Green talent management and turnover intention: the roles of Leader STARA Competence and Digital Task Interdependence

Ogbeibu, S, Jabbour, C, Burgess, J, Gaskin, J and Renwick, D ORCID logoORCID: https://orcid.org/0000-0001-6819-5746, 2021. Green talent management and turnover intention: the roles of Leader STARA Competence and Digital Task Interdependence. Journal of Intellectual Capital. ISSN 1469-1930

[thumbnail of 1428897_Renwick.pdf]
Preview
Text
1428897_Renwick.pdf - Post-print

Download (872kB) | Preview

Abstract

Congruent with the world-wide call to combat global warming concerns within the context of advancements in smart technology, artificial intelligence, robotics, and algorithms (STARA), and digitalisation, organisational leaders are being pressured to ensure that talented employees are effectively managed (nurtured and retained) to curb the potential risk of staff turnover. By managing such talent(s), organisations may be able to not only retain them, but consequently foster environmental sustainability too. Equally, recent debates encourage the need for teams to work digitally and interdependently on set tasks, and for leaders to cultivate competencies fundamental to STARA, as this may further help reduce staff turnover intention and catalyse green initiatives. However, it is unclear how such turnover intention may be impacted by these actions. We therefore, seek to investigate the predictive roles of Green hard and soft talent management (TM), Leader STARA Competence (LSC) and Digital Task Interdependence (DTI) on turnover intention. We used a cross-sectional data collection technique to obtain 372 usable samples from 49 manufacturing organisations in Nigeria. Findings indicate that green hard and soft TM and LSC positively predict turnover intention. While LSC amplifies the negative influence of green soft TM on turnover intention, LSC and DTI dampen the positive influence of green hard TM on turnover intention. Our study offers novel insights into how emerging concepts like LSC, DTI, and green hard and soft TM simultaneously act to predict turnover intention.

Item Type: Journal article
Publication Title: Journal of Intellectual Capital
Creators: Ogbeibu, S., Jabbour, C., Burgess, J., Gaskin, J. and Renwick, D.
Publisher: Emerald Publishing
Date: 30 April 2021
ISSN: 1469-1930
Identifiers:
Number
Type
10.1108/JIC-01-2021-0016
DOI
1428897
Other
Divisions: Schools > Nottingham Business School
Record created by: Linda Sullivan
Date Added: 08 Apr 2021 08:58
Last Modified: 31 May 2021 15:02
URI: https://irep.ntu.ac.uk/id/eprint/42666

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year