An Analytical Study for Implementing 360-Degree M-HRM Practices Using Amazon Mechanical Turk and Machine Learning in IT Sector

The scope of this paper focuses on the evolution of Mobile Human Resource Management (M-HRM) from its origin in 1973 to the present day, and the impact it has on the workforce of MNCs in the IT industry. The study highlights the use of smartphones, tablets, and mobile-based applications in the HR processes of midsized and large organizations. The study found that many companies are changing their HR processes to attract and retain workers through the smart use of mobile technology. In this research, Amazon Mechanical Turk and Machine Learning were used to generate responses to the survey. The study further explores the functions supported by M-HRM such as manpower planning, recruitment, selection, retention, payroll/compensation planning and benefits management, communication/Green HRM/Future Workplace Trends, training and development, performance management, employee engagement, employee welfare management, and travel management. The study concludes that mobile technology has revolutionized the human resource management industry and provides an easy way to connect and inform the workforce in an easily scalable way. The use of mobile technology in Human Resource Management (M-HRM) has been a topic of interest in recent years. However, there is limited research on the impact of M-HRM on productivity, employee engagement, efficiency, and work-life balance. This paper presents a 360-degree study on the correlation between Talent Acquisition Process using M-HRM and effective Work-Life Balance in IT/ITES companies located in and around Pune. The paper examines the advantages and disadvantages of M-HRM, and how proactive measures can result in smooth coordination with employees without adversely impacting the human element of HRM. The study uses statistical analysis of primary data obtained from HR managers, executives, and employees of selected IT/ITES companies in Pune, along with secondary data from various sources.