Utilizing the framework of the theory of planned behavior, a new model has been extracted and validated empirically to explore the role of green human resource management (GHRM) practices in the attainment of the sustainable development goals (SDGs) among textile manufacturing firms. Therefore, this research study is the first attempt to empirically investigate the impact of green skills and employee green attitudes that may proffer a better explanation of the nature of the relationship between GHRM and the SDGs, proposing an inclusive re`search model on the effect of GHRM on the SDGs in the hi-tech manufacturing industry. Questionnaires were distributed to 465 textile firms; however, of those returned, only 197 surveys completed in all respects were used for further empirical investigation. PLS-SEM was used to analyze the data to assess the validity and reliability of the instrument. The outcomes of the study affirmed the theoretical model according to which GHRM has a positive association with employee green attitudes, employee skills, decent work, and sustainable consumption and production behavior. Employee green attitudes and decent work had a positive effect on sustainable consumption and production behavior. It is also beneficial to identify significant moderators to explain the processes and circumstances through which the attitudes of employees are transformed into the desired behaviors. Therefore, individual green values were taken as moderators in the study to assess how they impacted the relationship between GHRM and employee green attitudes, as well as that between employee green attitudes and sustainable consumption and production behavior. The results also revealed that an employee’s green attitude acted as a partial mediator between GHRM and decent work. Moreover, employee green attitudes and employee skills fully mediated between GHRM and sustainable consumption and production behavior.
Digital addiction among China's rural juveniles escalates and hampers the harmony and stability of families and society. This paper investigates digital addiction among rural juveniles in China. Semi-structured interviews selected six relevant respondents in rural Shaanxi Province as samples. The study explores the degree, characteristics, causes, effects, and prevention and control of rural juveniles' digital addiction. The findings reveal the importance of digital literacy education, parent-child cognitive dislocation, and the complexity of rural juveniles' digital addiction. The study has limitations, including its limited research perspective and the need for more typical cases for analysis and discussion. Keywords: Digital addiction; Rural juveniles; Social work; Digital literacy eISSN: 2398-4287 © 2023. The Authors. Published for AMER & cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), and cE-Bs (Centre for Environment-Behaviour Studies), College of Built Environment, Universiti Teknologi MARA, Malaysia DOI:
Digital addiction among China's rural juveniles escalates and hampers the harmony and stability of families and society. This paper investigates digital addiction among rural juveniles in China. Semi-structured interviews selected six relevant respondents in rural Shaanxi Province as samples. The study explores the degree, characteristics, causes, effects, and prevention and control of rural juveniles' digital addiction. The findings reveal the importance of digital literacy education, parent-child cognitive dislocation, and the complexity of rural juveniles' digital addiction. The study has limitations, including its limited research perspective and the need for more typical cases for analysis and discussion. Keywords: Digital addiction; Rural juveniles; Social work; Digital literacy eISSN 2514-7528 ©2023. The Authors. Published for AMER & cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), and cE-Bs (Centre for Environment-Behaviour StudiesCollege of Built Environment, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/jabs.v8i25.428
The subject of this study is the administration of green supply chain management (GSCM), which refers to a strategy aimed at preventing environmental catastrophes by incorporating eco-friendly practices throughout various processes such as product design, manufacturing, operations, waste management, and more. The implementation of GSCM poses numerous interconnected challenges, as highlighted by research in this field. These challenges were taken into account during the development of the ISM (Interpretive Structural Modeling) model, which aims to address these issues. This model can reduce or eliminate waste levels, leading to improved economic and environmental performance within the industry. Among the identified challenges, two significant hurdles stand out: the need for knowledge about reverse logistics and the requirement for additional workers. These factors contribute to a lack of growth and hinder the industry's ability to reach its full potential. In summary, the study emphasizes the importance of GSCM in combating climate change. It identifies the challenges associated with its implementation, particularly the need for knowledge in reverse logistics and the shortage of workers. Overcoming these challenges is crucial for the industry's advancement and achieving sustainable economic and environmental outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.