Abstract:
"
This research is on the idea of how ideal candidates for remote working can be assessed for stage
one recruitment. It explores various ways of creating a single model to provide results for analysis
via machine learning techniques. The global pandemic has caused the urgency of shift to such
remote models and organisations have not had enough exposure in handling such change. Thus,
this creates a reasonable demand for the recruitment behavior assessing model. The model
considers various factors that affect behavioural patterns of employees in the IT sector such as
personality, life-style, gender etc. and its results have been interpreted using the potential data
analytic tool.
Many theories were discussed to identify which data analytic tools and techniques would be most
appropriate for the research along with the interpretation of such data. This study later interprets
the data collected from respondents to identify a potential candidate in the IT sector. In the end,
this research reflects the importance of a recruitment model for remote working using machine
learning and the main objective of the study is to create such user-friendly model for use by IT
organizations.
"
