• 대한간호학회지
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• 제24권4호
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• pp.584-596
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• 1994

The objective of the study is to explore the relationships between the variables of nursing productivity on the framework of system del in the tertiary university based care hospital in Korea. Productivity is basically defined as the relation-ship between inputs and outputs. Under the proposition that the nursing unit is a system that produces nursing care output using personal and material resources through the nursing intervention and nursing care management. And this major conception of nursing productivity system comproises input, process and output and feed-back. These categorized variables are essential parts to produce desirable and meaningful out-put. While nursing personnel from head nurse to staff nurses cooperate with each other, the head nurse directs her subordinates to achieve the goal of nursing care unit. In this procedure, the head nurse uses the leadership of authority and benevolence. Meantime nursing productivity will be greatly influenced by environment and surrounding organizational structures, and by also the operational objectives, the policy and standards of procedures. For the study of nursing productivity one sample hospital with 15 general nursing care units was selected. Research data were collected for 3 weeks from May 31 to June 20 in 1993. Input variables were measured in terms of both the served and the server. And patient classification scores were measured drily by degree of nursing care needs that indicated patent case-mix. And also nurses' educational period for profession and clinical experience and the score of nurses' personality were measured as producer input variables by the questionnaires. The process varialbes act necessarily on leading input resources and result in desirable nursing outputs. Thus the head nurse's leadership perceived by her followers is defined as process variable. The output variables were defined as length of stay, average nursing care hours per patient a day the score of quality of nursing care, the score of patient satisfaction, the score of nurse's job satis-faction. The nursing unit was the basis of analysis, and various statistical analyses were used : Reliability analysis(Cronbach's alpha) for 5 measurement tools and Pearson-correlation analysis, multiple regression analysis, and canonical correlation analysis for the test of the relationship among the variables. The results were as follows : 1. Significant positive relationship between the score of patient classification and length of stay was found(r=.6095, p.008). 2. Regression coefficient between the score of patient classification and length of stay was significant (β=.6245, p=.0128), and variance explained was 39%. 3. Significant positive relationship between nurses’ educational period and length of stay was found(r=-.4546, p=.044). 5. Regression coefficient between nurses' educational period and the score of quality of nursing care was significant (β=.5600, p=.029), and variance explained was 31.4%. 6. Significant positive relationship between the score of head nurse's leadership of authoritic characteristics and the length of stay was found (r=.5869, p=.011). 7. Significant negative relationship between the score of head nurse's leadership of benevolent characteristics and average nursing care hours was found(r=-.4578, p=.043). 8. Regression coefficient between the score of head nurse's leadership of benevolent characteristics and average nursing care hours was significant(β=-.6912, p=.0043), variance explained was 47.8%. 9. Significant positive relationship between the score of the head nurse's leadership of benevolent characteristics and the score of nurses' job satis-faction was found(r=.4499, p=050). 10. A significant canonical correlation was found between the group of the independent variables consisted of the score of the nurses' personality, the score of the head nurse's leadership of authoritic characteristics and the group of the dependent variables consisted of the length of stay, average nursing care hours(Rc²=.4771, p=.041). Through these results, the assumed relationships between input variables, process variable, output variables were partly supported. In addition it is also considered necessary that-further study on the relationships between nurses' personality and nurses' educational period, between nurses' clinical experience including skill level and output variables in many research samples should be made.

• 한국식품영양과학회지
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• 제42권4호
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• pp.633-643
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• 2013

