Issue |
E3S Web of Conf.
Volume 388, 2023
The 4th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2022)
|
|
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Article Number | 03036 | |
Number of page(s) | 8 | |
Section | E-Business Sustainability | |
DOI | https://doi.org/10.1051/e3sconf/202338803036 | |
Published online | 17 May 2023 |
Pro-Environmental Behaviour of Big City Employees in Rasch Model and SEM Outlook: A Preliminary Finding
1 Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia 11480
2 Tourism Department, Faculty of Digital Communication and Hotel & Tourism, Bina Nusantara University, Jakarta, Indonesia 11480
* Corresponding author: herlina01@binus.edu
Human activity significantly contributes to many of the world's current environmental concerns. Pro-environmental behaviors (PEBs) at the workplace can help organizations improve their environmental performance. Therefore, the goal of this study is to provide an explanation for employees' ecologically beneficial conduct in large cities. The three hypotheses of this study were proven significantly. Rasch Model Analysis and structural equation modeling (SEM) with second-order confirmatory factor analysis confirmed all the hypotheses. Eco initiatives significantly influence pro-environmental behavior, and eco-helping influences pro-environmental behavior significantly. The final one, eco-civic involvement, significantly impacts pro-environmental behavior. According to the findings of two statistical approaches used to analyze data, the environmentally friendly behaviors of employees in big cities are still limited to the behavior of good employees within the firm. It implies that pro-environmental behavior among city workers has not yet been motivated by personal initiative. On the other hand, the Rasch Model and SEM analysis results suggest that employees in big cities are environmentally sensitive as part of their organization's good citizenship.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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