[
[1] Park C., Heo W. Review of the changing electricity industry value chain in the ICT convergence era. Journal of Cleaner Production 2020:258:120743. https://doi.org/10.1016/j.jclepro.2020.12074310.1016/j.jclepro.2020.120743
]Search in Google Scholar
[
[2] Brennen J. S., Kreiss D. Digitalization. The international encyclopedia of communication theory and philosophy 2016:1–11. https://doi.org/10.1002/9781118766804.wbiect11110.1002/9781118766804.wbiect111
]Search in Google Scholar
[
[3] IEA. Smart Grid Technology Roadmap. Paris: International Energy Agency, 2011.
]Search in Google Scholar
[
[4] Rehmani M. H., et al. Integrating renewable energy resources into the smart grid: Recent developments in information and communication technologies. IEEE Transactions on Industrial Informatics 2018:14(7):2814–2825. https://doi.org/10.1109/TII.2018.281916910.1109/TII.2018.2819169
]Search in Google Scholar
[
[5] Digital Transformation: Powering the Oil and Gas Industry. Oil & Gas Journal 2018 [Online]. [Accessed 05.02.2021]. Available: https://www.ogj.com/home/article/17297879/digital-transformation-powering-the-oil-gas-industry
]Search in Google Scholar
[
[6] Park C., Kim H. The development structure and impact of information and communication convergence in the energy sector. Ulsan: Korea Energy Economics Institute, 2015.
]Search in Google Scholar
[
[7] Yu H., Park K. Research on factors that utilize intelligent technology in the oil and gas sector. Ulsan: Korea Energy Economics Institute, 2017.
]Search in Google Scholar
[
[8] Aveva. Digitalisation in Chemicals & Petrochemicals. Paris: Aveva, 2018.
]Search in Google Scholar
[
[9] Ghobakhloo M., Fathi M. Industry 4.0 and opportunities for energy sustainability. Journal of Cleaner Production 2021:295:126427. https://doi.org/10.1016/j.jclepro.2021.12642710.1016/j.jclepro.2021.126427
]Search in Google Scholar
[
[10] Ahmad T., Zhang D., Huang C., Zhang H., Dai N., Song Y., Chen H. Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities. Journal of Cleaner Production 2021:289:125834. https://doi.org/10.1016/j.jclepro.2021.12583410.1016/j.jclepro.2021.125834
]Search in Google Scholar
[
[11] Jin H., Zhao J. Real-time energy consumption detection simulation of network node in internet of things based on artificial intelligence. Sustainable Energy Technologies and Assessments 2021:44:101004. https://doi.org/10.1016/j.seta.2021.10100410.1016/j.seta.2021.101004
]Search in Google Scholar
[
[12] BNEF. 2H 2020 Digital Trends in Power, Oil and Gas. New York, BNEF, 2021.
]Search in Google Scholar
[
[13] Küfeoglu S., et al. Digitalisation and new business models in energy sector. Working paper, Faculty of Economics, University of Cambridge, 2019. https://doi.org/10.17863/CAM.41226
]Search in Google Scholar
[
[14] Nambisan S., Wright M., Feldman M. The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes. Research Policy 2019:48(8):103773. https://doi.org/10.1016/j.respol.2019.03.01810.1016/j.respol.2019.03.018
]Search in Google Scholar
[
[15] Ahmad T., et al. Artificial Intelligence in Sustainable Energy Industry: Status Quo, Challenges and Opportunities. Journal of Cleaner Production 2021:289:125834. https://doi.org/10.1016/j.jclepro.2021.12583410.1016/j.jclepro.2021.125834
]Search in Google Scholar
[
[16] Coskun-Setirek A., Tanrikulu Z. Digital innovations-driven business model regeneration: A process model. Technology in Society 2021:64:101461. https://doi.org/10.1016/j.techsoc.2020.10146110.1016/j.techsoc.2020.101461
]Search in Google Scholar
[
[17] Swan M. Blockchain: Blueprint for a new economy. O’Reilly Media, Inc., 2015.
]Search in Google Scholar
[
[18] Ferreira J. J., Fernandes C. I., Ferreira F. A. To be or not to be digital, that is the question: Firm innovation and performance. Journal of Business Research 2019:101:583–590. https://doi.org/10.1016/j.jbusres.2018.11.01310.1016/j.jbusres.2018.11.013
]Search in Google Scholar
[
[19] Hess T., et al. Options for formulating a digital transformation strategy. MIS Quarterly Executive 2016:15(2):123–139.
]Search in Google Scholar
[
[20] Monteiro F., Birkinshaw J. The external knowledge sourcing process in multinational corporations. Strategic Management Journal 2017:38(2):342–362. https://doi.org/10.1002/smj.248710.1002/smj.2487
]Search in Google Scholar
[
[21] Siachou E., Vrontis D., Trichina E. Can traditional organizations be digitally transformed by themselves? The moderating role of absorptive capacity and strategic interdependence. Journal of Business Research 2021:124:408– 421. https://doi.org/10.1016/j.jbusres.2020.11.01110.1016/j.jbusres.2020.11.011
]Search in Google Scholar
[
[22] Berggren C., Magnusson T., Sushandoyo D. Transition pathways revisited: established firms as multi-level actors in the heavy vehicle industry. Research Policy 2015:44(5):1017–1028. https://doi.org/10.1016/j.respol.2014.11.00910.1016/j.respol.2014.11.009
]Search in Google Scholar
[
[23] Müller J. M. Antecedents to digital platform usage in Industry 4.0 by established manufacturers. Sustainability 2019:11(4):1121. https://doi.org/10.3390/su1104112110.3390/su11041121
]Search in Google Scholar
[
[24] Park C., Lee D. Analysis on new types of electric power businesses using a morphological box. Energy & Environment 2021:32(1):113–133. https://doi.org/10.1177/0958305X2091941310.1177/0958305X20919413
]Search in Google Scholar
[
[25] IEA. Digitalization and Energy. Paris, IEA, 2017.
]Search in Google Scholar
[
[26] Mutlinomial Logistic Regression. R Data Analysis Examples [Online]. [Accessed 31.01.2021]. Available: https://stats.idre.ucla.edu/r/dae/multinomial-logistic-regression/
]Search in Google Scholar
[
[27] Long J. S. Regression models for categorical and limited dependent variables (Vol. 7). Sage, 1997.
]Search in Google Scholar
[
[28] Starkweather J., Moske A. K. Multinomial logistic regression. 2011 [Online]. [Accessed 31.01.2021]. Available: https://it.unt.edu/sites/default/files/mlr_jds_aug2011.pdf
]Search in Google Scholar
[
[29] Interpreting exp(B) in multinomial logistic regression [Online]. [Accessed 03.02.2021]. Available: https://stats.stackexchange.com/questions/17196/interpreting-expb-in-multinomial-logistic-regression
]Search in Google Scholar
