Purpose: In this research multi-level analysis was done to identify factors related to quality of services. Patient characteristics and organizational factors were considered. Methods: The data were collected from the Health Insurance Review and Assessment Service(HIRA) data base. The sample was selected from 17,234 patients who had been admitted between January 2007 and May 2008 to one of 253 long-term care hospitals located in Seoul, six other metropolitan cities or nine provinces The data were analyzed with SAS 9.1 using multi-level analysis. Results: The results indicated that individual level variables related to quality of service were age, cognitive ability, patient classification, and initial quality scores. The organizational level variables related to quality of service were ownership, number of beds, and turnover rate. The explanatory power of variables related to organizational level variances in quality of service was 23.72%. Conclusion: The results of this study indicate that differences in the quality of services were related to organizational factors. It is necessary to consider not only individual factors but also higher-level organizational factors such as nurse' welfare and facility standards if quality of service in long term care hospitals is to be improved.
The purpose of this study was to explore how the number of network organizations, network continuity and service continuity of community child centers were affected by the charge factors, organizational factors and environmental factors of community child centers. To better understand this, we researched 107 community child centers in Chonbuk Province. The key results are as follows. The interpersonal connections of the charge factors had a strong effect on the number of network organizations, but organizational factors and environmental factors appeared to have no effect on the number of network organizations. The operational type(religious group), organizational support level of the organizational factors and public-private cooperation, regular consultative group operation(no) of the environmental factors appeared to have an effect on the level of network continuity. The region(local), regular consultative group operation(yes) and public-private cooperation of the environmental factors appeared to have an effect on the level of service continuity. It was hoped that the results would enable us to explore how factors related to a network had an effect on the service continuity, the number of network organizations and clients referral network continuity, and they appeared to have an effect on the service continuity.
Today, many organizations are reengineering themselves to develop new ways to thrive in a foreign and unforgiving business environment. However, it is reported that many companies involved in the project of business process reengineering are dissatisfied with their results. Therefore, we developed an exploratory framework based on three constructs such as critical success factors, organizational maturity level, and performance and applied these to help analyze current practice in business process reengineering. To proceed with our research, this paper was organized around two research questions in business process reengineering. We addressed: (1) To what extent does certain critical success factors correlate with performance? and (2) How does the relationships between critical success factors and performance differ by organizational maturity level? From the research results, we could find relationships between critical success factors(i.e., project management, change management, objective management) and performance, and could verify differences in performance of organizations grouped by organizational maturity level.
The purpose of this study was to test various variables that affect CRM performance in order to evaluate CRM performance. The results of the proposed research hypotheses are as follows; First, the IS based factors perform more important roles on system and information quality compared to organizational factors. Second, the variables of IS and planning capability playa role as a parameter. Third, among organizational factors, non-structural factors such as degrees of acceptance of business transition, support of CEO, and customer-orientation perform more important roles on CRM. Fourth, IS based factors have bigger Impact on information quality than system quality. Fifth, it was proven that IS quality, proposed as a parameter and as a dependant variable, and CRM have significant relations.
This study analyzed the effect of the factors of introducing information technology(organizational and environmental characteristics) on non-financial performance. As detailed variables of each characteristic, the technical support/task force, users' IT capability, and education/training were used for the organizational characteristics while the degree of competition, external pressure, and uncertainty of environment were used for the environmental characteristics. In the results of the analysis, such factors like technical support/task force, users' IT capability, and education/training of the organizational characteristics had significant influence on non-financial performance. Also, factors such as degree of competition, external pressure, and uncertainty of environment of the environmental characteristics had significant influence on non-financial performance.
This study relates to the problems of organizational performance in the Christian hospitals. In this study, quality of working life (QOWL), which harmonizes individual as well as organizational goals, was used as an indicator of organizational performance from the open systems view. In order to identify the behavioral factors influencing QOWL in hospitals, self-administered questionnaires were distributed to 1,926 employees who were randomly selected from fifteen Christian hospitals from August 1 to August 30, 1986. The following results were obtained: 1) All correlation coefficients between QOWL and behavioral variables were statistically significant even though their magnitude varied according to hospital size. 2) Using factor analysis, 32 variables were parsimoniously grouped into four factors: individual conflicts, group behavior, organizational characteristics and situation, and job characteristics. The proportion of variance explained by these factors ranged from 33.5% to 38.6% according to hospital size. 3) The overall effects of the four factors in the multiple logistic models ranged from 0.85 to 3.12 according to hospital size. Among three hospital models, the model for small hospitals showed the best statistical fit. 4) The most influential factor was organizational characteristics and situation with an odds ratio ranging from 1.99 to 3.02. Again, the odds ratio was the highest for small hospitals. 5) For large hospitals, the two main factor effects were statistically significant: organizational characteristics and situation, and job characteristics. For medium hospitals, all main factor effects except job characteristics were statistically significant. For small hospitals, all main factor effects except group behavior were statistically significant. However, a factor interaction effect was shown only for large hospitals where it was statistically significant. 6) To examine whether the four factors influence financial performance, the four factor scores from the two financial performance groups were compared using Mann-Whitney test. The test results showed that the organizational characteristics and situation factor score was significantly different only for small hospitals.
