Using Big Data to test labor market stability vs dynamism: what career path leads to better outcomes

2021 ◽  
Vol 2021 (1) ◽  
pp. 14777
Author(s):  
Yehuda Baruch ◽  
David S. A. Guttormsen ◽  
Stanley Gyoshev ◽  
Trifon Pavkov ◽  
Miana Plesca
Keyword(s):  
Big Data ◽  
Labor Market ◽  
Career Path ◽  
Market Stability

scholarly journals The Role of Family and Friends in Return Migration and Its Labor Market Outcomes

2021 ◽  
Author(s):  
Brian Joseph Gillespie ◽  
Clara H. Mulder ◽  
Christiane von Reichert
Keyword(s):  
Labor Market ◽  
Survey Data ◽  
Significant Relationship ◽  
Return Migration ◽  
Labor Market Outcomes ◽  
Age Groups ◽  
Market Outcomes ◽  
Market Stability ◽  
Onward Migration

AbstractDrawing on survey data on individuals’ motives for migration in Sweden (N = 2172), we examine the importance of family and friends for return versus onward migration, including their importance for different age groups and in different communities on the rural–urban spectrum. The results point to a significant relationship between the importance of family and return versus onward migration, with family importance decreasing with age among returning migrants. At the same time, the importance of friends for returning increases with age. The findings did not suggest a significant relationship between urbanicity and returning versus migration elsewhere. Based on a subset of respondents who were employed prior to migrating (n = 1056), we further examined labor market outcomes for onward versus returning migrants. The results broadly indicate that return migrations are linked to lower likelihoods of labor market deterioration and improvement, suggesting greater labor market stability for return vis-à-vis onward migrations. However, the importance of family for returning (versus moving elsewhere) is associated with higher likelihoods of labor market deterioration and improvement compared with staying the same, indicating greater volatility in labor market outcomes when the importance of family is considered.

Strategic Redundancy in the Use of Big Data: Evidence from a Two-Sided Labor Market

2019 ◽  
Vol 4 (4) ◽  
pp. 298-322 ◽  
Author(s):  
Moshe A. Barach ◽  
Aseem Kaul ◽  
Ming D. Leung ◽  
Sibo Lu
Keyword(s):  
Big Data ◽  
Labor Market

Labor Economists Get Their Microscope: Big Data and Labor Market Analysis

Big Data ◽  
2015 ◽  
Vol 3 (3) ◽  
pp. 130-137 ◽  
Author(s):  
John J. Horton ◽  
Prasanna Tambe
Keyword(s):  
Big Data ◽  
Labor Market ◽  
Market Analysis

scholarly journals Big Data and Energy Security: Impacts on Private Companies, National Economies and Societies

2021 ◽  
Author(s):  
Hossein Hassani ◽  
Nadejda Komendantova ◽  
Daniel Kroos ◽  
Stephan Unger ◽  
Mohammad Reza Yeganegi
Keyword(s):  
Big Data ◽  
Energy Security ◽  
Energy Markets ◽  
Reliable Data ◽  
Environmental Data ◽  
Data Set ◽  
Private Companies ◽  
Market Stability ◽  
National Economies ◽  
Big Data Technology

Abstract The importance of energy security for successful functioning of private companies, national economies, and the overall society should not be underestimated. Energy is a critical infrastructure for any modern society, and its reliable functioning is essential for all economic sectors and for the well-being of everybody. Uncertainty in terms of the availability of information, reliable data to make predictions and to plan for investment as well as for other actions of stakeholders at the energy markets is one of the factors, which has the highest influence on energy security. This uncertainty can be connected with many factors such as the availability of reliable data or the actions of stakeholders themselves. For example, the recent outbreak of the COVID-19 pandemic revealed negative impacts of uncertainty on decision-making processes and markets. At the time point when the market participants started to receive real-time information about the situation, the energy markets began to ease. This is one scenario where Big Data can be used to amplify information to various stakeholders to prevent panic and to ensure market stability and security of supply. In a fast-paced digital world characterized by technological advances, the use of Big Data technology provides a unique niche point to close this gap in information disparity by levering the use of unconventional data sources to integrate technologies, stakeholders, and markets to promote energy security and market stability. The potential of Big Data technology is yet to be fully utilized. Big Data can handle large data set characterized by volume, variety, velocity, value, and complexity. The challenge for energy markets is to leverage this technology to mine available socioeconomic, political, geographic, and environmental data responsibly as well as to provide indicators that predict future global supply and demand. This information is crucial for energy security and ensuring global economic prosperity.

Bridging Troubled Times

2021 ◽  
Author(s):  
Irina Nalis ◽  
Bettina Kubicek ◽  
Christian Korunka
Keyword(s):  
Labor Market ◽  
Conceptual Model ◽  
Economic Crisis ◽  
Learning Process ◽  
Career Path ◽  
Career Adaptability ◽  
Working Population ◽  
Demographic Differences ◽  
Unemployment Rates ◽  
High Unemployment

Abstract. The current labor market has produced manifold crises with high unemployment rates and increasing worklife dynamics. Adaptability and identity are metaskills that enable the learning process necessary to overcome obstacles on the career path. The contribution of this review lies in its focus on the question of whether the metaskills of career adaptability and identity can serve to bridge troubled times for everyone in the working population. This review provides a conceptual model of a “decent career” that acknowledges challenging circumstances based on demographic differences (e. g., age, ethnicity, sex) or structural conditions (e. g., economic crisis) and the antecedents necessary to foster individual skills that serve various beneficial outcomes.

