데이터과학자의 이직의도에 미치는 요인에 관한 연구
A Study on the Factors Affecting Turnover Intention of Data Scientist
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초록
선도기업들이 빅데이터 활용에 주목하면서 데이터 과학 분야의 일자리도 꾸준히 늘어나고 있다. 하지만 데이터 과학자에게 필요한 기능과 지식을 충분히 갖추는 데는 상당한 시간이 소요되어 인력수급에 상당한 지장이 초래되고 있다. 또한 업계의 요구수준 및 관련 기술력을 두루 갖춘 데이터 과학자의 부족에서 기인하여 기존 데이터과학자들이 과중한 스트레스를 받고 있으며, 이직 유혹에 빠지고 있다. 본 연구는 빅데이터 시대에 꼭 필요한 인력인 데이터과학자의 이직의도에 영향을 미치는 요인들을구조화된 설문지를 통해 조사하였다. 그 결과 과업 중요성, 자율성, 보상 공정성, 참여기회, 동료관계등의 요인이 조직몰입을 매개변수로 이직의도에 영향을 주며, 참여기회, 동료 관계 등의 요인이 직무만족을 매개변수로 이직 의도에 영향을 주는 것으로 나타났다.
Abstract
The leading companies are also paying attention to utilizing Big Data, and jobs in data science are steadily increasing. However, it takes a considerable amount of time to fully acquire the skills and knowledge required for data scientists, resulting in a significant hindrance to the supply and demand of manpower. In addition, due to the lack of data scientists with industry requirements and related technologies, existing data scientists are undergoing tremendous stress and are being tempted to turn. This study investigates the factors affecting the turnover intention of data scientists, which are essential for big data era, through structured questionnaires. As a result, it is found that organizational commitment influences turnover intention on factors such as task importance, autonomy, compensation fairness, participation opportunity, and peer relationship, and factors such as participation opportunity, peer relationship.
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