Readiness of Regions for Digitalization of the Construction Complex
| Autor: | Marina Romanovich, Irina Rudskaya, Ekaterina Tereshko |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
fuzzy set method
lcsh:Management. Industrial management Sociology and Political Science Computer science Project commissioning Fuzzy set 0211 other engineering and technologies 020101 civil engineering 02 engineering and technology rating Development lcsh:Business Fuzzy logic regional and urban development digitalization 0201 civil engineering Russia Set (abstract data type) construction complex ddc:650 021105 building & construction construction industry Scale (chemistry) Aggregate (data warehouse) Industrial engineering Variable (computer science) lcsh:HD28-70 lcsh:HF5001-6182 General Economics Econometrics and Finance Membership function |
| Zdroj: | Journal of Open Innovation: Technology, Market, and Complexity Volume 7 Issue 1 Journal of Open Innovation: Technology, Market and Complexity, Vol 7, Iss 2, p 2 (2021) |
| ISSN: | 2199-8531 |
| DOI: | 10.3390/joitmc7010002 |
| Popis: | The construction industry is high-tech and is one of the key areas for the strategic development of regions in terms of their digitalization. The construction complex provides regions with infrastructure of various levels from design documentation to commissioning, as well as reconstruction and major repairs of buildings. The article adopts an isolated regional approach, which is due to the need to assess specific territories by the level of readiness for digitalization of the construction complex. The purpose of the research is to determine the level of readiness of Russian regions for the digitalization of the construction complex by forming a rating of regions according to the indicator &ldquo the level of readiness of the region for digitalization of the construction complex&rdquo To build the rating, the fuzzy sets method was applied using a triangular membership function, which allows to describe the influence of various processes on the formation of digitalization processes in the construction complex of the region. When forming the rating, a scale of fuzzy variable values is set which allows one to classify regions by levels, namely very low, low, medium, high, and very high. The generated rating is illustrated according to the specified scale. Based on the rating, the leading regions and outsider regions are identified by the formed indicator. It was determined that Moscow and Saint Petersburg are highly prepared for the digitalization of their construction complexes, and 53 regions of Russia are potentially prepared. In the future, it will be possible to create a rating of Russian regions on the level of readiness for digitalization of the construction complex with a two-year lag. Then, using the DEA shell analysis method, a quantitative assessment will be carried out that allows you to form performance boundaries and, against the background of four years, adjust the data to identify the most realistic picture. Also, the rating methodology considered by the authors allows us to scale this research to the international level, which will allow us to assess the level of digital development of construction complexes in other countries. The proposed rating algorithm is suitable for other sectors and complexes of the economy. It is enough to determine the main aggregate indicator and select groups of factors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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