• Culinary science and hospitality research
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• v.15 no.4
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• pp.227-244
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• 2009

This study was conducted to develop a multiple-item scale for measuring the food service quality in the restaurant industry. For developing the scale, Kelly Repertory Grid Methods were conducted. Collected data of food service quality were analyzed with the reliability analysis and the factor analysis of SPSS 12.0 and the 3rd-order confirmatory factor analysis of LISREL 8.70. The food service quality model of this study is conceptually based on the Brady and Cronin(2001)'s hierarchical approach to the service quality model. The hierarchical model of the food service quality which comprises three constructs of the physical environment quality, the interaction quality and the food quality as a primary dimension. The hierarchical approaches to the food service quality help overcome the limitations of the SERVQUAL model for which some arguments have been made that it lacks a clear division between the dimensions and its subsequent overlapping between them.

• Journal of Korean Society for Quality Management
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• v.40 no.2
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• pp.156-165
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• 2012

The objective of this study is to identify the critical dimensions of comprehensive quality and to prioritize them for improvement of the quality competitive advantage. The critical dimensions, sub-dimensions and measurement items of comprehensive quality were abstracted from literature of quality, and constructed a model of hierarchical structure. 115 experts in four groups(supplier, buyer, consultant, and professor) were participated in pair-wise comparison of quality dimensions, but some of these responses were removed because the overall consistency of evaluator judgements exceed the acceptable ratio of 0.10. The priorities of quality dimensions for industrial and consumption goods were calculated respectively using the analytic hierarchy process(AHP) approach. As a result, product quality had the highest weight of 0.65, followed by support quality(0.18) and service quality(0.17) for industrial goods while product quality also had the highest weight of 0.62, but service quality(0.22) was preferred over support quality(0.16) for consumption goods.

• Korean Journal of Social Welfare
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• v.61 no.3
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• pp.103-127
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• 2009

This study examined the relationships among the case management implementation factors, client satisfaction and quality of life among the persons with mental illness. The survey and interviews were conducted to the 18 community-based mental health service agencies which were implementing case management, and the 381 mentally ill persons who were living in the community and were receiving services from the agencies. The path analysis and the hierarchical linear modeling were used to examine the association among the independent, mediator, and dependent variables. The major finding of this study were that the caseload had the direct relationship with the quality of life. The case management team approach had the direct relationship with the client satisfaction. The suggestions were made that more focus should be on the maintenance of the appropriate caseload, the increase of the number of the case manager, and the team approach.

• Health Policy and Management
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• v.33 no.3
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• pp.311-324
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• 2023

Background: Long-term care insurance for the elderly has been stably established along with the quantitative expansion of long-term care facilities. Indeed, the need for a paradigm about human rights-based service approach is being raised throughout society from a service perspective. Therefore, this study aimed to analyze the association between elderly human rights awareness and quality of service by considering human rights education as a moderate variable. Methods: This study conducted surveys with 138 caregivers working in long-term care facilities located in Seoul and Gangwon. General characteristics, awareness of human rights, and the level of service quality were examined using descriptive statistics, frequency analysis, and correlation analysis. And multi-variable linear regression with a hierarchical framework was employed. These analyses were performed using IBM SPSS ver. 25.0. Results: Of the 138 caregivers, 97.1% were female, 87.7% were more than 50 years old, and most of their education level was high-school graduates. Their length of employment ranged from more than 5 years to less than 10 years. The level of awareness regarding elderly human rights of the elderly was below normal (mean=2.21), but the quality of service was high (mean=4.21), and the need for human rights education was also high (mean=4.28). Among the general characteristics, the length of employment was significantly associated with awareness of elderly human rights. Moreover, political rights awareness, included as sub-domains of human rights, was positively associated with quality of service. However, the moderating variable, human rights education, was not significantly associated with the quality of service. Conclusion: In this study, human rights education, as a moderating variable, did not have a statistically significant effect on caregivers' human rights awareness in relation to service quality. This finding is inconsistent with previous research results. These results can be explained by the fact that the frequency of education in long-term care facilities was a significant factor in the practice of protecting the human rights of the elderly. Therefore ongoing encouragement for the frequency of current human rights education and improvements in the educational approach appear to be necessary. In addition, these findings reveal the need for strength of education policies and effective in-depth research about human rights and quality of service to respect the human rights of the elderly.

