Green organizational climates and employee pro-environmental behaviour in the hotel industry
Piotr Zientara , Anna Zamojska
AbstractThis paper adopts a multilevel approach and uses hierarchical-level modelling, to explore the mechanisms that underlie organizational citizenship behaviour for the environment (OCBE) in four- and five-star hotels in Poland. It contributes both to organizational climate research and the organizational greening literature. More specifically, it examines the direct effects of green organizational climate (GOC) on OCBE, as well as its moderating effects on the relationships between individual factors and OCBE. The results indicate that GOC had a direct impact on OCBE and that it had a significant moderating effect on the relationships between personal environmental values and OCBE, and between affective organizational commitment and OCBE. It also emerged that employee values and commitment were positively related to OCBE, and that employees’ engagement in extra-role green activities was equally explained by individual- and hotel-level factors. However, we found that in most hotels, there were weak GOC, which implies lack of organizational emphasis on green practices. We discuss the theoretical and practical implications of the findings, and make the case for the adoption of the multilevel approach for exploring employee involvement in organizational pro-environmental action. A series of key managerial implications are listed, explained and justified.
|Journal series||Journal of Sustainable Tourism, ISSN 0966-9582, (A 35 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||green organizational climate, organizational citizenship behaviour for the environment, affective organizational commitment, hotel industry, Poland|
|Not used for evaluation||yes|
|Score|| = 35.0, 20-12-2017, ArticleFromJournal|
= 40.0, 20-12-2017, ArticleFromJournal
|Publication indicators||: 2016 = 2.978 (2) - 2016=4.304 (5)|
|Citation count*||14 (2018-11-12)|
|Uwagi:||Online first z 2016 r.|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.