor variables that were used in precedent studies on company informatization by research theme and perspective on them success factor, the present study tried to examine how different the factor variables are in frequency of use and by period, and how importantly they were considered by research theme and perspective on its success factor, combining them with the studies done on mechanism point of view. The key findings of this study are as follows. First, it was found that the frequency of using mechanism variables, which are reclassified based on SER-M perspective, has gradually increased since 1990s. While the frequency of using resource factors sharply increased in 1990s, it decreased from 2000s. It indicates that more studies were conducted of mechanism factors other than resource factors from the early 2000s. Second, when looking at those variables reclassified by research them, it was found that such theme as decision maker, environment, and resource factors were more used than other research themes in the studies on the measuring factors of informatization. Mechanism factors turned out most used among overall research themes. In particular, they were more frequently used in studies related to the performance of informatization. This result evidences that mechanism-related variables are more importantly considered in the studies than other factors. This study produces a practical implication: what factors companies have to manage and secure intensively to attain successful informatization. In addition, this study helps companies seeking informatization understand and take advantage of SER-M factors on the basis of knowledge in the transitional process of the factor variables used in studies by period. It is expected that CIO can use the key findings of this study in monitoring the factors by the stage of informatization.

A Study on Environment-friendly Housing Behaviors and their Related Factors (환경 친화적 주생활 행동과 관련 요인에 관한 연구)

  • Shin, Hee-Yong;Cho, You-Hyun
    • Journal of Family Resource Management and Policy Review
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    • v.14 no.4
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    • pp.39-56
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    • 2010
  • The purpose of this research was to analyze the relationship between environment-friendly housing behaviors and the influential variables among consumers by focusing on housing life. This research carried out a questionnaire survey with housewives living in Seoul and the Metropolitan area using a questionnaire that was composed based on previous research. The housewives' environment-friendly housing attitudes and their resource-saving knowledge level, along with environmental education-related variables, house ownership, and the housewives' employment appeared to be significant variables in explaining the generic environment-friendly housing behaviors found in this research. Three regression equations, classified into purchasing, utilization, and disposal behaviors, were employed. The empirical results were relatively similar to those for the generic environment-friendly housing behaviors; however, each model provided somewhat different results in some specific aspects. All the environmental education-related variables appeared to be significant in explaining environment-friendly housing utilization behaviors, and were similar to the results obtained from the generic environment-friendly housing behaviors. However, the variables were limited in explaining environment-friendly housing-related disposal behaviors. The convenience, recycling ease, and family-structure variables appeared to be significant influences on environment-friendly housing-related disposal behaviors. Most empirical results of this research were consistent with those of previous studies. However, the explanatory independent variables varied, depending on the types of each domain of environment-friendly housing behaviors studied.

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The Characteristics of Family Financial Well-being Types (가계재정복지유형의 특성에 관한 연구)

  • 고보선;임정빈
    • Journal of Family Resource Management and Policy Review
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    • v.4 no.2
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    • pp.45-56
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    • 2000
  • The purpose of this research was to categorize the type of family financial well-being based on objective and subjective dimension. And this study was intended to explore the relations not only those types and the demographic characteristics but also those types and family subsystem; personal subsystem and managerial subsystem. The results of this study were as follows: 1. The type of family financial well-being were categorized as ‘Adequated type’, ‘Dissatisfying type’, ‘Satisfying type’, and ‘Unadequated type’. 2. The objective variables effect the family financial well-being rather then subjective variables. 3. The family cohesion, adjustment and communication pattern and intentional managing efforts increase the family financial well-being.

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A Study on Housewives재s Money Management Strategies and Financial Satisfaction (주부의 화폐관리전략과 재정만족도에 관한 연구)

  • 김혜정;이기영
    • Journal of Family Resource Management and Policy Review
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    • v.1 no.1
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    • pp.17-26
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    • 1997
  • The purpose of this study was to investigate the effects of two variable groups(socio-demographic factors and psychological factors) on money management strategies and financial satisfaction. The major findings of this study are as follows : Household income, level of education of wives, and locus of control had significant effect on the level of financial satisfaction. After the effect of socio - demographic variables and psychological variables was controlled, Especially evaluating strategy was found to be the most powerful variable in explaining financial satisfaction.

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A Prediction of Work-life Balance Using Machine Learning

  • Youngkeun Choi
    • Asia pacific journal of information systems
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    • v.34 no.1
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    • pp.209-225
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    • 2024
  • This research aims to use machine learning technology in human resource management to predict employees' work-life balance. The study utilized a dataset from IBM Watson Analytics in the IBM Community for the machine learning analysis. Multinomial dependent variables concerning workers' work-life balance were examined, categorized into continuous and categorical types using the Generalized Linear Model. The complexity of assessing variable roles and their varied impact based on the type of model used was highlighted. The study's outcomes are academically and practically relevant, showcasing how machine learning can offer further understanding of psychological variables like work-life balance through analyzing employee profiles.

