Big Data Enables Labor Market Intelligence

Abstract This article presents a visual method for representing the complex labor market internal structure from the perspective of similar occupations based on shared skills; and a prototype tool for interacting with the visualization, together with an extended description of graph construction and the necessary data processing for linking multiple heterogeneous data sources. Since the labor market is not an isolated phenomenon and is constantly impacted by external trends and interventions, the presented method is designed to enable adding extra layers of external information. For instance, what is the impact of a megatrend or an intervention on the labor market? Which parts of the labor market are the most vulnerable to an approaching megatrend or planned intervention? A case study analyzing the labor market together with the megatrend of job automation and computerization is presented. The source code of the prototype is released as open source for repeatability.

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Tracking the Labor Market with "Big Data"

FEDS Notes ◽

10.17016/2380-7172.2441 ◽

2019 ◽

Vol 2019 (2441) ◽

pp. 1-4 ◽

Cited By ~ 1

Author(s):

Tomaz Cajner ◽

◽

Leland Crane ◽

Ryan Decker ◽

Adrian Hamins-Puertolas ◽

...

Keyword(s):

Big Data ◽

Labor Market

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Basic Approaches to Personnel Management

Management of the personnel and intellectual resources in Russia ◽

10.12737/article_5cb71038eb2f60.91578193 ◽

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.

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Big Data Analytics for Market Intelligence

10.1201/9781003175711-5 ◽

2021 ◽

pp. 69-86

Author(s):

Rashid Farooqi ◽

Anushka Tiwari ◽

Sana Siddiqui ◽

Neeraj Kumar ◽

Naiyar Iqbal

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Market Intelligence

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The Opportunities of Big Data Analytics in Supply Market Intelligence

Collaboration in a Data-Rich World - IFIP Advances in Information and Communication Technology ◽

10.1007/978-3-319-65151-4_19 ◽

2017 ◽

pp. 194-205 ◽

Cited By ~ 3

Author(s):

Salla Paajanen ◽

Katri Valkokari ◽

Anna Aminoff

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Market Intelligence

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

Management of the personnel and intellectual resources in Russia ◽

10.12737/article_5c515b66dcea14.97430069 ◽

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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