Ai-Driven Hr Practices As Drivers Of Employee Engagement And Performance In It Companies In Chennai
VOLUME 22, 2025
The Role of Targeted Infra-popliteal Endovascular Angioplasty to Treat Diabetic Foot Ulcers Using the Angiosome Model: A Systematic Review
VOLUME 6, 2023
Dr. C. Gnanadesigan
Mr. Yuvnesh Kumar R.J.
Abstract
The increasing adoption of artificial intelligence (AI) in human resource management has transformed how organizations manage and develop their workforce, particularly in technology-driven industries. This study investigates the impact of AI-enabled HR practices on employee engagement and performance within Chennai's IT sector. A descriptive-analytical methodology was employed, gathering primary data from 83 IT employees via a structured questionnaire. The collected data were examined using reliability tests, Principal Factor Analysis, Pearson correlation, and regression analysis.
Principal Factor Analysis identified two main dimensions of AI-powered HR practices: AI-enabled talent and performance management, and AI-driven learning and employee support. The findings demonstrate that these AI-based practices positively influence both employee engagement and performance. Additionally, increased employee engagement was linked to better performance, underscoring its importance for improving work results. The study indicates that effectively implementing AI-powered HR practices, supported by appropriate human involvement and development, can foster an engaged and high-performing workforce. These findings are especially useful for IT organizations seeking to leverage AI-driven HR systems to improve employee engagement and performance.
Keywords :
Artificial Intelligence, AI-Driven HR Practices, Employee Engagement, Employee Performance, IT Sector, Chennai.
Erin Saricilar
Lecture in accounting. University of Basrah, College of Administration and Economics, Department of Accounting.
Lecture in accounting. University of Basrah, College of Administration and Economics, Department of Accounting.
Abstract
Atherosclerotic disease significantly impacts patients with type 2 diabetes, who often present with recalcitrant peripheral ulcers. The angiosome model of the foot presents an opportunity to perform direct angiosome-targeted endovascular interventions to maximise both wound healing and limb salvage. A systematic review was performed, with 17 studies included in the final review. Below-the-knee endovascular interventions present significant technical challenges, with technical success depending on the length of lesion being treated and the number of angiosomes that require treatment. Wound healing was significantly improved with direct angiosome-targeted angioplasty, as was limb salvage, with a significant increase in survival without major amputation. Indirect angioplasty, where the intervention is applied to collateral vessels to the angiosomes, yielded similar results to direct angiosome-targeted angioplasty. Applying the angiosome model of the foot in direct angiosome-targeted angioplasty improves outcomes for patients with recalcitrant diabetic foot ulcers in terms of primary wound healing, mean time for complete wound healing and major amputation-free survival.
Keywords :
Diabetic foot ulcer, angiosome, angioplasty