The Assessment of Productivity and Its Influencing Variables in 14 Conventional hospital Foodservice Systems (병원급식 생산성에 영향을 미치는 요인분석)

  • 홍완수
    • Journal of Nutrition and Health
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    • v.27 no.8
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    • pp.864-871
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    • 1994
  • The productivity and 13 influencing variables in 14 conventional hospital foodservice systems the total direct and non-direct labor hours required to produce and serve the total number of patient meals plus the number of cafeteria meals. Human resource variable significantly influencing the productivity level was the labor cost. As this index decreased, the meals served per human hour worked increased. System resource variables correlating significantly with productivity were the length of cycle menu, the ratio of staff meals, and modified patient meal ratio. As the length of cycle menu and the ratio of modified patient meal decreased, more meals were produced per human hour. However, as staff meal ratio increased, the meals served per human hour worked increased. The stepwise regression analysis suggests that around 53% of the variance in productivity is explained by labor cost.

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Participation of Household Labor of Employed Wives and Husbands and It노s Influential variables (취업주부와 남편의 가사노동 참여 실태 및 영향요인)

  • 유희숙;두경자
    • Journal of Family Resource Management and Policy Review
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    • v.3 no.1
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    • pp.123-134
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    • 1999
  • This study investigated the participation of household labor of employed wives and husbands and it’s influential variables. The subjects of this study were 287 couples(employed wives and husbands) living in Seoul. The data were analyzed by various statistical methods such as Frequency, Percentile, Pearson’s Correlation Analysis and Multiple Regression Analysis. The results of this research were as follows: 1. Wives spend on average of 7 hours and 23 minutes(per day), of 6 hours and 35 minutes(per weekday), of 12 hours and 7 minutes (per weekends) on household labor, whereas husbands spend on average of hours and 38 minutes(per day), of 2 hours and 11 minutes(per weekday), of 5 hours and 18 minutes(per weekends) on household labor. Wives performed most childcare, next, food of the household labors. Husbands performed most childcare, next housing of the household labors. 2. In wives’participation of household labor, the influencial variables were the number of child, wive’s age and wive’s education level. In husbands’participation of household labor, the influencial variables were the number of child, husband’s sex role attitude, wive’s age, and flexibility of wive’s work.

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AGRICULTURAL DROUGHT RISK ASSESSMENT USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM

  • Narongrit, Chada;Yeesoonsang, Seesai
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.991-993
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    • 2003
  • The 4 sets of environmental variables dealing with meteorology, hydrology and physiography were analyzed to generate a spatial drought risk index of Phitsanulok province of Thailand. The analysis of K-mean and discriminant were applied to the set of the selective drought variables for grouping each of spatial variable set into 4 classes. The obtained 4 classes, based on group statistics, were thus recoded in the meaning of no risk, low risk, moderate risk, and high risk. The regression coefficient between recoded classes and a set of the selective environmental variables were then applied as spatial variable weighting on thematic dataset in GIS spatial analysis. The results showed that the weighting score of drought variable was highest in meteorological variable compared to other variables.

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Resource Transfers with Parents and the Childbearing Intention Among Women in the Early Stage of Marriage (신혼기 기혼여성과 부모 간의 자원이전과 출산의향)

  • Kim, Juhee;Koh, Sun-Kang
    • Journal of Family Resource Management and Policy Review
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    • v.19 no.2
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    • pp.27-49
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    • 2015
  • The purpose of this study is to identify poorly understood factors related to the recent rapid decline in fertility in Korean society. Along with Becker's child demand theory, personal psychological traits, such as independence, nurturance, and affiliation, were given special attention in this study. We examine the processes of resource transfers between married women and their parents on childbearing intention in order to verify the effects of both factors. Five hundred and seventy-six women in their early stage of marriage from the 2009 wave of the National Survey of Marriage and Childbirth were analyzed. Main results of the study are as follows. First, Becker's child demand theory is not supported. Instead, the women who were not given economic support from their parents in getting a residence at the time of their wedding turned out to be more willing to have a child, potentially because they were more independent. Second, the women who provided caretaking and emotional support to their parents had higher childbearing intentions, potentially because they were more nurturing. In conclusion, these personal psychological variables are important in understanding the childbearing behavior of women. We suggest that the government should pay more attention to the micro-personal factors raised in this study when executing policies to reverse the current trend of low fertility.