Quality Measurement Model Research Articles

Check assumptions and requirements for the implementation of Information Security Management System hospital in Tabriz

the purpose of this study was to investigate and analyze the assumptions and requirements for the implementation of Information Security Management System (ISMS). Methodology: To check assumptions security management system implementation is the population of Tabriz hospitals. Because information security, is considered most hospitals cooperate and only 8 hospitals of Tabriz, as the population of the study. Review the requirements and assumptions are based on the standard ISO / IEC 27001, ISO / IEC 27002 test target setting and ISO 27001 standard questionnaire containing 33 questions in 11 control is used. To analyze the data descriptive and inferential statistical methods were used that implementation of information security management system was confirmed. As well as to identify factors affecting the implementation of information security management system and factor analysis, structural equation model was used PLS smart software that based on its findings indirectly relates to impact the four dimensions of implementation effectiveness of the system. The study findings were presented. Results: Using the software, smart-PLS and using structural equation modeling confirmatory factor analysis was performed to measure the test of convergent validity, divergent validity, reliability Security and reliability of observable variables and quality test and measurement model of the 101 comments experts, all the prerequisites and requirements, including information security policy, the organization of information security, asset management, human resources in terms of security, physical and environmental security, communications and operations management, access control, use, development and maintenance, incident management information security, business continuity management and compliance with laws Brpyadh at 99 per cent is forecast in Tabriz hospitals are effective information security management system. Conclusion: According to prioritize the factors affecting Brpyadh information security management system, operating (after) the most monitors and agents (after) the supply and implementation of information security management system Brpyadh least affected are in Tabriz hospitals.

ARTQUAL

PurposeThe purpose of this paper is to formulate and validate a measurement model to evaluate the service quality of cultural centers. This study aims to expand the domain of service quality measurement models by extending the SERVQUAL model to an alternative measurement tool called the ARTQUAL model based on three different preferences and scenarios including concert halls, theater halls and art galleries.Design/methodology/approachThe data were collected from 15 cultural centers. Structural equation modeling (SEM) was utilized in the current research to study the association between aesthetic environments and service quality. An exploratory factor analysis took place to formulate the fundamentals of the measurement model. The validation process is based on a hybrid framework integrating the covariance-based SEM along with the partial least square technique to present a robust validity of the ARTQUAL model. Ultimately, an extensive managerial analysis has been established to show the practicality of the ARTQUAL model.FindingsThis study provides empirical evidence that the ARTQUAL instrument is proven to be valid, reliable and appropriate to evaluate the service quality of cultural centers. Based on the real-world managerial analysis, the ARTQUAL model showed a significant practicality in quality evaluation of aesthetic environments.Research limitations/implicationsOne of the most important limitations of quantitative studies, based on aesthetic features, is the cultural preferences. This limitation is due to the nature of cultural preferences and partialities applied in different countries based on the definition of quality involving aesthetic aspects such as age, sex and culture. Meanwhile, the findings of this study can guide the service management experts to better understand and improve customers’ perceptions and orientations of service quality in aesthetic environments.Originality/valueThis paper presents a novel service quality measurement model in order to evaluate the service quality of cultural centers. The originality of the current study is not merely limited to the suggestion of a new quality measurement model, a hybrid statistical validation framework has been provided as well. Therefore, this study provides valuable guidelines to both practitioners and academics to enhance the quality of service measurements in cultural centers.

Service quality measurement model integrating an extended SERVQUAL model and a hybrid decision support system

One of the most effective solutions to sustain an organization in competitive environments is the strategy of continuous improvement. Consequently, the proposed strategy needs a continuous performance evaluation measurements. A solution to evaluate service quality measurements is to rank the service providers. The ranking procedure in similar complex problems or selection problems can be efficiently implemented with the support of multiple attribute decision making (MADM) methods. This study aims at developing a comprehensive decision support system (DSS) based on multiple MADM methods along with an extended quality of service evaluation model to assess the service quality of certain cultural centers. The suggested service quality measurement model in this study is recognized as a valid and reliable tool based on statistical modeling and validation methods. Moreover, the suggested DSS model has been developed based on integration of target-based F-MULTIMOORA and Fuzzy Axiomatic Design (FAD) methods combined with the best-worst method (BWM). Accordingly, a case study was investigated regarding the assessment of seven art galleries in Tehran, Iran. Ultimately, an extensive managerial investigation of the DSS model has been presented based on the real-world examples to show the practicality of the propositions of the current study.