Objectives : The purpose of this study was to explore and describe the factors related to clinical nurses' organizational socialization, process and to find out the strategic information for successful organizational socialization. Methods : Data were collected with a structured questionnaires from 300 clinical nurses. The data were analyzed with SPSS/WIN 21.0. Results : First, the average score for the organizational socialization($2.95{\pm}0.37$), organization climate($3.28{\pm}0.43$), autonomy($3.23{\pm}0.43$), role stress($3.21{\pm}0.56$), professional self-concept($3.19{\pm}0.46$), organization value internalization($3.11{\pm}0.59$), and perceptional justice($2.91{\pm}0.50$). Second, influencing factor of organizational socialization of the participant were organizational climate, role stress, professional self-concept, Job esteem, Living arrangement type, collaboration between medical professionals in hospital, the other hospital work experience, role model or Mentor, total hospital career, perceived health status, spouse, perceptional justice, Adjusted $R^2=.702$. Conclusions : These results suggest that organizational socialization of clinical nurses could be enhanced by organizational climate. Thus creating a positive organizational climate are mandated for clinical nurses to have constructive organizational socialization.
This study investigated the relationship between the organizational culture, organizational support, organizational health, personal health, and quality of work life of dental hygienists and analyzed the factors affecting the quality of work life in order to identify ways to improve their quality of work life. A total of 320 dental hygienists completed a self-administered survey; after excluding data from 21 respondents, 299 responses were included in the analysis. Frequency analyses, t-tests, one-way analysis of variation (ANOVA), and correlation analyses were conducted. A path analysis was also conducted to confirm the causal relationships. The findings are as follows. First, there was a significant difference in several general characteristics of the organizational culture including years in the current job and the number of dental hygienists; organizational support including age and the number of dental hygienists; organizational health including years in the current job and annual salary; and personal health including annual salary. Second, the quality of work life showed a positive correlation with organizational culture, organizational support, personal health, and organizational health in that order. Third, the results of path analysis revealed that organizational culture had a positive effect on organizational support; organizational support and personal health on organizational health; organizational support on personal health; and organizational support and organizational health on quality of work life. In addition, organizational support and organizational health had a direct effect on the quality of work life, while organizational culture, organizational support, and personal health had an indirect effect. These results indicated existence of a relationship among organizational culture, organizational support, organizational health, personal health, and quality of work life. It is necessary to identify ways to improve the quality of work life of dental hygienists.
This study examines the effect of communication type of food service employees on the self-efficiency and organizational commitment. To accomplish the purpose of the study, a survey was conducted to employees of food service companies located in Seoul, from August 5, 2013 to August 25, 2013 as a method of empirical study. The results of this study was analyzed using the SPSS WIN 12.0 and statistical reliability analysis, factor analysis, frequency analysis, correlation analysis and multiple regression analysis were conducted for hypothesis verification. The analysis results of this study are as follows. First, the R-square of regression result for 'communication type will have a positive effect on self-efficiency' was .220. Also, it was found that factors of consideration (Beta=.286, t=5.622), instruction (Beta=.303, t=5.970) and business (Beta=.214, t=4.217) had positive effects on self-efficiency. Values for factors of consideration and instruction were higher than business. Second, the R-square of regression result for 'communication type will have a positive effect on organizational commitment' was .429. Also, it was found that factors of consideration (Beta=.453, t=10.428), instruction (Beta=.380, t=8.749) and business (Beta=.282, t=6.477) had positive effects on organizational commitment. Values for factors of instruction and business were high but value of consideration factor turned out the highest. Third, the R-square of regression result for 'self-efficiency will have a positive effect on organizational commitment' was .334. Also, it was found that out of the factors of positivity (Beta=.369, t=8.423), confidence (Beta=.415, t=8.833) and negativity (Beta=-.072, t=-1.536), positivity and confidence had positive effects on organization commitment, and only positivity and confidence showed high values in organization commitment. Upon analyzing the effect of factors of self-efficiency (positivity, confidence, negativity) on organizational commitment, it was found that positivity and confidence showed high relevance but the negativity factor did not have any correlation.
This study was carried out to find out factors affecting on organizational commitment of hospital physical therapists in Korea. The sample used in this study consisted of 135 physical therapists who were working in hospitals located in Seoul. The data for analysis were collected by questionnaire survey. The major statistical methods used for the analysis were factor analysis and multiple regression analysis. The dependent variable of the study was organizational commitment (responsibility of organization and propensity to stay), and the independent variables were general characteristic of respondents and components of job satisfaction - "task", "organizational operation system", "opportunity of development", "interpersonal relationship" - of hospital physical therapists. Important factors affecting the responsibility of organizational commitment were religion, work period, task satisfaction, opportunity of development. And propensity to stay was significantly affected by religion, work period, and four components of job satisfaction. In considering above findings, for improving factors affecting on organizational commitment of physical therapists, hospitals need to develop strategies for enhancing job satisfaction by providing the adequate job environment.
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