Artikel

Predicting the relationship between green transformational leadership, green human resource management practices, and employees' green behavior

Building on theories of Corporate Sustainability, Triple Bottom Line, and Natural Resource-Based View, this study aims to predict the positive relationship between green transformational leadership, green human resource management practices, and employees' green behavior. It applies a quantitative approach to analyze 252 data collected from the customers who are prospective employees of small and medium enterprises in Budapest. An online questionnaire was sent to 252 samples with the Snowball sampling method for about a month in Hungary. Based on a structural equation modeling analysis, green transformational leadership and green human resource management practices positively influence employees' green behavior. Green human resource management practices mediate the relationship between green transformational leadership and employees' green behavior. Small and medium enterprises should consider solving the green behavioral problems of their employees by promoting the green concept in leadership and human resource management practices. Such initiatives contribute to sustainability in small and medium enterprises.

Sprache
Englisch

Erschienen in
Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 13 ; Year: 2023 ; Issue: 1 ; Pages: 1-15

Klassifikation
Öffentliche Verwaltung
Thema
corporate sustainability
employees' green behavior
green human resource management practices
green transformational leadership
natural resource-based view
small and medium enterprises
triple bottom line

Ereignis
Geistige Schöpfung
(wer)
Cahyadi, Afriyadi
Natalisa, Diah
Poór, József
Perizade, Badia
Szabó, Katalin
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2023

DOI
doi:10.3390/admsci13010005
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Cahyadi, Afriyadi
  • Natalisa, Diah
  • Poór, József
  • Perizade, Badia
  • Szabó, Katalin
  • MDPI

Entstanden

  • 2023

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