• The KIPS Transactions:PartC
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• v.14C no.3 s.113
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• pp.255-266
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• 2007

RSVP (Resource reSerVation Protocol) is the Internet standard protocol for supporting QoS (Quality of Service) requirements by reserving network resources between the sender and the receiver. Several problems, such as common path identification and resource pre-reservation, should be solved to apply RSVP in wireless mobile environments. To resolve these problems, this paper proposes DBRA (Dynamic Branch Router Approach) based on two designated entities, candidate access routers and a branch router. While several RSVP sessions between a branch router and candidate routers are managed, DBRA makes use of only one RSVP session between the sender and a branch router. Based on a network simulation, the proposed scheme has been compared with MRSVP (Mobile RSVP) and HMRSVP (Hierarchical MRSVP) in terms of the average packet transmission rate, bandwidth utilization and RSVP session failure rate.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1387-1390
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• 2008

In a wireless network, handover latency is very important in supporting user mobility with the required quality of service (QoS). In view of this many schemes have been developed which aim to reduce the handover latency. The Hierarchical Mobile IPv6 (HMIPv6) approach is one such scheme which reduces the high handover latency that arises when mobile nodes perform frequent handover in Mobile IPv6 wireless networks. Although HMIPv6 reduces handoff latency, failures in the mobility anchor point (MAP) results in severe disruption or total disconnection that can seriously affect user satisfaction in ongoing sessions between the mobile and its correspondent nodes. HMIPv6 can avoid this situation by using more than one mobility anchor point for each link. In [3], an improved Robust Hierarchical Mobile IPv6 (RH-MIPv6) scheme is presented which enhances the HMIPv6 method by providing a fault-tolerant mobile service using two different MAPs (Primary and Secondary). It has been shown that the RH-MIPv6 scheme can achieve approximately 60% faster recovery times compared with the standard HMIPv6 approach. However, if mobile nodes perform frequent handover in RH-MIPv6, these changes incur a high communication overhead which is configured by two local binding update units (LBUs) as to two MAPs. To reduce this communication overhead, a new cost-reduced binding update scheme is proposed here, which reduces the communication overhead compared to previous schemes, by using an increased number of MAP switches. Using this new proposed method, it is shown that there is a 19.6% performance improvement in terms of the total handover latency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1317-1341
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• 2021

Nowadays, the Internet of Things (IoT) is adopted to enable effective and smooth communication among different networks. In some specific application, the Wireless Sensor Networks (WSN) are used in IoT to gather peculiar data without the interaction of human. The WSNs are self-organizing in nature, so it mostly prefer multi-hop data forwarding. Thus to achieve better communication, a cross-layer routing strategy is preferred. In the cross-layer routing strategy, the routing processed through three layers such as transport, data link, and physical layer. Even though effective communication achieved via a cross-layer routing strategy, energy is another constraint in WSN assisted IoT. Cluster-based communication is one of the most used strategies for effectively preserving energy in WSN routing. This paper proposes a Bio-inspired cross-layer routing (BiHCLR) protocol to achieve effective and energy preserving routing in WSN assisted IoT. Initially, the deployed sensor nodes are arranged in the form of a grid as per the grid-based routing strategy. Then to enable energy preservation in BiHCLR, the fuzzy logic approach is executed to select the Cluster Head (CH) for every cell of the grid. Then a hybrid bio-inspired algorithm is used to select the routing path. The hybrid algorithm combines moth search and Salp Swarm optimization techniques. The performance of the proposed BiHCLR is evaluated based on the Quality of Service (QoS) analysis in terms of Packet loss, error bit rate, transmission delay, lifetime of network, buffer occupancy and throughput. Then these performances are validated based on comparison with conventional routing strategies like Fuzzy-rule-based Energy Efficient Clustering and Immune-Inspired Routing (FEEC-IIR), Neuro-Fuzzy- Emperor Penguin Optimization (NF-EPO), Fuzzy Reinforcement Learning-based Data Gathering (FRLDG) and Hierarchical Energy Efficient Data gathering (HEED). Ultimately the performance of the proposed BiHCLR outperforms all other conventional techniques.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.61-64
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• 2007

