Evaluation of human resources in science and technology by using dynamic Malmquist index approach and window analysis

2012 ◽  
Vol 6 (14) ◽  
Author(s):  
Ying-Chyi Chou
Keyword(s):  
Human Resources ◽  
Science And Technology ◽  
Malmquist Index ◽  
Window Analysis ◽  
Index Approach

scholarly journals Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

scholarly journals Monitoring the Tools of Financial Support Available to Young Researchers in Russia

2020 ◽  
Vol 15 (3) ◽  
pp. 356-409
Author(s):  
Elena Zharova ◽  
Elizaveta Agamirova
Keyword(s):  
Human Resources ◽  
Russian Federation ◽  
Financial Support ◽  
Science And Technology ◽  
Annual Reports ◽  
Main Element ◽  
Research Development ◽  
Research Activities ◽  
The Russian Federation ◽  
Young Researchers

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.

Artificial Intelligence in Human Resource Practices With Challenges and Future Directions

2022 ◽  
pp. 222-230
Author(s):  
Himani Saini ◽  
Preeti Tarkar
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Human Resources ◽  
Human Resource Management ◽  
Human Resource ◽  
Science And Technology ◽  
Future Directions ◽  
Smart System ◽  
Advanced Technologies ◽  
The Future

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.

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
Keyword(s):  
Human Resources ◽  
Field Survey ◽  
Science And Technology ◽  
Influence Factors ◽  
Multiple Linear Regression Model ◽  
Shaanxi Province ◽  
Gender Education ◽  
Professional Degree ◽  
Residential Moves ◽  
Technology Talent

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.

scholarly journals The Use of the Foresight Methods in Developing an Algorithm for Conducting Qualitative Examination of the Research Activities Results on the Example of the Republic of Kazakhstan

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 2024
Author(s):  
Rinat Zhanbayev ◽  
Saule Sagintayeva ◽  
Abildina Ainur ◽  
Anton Nazarov
Keyword(s):  
Higher Education ◽  
Human Resources ◽  
Systematic Approach ◽  
Science And Technology ◽  
Patent Analysis ◽  
The State ◽  
Practical Significance ◽  
Innovative Development ◽  
Research Activities ◽  
The Republic

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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