• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Analysis and Prediction of Employee Turnover in Retail Company

Student: Tckvitishvili Natali

Supervisor: Julia Tarasova

Faculty: St.Petersburg School of Economics and Management

Educational Programme: Economics (Bachelor)

Year of Graduation: 2020

Researchers in different spheres from psychology to economics have analysed people’s behaviour, especially at work. Companies from all over the world also monitor how people feel themselves at their jobs and why they can resign. Our study focuses on voluntary employee turnover in one large retail company and throughout it analyses current situation there. The main method used is survival analysis, in which we used Kaplan-Meier curves and Cox model. Moreover, we have built decision trees to see how factors influencing turnover are connected with each other. The conclusions are that reasons for leaving are not only material and obvious ones (wage, for example), but also some that we did not expect and thought it has low impact. After the research we suggested some retention methods, which company could implement to decline high turnover rate.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses