Artificial Intelligence in Green Human Resource Management: Examining the Mediating Role of Employee Engagement in Attaining Organizational Sustainability
This bibliometric and critical review reveals that the nascent field of AI-enabled Green HRM largely overlooks employee engagement as a mediating mechanism for organizational sustainability, prompting the authors to propose a dual-pathway framework and research agenda to guide future studies on how AI can either build or erode engagement to achieve green outcomes.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the modern workplace, companies face a growing pressure to operate in ways that protect the planet. To meet these goals, many organizations have turned to a strategy called green human resource management. This approach involves hiring people who care about the environment, training them to reduce waste, and rewarding behaviors that help the company stay sustainable. For years, researchers have known that when employees feel supported and motivated by these green policies, they are more likely to act in ways that help the environment. However, a new tool is rapidly changing how these policies are delivered: artificial intelligence. From software that screens job applicants for environmental values to algorithms that track energy usage in real time, technology is becoming a central part of the green workplace. The big question for leaders and scientists alike is whether this high-tech approach actually helps the environment, or if it might accidentally create new problems that undermine the very goals it is meant to achieve.
A recent study set out to answer this question by looking at the vast amount of research already published on the topic. The researchers, based in universities across Central Asia and Pakistan, wanted to understand exactly how artificial intelligence fits into green human resource management and, crucially, whether it works by making employees more engaged and willing to participate. They began by gathering and analyzing over 200 scientific studies published between 2010 and 2026 that discussed the intersection of artificial intelligence and green human resources. They compared this group of studies with another set of nearly 600 studies that looked at green human resources and employee engagement separately. By mapping out these two groups of research side by side, they could see where the fields overlapped and, more importantly, where they failed to connect.
The analysis revealed a surprising gap. While the field of green human resources has grown quickly, especially in the last two years, the research on artificial intelligence in this area is still in its very early stages. The study found that most existing research treats artificial intelligence as a tool for improving the company's overall efficiency or capability, focusing on the organization as a whole. Very few studies have looked at what happens inside the mind of the employee. In fact, out of the 206 studies on artificial intelligence and green human resources, only five actually tested whether employee engagement was the mechanism that led to better environmental results. This suggests that while companies are eager to adopt these technologies, they do not yet fully understand how the technology changes the way workers feel about their jobs or how it influences their daily actions.
The researchers also discovered that the current literature often assumes artificial intelligence is automatically a good thing for the environment. However, a closer look at the evidence shows a more complicated picture. The study highlights that artificial intelligence can act as a double-edged sword. On one hand, it can provide valuable resources to employees, such as personalized training, clear feedback on their environmental impact, and recognition for their green efforts. When employees receive this kind of support, they tend to feel more engaged and motivated to do good work. On the other hand, the same technology can create new demands and stress. If employees feel they are being constantly watched by an algorithm, or if the decisions made by the software seem unfair or confusing, they may feel stressed and disengaged. This stress can actually reduce their willingness to participate in green initiatives, potentially canceling out any benefits the technology was supposed to provide.
Furthermore, the study points out a hidden cost that is often ignored: the environmental footprint of the artificial intelligence systems themselves. Training and running these powerful computer models requires a significant amount of energy. The researchers argue that for a company to truly claim it is being sustainable, it must count the energy used by its artificial intelligence systems against the environmental gains those systems produce. If the technology consumes more energy than it helps save, the net result is not green at all.
Based on these findings, the authors propose a new way of thinking about this relationship. They suggest that artificial intelligence will only lead to a truly sustainable organization if it is designed to build up employees' resources rather than drain their energy. This means using technology to offer helpful feedback and learning opportunities, rather than using it primarily as a surveillance tool to monitor behavior. The study also emphasizes that the success of these systems depends on how they are governed. Factors like transparency, fairness, and having a human in the loop to oversee decisions are critical. If these conditions are met, artificial intelligence can help employees feel more connected to the company's green goals. If they are not, the technology may create resistance and stress that harms the environment.
The research concludes that the field is moving from a focus on simple technological efficiency to a more nuanced understanding of people and governance. The authors call for future studies to move beyond simple surveys and to use more rigorous methods that track changes over time. They also urge researchers to look at diverse regions and to measure actual environmental outcomes, such as energy use and waste reduction, rather than just asking employees how they feel. By treating artificial intelligence as a tool that must be carefully managed to support human engagement, rather than a magic solution that works on its own, organizations can better navigate the path toward genuine sustainability. The study does not claim to have solved the problem, but it provides a clear map of where the current knowledge stands and where the most important work needs to be done next.
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