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INVESTIGATING THE PRACTICES AND STRATEGIC IMPLEMENTATION OF GREEN HUMAN RESOURCE MANAGEMENT IN ORGANIZATIONS Aajaz Ahmad Hajam; Alphonsa S John; Shukurov Rustam Ergash O’g’li; Muyassar Raxmonova Abdufattohovna; Narziyeva Visola; Rakhmatullayeva Sogdiana
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 3 No. 1 (2024): July
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/jaruda.v3i1.163

Abstract

The accelerating pace of global industrialization has heightened the need for enhancing employee engagement, motivation, retention, brand value, and reducing labor turnover. Concurrently, increasing environmental risks and ecological imbalances have prompted stakeholders to urgently pursue environmental sustainability. Green Human Resource Management (Green HRM) has emerged as an innovative strategy that aligns human resource management with environmental sustainability. This study aims to elucidate the concept of Green HRM, its benefits, the policies and practices adopted by organizations, and the impact of Green HRM on traditional HR alternatives.
ETHICAL CHALLENGES IN AI AND AUTOMATION IN MANAGEMENT: IMPLICATIONS FOR DECISION-MAKING, JOB DISPLACEMENT AND DATA PRIVACY Aajaz Ahmad Hajam; Alphonsa S John
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 6 No. 1 (2024): 7th IHERT (2024): IHERT (2024) FIRST ISSUE: International Conference on Health
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ihert.v6i1.415

Abstract

Artificial Intelligence (AI) and automation have rapidly become cornerstones in transforming management practices, streamlining operational efficiency, and enhancing decision-making capabilities across industries. However, these technologies present significant ethical challenges that cannot be overlooked. The core ethical concerns pertain to the transparency and fairness of AI-driven decision-making, the socio-economic effects of job displacement, and data privacy risks in the age of automation. This review article examines these ethical dilemmas through an extensive exploration of existing literature, identifying the key concerns and potential strategies for addressing them. Additionally, it proposes a research problem and objective focused on developing ethical frameworks to guide the integration of AI and automation into management. The conclusion emphasizes the need for collaborative efforts among stakeholders—corporations, governments, and civil society organizations—to ensure the responsible adoption of AI and automation technologies.