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dc.contributor.authorOgbeibu, Samuel
dc.contributor.authorEmelifeonwu, Jude
dc.contributor.authorPereira, Vijay
dc.contributor.authorOseghale, Raphael
dc.contributor.authorGaskin, James
dc.contributor.authorSivarajah, Uthayasankar
dc.contributor.authorGunasekaran, Angappa
dc.date.accessioned2023-07-03T13:30:04Z
dc.date.available2023-07-03T13:30:04Z
dc.date.issued2023-06-27
dc.identifier.citationOgbeibu , S , Emelifeonwu , J , Pereira , V , Oseghale , R , Gaskin , J , Sivarajah , U & Gunasekaran , A 2023 , ' Demystifying the roles of organisational smart technology, artificial intelligence, robotics and algorithms capability: A strategy for green human resource management and environmental sustainability ' , Business Strategy and the Environment , pp. 1-20 . https://doi.org/10.1002/bse.3495
dc.identifier.issn0964-4733
dc.identifier.otherJisc: 1173906
dc.identifier.otherJisc: 1173906
dc.identifier.otherpublisher-id: bse3495
dc.identifier.otherORCID: /0000-0001-6557-9488/work/138281121
dc.identifier.urihttp://hdl.handle.net/2299/26463
dc.description© 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/
dc.description.abstractWith 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.en
dc.format.extent20
dc.format.extent3251445
dc.language.isoeng
dc.relation.ispartofBusiness Strategy and the Environment
dc.subjectrobotics and algorithm
dc.subjectsmart technology
dc.subjectartificial intelligence
dc.subjectenvironmental sustainability
dc.subjectorganisation STARA capability
dc.subjectgreen human
dc.subjectGeography, Planning and Development
dc.subjectBusiness and International Management
dc.subjectManagement, Monitoring, Policy and Law
dc.subjectStrategy and Management
dc.titleDemystifying the roles of organisational smart technology, artificial intelligence, robotics and algorithms capability: A strategy for green human resource management and environmental sustainabilityen
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionUniversity of Hertfordshire
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85163653067&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1002/bse.3495
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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