Full text

Turn on search term navigation

© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Social sustainability must be included into the workplace in order to achieve corporate sustainability. Each indicator of the workplace’s social sustainability must consider employee perspectives. In this study, we estimate Indonesia’s employee preferences gap in workplace social sustainability. The dimensions referred to include views on employee well-being and concerns about safety. Workplace comfort and musculoskeletal health are considered dimensions supported by environmental concerns. This research was conducted on 643 current employees and analyzed based on a workplace social sustainability questionnaire. Through online surveys, we measured employee preferences concerning workplace social sustainability diversity and how they differ by gender, industry sector, age, education level, and types of industry. The findings of this research will encourage the company to reconsider its approach to social sustainability improvement in terms of the contributions made by its employees. The study also suggests research into whether and how differences in gender, industry sector and industry type are shaped due to workplace social sustainability. Gender concerns must be considered to achieve social sustainability in the workplace. It contributes significantly to achieving the 5th Sustainable Development Goals (SDGs).

Details

Title
Do Age and Gender Change the Perception of Workplace Social Sustainability?
Author
Lin, Chiuhsiang Joe 1   VIAFID ORCID Logo  ; Remba Yanuar Efranto 2   VIAFID ORCID Logo 

 Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Keelung Road, Section 4, Da’an District, Taipei 106335, Taiwan; Artificial Intelligence for Operations Management Research Center, National Taiwan University of Science and Technology, Taipei 106335, Taiwan 
 Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Keelung Road, Section 4, Da’an District, Taipei 106335, Taiwan 
First page
5013
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2791740093
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.