An integrated methodology for green human resource management in construction industry
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Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Today, by increasing public awareness about environmental issues and pressures from governments and other stakeholders, companies have dealt with environmental challenges more than ever. This paper focuses on environmentally sustainable performance using an integrated methodology based on meta-synthesis, Delphi, and structural equation modeling (SEM) techniques which are utilized in diferent phases. In the frst phase, an in-depth review of green human resources management (GHRM) literature is conducted based on the meta-synthesis method, and as a result, 38 codes are extracted. Next, to adapt and customize the codes with the nature of the construction industry, 2 rounds of Delphi method are implemented to extract the expert judgment from a panel of 15 industry professionals, resulting in 21 codes in 7 categories. To validate the developed methodology, a dataset from 33 Iranian construction companies are collected along with 15 factors in 5 categories determined using SEM. The fndings reveal that among 9 main GHRM components extracted from the literature, just 5 components including green recruitment and selection, green performance management, green-reward, green-based employee empowerment, and green training have signifcant and positive relationships with GHRM. Finally, managerial insights, limitations, and future research directions are discussed.
Açıklama
Anahtar Kelimeler
Green Human Resource, Environmental Management, Sustainable Development, Meta-Synthesis, Structural Equation Modeling
Kaynak
Environmental Science Pollution Research International
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
Sayı
Künye
Darvazeh SS, Mooseloo FM, Aeini S, Vandchali HR, Tirkolaee EB. An integrated methodology for green human resource management in construction industry. Environ Sci Pollut Res Int. 2022 May 31. doi: 10.1007/s11356-022-20967-8. Epub ahead of print. PMID: 35641740.
