The article covers the issues of higher education development in the framework of innovative economy and the role of practice-oriented education technologies in this process. It presents substantial characteristics of successful international practice-oriented models, which potential can be used to solve problems that occur in the national system of education. It is shown that the successful implementation of practice-oriented programs involves the development of various forms of interaction between business and education, including: requirements for the quality of specialists' training, holding of training sessions for students by the employers' representatives¸ integration of professionally-oriented education technologies, creation within universities of innovative forms of professional employment in accordance with the learning profile, formation of professional skills of students through their immersion in professional environment, project integration.To meet labor market needs, programs are to consider the opinion of all stakeholders. In this paper, the authors first identify key stakeholders to be considered in the process of study programs development. Then they argue that online surveys are a preferable method of data collection for this purpose. Secondly, the authors focus on these online surveys being the main object of this research. They outline selection parameters which should be taken into account when planning such surveys by asking questions and giving guidelines based on practices and experiments within the universities. Thirdly, the authors identify some common pitfalls to be avoided when designing such surveys. The described survey's methodology can be accordingly included in the content of study programs in management and pedagogy.
Abstract-The complexity, dynamism and uncertainty of the socioeconomic status of both Russian and global economies generally form a significant number of risks that threaten the effective functioning and development of organizations. Moreover, the urgency of these problems is increasing in the conditions of economic stabilization and the outlook for development, when the degree of certainty and predictability of external factors is increasing, as well as the relative influence of internal organizational factors, among which the most important factors are related to the quality of personnel and the effectiveness of the personnel management system of the organization. Exactly these factors in modern conditions predetermine the success of achieving the strategic goals of the organization, but at the same time determine the emergence of human resources risks, which, in the opinion of experts, is defining the form of risk in the organization. The urgency of this problem has caused the need to develop the presented methodology for managing human resources risks. A distinctive feature of this methodology is the focus on prophylaxis and prevention of human resources risks. The methodology integrates various aspects of human resources risks management: types, levels, the significance, profiles of human resources risks, expected losses from risks, actions of human resources risk management. The methodology includes 5 stages: preparation, analysis, planning, organizing, control.Keywordshuman resources risk, personnel management, the sphere of risk occurrence, risk object, source of risk, damage to risk, methodology of HR risk management.
The article investigates and describes essence of social work with personnel and draws some conclusions based on a new approach to defining social work with personnel, describes scientific and theoretical foundations of the concept of social work with personnel in the organization and its main elements. It focuses on methodological foundations and identifies main elements of the methodological base of social work with personnel, defines its subjects, objects, target, goals and tasks. This study is also devoted to analysis of conformity of social work with personnel within natural laws and examines general and specific principles of social work with personnel, its general functions (ethical, prognostication, preventive, communication) and concrete functions (social security, social aid, social services, social insurance). It classifies methods of social work with personnel based on such indications as direction and forms, objects and subjects of social work. The article also deals with means of social work with personnel and describes its technologies, identifying differences between traditional general technologies (social diagnostics, social examination, social foresight, communication skills, public regulations, skills, social insurance, social adaptation, social counseling, social security), special technologies (used when dealing with workers having very young children or large families, elderly or young workers applying for a job for the first time, disabled workers) and innovation technologies. It also defines essence of management and organization of social work with personnel. The main result of the study is a proposed methodological concept of social work with personnel in the organization representing the content of the given notion.
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A mathematical and computer model of a district heating network fed by two heat sources located at significantly different elevation marks has been developed. The model is based on the electrohydraulic analogy of electric current spread in conductors and liquid pressure spread in pipelines, which are described by the same equations. In particular, the first and second Kirchhoff’s laws used in the calculation of electrical networks are applied to calculate the velocities and pressures in a complex multi-ring pipeline system. In order to maximize the approximation of the computer model to the real hydraulic network (in resistance to the process of heating agent flow), the method of automatic identification of the model is applied. This method is an iterative process of changing the hydraulic resistances in pipelines of the model in such a way that the results obtained from the calculations would have the least differences from the experimental data. The accuracy of identification depending on the number of points with known experimental data is 3 – 5%.
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