Work

From chats to sustainability: Does usability of chatbots lead to sustainable employee performance in green organizations?

Year: 2026

Type: article

Abstract: Despite the two recent trends in the business world—environmental sustainability and technological advancement, there is lack of ample studies which can help organizations meld the two latest developments. Thus, this study empirically tests the association between GHRM practices and sustainable employee performance with the underlying intervening role of chatbot usability. Considering the contextual nature of technology acceptance, the paper also examines how technostress moderates the association among chatbot usability and sustainable employee performance. Employees in Pakistan's manufacturing and service sectors were surveyed using a survey questionnaire. The proposed framework was tested using Partial Least Squares Structural Equation Modelling on a sample of 453 respondents chosen purposively from businesses pursuing green agenda. The statistical analysis confirmed the positive effect of GHRM practices on sustainable employee performance. Furthermore, chatbot usability was confirmed to have a mediating effect on the relationship. Importantly, technostress also moderates the link of chatbot usability and sustainable employee performance such that the relationship is weakened in the presence of chatbot usability. The results of this research make significant theoretical advances and provide a more thorough knowledge of employee outcomes, specifically in the context of workplace technology. It also confirms that the influence of GHRM extends beyond green outcomes. Consequently, the current research fosters the advancement of GHRM research while also realizing an interdisciplinary debate in the fields of HRM and Artificial intelligence technology. Furthermore, the current study’s findings have significant practical ramifications for businesses and decision makers attempting to adopt GHRM practices and technology in the workplace.

Source: Sustainable Futures

DOI: 10.1016/j.sftr.2025.101627

Authors: Muhammad Bilal Kayani, Aiman Niazi, Qudsia Jabeen, Saba Idress

Institution: National University of Modern Languages

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: gold

Estimated APC paid: $2,340