In the dynamic landscape of the modern workplace, employee well-being is the cornerstone of organizational success. The Job Demand- Resource (JD-R) model, presented by Bakker and Demerouti in 2007, highlights the complex balance between labour demand and resources. This model highlights the crucial role of adequate resources in mitigating the harmful effects of high job demand. Artificial intelligence (AI) is becoming a powerful work resource, offering innovative solutions to improve well-being and productivity.
All managed by AI, mindfulness apps, online therapy services, and virtual support groups provide the necessary access to mental health support networks. This integration perfectly aligns with the principles of the JD-R model, enabling organizations to actively address stress, prevent exhaustion, and ultimately improve overall well-being and job satisfaction. A 2017 study by Gajendran and Harrison highlights the positive impact of flexible working mechanisms provided by technology on work-life balance. AI facilitates remote work and flexible planning which reduces commute time. Based on artificial intelligence, these mechanisms allow employees to better control their schedules, thereby improving their overall well-being and job satisfaction, as they are focused on both professional and personal requirements.
Greenhaus and Powell (2016) proposed a theoretical framework called Family and Work Enrichment, which highlights the role of technology in promoting a positive interaction between work and family roles. As an information and communication mediator, artificial intelligence helps improve team performance and alleviate task-related stress. Based on this, Mesmer-Magnus and DeChurch’s 2019 results confirm the positive impact of technology on work-life balance, highlighting the role of AI in reducing stress through\ effective collaboration and communication.
The multilateral role of AI in the revolutionary human resource practice includes the role of stress relieving. Using behavioural and communication analysis, artificial intelligence can recognize early signs of exhaustion or anxiety in employees, allowing for rapid intervention. In addition, artificial intelligence contributes significantly to time management automation by eliminating insufficient time allocation that can lead to employee fatigue. Automating routine tasks, intelligent planning, and optimum workload distribution are areas where AI excels in creating a more efficient and sustainable work environment.
AI-based chatbots and AI’s open resources motivate lifelong learning by enabling employees to keep up
with industry trends. The personalized AI well-being programmes consider specific needs by offering
individual fitness regimes, diet plans and mental health support. This unique approach ensures that employees receive comprehensive support, improving their well-being and contributing to sustained job satisfaction.
Portable AI devices like smart watches are actively involved in health monitoring and prevention. These devices provide immediate health information, mental health support, and language support to various workers, as well as real-time assistance via AI. This provides quick and comprehensive support to employees, significantly improving mental well-being at work.
In conclusion, AI is crucial in simplifying HR processes, promoting more effective mental health support, and training a more active and active workforce. In line with the JD-R model, AI-based solutions are catalysts for significantly improving employee well-being and productivity in emerging workplaces. As organizations continue to use AI technologies, the synergy between AI and the JD-R model offers a promising way to create a balanced and supportive working environment, ultimately redefining the future of work.
References
Admin. (2023, September 5). Role of artificial intelligence in employee wellness. Pocket
HRMS. https://www.pockethrms.com/blog/role-of-artificial-intelligence-in-employee-
wellness/
View of Mental Health Ingenuities and the Role of Computer technology on Employees’
Mental health: A Systematic review.
(n.d.). https://journals.eanso.org/index.php/eajhs/article/view/1268/1893
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