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Book part
Publication date: 16 November 2020

Tobias Rex, Sudeshna Bhattacharya, Kanimozhi Narayanan and Pawan Budhwar

Human resource analytics (HRA) is a practice that is emerging within the human resources function. This chapter aims to provide an overview of the knowledge that currently exists…

Abstract

Human resource analytics (HRA) is a practice that is emerging within the human resources function. This chapter aims to provide an overview of the knowledge that currently exists about HRA and to identify facilitators and restraints of using HRA. Based on both emerging trends in the literature and in-depth interviews with key practitioners in the field, the authors deduce recommendations for organisations to effectively employ HRA. The analysis shows that HRA is ready to add value towards organisational effectiveness, although barriers exist in realising its potential for the same. Facilitators of HRA include the right set of competencies, with relationship building identified as especially important.

Details

Human & Technological Resource Management (HTRM): New Insights into Revolution 4.0
Type: Book
ISBN: 978-1-83867-224-9

Keywords

Content available
Book part
Publication date: 16 November 2020

Abstract

Details

Human & Technological Resource Management (HTRM): New Insights into Revolution 4.0
Type: Book
ISBN: 978-1-83867-224-9

Article
Publication date: 25 February 2022

Sudeshna Ghosh

The purpose of this study is to examine how renewable energy consumption moderates the relationship between inequality and carbon dioxide (CO2) emissions for Brazil, Russia…

Abstract

Purpose

The purpose of this study is to examine how renewable energy consumption moderates the relationship between inequality and carbon dioxide (CO2) emissions for Brazil, Russia, India, China and South Africa (BRICS). The nexus between energy use and geopolitical tensions has also been explored.

Design/methodology/approach

This study has used distinctive data sets from 1990 to 2018 to explore the interconnections on emission, energy use, inequality and geopolitics. To do away with the difficulties related to heterogeneity and cross-sectional dependence (CD), this paper uses recent estimation methods that are robust to panel heterogeneity and CD.

Findings

The results of the panel augmented mean group (AMG) estimation and common correlated effects mean group (CCEMG) estimation verify the environmental Kuznets curve. The findings show that a 1% rise in Gini inequality leads to a 0.24% rise in the CO2 emission (AMG) method and a 0.17% rise in emissions CCEMG (method). As far as the moderating impact of renewable energy upon Gini measure of inequality is concerned, it is −0.10 AMG and CCEMG methods of estimation, respectively. However, the moderating impact of renewable energy on the geopolitical index leads to a mitigating impact on CO2 emissions, 0.55% decline in AMG method.

Originality/value

This research makes a distinctive contribution by investigating for the first time to the best of the authors’ knowledge the main pillars of sustainable ecological development in the context of the BRICS nations.

Details

International Journal of Energy Sector Management, vol. 16 no. 6
Type: Research Article
ISSN: 1750-6220

Keywords

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