Policy analysis of access to and reimbursement for nonpharmacologic therapies for cancer-related fatigue.

Cancer-related fatigue (CRF) is an important public health issue that involves millions of community-dwelling cancer survivors. CRF is the most debilitating patient reported symptom related to cancer therapies and exacts a significant economic and social toll. It adversely impacts patients' work, social relationships, and overall quality of life. CRF prevalence ranges from 30% to 90% during therapy and often persists months and years afterwards. This policy analysis examines the problem of lack of patient access to evidence-based nonpharmacologic CRF therapies. The authors use a five-step process described by Teitelbaum & Wilenski (2017) to address the problem statement, identify key stakeholders, explore problem landscape, describe two viable policy options, and make a recommendation. The two policy options considered were: (a) insurer reimbursements modeled after existing cardiac rehabilitation programs and (b) health care provider incentives that incorporate the oncology care model (OCM) quality measure. Advantages and disadvantages of both options are presented. Public health nurses are uniquely positioned in their communities to advocate for these changes to improve population health.

Maximum likelihood method for bandwidth selection in kernel conditional density estimate

This paper discusses the kernel estimator of conditional density. A significant problem of kernel smoothing is bandwidth selection. The problem consists in the fact that optimal bandwidth depends on the unknown conditional and marginal density. This is the reason why some data-driven method needs to be applied. In this paper, we suggest a method for bandwidth selection based on a classical maximum likelihood approach. We consider a slight modification of the original method—the maximum likelihood method with one observation being left out. Applied to two types of conditional density estimators—to the Nadaraya–Watson and local linear estimator, the proposed method is compared with other known methods in a simulation study. Our aim is to compare the methods from different points of view, concentrating on the accuracy of the estimated bandwidths, on the final model quality measure, and on the computational time.

Measuring the Quality of Multivariate Statistical Models

Assessing the quality of a statistical model is very important, since it is crucial for the utility of the modelling process’ outcome. There are many different ways of measuring statistical models’ quality. Some of the measures represent a “goodness of fit” approach, some are “prediction ability” orientated. Among them there are absolute and relative measures. It is a researcher’s decision, which model quality measure is the most adequate for the given task. In the paper we present an overview of statistical models’ quality measures and a suggestion of using different ones during the model type selection stage and the stage of assessing the quality of the final model.

A comparison of quality measures for model selection in surrogate-assisted evolutionary algorithm

Choosing a proper approximation model should be the first and the most fundamental problem to be solved when dealing with surrogate-assisted evolutionary algorithms. Till now, most of the model selection methods emphasize on obtaining the best surrogate model basing on model accuracy assessments. As the population ranking is of the most important part in evolutionary optimization, the target function of surrogate model should focus on the right ranking of candidate solutions. Therefore, in this paper, we make a comparison study on several model quality measures which basically dedicated to measuring the capability of surrogate model in selecting and ranking the candidate solutions. In order to investigate the compatibility between accuracy assessments and ranking correlation methods, four algorithms with different model selection strategies based on different quality measures are designed and comparative study is made by contrasting them to three specific surrogate-assisted evolutionary algorithms as well as the standard particle swarm optimization. Simulation results on ten commonly used benchmark problems and one engineering case demonstrate the efficacy of the designed model selection strategies and meanwhile provide further insight into the three model quality measures studied in this paper in model selection.

RFSA: An R Package for Finding Best Subsets and Interactions.

Herein we present the R package rFSA, which implements an algorithm for improved variable selection. The algorithm searches a data space for models of a user-specified form that are statistically optimal under a measure of model quality. Many iterations afford a set of feasible solutions (or candidate models) that the researcher can evaluate for relevance to his or her questions of interest. The algorithm can be used to formulate new or to improve upon existing models in bioinformatics, health care, and myriad other fields in which the volume of available data has outstripped researchers' practical and computational ability to explore larger subsets or higher-order interaction terms. The package accommodates linear and generalized linear models, as well as a variety of criterion functions such as Allen's PRESS and AIC. New modeling strategies and criterion functions can be adapted easily to work with rFSA.

