13 research outputs found
Critical analysis of employee voice forms and process in a UK energy company:a managerial perspective
Towards a learning exchange theory for a dynamic digital future:an ACARD-SR model evidence from South East Asia
Demystifying the roles of organisational smart technology, artificial intelligence, robotics and algorithms capability: A strategy for green human resource management and environmental sustainability
© 2023 The Authors. Business Strategy and The Environment published by ERP Environment and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (CC BY-NC-ND), https://creativecommons.org/licenses/by-nc-nd/4.0/With growing climate change concerns, and constant advancements in smart technology, artificial intelligence, robotics, and algorithms (STARA), organisations in emerging economies are becoming more compelled to go green, develop and deploy their STARA capability to boost profits more effectively, and their environmental sustainability (ES). Likewise, with governments increasingly calling for ES, organisations' human resource management (HRM) is further pressured to ensure their programmes aid realisation of environmental objectives without compromising profit maximisation. However, it remains unclear how complementary Green HRM (GHRM) programmes can be supported by organisational STARA capability (OSC) to bolster ES. Accordingly, we investigate how OSC and GHRM programmes predict ES through a time lagged survey design with data from 461 managers of 177 manufacturing organisations in Nigeria. Results indicate that OSC positively predicts all GHRM programmes and ES but dampens the positive relationship between green training, involvement and development (GTID), and ES. Apart from green performance and compensation (GPC), which is a negative predictor, other GHRM programmes positively predict ES. While green recruitment and selection (GRS) and GTID are complementary mediators, GPC plays a competitive mediating role. Policy implications are subsequently discussed.Peer reviewe
Technological Turbulence and Greening of Team Creativity, Product Innovation, and Human Resource Management: Implications for Sustainability
Abstract: Given the overwhelming increase in technological advancements and global warming concerns, our study attempts to investigate the predictive powers of green human resource management (GHRM) bundles and green team creativity on green product innovation. Additionally, we examine the roles of technological turbulence and environmental dynamic capability. We have administered a cross-sectional (time lag) survey design with 229 respondents from 31 manufacturing organisations and employed the partial least square path modelling (SmartPLS3) for data analysis. Results indicate that technological turbulence, green recruitment and selection and green training, involvement and development are positive predictors of green team creativity. Green performance and compensation negatively predicts green team creativity. While green team creativity positively predicts green product innovation, environmental dynamic capability negatively predicts green product innovation. Technological turbulence reinforces the positive impact of green recruitment and selection on green team creativity and dampens the positive impact of green training, involvement and development on green team creativity. Furthermore, green team creativity is a complementary and competitive mediator. By simultaneously investigating the predictive powers of technological turbulence, green team creativity and environmental dynamic capability in our study, we offer novel insights that extend traditional HRM conceptualisations to reflect a more environmentally sustainable GHRM framework. Policy implications and future directions are also discussed.</p