Abstract
Objective: To examine the current E-Human Resource Trends and its effect on personal effectiveness of an employee concerning Information Technology employees in and around Hyderabad, and Indian Metro.
Method: The four independent factors related to E- Human Resource Management (EHRM), the E-Hiring 5 items, E-Rewards & Recognition (4-items), E-Payroll Process 5 items, E-Performance Management 5 items and the one dependent factor Personal Effectiveness with 6 items were measured. The data are gathered through a structured questionnaire consisting of 25 items to measure the above said 5 factors published on the Google Form, and a link to 400 Information Technology employees provided through WhatsApp, Messages, and other methods.
Results: The reliability of the research instrument measured estimating Cronbach’s alpha statistic that ranged from 0.69 to 0.90, split-half (odd-eve) correlations, ranged from 0.60 to 0.81, and Spearman Brown Prophecy, ranged from 0.71 to 0.93 indicating strong reliability and internal consistency. The multiple regression results indicate that mode explain 16% of variance when all the independent variables entered simultaneously in the model. Further, the E-HRM factors E-Hiring, E-Rewards & Recognition, and E-Performance Management are statistically significant (P<0.05; p<0.001) influencing the personal effectiveness of the information technology employees. There were statistically significant gender association with personal effectiveness of the information technology employees.
Conclusions: The study provides the valuable insights into the application of E-Human Resource Management factors like E-Hiring, E-Rewards and Recognition, E-payroll Process and E-Performance Management. The E-HRM will enhance employee productivity, organizational performance and employee personal effectiveness. The organizations will be beneficial on application of E-HRM for employee management.
Publisher
South Florida Publishing LLC
Subject
Law,Development,Management, Monitoring, Policy and Law
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