An Empirical Analysis on the Influence Factors of Industry Flow of Shaanxi Province Science and Technology Human Resources

2014 ◽  
Vol 700 ◽  
pp. 701-704
Author(s):  
Cheng Jun Wang ◽  
Huan Jia

Based on the field survey data,statisticsing and analysising the influence factors of industry flows of science and technology human resources in Shaanxi Province by using multiple linear regression model and Logistic regression model.The results show that: enterprise promotion chance, industry development ability, family factors and change lifestyle these four factors promote or weaken the effect on the flow of talent directly;Age,working ability,professional degree are the constitute factors influencing science and technology talent flow;However, the influence of gender, education, welfare and residential moves is not significant for industry flow of science and technology human resources.

2020 ◽  
Vol 15 (3) ◽  
pp. 356-409
Author(s):  
Elena Zharova ◽  
Elizaveta Agamirova

Introduction. Human resources potential is one of the most important tools for achieving the objectives included in the key programme documents for the development of science and technology in the Russian Federation and the main element in the research and development resources of the state. Human resources potential is fundamentally made up of researchers employed in science and technology, including young researchers. Even though in recent years the government of Russia has been paying a lot of attention to developing mechanisms to attract and support young researchers in the sciences, we are still seeing a decline in their number, including in the number of researchers aged 39 or younger. The article presents the findings of tools for monitoring the financial support available to young researchers, recipients of scholarships and grants from the president of Russia, as well as grants provided by key research foundations. Monitoring Tools. The main monitoring tool is formal logic methods such as classification, analysis, synthesis, deduction, and induction. The monitoring was conducted using the materials published on the official websites of research foundations, the annual reports of said foundations, as well as other information in the public domain. The monitoring covered 42 foundations and 8 federal regulatory acts. The subject of the study was the financial tools for supporting young researchers, specifically the grants and scholarships of the president of the Russian Federation and major research foundations such as the Russian Research Foundation, the Russian Foundation for Basic Research, the Foundation for Assistance to Small Innovative Enterprises, and the Skolkovo Foundation, as well as state-funded programmes aimed at supporting young researchers; the findings of the monitoring are summed up in consolidated tables. Results. The support system for grant recipients spans all age categories of young researchers. Meanwhile, federal programmes offer a broader range of assistance to students, postgraduate students, and young researchers than to candidates and doctors of sciences. The most common types of assistance are grants and scholarships, while prizes are not as common. Regional and industrial foundations for assisting research, development, and innovation only function in some regions of the Russian Federation. Programmes aimed at supporting research activities are offered by regional and industry foundations through their official websites and are widely varied (the most common offerings include competitions, training programmes, organisation of conferences, exhibitions, forums, as well as special prizes and grants). Conclusion. Thus, the article provides information about the existing system of grants aimed at providing support and assistance to young researchers; the article also offers some information about the conditions, amounts, and timeframe for the provision of the scholarships and grants from the President of the Russian Federation; there is also a review of the tools for assisting young researchers in the context of such recipients’ status, as well as the forms and types of assistance (including for young researchers) provided by industry and regional foundations for research, development, and innovation.


2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Sucahyo Heriningsih ◽  
Lita Yulita Fitriyani ◽  
Dwi Sudaryati

This study aims to determine the effect of individual characteristics and motivation on the performance of BUM Desa operational operators in Bantul Regency. This study uses a survey method that is data collected using a questionnaire. Populations in this study were operational operators of BUM Desa in Bantul Regency as many as 82 people, and the selected sample of 54 people. The sampling method uses a convenience sampling method. The collected data is then analyzed using multiple linear regression analysis methods. The results showed that the work experience and motivation affect the performance of BUM Desa, while gender, education and age did not affect the performance of BUM Desa. This shows that education and age do not guarantee a person's ability to carry out their duties and obligations. The results of this study are expected to be considered by the Village Government in preparing Human Resources to manage the BUM Desa. If BUM Desa is managed by the right Human Resources, has qualified capabilities and appropriate qualifications, then BUMDes can run according to the plans that have been made.


2018 ◽  
Vol 1 (2) ◽  
pp. 209-218
Author(s):  
Imran Imran ◽  
Bambang Hendrawan

This research examines the influence of society’s perception about sharia bank toward intends to use sharia bank products. The data collection technique was a field survey that using questionnaire to the sample respondents. Sampling method used is accidental sampling method with 100 selected people by accidently. The data analysis method uses multiple linear regression model. The result of this research indicate that people perception about bank sharia in banking system with interest, profit sharing system characteristics and sharia product knowledge, simultaneously have positive significant effect toward intends to use sharia product. Partially, only perception from knowledge of product variable has no influence toward society intends to Sharia bank products. Its means the better understanding about the no-interest banking system and also about profit sharing system as a basis for sharia bank practices, will increase society’s intends to use sharia products. Meanwhile, there is no effect for society perception whether they have a better or less knowledge of sharia bank products


2022 ◽  
pp. 222-230
Author(s):  
Himani Saini ◽  
Preeti Tarkar

Artificial intelligence is a branch of science and technology that has been used effectively over the decades in various fields, and now it has become an indispensable part of organizational practices as it is one of the leading technologies in the current era, and now there is an emerging trend of applying AI technologies within the businesses. The central necessity of human resource management is also majorly based on technological approaches as it became a potential need for any human resources department to perform its role in the development of the whole organization. Technologies based on AI are and will be the smart system of the future and it's also changing the processes of human resource management by making it more dependent on advanced technologies. Through the chapter, the researcher will get to know the artificial technologies being practiced in HR practices and explore the probable and potential of technicality of AI in HRM and also the challenges associated with AI in HRM and its future possibilities.


2011 ◽  
Vol 117-119 ◽  
pp. 1547-1551
Author(s):  
Xi Li Tan ◽  
Han Zhou ◽  
Ying Song Xu

Real estate price has been one of the hottest discussion topics, especially in recent years, it becomes the focus of attention. In this paper, we aim to study the impact of economic factors on real estate price. By multiple linear regression model and SPSS software, we analyze four economic indicators affecting the real estate price of Jilin city, and make some amendments and testings, the conclusions show the consumption level and housing construction area are important factors affecting the price trend. On this basis, we further to give the corresponding countermeasures and suggestions.


Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 2024
Author(s):  
Rinat Zhanbayev ◽  
Saule Sagintayeva ◽  
Abildina Ainur ◽  
Anton Nazarov

In modern conditions, it is interesting to study foresight as an effective tool for identifying new strategic scientific directions. Its purpose is to develop an algorithm for conducting qualitative expertise in the application of the foresight methods with the ability to integrate forecast estimates. Currently, the vast majority of research activities results do not contribute to the innovative development of the state. To solve this problem, it is necessary to ensure a stable systemic relationship between specific sectors of the economy and higher education. The algorithm is developed on the basis of a systematic approach to the foresight methods and the use of the methods of bibliometrics, scientometrics, patent analysis and forecasting. The results and conclusions of this study are: an algorithm has been developed for conducting qualitative examination of the results of scientific activities in order to increase its practical significance, in which the authors propose the foresight methods as the most optimal tool for choosing priority areas of science and technology. Putting this approach into practice will make it possible to increase the efficiency of the foresight methods by both reducing time costs, and rationally using monetary and human resources.


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