ЭКОНОМИКО-МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ИНСТИТУЦИОНАЛЬНОГО ОПЦИОНА КАК НОВЫЙ ПОДХОД К ОЦЕНКЕ КАЧЕСТВА ИНСТИТУТОВ

The paper presents an original economic-mathematical model formalizing the institutional option concept as a compromise between two contradictory principles of institutional research: social determinism and methodological individualism. The model is based on the problem-oriented research paradigm, implemented by matrix methods of linear algebra, takes into account the behavior of actors de jure and de facto. This allows formal and informal institutions to be included in the analysis and for their quality to be assessed. The model's quality measure is the gap degree between de jure and de facto institutional option of the problem "field" of institutional environment particular carrier. The model's practical value lies in expanding and deepening of the institutional research subject and improving the quality of evaluations in general. The institutional option model is empirically realizable, its application makes it possible to assess the quality of both individual institutions and their combinations and the institutional environment as a whole, as well as to compare different institutional options in terms of content and breadth over time. The model's advantages are useful in identifying the institutional lock-in effect of different nature and different institutional environment carriers

A Review on the Existing Service Quality Measurement Models

The purpose of this review is to assess the existing service quality measurement models. A review of the literature was conducted utilizing keywords such as “definitions of quality”, “meaning of quality”, “service quality and features of service quality”, “measurement models”, specifically, “Gronroo’s”, “SERVQUAL”, and “SERVPERF”. These studies are selected from well-known databases – such as “Emerald”, “ABI/Inform”, “ScienceDirect”, and “EBSCOhost”. As yet, no consensus has been reached among scholars on the definition, indicators and factors of the quality of the healthcare services. Moreover, most of the current models are of Western origin and incongruent with the cultural and economic contexts of developing countries. From the review it is clear that none of the models are currently perfect in diverse cultures and no reliable generic model has yet been developed for measuring the quality of service. Generic models have failed to capture the real dynamism of the pragmatic environment, and can therefore be of limited practical use. Existing service-quality models have widely been criticised for the number and composition of the dimensions. All these models comprise of pre-defined dimensions that are non-specific to all service organisations. This is therefore advising organisations to develop their own models for measuring the quality of their services.

학자금 대출이 대학생의 삶의 질에 미치는 영향(The Effects of Student Loan on Quality of College Life)

