• Management & Information Systems Review
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• v.20
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• pp.33-60
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• 2007

This study is a study on the impact factor of the sustainable giving behavior on the non-profit organization. According the research by non-profit organization, the main factors of most individual donators was given by stimulating sympathy. Also, the donators of the non-profit organization wanted to get a certain convenience and benefit through their donation under the reciprocity. The present study is an attempt to develop a more through understanding of the potential and actual impact factors of the sustainable giving behavior on the non-profit organization. Expecially, it also consists of an effort to assess the impact factors of the sustainable giving behavior on the non-profit organization.

• Journal of Information Technology Applications and Management
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• v.17 no.4
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• pp.127-156
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• 2010

Most companies in the IT service industry have suffered from low profitability although this industry is highly value added, which may result in losing the competitiveness of the industry. The purpose of this study is to identify the influencing factors on the profit improvement rate of IT service projects and suggest how to improve the profit improvement rate, thus recovering the competitiveness of the IT service industry. The 273 IT service projects conducted by an IT service company in Korea during the past three years were analyzed and the project managers who performed these projects responded to the questionnaire developed in this study. The result from the analysis of data collected shows that the influencing factors on the profit improvement rate of IT service projects include scheduling, experience in similar projects, the leadership of project leaders, the level of team skills, relationship with clients, and clients support.

• Korea Journal of Hospital Management
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• v.9 no.2
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• pp.102-127
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• 2004

The objective of this study is to analyze a current trend of and relating factors on profitability of the Korean Public Corporation Medical Centers(KPCMCs, hereinafter, hospitals) in Korea. There are 34 hospitals in Korea as of 2004. Among these hospitals some are red ink hospitals, others are black inks in terms of profitability. Data were collected by Korea Health Industry Development Institute(KHIDI) Statistics for Hospital Management 2000-2002 and Ministry of Health and Welfare(MOHW) financial data of public hospitals which was planned to coordinate public health care services roadmap in the long run. The samples are 32 hospitals. Profitability was measured in the aspect of profit rate with normal profit to total assets, and normal profit to gross revenues as dependent variables in respective. Independent variables were classified by general factors, i.e., location, intern/resident training, period of opening, number of beds, and managerial factors(current ratio, fixed ratio, liability to total assets, total assets turnover, personnel costs, materials cost, administrative cost), and finally factors related to patient treatment(average length of stay, bed occupancy rate, admission ratio of outpatients). The methods of analysis are correlation and multiple regression analysis. This study shows firstly, a lot of hospitals are optimal current ratio. Hospitals in upper 100% current ratio are 81.2%. And the personnel cost in total costs are high. Secondly, the trend of normal profit to gross revenues of hospitals are deteriorating gradually. And lastly, as a result of multiple regression analysis, the factors had on significant effect on normal profit to total assets are fixed ratio(+), liability to total assets(-), bed occupancy rate(+), admissions of outpatients(+), etc. And the factors had on significant effect on normal profit to gross revenues are current ration(+), fixed ratio(+), personnel cost(-), administrative expenses(-), admissions of outpatients(+), etc. In conclusion, to improve the profitability of hospitals, the efforts to reduce personnel cost and average length of stay might be needed. And also beds utilization rate need to be increased.

• The Korean Journal of Health Service Management
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• v.4 no.1
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• pp.99-110
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• 2010

The purpose of this study is to analyze the internal factors that influence the performance of local government hospitals in Korea. Out of 34 Local Government hospitals, 6 hospitals were selected as sample hospitals. Then hospitals were divided into two groups(3 hospitals each), one of which was profit-making and the other loss-making. The criteria in selecting profit or loss-making hospitals was Normal Profit to Total Assets. The major findings of this study were as follows : The headcount per 100 bed of the profit-making hospitals was 8.8 persons less than the loss-making hospitals and the ratio of payroll expenses to total revenue 14.7% less. Inpatient bed occupancy ratio of the profit-making hospitals was 92.8%. This result is higher 21.8% than loss-making hospitals.

• Journal of Korea Port Economic Association
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• v.40 no.2
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• pp.91-105
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• 2024

The purpose of this study is to measure profit efficiency in the domestic shipping industry and to examine the factors determining that efficiency. Empirical results indicate that the shipping industry's short-term profits heavily depend on physical input factors, specifically capital stock. Notably, a 1% increase in capital stock leads to a 0.84% increase in short-term profits. In terms of secondary determinants, effective management of financial indicators representing stability, profitability, and growth can reduce profit inefficiency. Additionally, larger scale correlates with higher profit efficiency, indicating the need for expansion of water transportation companies. Given the rapid increase in profit efficiency in the ocean-going shipping industry since 2020, tailored support and investment are necessary.

• Korea Journal of Hospital Management
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• v.19 no.2
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• pp.12-21
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• 2014

Purpose: This study was conducted to examine the factors associated with medical profit per bed related job satisfaction and patients satisfaction in public hospitals. Method: A cross-sectional survey was conducted through staff and patients in 39 hospitals (34 local province hospitals, and 5 red-cross hospitals) from September to October in 2011. A questionnaire was designed to collect information on job satisfaction, inpatients and outpatients satisfaction. The data of medical profit per bed was collected in 2011 annual financial reports from each 39 hospitals. Finally, data from 5,521 staff, 1,730 in-patients and 1,730 out-patients were analyzed. Multiple logistic regression analysis was performed to determine factors associated with medical profit per bed related job satisfaction and patients satisfaction in public hospitals. Results: The medical profit was positively correlated with job satisfaction of staff. As the results of multiple logistic regression, the significant variables of medical profit per bed, were communication satisfaction of staff(OR=0.48, 95% CI=0.25-0.91), hospital environment satisfaction of in-patients(OR=1.53, 95% CI=1.05-2.22). Conclusion: The satisfaction of patient and staff were significantly effect to medical profit in public hospitals. The Government and administrators have make an effort to improve satisfaction of staff and patients in public hospitals.

