Стратегии позиционирования частных ЛПУ на рынке медицинских услуг
In recent years Russia has witnessed rapid growth of the service sector. This trend is also obvious in the hospitality industry which is characterized by quantitative growth as well as by significant changes in strategic behaviour of market actors Such development is largely due to the recent entrance of international hotel chains, with their extensive experience in marketing However, even the most well-known international hotel operators face a number of problems in implementation their strategy due to the peculiarities of the Russian institutional environment. In the article the main trends in the Russian hospitality industry are examined, marketing strategies of international hotel chains and main challenges facing hotel chains in Russia are described.
The paper discusses factors impacting new medical technologies adoption in private hospitals of Saint Petersburg. I use interviews with hospitals' owners and top managers to study decision-making process of new medical technologies adoption. I outline common problems, associated with managing the introduction of new medical technologies in private sector, including: administrative barriers, medical staff, old technical requirements, price competition with public hospitals and strategic drawbacks in private healthcare policy.
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.