Abstract:
There continues to be no shortage of concern over employee retention in the technology sector, as rapid innovation and competitive opportunity, can spur turnover at a staggering rate. For organizations across the board — especially those that operate in highly technical domain like STech.ai — losing out on skilled talent (especially when it comes to young, promising freshers who are a rich resource) is a vulnerable situation. This thesis seeks to find a relationship between MBTI (Myers-Briggs Type Indicator) personality types and the predictability of tenure patterns as well as to offer some predictive statistical information to human resource activities within STech.ai. To manage this study a standardized MBTI questionnaire was given to 18 employees across various roles to be taken through for analysis. Their results were cross referenced closely with demographic variables, including age, gender, role seniority, work location (remote/on site) and employment duration. Employees who displayed structured thinking and social interaction or had an ESTJ and ESFJ type, tended to stay much longer in the company (over three years). On the flip side, people under age 26 and working remotely have a much higher likelihood of INFP / INTP employee to leave within year one for unmet psychological needs such as creative autonomy, company values alignment or team connection (Myers & Briggs Foundation, 2023; Robinson, 2019). Accomplishments of this research are actionable insights for HR professionals who are interested in changing organizational culture in such a way that it better aligns with employee personality preferences and thus is more likely to lead to increased employee satisfaction, commitment and subsequent long term retention (Gunkel et al., 2016).
