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

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

Author(s):  
А. Симакина ◽  
A. Simakina ◽  
Р. Ашурбеков ◽  
R. Ashurbekov

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.


Author(s):  
В. Коновалова ◽  
Valyeriya Konovalova

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.


Author(s):  
Mario Mezzanzanica ◽  
Fabio Mercorio

2021 ◽  
Vol 2021 (1) ◽  
pp. 14777
Author(s):  
Yehuda Baruch ◽  
David S. A. Guttormsen ◽  
Stanley Gyoshev ◽  
Trifon Pavkov ◽  
Miana Plesca

2019 ◽  
Author(s):  
Norihiko Matsuda ◽  
Tutan Ahmed ◽  
Shinsaku Nomura

2019 ◽  
Vol 13 ◽  
pp. 283-287
Author(s):  
Gabriel Wróbel ◽  
Maciej Daniel Wikira

The primary purpose of this paper is to present and provide main advantages and disadvantages of most popular big data platforms as well as their comparison in terms of ease of installation, work, performance and price, in order to find the most suitable solution to work with big sets of data. Nowadays, the data is largely analyzed by scientists not related to IT, so the ease of use and presentation of data is extremely important. The purpose of the assessment was to indicate the best IT tool for analyzing data from the point of view of a young analyst or scientist graduating and entering the labor market.


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