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Original scientific article

ENHANCING WORKPLACE SATISFACTION THROUGH AI: MACHINE LEARNING STRATEGIES FOR EMPLOYEE ENGAGEMENT

By
Amthul Naseeb Orcid logo ,
Amthul Naseeb

Assistant Professor, Dayananda Sagar University , Bangalore , India

S. Ramesh Babu Orcid logo ,
S. Ramesh Babu

Associate Professor, Department of MBA, KL Business School, Koneru Lakshmaiah Education Foundation , Guntur , India

Jalaja Anilkumar Orcid logo ,
Jalaja Anilkumar

Assistant Professor, Management Studies, Reva University , Bangalore , India

Mounica Vallabhaneni Orcid logo ,
Mounica Vallabhaneni

Associate Professor, Alliance School of Business, Alliance University , Bengaluru , India

Indumathi Orcid logo ,
Indumathi

Assistant Professor, Department of Business Administration, Koshys Institute of Management Studies, School of management, Presidency University , Bangalore , India

N. Venkatarathnam Orcid logo ,
N. Venkatarathnam

Dean, Department of Management Studies, Sambhram University , Jizzakh , Uzbekistan

S. Mahabub Basha Orcid logo
S. Mahabub Basha

Assistant Professor, Department of Management, International Institute of Business Studies , Bangalore , India

Abstract

This study looks into how artificial intelligence (AI), especially machine learning (ML), might improve workplace satisfaction and employee engagement among mid-level IT professionals in Bangalore. The report examines the strategic uses of AI in digital trust systems, employee profiling, and predictive analytics, based on a structured survey of 434 participants from well-known firms like Infosys, IBM, Wipro, and Accenture. Perceptions were measured on a 5-point Likert scale, and descriptive statistics, correlation, regression, and structural equation modeling (SEM) were employed to evaluate the data. Cronbach's Alpha scores for all constructs in the reliability report above 0.70, indicating good internal consistency. With a statistically significant Pearson correlation of 0.71 (p < 0.001), the results show that machine learning-based engagement tools have a beneficial impact on workplace satisfaction. Today's organizations are leveraging AI technology to identify and attract qualified candidates that meet their regular requirements of experience and competencies. The objective of this type of study will be to provide organizations with a framework to better correlate employee engagement with organizational performance using Structured Modelling. Based on the research conducted on AI's success in addressing significant behavioural and organizational challenges, it has become evident that there is a high level of correlation between the level of employee engagement and the strategic factors that influence such engagement. Thus, this research supports the proposition that AI offers companies an excellent opportunity to develop innovative data-structured strategies for engaging their employees. Furthermore, the implementation of AI technologies within the Human Resources function will create a positive organizational culture, enhance founder morale and foster an overall increase in employee retention rates. Thus, it is vital for organizations to incorporate AI systems in order to create and implement the most appropriate employee engagement model for each of their respective company cultures and missions.

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