{"title":"Development of Methods for Assessing the Digital Maturity of Organisations Considering the Regional Aspect","authors":"A. Chursin, T. Kokuytseva","doi":"10.17059/ekon.reg.2022-2-11","DOIUrl":null,"url":null,"abstract":"Digital transformation has reached all regions of the Russian Federation. In this regard, it is essential to assess the digital maturity of various companies. Simultaneously, digital transformation projects should take into account interregional imbalances and regional specificities. The present study aims to develop an economic tool for assessing the digital maturity of organisations considering the regional aspect. To achieve this goal, we analysed theoretical approaches to assessing the digital maturity, presented a system of indicators that consider regional aspects, and created an assessment algorithm for interpreting the results. The developed economic tool allows the assessment of internal and external digital maturity in terms of quantitative indicators. Internal digital maturity considers scientific and technical, as well as production factors. In the presented methodology, external digital maturity considers four regional aspects: human, financial, consumer, infrastructural. Digital maturity was calculated using data normalisation methods to ensure their commensurability and analytic hierarchy process to consider the weight of each factor. Based on the presented scale, obtained via the method of simple grouping into equal intervals, digital maturity of organisations can be classified as basic, emerging, medium, advanced or high. Additionally, the conducted assessment of digital maturity allowed us to identify the “bottlenecks” in organisations that should be eliminated in order to increase the effectiveness of digital transformation. The developed economic tool was tested on the example of high-tech enterprises of the Russian Federation. The relationship between the calculated estimates and digital development of Russian regions was demonstrated. The obtained results can be used to implement strategies for managing the digital transformation of organisations, as well as to develop regional policies.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"143 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ekonomika Regiona-Economy of Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17059/ekon.reg.2022-2-11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AREA STUDIES","Score":null,"Total":0}
引用次数: 2
Abstract
Digital transformation has reached all regions of the Russian Federation. In this regard, it is essential to assess the digital maturity of various companies. Simultaneously, digital transformation projects should take into account interregional imbalances and regional specificities. The present study aims to develop an economic tool for assessing the digital maturity of organisations considering the regional aspect. To achieve this goal, we analysed theoretical approaches to assessing the digital maturity, presented a system of indicators that consider regional aspects, and created an assessment algorithm for interpreting the results. The developed economic tool allows the assessment of internal and external digital maturity in terms of quantitative indicators. Internal digital maturity considers scientific and technical, as well as production factors. In the presented methodology, external digital maturity considers four regional aspects: human, financial, consumer, infrastructural. Digital maturity was calculated using data normalisation methods to ensure their commensurability and analytic hierarchy process to consider the weight of each factor. Based on the presented scale, obtained via the method of simple grouping into equal intervals, digital maturity of organisations can be classified as basic, emerging, medium, advanced or high. Additionally, the conducted assessment of digital maturity allowed us to identify the “bottlenecks” in organisations that should be eliminated in order to increase the effectiveness of digital transformation. The developed economic tool was tested on the example of high-tech enterprises of the Russian Federation. The relationship between the calculated estimates and digital development of Russian regions was demonstrated. The obtained results can be used to implement strategies for managing the digital transformation of organisations, as well as to develop regional policies.