본 연구는 전라남도지역 대학급식의 서비스 품질에 대한 인식 및 고객의 태도를 파악하고 대학급식의 운영전략을 제안하고자 수행하였다. 2011년 8월 30일에서 11월 30일 사이에 설문조사를 진행하였고, 총 600부의 설문지를 배포하여 총 580부가 회수되었으며, 부적절한 응답을 한 것을 제외하고 571부를 최종분석에 사용하였다. 대학급식 이용 실태조사 결과, 대학급식을 전혀 이용하지 않고 있는 비율이 21.9%로 조사되었고, 48.7%가 1주일에 1~2회 정도만 대학내에 급식을 이용하고 있는 것으로 나타났고, 1주일에 3~4회 이용은 20.4%로 나타나 대학급식의 이용횟수가 비교적 좋지 않은 것으로 나타났다. 서비스 품질에 대한 평균 수행도는 3.01점으로 중간 수준을 보였다. '편이성' 점수가 3.25점으로 '서비스 품질' 점수(2.93)와 '음식 품질' 점수(2.94)보다 높은 수행도 인식을 가지고 있는 것으로 조사되었다. 13개의 항목 중에서 '식당위치의 편리성(3.31)'이 가장 높은 수행점수로 나타났고, 그 다음으로 '신속한 배식(3.23)', '식사 가격(3.22)'으로 조사되었다. 반대로 '메뉴선택의 다양성(2.60)'은 가장 낮은 수행도로 조사되었다. 대학급식에서 우선적으로 개선해야할 품질속성을 제언하기 위하여 서비스품질 속성에 대한 인식도와 중요도를 기초로 IPA 수행한 결과, 대학급식에서 우선적으로 개선이 필요한 속성으로는 '음식의 맛', '메뉴선택의 다양성', '음식의 질(재료의 신선도)'로 분석되었다. 중요도 수행도 모두 높은 항목은 '위생 및 청결', '식사가격'으로 분석되었다. 이에 비해 중요도 수행도 모두 낮은 항목으로는 '편안하고 조용한 식사분위기', '쾌적한 환경', '고객 불만에 대한 신속한 처리'로 분석되었고, 중요도 대비 수행도가 높은 항목으로는 '식당위치의 편리성', '신속한 배식서비스', '음식의 양', '종업원의 서비스', '영양적으로 균형 있는 식사'로 조사되었다. 서비스 품질이 전반적인 만족도에 미치는 영향 분석결과, 대학급식의 전반적인 만족도에 영향을 미치는 회귀계수에는 '음식(p<0.001)'과 '편이성(p<0.05)'으로 분석되었고, 서비스 품질이 가치에 미치는 영향을 분석한 결과, 대학급식의 가치에 대한 인식에 영향을 미치는 독립변수는 '음식(p<0.001)'과 '서비스(p<0.05)'로 분석되어 가치에는 '음식'이 가장 큰 영향을 미치고 '서비스'가 그 다음 순으로 분석되었다. 서비스 품질이 재방문의도에 미치는 영향분석결과에서는 재방문의도에는 '음식'이 가장 큰 영향을 미치고 '서비스'가 그 다음 순으로 나타났다. 서비스 품질이 추천의도에 미치는 영향 분석결과에서는 '음식(p<0.001)'만 유의적인 정(+)의 영향을 미치는 것으로 분석되었다. 이상의 결과를 종합하여 볼 때 대학급식의 고객인 대학생들이 인식하는 대학급식은 대학 내에 편리한 장소에 위치하여 신속하게 양껏 먹을 수 있는 편이성과 종업원들에 대한 서비스는 상당히 만족하는 것으로 분석된 반면에 음식의 맛과 다양성, 그리고 음식의 질에 대해서는 상당히 불만족한 요인으로 분석되었다. 이에 대해 음식의 맛과 메뉴 선택의 다양성 개선을 위한 실질적인 운영전략을 세우고 노력해 나가야 할 것이다.

• 지능정보연구
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• 제16권4호
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• pp.131-145
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• 2010

ERP, SCM 등과 같은 기업용 정보 시스템을 활용함에 있어, 고객의 문의에 따라 제품 판매 가능 유무와 가능일자를 계산하여 통보해 주는 지능형 ATP 시스템은 전산 정보를 활용하여 고객 만족도를 최대화할 수 있는 유용한 기능이라고 할 수 있다. 그렇지만 공급 사슬 환경에서 ATP 시스템을 적용하려고 할 경우, 고객이 문의해 온 Retailer에게 납품 가능한 모든 분배센터(Distribution Center)와 공장(Plant)의 미래 시점의 재고량 변화와 운송 능력 등을 모두 고려하여야 하므로 계산량이 방대한 NP-Complete 문제가 된다. 따라서 시스템 사용자가 빠른 시간 내에 해를 구하여 고객에게 결과를 알려 줄 수 있는 ATP 시스템의 개발은 공급 사슬 관리를 효과적으로 활용하기 위하여 반드시 필요한 일이라고 할 수 있다. 본 논문에서는 동적 생산 함수의 개념을 이용하여 비 정수 타임 랙을 고려하여 ATP 시스템을 모델링하고, 해당 수리 모형으로부터 효율적으로 해를 얻기 위하여 유전 알고리듬을 개발하였다. 비 정수 타임 랙을 활용한 ATP 시스템은 비 정수 타임 랙을 올림이나 내림을 통하여 정수화 시킨 후 모형 수립하는 기존의 방법보다 정교하게 현실을 반영할 수 있고, ATP 시스템을 위한 유전 알고리듬의 진화 시스템은 문제크기가 작은 것에서부터 큰 것까지 최적해에 매우 근사한 값을 매우 빠른 시간 내에 풀 수 있음을 알 수 있었다.

• Asia pacific journal of information systems
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• 제20권3호
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• pp.139-166
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• 2010

The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.