MPLS networks architectures have been prevailed as scalable approach to provide quality of service in the Internet. Many researches have been mainly focused on scalability and multi-path calculation scheme for failure restoration. However, the MPLS network have an scalability problem about traffic, and the existing failure restoration methods are wasted resources, and it has the problem that loss of a packet by a lot of delay occurs in too. Therefore in this paper, we propose a H-MPLS (Hierachical-Multiprotocol Label Switching)network for rapidly failure restorations and effective management of network extended. The proposed H-MPLS Network apply LSP multi-path routing algorithm and consists of several MPLS. After comparing the performance among the existing failure restoration methods with various network models, we use NS simulator in order to analyze the performance. Finally, we present an improvement scheme of the efficiency and scalability.

• Health Policy and Management
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• v.25 no.3
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• pp.197-206
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• 2015

Background: The purpose of this study was to propose a method for developing a measure of hospital-wide all-cause risk-standardized readmissions using administrative claims data in Korea and to discuss further considerations in the refinement and implementation of the readmission measure. Methods: By adapting the methodology of the United States Center for Medicare & Medicaid Services for creating a 30-day readmission measure, we developed a 6-step approach for generating a comparable measure using Korean datasets. Using the 2010 Korean National Health Insurance (NHI) claims data as the development dataset, hierarchical regression models were fitted to calculate a hospital-wide all-cause risk-standardized readmission measure. Six regression models were fitted to calculate the readmission rates of six clinical condition groups, respectively and a single, weighted, overall readmission rate was calculated from the readmission rates of these subgroups. Lastly, the case mix differences among hospitals were risk-adjusted using patient-level comorbidity variables. The model was validated using the 2009 NHI claims data as the validation dataset. Results: The unadjusted, hospital-wide all-cause readmission rate was 13.37%, and the adjusted risk-standardized rate was 10.90%, varying by hospital type. The highest risk-standardized readmission rate was in hospitals (11.43%), followed by general hospitals (9.40%) and tertiary hospitals (7.04%). Conclusion: The newly developed, hospital-wide all-cause readmission measure can be used in quality and performance evaluations of hospitals in Korea. Needed are further methodological refinements of the readmission measures and also strategies to implement the measure as a hospital performance indicator.

• Health Policy and Management
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• v.8 no.2
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• pp.149-165
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• 1998

The purpose of this study is to examine the effect of the health status on the quality of life of the rural elderly, and to examine the conditional effect of socialsupport for that influence. 'Quality of life' used in this study was defined by unidimensional approach. The data were collected by conducting individual interviews with 296 rural elderly people aged 60 and the above who were living in one township of Kangwondo, between the time period of October and November 1995. The main findings are as follows: 1. Hierarchical regression analyses were carried out to examine the relative contribution of three set of variables on the quality of life. The first step, which included sociodemographic factors showed that the coefficient of determination (R$^{2}$) was 8% and income was a statisically significant variable. The second step, by adding health related factors, revealed that the R$^{2}$ was increased to 34% by 26% point and the degree of health recognition was the statistically significant variable. The third step, by projecting additionall social support related variables revealed that the R$^{2}$ was 42% 2. The conditional effect of social support was analyzed to examine the influence the health status has on the quality of life. The results are as follows: 1) The IADL and the degree of social contact interacted, resulting in that the higher degree of social contact boosted the stronger effect of IADL. 2) The effect of subjective health recognition on the quality of life is depended upon degree of family ontact. 3) The effect of eyesight on the quality of life is depended upon degree of satisfaction in social relation. The lower the degree of social support was, the bigger the influence of health related variables affecting quality of life became. This study explains that health status is a major factor in predicting the quality of life of the aged. Particularly the subjective health recognition was an important factor as the perception of quality of life.