Korean Abstract: 본 연구는 한국교육고용패널조사(KEEP) 11차년도(2014) 데이터를 활용하여 대학생의 삶의 질에 대한 학자금 대출의 영향을 분석하였다. 삶의 질은 주관적 접근방법을 토대로 개인이 느끼는 만족도로 정의하였으며, Pukeliene et al(2011)의 ‘삶의 질 측정 모델(the Model for measurement of Quality of Life)’을 토대로 전반적인 삶의 질과 하위 영역별 삶의 질(신체적․물질적․개인발전․사회적 웰빙)을 구분하여 측정하였다. t-test 분석 결과, 학자금 대출자가 비대출자에 비해 전반적인 삶의 질(만족도)이 낮았고, 세부적으로 물질적 웰빙의 구성요소인 재정만족도, 사회적 웰빙의 구성요소인 가정생활만족도에서도 유의한 차이가 있었다. 과연 이러한 차이가 학자금 대출 때문인가를 확인하기 위해 하위 영역별 삶의 질을 통제하여 OLS를 통해 전반적 삶의 질(만족도)에 미치는 영향을 살펴본 결과, 학자금 대출이 전반적인 삶의 질에 유의한 양( )의 영향을 미침이 확인되었다. 이는 t-test 결과와 상반되는 것으로, 기타 변수를 통제했기 때문으로 보이며 일반적인 채무에 대한 인식과 달리 학자금 대출이 대학생에게 긍정적인 요소로 작용함을 알 수 있다. 하위 영역별 삶의 질과 전반적인 삶의 질의 관계를 분석한 결과, 신체적 웰빙의 하위 요소인 건강과 개인안전, 물질적 웰빙의 요소인 가계재무, 개인 발전 웰빙인 미래에 대한 긍정적 전망, 사회적 웰빙의 요소인 가정생활, 친목․여가 커뮤니티 참여도가 전반적 삶의 질에 유의한 영향을 미치는 것으로 나타났다. 가계소득수준에 따라 학자금 대출이 삶의 질에 다른 영향을 미칠 것으로 예상하여 소득이 낮은 집단과 높은 집단으로 나누어 학자금 대출의 삶의 질에 대한 영향을 분석한 결과, 소득수준이 높은 집단에서는 학자금 대출여부가 전체 분석결과와 동일하게 전반적 삶의 질에 양( )의 영향을 미치는 것으로 나타났으나, 소득수준이 낮은 집단에서는 통계적으로 유의하지는 않았고, 그 값도 음(-)으로 바뀜을 확인할 수 있었다. English Abstract: This study analyzed how student loan affect the quality of college life using 11th year(2014) data from Korean Education & Employment Panel. The quality of life is defined as personal satisfaction measured by subjective well-being approach and is divided into the quality of overall life and the quality of subareal lives including physical, material, personal achievement and social wellbeing areas. The results of analysis showed that students with student loan debt have lower quality of overall life (satisfaction level) than those with no student loan debt. Also, there was a significant gap between them in terms of household financial satisfaction that stands for material wellbeing and satisfaction family life that stands for social wellbeing. In order to verify whether this gap is created by student loan, controlling the quality of subareal lives, this study examined whether student loan affects the quality of overall life. According to the results, student loan have a significant effect to the quality of overall life. And health satisfaction and personal safety satisfaction that stand for physical wellbeing, household financial satisfaction that stands for material wellbeing, optimistic about the future that stands for personal achievement wellbeing, and leisure community participation and family life satisfaction that stand for social wellbeing have significant effect on the quality of overall life. In addition, depending on the expectation that student loan have different effect according to income level, this study divides students into two groups by their income level. Then, in the same manner as above, each group was analyzed by OLS method. As a results, student loan have significantly plus( ) effect on the quality of overall life in the group with high income level, but don’t have significant effect in the group with low income level. And coefficient between student loan and quality of overall life is changed to minus(-).

Ef ects of O2O Commerce Service Quality on Customer Satisfaction and Repurchase Intention in Korea and Japan

본 논문은 최근 더욱 각광받고 있는 O2O커머스 시장을 배경으로 하여 한국과 일본의 O2O커머스 서비스 품질과 소비자만족도 및 재구매의도를 실증적으로 비교 분석하는 것에 연구 목적을 두고 있다. 이에 SERVQUAL모형을 기반으로 서비스품질측정을 위한 연구모형을 설계하고 구조방정식 모델링분석 방법을 적용하였으며, 실증분석에는 SPSS 24 통계패키지와 AMOS 24 프로그램이 활용되었다. 연구결과에 의하면 양 국가에서 O2O커머스의 온라인, 오프라인 서비스품질은 모두 만족도에 유의하게 영향을 미치는 것으로 나타났으며, 국가 변수의 조절효과는 나타나지 않는 것으로 파악되었다. 이는 세계 수준의 온라인 시장을 구축한 양국의 유사한 O2O커머스 환경에서 비롯된 것으로 설명된다.This study focused on the background of the O2O commerce market which is getting more popular. At this perspective, the purpose of this study is to analyze and compare the O2O commerce service quality of Korea and Japan. Based on the SERVQUAL model, a research model for service quality measurement was designed and a structural equation modeling analysis method was applied. The SPSS 24 statistical package and the AMOS 24 program were used for empirical analysis. According to the results of the study, both online and offline service quality of O2O commerce in both countries have a significant effect on customer satisfaction and the moderate effect of national variables was not found. This can be explained by the similar O2O commerce environment of the two countries that have been built the world-class online market.