Tracking the Labor Market with "Big Data"

FEDS Notes ◽  
2019 ◽  
Vol 2019 (2441) ◽  
pp. 1-4 ◽  
Author(s):  
Tomaz Cajner ◽  
◽  
Leland Crane ◽  
Ryan Decker ◽  
Adrian Hamins-Puertolas ◽  
...  
Keyword(s):  
Big Data ◽  
Labor Market

Basic Approaches to Personnel Management

2019 ◽  
Vol 8 (2) ◽  
pp. 67-70
Author(s):  
А. Симакина ◽  
A. Simakina ◽  
Р. Ашурбеков ◽  
R. Ashurbekov
Keyword(s):  
Big Data ◽  
Labor Market ◽  
Structural Changes ◽  
Labor Relations ◽  
Digital Technologies ◽  
Digital Inequality ◽  
Ethical Problems ◽  
Proactive Approach ◽  
Basic Approaches ◽  
Generalization Of Data

The article based on the generalization of data from foreign and domestic studies highlighted social and ethical problems and risks caused by the introduction of digital technologies and their manifestations in the field of human resource management. The main problems are the following: structural changes in the labor market and the attendant risks of reducing the level of professionalism and the educational system; “Digital inequality”, the emergence of new types of discrimination, including when working with big data and making decisions based on a proactive approach, and their impact on the growth of social inequality and social tension; changing confidentiality in professional and private spheres; problems associated with the development of the practice of monitoring and monitoring the effectiveness of personnel activities, incl. their impact on labor relations; responsibility issues and ethical boundaries of autonomous and intelligent technologies.

scholarly journals Big Data and Energy Security: Impacts on Private Companies, National Economies and Societies

IoT ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 29-59
Author(s):  
Hossein Hassani ◽  
Nadejda Komendantova ◽  
Daniel Kroos ◽  
Stephan Unger ◽  
Mohammad Reza Yeganegi
Keyword(s):  
Big Data ◽  
Energy Security ◽  
Well Being ◽  
Energy Markets ◽  
Reliable Data ◽  
Environmental Data ◽  
Private Companies ◽  
Market Stability ◽  
National Economies ◽  
Big Data Technology

The importance of energy security for the successful functioning of private companies, national economies, and the overall society cannot be underestimated. Energy is a critical infrastructure for any modern society, and its reliable functioning is essential for all economic sectors and for the well-being of everybody. Uncertainty in terms of the availability of information, namely reliable data to make predictions and to plan for investment as well as for other actions of stakeholders in the energy markets is one of the factors with the highest influence on energy security. This uncertainty can be connected with many factors, such as the availability of reliable data or actions of stakeholders themselves. For example, the recent outbreak of the COVID-19 pandemic revealed negative impacts of uncertainty on decision-making processes and markets. At the time point when the market participants started to receive real-time information about the situation, the energy markets began to ease. This is one scenario where Big Data can be used to amplify information to various stakeholders to prevent panic and to ensure market stability and security of supply. Considering the novelty of this topic, our methodology is based on the meta-analysis of existing studies in the area of impacts of energy security on private companies, the national economy, and society. The results show that, in a fast-paced digital world characterized by technological advances, the use of Big Data technology provides a unique niche point to close this gap in information disparity by levering the use of unconventional data sources to integrate technologies, stakeholders, and markets to promote energy security and market stability. The potential of Big Data technology is yet to be fully utilized. Big Data can handle large data sets characterized by volume, variety, velocity, value, and complexity. Our conclusion is that the challenge for energy markets is to leverage this technology to mine available socioeconomic, political, geographic, and environmental data responsibly and to provide indicators that predict future global supply and demand. This information is crucial for energy security and ensuring global economic prosperity.

The Flip Side of the Coin: The Social and Ethical Problems of Introducing Digital Technologies

2019 ◽  
Vol 8 (1) ◽  
pp. 61-67
Author(s):  
В. Коновалова ◽  
Valyeriya Konovalova
Keyword(s):  
Big Data ◽  
Labor Market ◽  
Structural Changes ◽  
Labor Relations ◽  
Digital Technologies ◽  
Digital Inequality ◽  
Ethical Problems ◽  
Proactive Approach ◽  
The Social ◽  
Generalization Of Data

The article based on the generalization of data from foreign and domestic studies highlighted social and ethical problems and risks caused by the introduction of digital technologies and their manifestations in the field of human resource management. The main problems are the following: structural changes in the labor market and the attendant risks of reducing the level of professionalism and the educational system; “Digital inequality”, the emergence of new types of discrimination, including when working with big data and making decisions based on a proactive approach, and their impact on the growth of social inequality and social tension; changing confidentiality in professional and private spheres; problems associated with the development of the practice of monitoring and monitoring the effectiveness of personnel activities, incl. their impact on labor relations; responsibility issues and ethical boundaries of autonomous and intelligent technologies.

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