In the article the experience of creation of interactive programs in the museum Khohlovka is presented. The principles of organization of the programs (universality, all seasons, dynamics, effect on five senses of tourist). Main components of the programs are distinguished: quest on the territory, meetings with heroes, folk games, masterclasses, tea-break. Attention is paid to the difficulties in organization of the programs. Ключевые слова: культурные проекты, музейные проекты, интерактивные программы, принципы организации, компоненты программ. Keywords: cultural projects, museum projects, interactive programs, principle of organization, components of programs.
Consumer ethnocentrism is a special field in marketing literature that emerged from the theoretical and empirical attempts to identify the effects associated with a specific perception of domestic products by consumers. As it was demonstrated in several studies, the patriotic economic behavior of consumers can be observed under certain socio-economic and cultural conditions. This behavior has a positive effect on the assessment of quality, perceived value and willingness to buy domestic products and a negative impact on the consumption of foreign goods. However, understanding the possible marketing effects of consumer ethnocentrism is significantly limited due to the lack of relevant research experience at the regional rather than national level - both in the international and Russian practice. In this paper, a comprehensive analysis of the results of previous studies is conducted in order to provide theoretical support for existence of consumer patriotism at the regional level in Russia. The obtained results can serve a basis for hypotheses development of further empirical research.
This article contains the implementation description of a real estate market offers aggregator service. Advertisement analysis is made with the aid of ontologies. A set of ontologies to describe specific websites can be extended, so the aggregator can be used for many diverse resources.
According to the framework of knowledge economy, production and management of knowledge are key aspects of firm’s activity nowadays. Intellectual capital (IC) is the crucial factor for company survival in the market. Therefore it is vital to realize the way that this capital helps to create firm value. The purpose of this study is to test empirically one aspect of the relationship between intellectual capital components and business performance – the influence of intellectual capital structure on process of firm’s value added creation.
In order to analyze the process of intellectual capital transformation into the company value, the balanced panel data were collected. The sample consists of 64 British firms in 6 industries: retail and wholesale trade, machinery manufacture, chemicals manufacture, transport and telecommunications, oil extraction and producing. The panel includes five years: from 2005 to 2009. In order to obtain comprehensive data of chosen companies we used Amadeus Database (Bureau Van Dijk) as like as information from companies’ websites.
As far as there is no singular method of measuring value added by intellectual capital, we used five the most common methods: EVATM, MVATM, FGVTM, VAICTM, P/B ratio. We also used 14 variables as proxies for intellectual capital components.
The models are estimated with pooled cross-sectional OLS method.
Most strongly influence of the intellectual assets structure is reflected in VAIC and FGV. At the same time, EVA and P/B ratio have weak or not significant relationship with the structure of the intellectual assets portfolio.
It should also be noted that models with human capital proxy in the denominator show a significant positive dependency between a ratio of the intellectual capital components and value added.
Moreover consideration of the industry factor changes the results only slightly.
The present study advances our understanding of how to manage knowledge-related resources and contributes to effective investment management. The results confirm that structure of intellectual assets has quite stable linear effect on the value added created by the company. The effect is observed both in the short and long term period. Consequently, management should consider not only an accumulated volume of intellectual capital, but also the ratio between these components in order to increase company value.
Knowledge management is becoming the most relevant and challenging issue of company’s strategy implementation in the new economy. Intellectual capital identification and evaluation is one of the most important issues in knowledge management. Our study focuses on the evaluating intellectual capital methods that allow finding out the most efficient way of intellectual capital management, including investment decision making. We suppose that the potential effectiveness of intellectual capital resources varies depending on a company size, industry and country. Therefore, to solve problems of intellectual capital evaluation we integrate two approaches that are relevant for studying the companies’ and industries’ behavior.
Value-based management concept regards corporate value growth for all stakeholders as the main company purpose which nowadays is primarily provided by intangible assets. However analysis of the process of converting intellectual capital (IC) and its components into the company financial performance is still a challenging research area. The main aim of the current study is to investigate the intellectual capital transformation into the company value on the basis of available information.
The paper explores a suitability of higher education quality measurement from student's point of view, and analyses results of interviewing of students from engineering specialties in Perm universities. Nonlinear Principal Components Analysis (NLPCA) in interpretation of Gifi system was used as the tool for data processing. It takes into account a dissimilar statistical nature of questionnaire indicators. The method can be very promising for various socio-economic researches.