Title: The influence of organisational green climate on employees' green behaviours: evidence from the Eco Port of Kaohsiung

Authors: Hsu-Li Tsai; Chin-Shan Lu; Chih-Ching Chang

Addresses: Department of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan; Department of Air and Sea Logistics and Marketing, Taipei College of Maritime Technology, Taiwan ' Department of Logistics and Maritime Studies, CY Tung International Center for Maritime Studies, The Hong Kong Polytechnic University, Hong Kong ' Department of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan; Taiwan International Ports Corporation (TIPC), Taiwan

Abstract: This research identifies the constructs and measures of organisational green climate and examines its influence on employees' green behaviours. This paper has used survey data collected from 164 respondents who are working at the Eco Port of Kaohsiung in Taiwan. An exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) revealed that there are four green climate dimensions: green port policy, green training, green communication, and green motivation. A structural equation modelling (SEM) was conducted to examine the effects of organisational green climate dimensions on employees' green behaviours. Study findings have indicated that organisational green climate dimensions are positively related to employees' green behaviours. The results have suggested that green motivation has the most important influence on employees' green behaviours, followed by green port policy, green communication and green training. Theoretical and practical implications of the research findings for the development of organisational green climate are discussed.

Keywords: port; organisational green climate; green behaviour; structural equation modelling.

DOI: 10.1504/IJSTL.2017.086938

International Journal of Shipping and Transport Logistics, 2017 Vol.9 No.6, pp.696 - 723

Received: 03 Jan 2016
Accepted: 14 Apr 2016

Published online: 10 Aug 2017 *

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