• Health Policy and Management
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• v.33 no.1
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• pp.55-64
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• 2023

Background: Despite the various activities of the regional public hospitals, discussions are being made as to whether or not to continue due to the issue of financial deficit. Therefore, the main factors affecting the fiscal deficit were analyzed with 10-year data. Methods: This study is a panel analysis that analyzed the characteristics of 34 regional public hospitals and influencing factors on medical benefits for 10 years from 2010 to 2019. First, we analyze the determinants of medically vulnerable areas set by the government, analyze the trend of medical profit per 100 beds and medical profit rate from 2010 to 2019, and identify the factors that affect them. Results: Differences in medical profit per 100 beds and medical profit-to-medical profit rate were caused by market share representing regional characteristics, and both indicators improved as the number of outpatients increased. The important influencing variables are the number of doctors and nurses, and both indicators improve when there are specialists, but medical benefits decrease as the number of doctors increases when judged by the number of people per 100 beds. In addition, the number of nurses per 100 beds does not contribute to medical profit and has a negative effect on the medical profit ratio. Conclusion: As only regional characteristics were taken into account for medically vulnerable areas, operational characteristics need to be considered. The greatest impact on the finances of local medical centers is the proper staffing of doctors and nurses, and their efficient arrangement is the most important factor in financial stability.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.197-200
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• 1997

Each company is more interested in the productivity to achieve cost reduction and profit maximization through productivity improvement. With this trend, we show the method to measure productivity using TPM(Total Productivity Model) which considers all the input factors of the company instead of using partial productivity such as labor and/or capital productivity We also examine the relation of productivity versus output, profit versus output and profit versus productivity of the case company by actually applying the TPM and suggest the optimal level of profit and output for this company.

• Korea Journal of Hospital Management
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• v.4 no.1
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• pp.41-65
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• 1999

This study was attempted to identify the factors affecting profitability of general hospital in Kyung-In Region. Operating profit to gross revenues and net profit to gross revenues were used as a proxy indicator for profitability of hospitals. The unit of analysis was hospital, and the data were collected 5 years data from 20 hospitals. The major findings are as follows; (1) The average operating profit rate was 1.03% and the net profit rate was -5.00% in twenty hospitals in the Kyung-In Region for the last five years. In terms of maximum surplus, the operating profit rate was 14% and net profit rate was 3.40%. In terms of maximum loss revenue, the operating profit rate was -16.56% and the net profit rate was -22.83%. (2) Since the year 1993, which was the starting year of this study, the operating profits and the net profits consistently decreased. (3) Analyzing the difference in profits among various hospital groups, the tertiary hospital group and the 501-1000 beds group exhibited the highest in operating profit rate. Also, among the higher grade number of beds in hospital group, per 100 beds group, the 41-50 beds group exhibited the highest in operating profit rate. There is a statistically significant difference in those groups(p<0.05, p<0.01). (4) In the health care delivery system, the profit gain in the secondary hospital was 51.5% and in the tertiary hospital was 72.4%. Based on the number of beds in each hospital group, the highest profit gain was 75.0% in the over 1001 beds group, and 71.4% in the 501-1000 beds group. Also, among the higher grade number of beds in hospital group, per 100 beds group, the 41-50 beds group exhibited 88.6% surplus. (5) According to the surplus difference based on the analysis of health care utilization, a group with over 31 patients in bed turnover rate, a group with over 96% in bed occupancy rate and group with over 9% in emergency cases to outpatient visits exhibited the highest profit gains. In addition, a group with over 301 patients in daily outpatient visits per 100 beds and group with 11-12 days average length of stay exhibited the highest profit gains. These results are statistically significant(p<0.05, p<0.01). (6) According to a stepwise regression analysis, the variables measuring the bed turnover rate, number of licensed beds, and number of outpatient visits per specialist explain 34.1% of the variation in operating profits. In terms of net profits, the new outpatient visits, the bed turnover rates and the number of general bed variables explain 30.6%. These results are statistically significant(p<0.01).

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.664-694
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• 2020

Much has been written on Information Systems Planning in the for-profit organisations, but little is known about it in the Not-for-Profit sector, particularly in the Australian context. This paper has attempted to conceptualise the problem of Information Systems planning in the Not-for-Profit organisations. It provides insight into Information Systems Planning practices in Not-for-Profit-Organisations and the problems of current Information Systems Planning practices in Not-for-Profit-Organisations. The contribution of this paper is two folds, theoretically and for practitioners. Theoretically, it has provided a model that enables people to understand why or why not Not-for-Profit-Organisations do or do not conduct Information Systems Planning. Regarding practitioners, the factors identified in this study would help planners, managers and executives to understand the key areas and plan accordingly and for donors they would be able to understand where are their contributions needed the most and be able to follow up and ensure that their donations/contributions are utilised in the right areas hence increase Not-for-Profit-Organisations accountability with regards to planning for Information Systems.