title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÑÐ»ÐµÐ¹ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð¾ÑÐµÐ½Ð¸Ð²Ð°Ð½Ð¸Ñ ÑÐ¾ÑÑÑÐ´Ð½Ð¸ÐºÐ¾Ð² ÐºÑÑÐ¿Ð½Ð¾Ð¹ IT ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Ð´Ð»Ñ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð¾Ð¼
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of training and evaluation modules for employees of a large IT company for a personnel management information system
Creators: name: ÐÐ¾Ð³Ð°ÑÐµÐ²Ð°, Ð¡Ð¾ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð¾Ð¼
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¾ÑÑÐ»ÐµÐ¶Ð¸Ð²Ð°Ð½Ð¸Ðµ Ð³Ð°Ð´Ð¶ÐµÑÐ°
Ð¾ÑÐµÐ½Ð¸Ð²Ð°Ð½Ð¸Ðµ ÑÐ¾ÑÑÑÐ´Ð½Ð¸ÐºÐ°
Ð±Ð¾Ñ Ð²Ð¾Ð¿ÑÐ¾ÑÐ½Ð¾-Ð¾ÑÐ²ÐµÑÐ½Ð¾Ð³Ð¾ ÑÐ¸Ð¿Ð°
personnel management system
machine learning
gadget tracking
employee evaluation
questionâand-answer type bot

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description: The subject of the research is methods and technologies for the development and implementation of new modules in the personnel management information system, namely the employee adaptation module and the Q&amp;A bot module. This includes the development of the architecture and functionality of these modules. The purpose of this study is to develop software that represents an information system for personnel management. This system will include two new modules that are not included in any analyzed personnel management information system. This work is devoted to the analysis of existing personnel management systems. The study revealed the advantages and disadvantages of such systems, as well as suggested ways to eliminate the identified shortcomings. Two new modules are offered as an innovation. The first module is designed to evaluate employees and helps the companyâs management evaluate an employee after a probation period. To do this, questionnaire cards were created, which are filled out by each member of the team with whom the employee worked. As a result, an algorithm was developed that automatically calculates the weighting coefficients for each question and, based on the answers and these coefficients, concludes whether the employee has passed the probation period. This module will demonstrate the highest accuracy when using a large dataset for a training sample, therefore it is recommended for use in large companies. The second module is designed to adapt employees and is a question-and-answer type bot (Q&amp;A). A bank of questions from the companyâs employees was collected, and answers to them were prepared. The user asks the bot a question inside the information system, after which the developed algorithm searches for the most similar question in a pre-prepared database and provides the appropriate answer. The second module was implemented in the IT company, after which a survey was conducted among employees on the accuracy of the botâs responses. Both modules were registered with Rospatent.