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The impact of business process modelling on the companies’ efficiency under Covid-19 conditions

Bibliographic Data

ID15067841
AuthorsIhor Bashuk (0000-0003-3261-9302, Kyiv National Economic University named after Vadym Hetman), Rui Miguel Dantas (0000-0001-8566-7303, ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal), Mário Nuno Mata (0000-0003-1765-4273, ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal), Kateryna Boichenko (0000-0003-4636-067X, Kyiv National Economic University named after Vadym Hetman, corresponding author), João Xavier Rita (0000-0003-1297-4905, ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal), Anabela Batista Correia (0000-0001-5912-3871, ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Lisbon, Portugal)
Year2023
Volume36
Issue3
Publication date2023-12-25
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2023.2183418
OpenAlexW4382301886
LanguageEN
References cited42

The purpose of this study is to form a methodological approach to assessing the impact of the effectiveness of business process modelling under the COVID-19 pandemic, which creates an opportunity to diagnose the impact of business modelling results on the company’s activities, as well as to make justified management decisions concerning the integrated development of the most relevant and significant business components of the model. The research methodology consists of correlation and regression analysis, scenario modelling, and hierarchical synthesis. The research was carried out according to the materials from 16 road transport companies in Ukraine engaged in cargo transportation. Determination of the effectiveness indicators of business processes modelling per their quality, cost, and speed made it possible to identify leaders and outsiders among the companies under study based on the specified parameters. Regression analysis proves that the speed of business processes is the most significant factor in modelling efficiency for the surveyed companies. According to the determination of the impact of the business processes modelling effectiveness on the companies’ financial efficiency and productivity, the connection between these indicators was diagnosed under the COVID-19 pandemic. The most effective scenario for the vast majority of the studied companies under the pandemic circumstances is one that focuses on the cost and speed of business processes. Modelling business processes based on the scenario of concentration on the cost and speed indicators of business processes have the highest positive effect of their modelling, which contributes to increasing the financial efficiency and productivity of the companies under study. The study confirms the need for integrated business processes modelling, which considers different combinations of the resulting indicators and contributes to increasing the efficiency of business processes modelling and the companies’ financial efficiency and productivity under the COVID-19 pandemic

Business · Business model · Business process · Business process management · Economics · Industrial organization · Multilevel model · Process management · Productivity · Regression analysis · Work in process · Business and Economic Development · Computer Science · Economic Issues in Ukraine · Labor Market and Education · Marketing

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