A SERVQUAL approach to identifying the influences of service quality on leasing market segment in the German financial sector

PurposeThe purpose of this paper is to determine the nature of the relationship between service quality and desired customer behaviours in the leasing market using an appropriate service quality measurement model. The authors take a step further by recognising the possible differences in influence of service quality in private and corporate customers, and those business dealings with low, medium and high lease values.Design/methodology/approachThe authors use deduction method to test the SERVQUAL in the German leasing market and the relationship between customer satisfaction and desired behavioural outcomes. The developed questionnaire is based on the 22-item scale of the SERVQUAL approach. Samples are selected based on convenience sampling.FindingsThe authors found differences in the levels of influence by SERVQUAL dimensions on corporate and private customers as well as among those customers with different leasing contract values. From the regression analyses, it is clear that “assurance” from the leasing company is the most common SERVQUAL dimension that has significant impact on overall service quality perceptions and obtaining customers satisfaction and loyalty (behavioural outcomes).Originality/valueThe authors recognised that all financial services are not created equally to meet customer demands. Hence, the customer expectations of service quality from these services will be different. The authors contributed to the marketing literature by studying customer perceptions of service quality by specifying financing aspects of financial services, i.e. leasing. The authors further contributed to the literature of SERVQUAL model in financial services by dividing customers into two different types of customers and those with diverse leasing contract values. The authors found that priorities given on service quality dimensions by them are different. These concepts were never considered in the literature. This also implies that future studies on financial services marketing need to recognise such differences in the research.

Evidence-Based Best Practices for Outpatient Management of Warfarin

Many best practices have been described for organizing a clinic to manage warfarin. Although these practices may have face validity, they may not be based on empirical analysis. Here, we describe our decade-long effort to apply the Structure-Process-Outcome model of quality measurement as a basis for measuring and improving outpatient warfarin management in the Veterans Health Administration. The purpose of the article is to raise awareness of this body of work with pharmacists who could potentially incorporate the findings of this work into their own practice settings. We conclude with concrete suggestions for immediate implementation in clinical settings.

Numerical Simulations of Water Quality Measurement Model in an Opened-Closed Reservoir with Contaminant Removal Mechanism

The mathematical simulation of water contaminant measurement is often used to assess the water quality. The monitoring point placement for water quality measurement in an opened-closed reservoir can give accurate or inaccurate assessment. In this research, the mathematical model of the approximated water quality in an opened-closed reservoir with removal mechanism system is proposed. The water quality model consists of the hydrodynamic model and the dispersion model. The hydrodynamic model is used to describe the water current in the opened-closed reservoir. The transient advection-diffusion equation with removal mechanism provides the water pollutant concentration. The water velocity from the hydrodynamic model is plugged into the dispersion model. The finite difference techniques are used to approximate the solution of the water quality model. The proposed numerical simulations give a suitable area of zonal removal mechanism placement. The proposed simulations also give the overall and specified approximated water quality for each point and time when the exit gate is opened on the different periods of time. In addition, the proposed techniques can give a suitable period of time to open the exit gate to achieve a good agreement water quality by using contaminant removal mechanism.

A unified measure of respondent privacy and model efficiency in quantitative RRT models

Model efficiency and respondent privacy are two important considerations while comparing two randomized response technique (RRT) models. Either the model efficiency level is kept fixed and the model offering greater privacy is preferred, or the privacy level is kept fixed and we prefer the model with better efficiency. In our current work, we propose a unified measure of model quality for a quantitative RRT model and compare several competing models with respect to this measure.

