TY - JOUR

T1 - Transformational change of manufacturing companies during the COVID-19 pandemic: Servitization shift and its impact on performance

AU - Dvoyanov, S.

AU - Kelchevskaya, N.

AU - Chernenko, I.

AU - Pelymskaya, I.

PY - 2023

Y1 - 2023

N2 - Purpose. In this article the authors test the hypothesis on the impact of service transformation during the COVID-19 pandemic on the performance of Russian manufacturing companies. Methods. The study uses least squares linear regression models. The proposed models reflect the logic of transforming input resources into outputs, based on the transformation of incoming labor, material resources, government support and servitization that have become relevant for companies during a pandemic. The empirical base of the study is data from Enterprise Surveys; the authors used materials from a survey of Russian enterprises conducted by the World Bank in the mid-2020. Results. Companies faced a significant reduction in consumer demand and were forced to reduce production volumes and the number of their employees. An increase in online service activity of companies is an important predictor of consumer demand growth in the market for manufacturing companies during a pandemic, while carry-out activities and a corresponding transformation of supply chains are crucial only for the service sector. Practical implications. The results of the study can be applied to support plans to develop servitization strategies of the manufacturing business. In particular, companies need to introduce basic servitization transformations. Limitations and further research. The authors use basic and intermediate servitization indicators related to the product distribution system at the end of the production chain. In further research, it would be rational to use the variables of advanced servitization in order to show its effect on performance. © 2023 Author(s).

AB - Purpose. In this article the authors test the hypothesis on the impact of service transformation during the COVID-19 pandemic on the performance of Russian manufacturing companies. Methods. The study uses least squares linear regression models. The proposed models reflect the logic of transforming input resources into outputs, based on the transformation of incoming labor, material resources, government support and servitization that have become relevant for companies during a pandemic. The empirical base of the study is data from Enterprise Surveys; the authors used materials from a survey of Russian enterprises conducted by the World Bank in the mid-2020. Results. Companies faced a significant reduction in consumer demand and were forced to reduce production volumes and the number of their employees. An increase in online service activity of companies is an important predictor of consumer demand growth in the market for manufacturing companies during a pandemic, while carry-out activities and a corresponding transformation of supply chains are crucial only for the service sector. Practical implications. The results of the study can be applied to support plans to develop servitization strategies of the manufacturing business. In particular, companies need to introduce basic servitization transformations. Limitations and further research. The authors use basic and intermediate servitization indicators related to the product distribution system at the end of the production chain. In further research, it would be rational to use the variables of advanced servitization in order to show its effect on performance. © 2023 Author(s).

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85177665294

U2 - 10.1063/5.0167479

DO - 10.1063/5.0167479

M3 - Conference article

VL - 2910

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

SN - 0094-243X

IS - 1

M1 - 020074

ER -