TY - GEN

T1 - Digital Transformation of Personnel Management in Organizations Under the Influence of Big Data Technologies

AU - Окрушко, Екатерина Юрьевна

AU - Рассказов, Сергей Вениаминович

AU - Рассказова, А.Н.

AU - Васецкая, Наталья

N1 - Okrushko, E., Rasskazov, S.V., Rasskazova, A.N., Vasetskaya, N. (2023). Digital Transformation of Personnel Management in Organizations Under the Influence of Big Data Technologies. In: Ilin, I., Petrova, M.M., Kudryavtseva, T. (eds) Digital Transformation on Manufacturing, Infrastructure & Service. DTMIS 2022. Lecture Notes in Networks and Systems, vol 684. Springer, Cham. https://doi.org/10.1007/978-3-031-32719-3_10

PY - 2023

Y1 - 2023

N2 - The research issue in the field of Big Data has been and remains its application in specific areas. The purpose of the research is to empirically study the changes that occur in the personnel management system of an organization under the influence of Big Data technology. The research methodology is based on the system and structural/functional analysis, the idea of personnel management as a social institution, as well as the properties of Big Data. The empirical base was formed by the materials of interviews on the topic of the research with five leading specialists in personnel management of large and medium-sized organizations, as well as a questionnaire survey of employees and candidates (82 people). Data processing was performed with the use of descriptive statistics and regression methods. Key findings: HR digital transformation of the organization under the influence of Big Data is considered within the framework of sociology of organizations and personnel management; the views on the problem of the use of Big Data of both the interacting parties in personnel management system are specified; management recommendations are provided on the use of Big Data in HRM. The areas of further research include, in particular, the development of methodology of the use of unstructured data in HR with due account for ethical constraints, as well as the specification of management decisions in relation to the various functions of “digital” personnel management.

AB - The research issue in the field of Big Data has been and remains its application in specific areas. The purpose of the research is to empirically study the changes that occur in the personnel management system of an organization under the influence of Big Data technology. The research methodology is based on the system and structural/functional analysis, the idea of personnel management as a social institution, as well as the properties of Big Data. The empirical base was formed by the materials of interviews on the topic of the research with five leading specialists in personnel management of large and medium-sized organizations, as well as a questionnaire survey of employees and candidates (82 people). Data processing was performed with the use of descriptive statistics and regression methods. Key findings: HR digital transformation of the organization under the influence of Big Data is considered within the framework of sociology of organizations and personnel management; the views on the problem of the use of Big Data of both the interacting parties in personnel management system are specified; management recommendations are provided on the use of Big Data in HRM. The areas of further research include, in particular, the development of methodology of the use of unstructured data in HR with due account for ethical constraints, as well as the specification of management decisions in relation to the various functions of “digital” personnel management.

KW - Big Data Technology

KW - Human Resources Management

KW - Unstructured Data

UR - https://www.mendeley.com/catalogue/0bfce43f-8588-35d2-b3ff-ae38959f345a/

U2 - 10.1007/978-3-031-32719-3_10

DO - 10.1007/978-3-031-32719-3_10

M3 - Conference contribution

SN - 978-3-031-32718-6

VL - 684

T3 - Lecture Notes in Networks and Systems

SP - 130

EP - 139

BT - International Scientific Conference “Digital Transformation on Manufacturing, Infrastructure & Service" DTMIS 2022:

PB - Springer Nature

T2 - International Scientific Conference “Digital Transformation on Manufacturing, Infrastructure & Service"

Y2 - 28 April 2022 through 29 April 2022

ER -