Quality and Reliability Parameters of Predictive Models in Hydrometeorology

This paper discusses the main properties of models and model assessments forming the notion of their quality, which include the accuracy, reliability and details of the description of approximate model assessments. On the basis of taking into account the entire set of quantitative parameters of these characteristics, the notion of the measure of model quality is introduced. The main property determining the model quality is highlighted, namely the accuracy of model calculation using independent data. Approximate estimations of the values of a variable in the interval and probabilistic form are considered, which can be constructed on the basis of data on its values in the past. For probabilistic assessments of the values of the variables, it is suggested that, in addition to the measure of accuracy, the measure of informativity should be used, which is determined in terms of entropies of the corresponding probability distribution functions. In developing the algorithms for assessing the measure of quality, special attention is paid to calculating the parameters characterizing the reliability of approximate model assessments and the models themselves. The reliability is assessed in terms of the probabilities of the events occurring when the model is constructed or used. The measure of probability of the model of dependence determined at the stage of constructing it by using the learning sample is calculated as the product of two probabilities: the measure of confidence to the predictors of a dependent variable, and the measure of confidence to the operator describing a dependence of this variable on them. Recommendations are made for assessing these probabilities. In view of the stricter requirements for the reliability of predictive assessments, the algorithm is suggested for increasing it by combining into an ensemble the conditional model and unconditional probability assessments.

Service Quality Measurement Models: a Comparison of Two Modelsea

Purpose of this paper – This study aims to contribute to the debate in service marketing literature concerning the operationalisation of service quality measurement. To this effect, we tested two service quality measurement models by adapting them to the audit service context. These models are the gap model (SERVQUAL) developed by Parasuraman, Berry, and Zeithaml (1985) and the performance-only (SERVPERF) model developed by Cronin and Taylor (1992). Design/methodology/approach – The models are quantitatively analysed and evaluated for construct validity and predictive power using OLS models. In line with marketing literature (Gronroos 1984), service quality dimensions are classified into technical and functional dimensions. Construct validity is measured in terms of whether the technical and functional dimensions of audit service quality are significantly positively correlated with an overall measure of service quality in the audit service market. Predictive power is measured in terms of the strength of adjusted R2. Findings – The results indicate that both the performance-only model and the gap model have done quite well in predicting determinants of overall audit quality. The argument by Cronin and Taylor (1992) that the gap model has low explanatory power compared to the performance-only model did not materialise in our study. Research limitations/implications – Our results are limited by the low response rate that did not allow us to conduct factor analysis on all the functional and technical variables at the same time. What is original/value of paper – The paper shows that the service marketing models for the measurement of quality would be improved when core outcome (technical) variables are incorporated.

Methods for estimation of model accuracy in CASP12.

Methods to reliably estimate the quality of 3D models of proteins are essential drivers for the wide adoption and serious acceptance of protein structure predictions by life scientists. In this article, the most successful groups in CASP12 describe their latest methods for estimates of model accuracy (EMA). We show that pure single model accuracy estimation methods have shown clear progress since CASP11; the 3 top methods (MESHI, ProQ3, SVMQA) all perform better than the top method of CASP11 (ProQ2). Although the pure single model accuracy estimation methods outperform quasi-single (ModFOLD6 variations) and consensus methods (Pcons, ModFOLDclust2, Pcomb-domain, and Wallner) in model selection, they are still not as good as those methods in absolute model quality estimation and predictions of local quality. Finally, we show that when using contact-based model quality measures (CAD, lDDT) the single model quality methods perform relatively better.

A method for assessing soundscape in urban parks based on the service quality measurement models

The importance of the quality of the soundscape to the total environment of urban parks has been widely realized. With the purpose of exploring more efficient and effective approaches for the evaluation and analysis of the soundscape quality of urban parks, the quality assessment theories and methods that used in the areas of quality management and service industry are adopted in this study. A quality evaluation method for the soundscape is then proposed based on two well-known service quality measurement (SQM) models, Importance-Satisfaction (I-S) model and Improvement index (Ii) model. By simultaneously assessing both importance and satisfaction of soundscape elements in urban parks, this method can provide detailed and comprehensive information that can be used for guiding the soundscape design and improvement of urban parks. Finally, the proposed method is applied to a case study in Hong Kong. Based on the analysis of the data collected by questionnaire survey in this case study, the practicality and effectiveness of the proposed method is demonstrated, and a practical decision-making strategy for soundscape quality improvement of urban parks is summarized. According to the authors’ best knowledge, this study is the first attempt to apply the SQM method of combining I-S model and Ii model to the soundscape study of urban park. The ideas and findings not only benefit the practical soundscape management, but also provide a valuable reference for the academic research of soundscape.