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Generating personalized job role recommendations for the IT sector through predictive analytics and personality traits

机译:通过预测分析和个性特征为IT部门生成个性化的工作角色建议

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Collectively, the Information Technology sector forms one of the topmost recruiting industries as of 2015. The industry continues to grow rapidly by expanding its footprint into unexplored verticals and newer technologies. It is imperative that the IT workforce is one that is competent, versatile and adaptive. Numerous studies have determined that there is a direct correlation between the success achieved in a particular job role and the personality traits that an individual possesses. This study focuses on identifying suitable job roles for an individual who seeks a career in the IT sector by analyzing their personality. Additionally, an attempt is made to suggest potentially beneficial and currently relevant skills that the individual could acquire to excel in the suggested job roles. The study uses Holland Codes to understand the individuals' personality and to identify these job roles. Additionally, the five factor model is used to further strengthen the quality of the recommendation made. The identification of skills relevant to a job role is done through the application of data analytics to job listings on web portals.
机译:截止到2015年,信息技术领域已成为最顶尖的招聘行业之一。该行业通过将其业务范围扩展到未开发的垂直行业和较新的技术中,继续快速增长。至关重要的是,IT员工必须具备能力,多功能和适应能力。许多研究已经确定,在特定工作角色中获得的成功与个人所拥有的人格特质之间存在直接的关联。这项研究的重点是通过分析其性格,为在IT行业寻求职业的个人确定合适的工作角色。此外,尝试建议个人可以获取的潜在有益的和当前相关的技能,以使其在建议的工作角色中表现出色。该研究使用荷兰规范来了解个人的性格并确定这些工作角色。此外,五因素模型用于进一步加强所提出建议的质量。通过将数据分析应用到门户网站上的职位列表,可以确定与职位角色相关的技能。

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