«Мягкие» и «жесткие» исследовательские подходы к изучению, измерению и совершенствованию качества медицинских услуг
The paper discusses "soft" and "hard" approaches to the study, measurement, and improvement of medical services quality, presents the GAP model of medical service quality and its criteria. Drawing on two empirical studies, the author considers the technology and technique of two approaches to measuring services quality - SERVQUAL and SQI - in context of medical services and offers valuable managerial recommendations. Keywords: service quality, criteria of service quality, Gap model of service quality, Nordic school, SERVQUAL method, SQI method.
The purpose of this paper is to discuss the problem of the service quality assessment and its parameters and criteria. The paper includes an analysis of the emotional part of the process of consuming and providing services, the analysis carried out in the context of the Experience Economy through such scientific concepts as "emotional labor" and "emotional intelligence". The article proposes the theoretical model of "sincere service" based on the assumption that both employee and client have a desire for realization of real feelings.
The paper examines the issues of customer satisfaction measurements with charter airline services based on the case of Russian tourists traveling to Spain. The basic approaches to customer satisfaction measurement in service industry were analyzed. The survey of 786 passengers was conducted. The results of the study can be used in service quality control management in airline service industry
In this study, nine methods for measuring indirect importance are compared on the basis of their discriminatory power and stability. To the best knowledge of the authors, the stability of results obtained with different methods is assessed for the first time. The deficiencies of an existing criterion for assessing diagnosticity are pointed out and a modified version suggested. The empirical comparison is based on two real-world datasets from the ecommerce industry. Even though none of the methods appeared to be the best according to both criteria simultaneously, there seem to be grounds for recommending the theoretically sound Shapley value decomposition of R-square if stability and discrimination are about equally important for a decision maker, while negative contributions are undesirable.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.