Assessment of the Readiness of Regional Transport Systems for Digital Transformation
DOI:
https://doi.org/10.17059/ekon.reg.2022-3-13Keywords:
infrastructure, digitalisation, principal component method, composite index, digital transformation, transport system, digital readiness, potential of digital developmentAbstract
The events of 2020 and emerging social and economic restrictions have increased the relevance of digital transformation, leading to the transition to new services, platforms, business models, as well as to the development of digital systems. The study aims to develop a new approach to assessing the readiness of regional transport systems for digital transformation and identifying regions in which the potential of digital development is not fully exploited. In the study, we used index method, statistical methods (including standard deviation), the principal component method for selecting and evaluating indicators to create a composite index, etc. The proposed approach was tested in the industrially developed regions of the Russian Federation. At the first stage, industrialised regions were divided into 5 groups according to the readiness of transport systems for digital transformation (extremely low, low, moderate, high, extremely high). The group with the lowest values of indicators included Vologda, Volgograd, and Irkutsk oblasts. A low level of readiness was recorded in Novgorod, Kaluga and Omsk oblasts and Krasnoyarsk krai. The largest group of regions with a moderate readiness index included seven regions: Vladimir, Yaroslavl, Leningrad, Rostov, Samara oblasts, Perm krai and the Republic of Bashkortostan. Lipetsk, Murmansk and Chelyabinsk oblasts are characterised by high readiness, while Nizhny Novgorod, Sverdlovsk and Moscow oblasts have an extremely high level of readiness. At the second stage, the regions were distributed according to the deviation of the level of digitalisation from the level of readiness of the transport system for digital transformation. As a result, the study revealed the potential of digital development of transport systems in industrialised regions.
References
Akberdina, V. V. & Pyankova, S. G. (2021). Digital transformation of industry: methodological aspects. Nauchnye trudy Volnogo ekonomicheskogo obshchestva Rossii [Scientific works of the Free Economic Society of Russia], 227(1), 292-313. (In Russ.)
Akberdina, V. V. (2020). Multifunctional role of industrially developed regions in the Russian economy. Journal of New Economy, 21(3), 48-72. DOI: https://doi.org/10.29141/2658-5081-2020-21-3-3 (In Russ.)
Aslanova, I. V. & Kulichkina, A. I. (2020). Digital maturity: Definition and model. In: Proc. 2nd Int. Sci.-Prac. Conf. “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020) (pp. 443-449). Atlantis Press.
Ayvazyan, S. A., Stepanov, V. S. & Kozlova, M. I. (2006). Measuring the synthetic categories of quality of life in a region and identification of main trends to improve the social and economic policy (Samara region and its constituent terri- tories). Prikladnaya ekonometrika [Applied Econometrics], 2, 18-84. (In Russ.)
Batrakova, L. G. (2019). Development of digital economy in Russian regions. Sotsialno-politicheskie issledovaniya [Socio-political studies], 2, 45-60. (In Russ.)
Frankel, N. & Gage, A. (2007). M&E fundamentals: A self-guided minicourse. MEASURE Evaluation Carolina Population Center University of North Carolina at Chapel Hill. Washington, 78.
Funnell, S. & Rogers, P. (2011). Purposeful Program Theory: Effective Use of Theories of Change and Logic Models. John Wiley & Sons, 576.
Gokhberg, L. M., Rudnik, P. B., Vishnevsky, K. O. & Zinina, T. S. (Eds.) (2021). Tsifrovaya transformatsiya otrasley: startovye usloviya i prioritety: dokl. k XXII Apr. mezhdunar. nauch. konf. po problemam razvitiya ekonomiki i obshchestva, Moskva, 13–30 apr. 2021 g. [Digital transformation of industries: Starting conditions and priorities: report for the XXII April International Academic Conference on Economic and Social Development. Moscow. 13-30]. Moscow: HSE Publishing House, 239. Retrieved from: https://conf.hse.ru/mirror/pubs/share/463148459.pdf?ysclid=l42pqvlbyo (Date of access: 15.02.2022) (In Russ.)
