This study has made an attempt to understand, what HR's in a day dealt with at different working hours, by analyzing their emails from a particular organization. Sample size of the study consists of 7 HRs emails who are located at two different locations of the same organization in a country and for 15 different days that are selected randomly from a quarter.
After sanitizing the data and removing unnecessary characters and punctuation's, data has been prepared and transformed in such a way to get frequency of words used by each hour. A day has been divided into seven categories viz., first hour, second hour, etc. Correspondence analysis has been chosen keeping in the mind for graphical representation of the processed data (below is the output - prepared for presentation purposes). All analysis has been carried out using open source statistical computing tool "R".
Analysis tells us that, 'First' hour of the day's had always been dealt with HR policies, queries, and aspects related to appraisal, roles and productivity (higher number of aspects (5) in first one hour). And, 'Second' hour went completely for addressing leaves and grievances of the employees. Coming to 'Third' the turn of reviews and offers, however, both second and third dealt with less number of aspects i.e. only two. Surprisingly, none of the aspects at the fourth hour. Moving to fifth hour again good number of aspects (4) have been dealt viz., payroll aspects of the employees, diversity and safety in the organization and about interviews. Sixth hour went for addressing training needs and calendar related aspects. Last hours (2.23 hours on average) has been dealt with development, retention and performance aspects.
has worked extensively in the HR analytics and can be reached at
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