User Innovation – Empirical Evidence from Russia
The manual is intended for students of Department of computer engineering MIEM HSE. In the textbook based on the courses "Economics of firm" and "the development strategy of the organization." Discusses the key conceptual and methodological issues of the theory and practice of Economics and development planning of the organization. The use of textbooks will enable students: to analyze key performance indicators, and use the tools of strategic analysis with reference to concrete situations in contemporary Russian and international business. Special attention is paid to the methods and systems of information support of the life support functions of business organizations and management methodology of innovation and investment. An Appendix contains source data for analysis of competition in a particular industry.
Scientists and politicians are absolutely sure that we require a professional approach to solving such problems as generation and diffusion of innovations; that is why many universities nowadays offer new degree programs in this field. The author explains why companies need innovation managers. Also, he propones a method for conducting express assessment of company’s innovation activity which will allow to assess its organization and to define functions and tasks of innovation staff. Some recommendations on innovation staff training are given.
Information Management, Innovation Management and Industrial Engineering are becoming increasingly interesting to both the academic researchers and management practitioners. It is essential to explore enterprise management system from the theoretical viewpoint; it is also absolutely essential to the survival, growth and prosperity of any company to have some means to manage innovation in the process of Economic Globalization and under the Knowledge Economy environment. This conference provides an idea-exchange and discussion platform for the world’s managers and academia, where internationally recognized researches and practitioners share cutting-edge information, address the hottest issue in management, explore new technologies, exchange and build upon ideas.
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.
The goal of the conference is to help build cross-disciplinary networks of analysts, software specialists, and researchers to advance the use of textual information in multiple science, technology, and business development fields. Within this context, conference themes will include, but are not limited to:
DataSourcing, preparing, and interpreting data sources including patents, publications, webscraping, and other novel data sources
Text-mining tools and methodsBest practices in software-based topic modeling, clumping, association rules, term manipulation, text manipulation, etc. Visualization
Applied researchFuture-Oriented Technology Analysis (FTA) Intelligence gathering to support decision-making in the private sector (e.g., Management of Technology)
Academic rewards and honors are proven to correlate with h-index, although it was not the decision criterion for them till recent years. Once h-index becomes the rule-setting scientometric ranking measure in the zero-sum game for academic positions and research resources as suggested by its advocates, the rational behavior of competing academics is expected to converge towards its game- theoretic solution. This paper derives the game-theoretic solution, its evidence in scientometric data and discusses its consequences on the development of science. DBLP database of 07/2017 was used for mining. Additionally, the openly available scientometric datasets are introduced as a good alternative to commercial datasets of comparable size for public research in behavioral sciences.
Training personnel in innovation sphere should be organized based on project method of learning. This method is sure to become key-factor in educational model creation. However usage of this method is connected with wide range of organizational obstacles, which can be overcome by particular scientific approach, based on integrated system of management and realization of pull of projects - the concept of project management office. This approach gives an opportunity to share the experience of commercial structures with educational environment.
Questions of effective investment into innovative development of production are considered. Criteria of an assessment of investment projects are defined.
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.