Gulin, K. A., Mazilov, E. A., Kuzmin, I. V., Alferyev, D. A., Ermolov, A. P. (2017). Scientific and technological poten- tial of a territory and its comparative appraisal. Problemy razvitiya territorii [Problems of territory’s development], 1(87), 7-26. (In Russ.)
Hanna, N. K. (2020). Assessing the digital economy: Aims, frameworks, pilots, results, and lessons. Journal of Innovation and Entrepreneurship, 9, 16. DOI: https://doi.org/10.1186/s13731-020-00129-1
Kalita, T. V. (2013). Economics and contemporary management: theory and practice. Ekonomika i sovremennyy menedzhment: teoriya i praktika [Economy and contemporary management: theory and practice], 29, 79–86. (In Russ.)
Katz, I., Newton, B. J., Shona, B. & Raven, M. (2016). Evaluation theories and approaches; relevance for Aboriginal contexts. Sydney: Social Policy Research Centre, UNSW Australia, 49.
Kendyuhov, A. V. & Tolkachov, D. O. (2013). PCA method used in estimating of mashine-building enterprise competitiveness. Marketing i menedzhment innovatsiy [Marketing and Management of Innovations], 4, 219-22. (In Russ.)
Kusek, J. Z. & Rist, R. C. (2004). Ten steps to a results-based monitoring and evaluation: handbook for development practitioners. Washington, DC: World Bank, 248.
Kuvayeva, Yu. V. (2019). Digital economy: Concepts and Russia’s readiness to transition. Journal of the Ural State University of Economics, 1, 25–40. DOI: 10.29141/2073-1019-2019-20-1-3.
Litvintseva, G. P. & Karelin, I. N. (2020). Effects of digital transformation of the economy and quality of life in Russia. Terra Economicus, 18(3), 53-71. DOI: doi.org/10.18522/2073-6606-2020-18-3-53-71. (In Russ.)
Myslyakova, Yu. G., Kotlyarova, S. N. & Matushkina, N. A. (2021). Genetic Approach to Assessing the Infrastructure Coherence of an Industrial Region. Ekonomika regiona [Economy of region], 17(3), 784-798. DOI: 10.17059/ekon. reg.2021-3-5. (In Russ.)
Njama, A. W. (2015). Determinants of effectiveness of a monitoring and evaluation system for projects: A case of Amref Kenya WASH programme. Nairobi: University of Nairobi, 205.
Omonyo, A. B. (2015). Lectures in project monitoring & evaluation for professional practitioners. Germany: Lambert Academic Publishing. 2015. Retrieved from: https://www.researchgate.net/publication/331481635_Lectures_in_Project_ Monitoring_and_Evaluation_for_Professional_Practitioners (Date of access: 10.02.2022)
Otieno, F. A .O. (2000). The roles of monitoring and evaluation in projects. In: 2nd International Conference on Construction in Developing Countries: Challenges Facing the Construction Industry in Developing Countries (pp. 15-17).
Patton, M. Q. (2008). Utilization-focused evaluation, 4th edition. New York: SAGE Publications, Inc., 688.
Philipp, R. (2020). Digital readiness index assessment towards smart port development. Sustainability Management Forum, 28(1), 49–60. DOI: https://doi.org/10.1007/s00550-020-00501-5
Romanova, O. A., Akberdina, V. V. & Bukhvalov, N. Yu. (2016). Shared Values in the Formation of a Modern Techno- Economic Paradigm. Ekonomicheskie i sotsialnye peremeny: fakty, tendentsii, prognoz [Economic and social changes: facts, trends, forecast], 3(45), 173-190. (In Russ.)
Stufflebeam, D. L. & Coryn, C. L. S. (2014). Evaluation theory, models & applications, Research Methods for the Social Sciences, 2nd edition. San Francisco, CA: Jossey-Bass, 800.
Tache, F. (2011). Developing an integrated monitoring and evaluation flow for sustainable investment projects. Economia. Seria Management, 14(2), 380-391.
Wittenstein, D. (2020). Champions of digital transformation? The dynamic capabilities of hidden champions. ZEW Discussion Papers no. 20-065. Mannheim: ZEW. Leibniz Centre for European Economic Research, 11, 68.
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