Skip to main content
SpringerLink
Log in

Human Resource Management to Improve the Quality of Energy Efficiency of the Enterprise

  • Chapter
  • First Online:
Economic Development and the Environmental Ecosystem

Part of the book series: Contributions to Economics ((CE))

Abstract

The approach to building a portfolio of energy efficiency projects discussed in the previous section is very promising, especially for organizations that are interested in increasing their own competitiveness. At the same time, it is impossible to implement innovative processes in production cycles without realizing the potential of our own human resources. Improving energy efficiency, in the context of rising tariffs and tougher competition, is the most important area of activity of a metallurgical enterprise, which has a significant impact on the amount of operating costs and indicators of rational use of energy resources. Strategy development is a priority task of forming an energy efficiency management system at a metallurgical enterprise, and it should be based on the principles of planning, organizing and controlling energy supply processes. As a priority direction for the development of the energy efficiency management system, it is proposed to use approaches to human resource management, which is a set of competencies in the field of energy-efficient production, with elements of a motivation system. As practice shows, most energy saving projects, both domestic and foreign, are based on the development and implementation of ideas and projects aimed at reducing the specific consumption of energy resources and minimizing their losses. However, an important area of innovative development of the energy efficiency management mechanism is competent personnel management. The main principles of this direction include daily savings by increasing the motivation and responsibility of staff, stimulating the implementation of changes related to energy efficiency and accumulating best practices in this area. Human resources in the field of energy efficiency management are considered to include knowledge about specific design solutions that promote efficiency improvement, production planning and preparation, as well as the implementation and management of energy-efficient technologies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alwaelya, S. A., Yousif, N. B. A., & Mikhaylov, A. (2021). Emotional development in preschoolers and socialization. Early Child Development and Care, 191, 16.

    Google Scholar 

  • An, J., & Mikhaylov, A. (2020). Russian energy projects in South Africa. Journal of Energy in Southern Africa, 31(3), 58–64.

    Article  Google Scholar 

  • An, J., & Mikhaylov, A. (2021). Analysis of energy projects financial efficiency and renewable energy generation in Russia. Finance: Theory and Practice, 25(5), 79–91.

    Google Scholar 

  • An, J., Mikhaylov, A., Dinçer, H., & Yüksel, S. (2022). Economic modelling of electricity generation: Long short-term memory and Q-rung Orthopair fuzzy sets. Heliyon, 8, e10759.

    Article  Google Scholar 

  • An, J., Mikhaylov, A., & Jung, S.-U. (2020b). The strategy of South Korea in the global oil market. Energies, 13(10), 2491.

    Article  Google Scholar 

  • An, J., Mikhaylov, A., & Jung, S.-U. (2021). A linear programming approach for robust network revenue management in the airline industry. Journal of Air Transport Management, 91, 101979.

    Article  Google Scholar 

  • An, J., Mikhaylov, A., & Kim, K. (2020c). Machine learning approach in heterogeneous group of algorithms for transport safety-critical system. Applied Sciences, 10(8), 2670.

    Article  Google Scholar 

  • An, J., Mikhaylov, A., & Moiseev, N. (2019b). Oil price predictors: Machine learning approach. International Journal of Energy Economics and Policy, 9(5), 1–6.

    Article  Google Scholar 

  • An, J., Mikhaylov, A., & Richter, U. H. (2020a). Trade war effects: Evidence from sectors of energy and resources in Africa. Heliyon, 6, e05693. https://doi.org/10.1016/j.heliyon.2020.e05693

    Article  Google Scholar 

  • An, J., Mikhaylov, A., & Sokolinskaya, N. (2019a). Machine learning in economic planning: Ensembles of algorithms. Journal of Physics: Conference Series, 1353, 012126.

    Google Scholar 

  • Badr, A. M. N. A. A., Mohamed, T. I., Osman, N. A. Q., & Mikhaylov, A. (2022). A review of social media website users’ interaction paths with governmental accounts during the COVID-19 pandemic. Informatics, 9, 50. https://doi.org/10.3390/informatics9030050

    Article  Google Scholar 

  • Barykin, S. E., Kapustina, I. V., Sergeev, S. M., Daniali, S. M., Kopteva, L. A., Semenova, G. N., Pryadko, I. P., Mikhaylov, A., Baboshkin, P., Datsyuk, P., & Senjyu, T. (2022a). Financial logistics models based on systematic approach improving management solutions. F1000Research, 11, 570. https://doi.org/10.12688/f1000research.111252.1

    Article  Google Scholar 

  • Barykin, S., Mikheev, A., Kiseleva, E., Putikhin, Y., Alekseeva, N., & Mikhaylov, A. (2022b). An empirical analysis of Russian regions’ debt sustainability. Economies, 10(4), 296.

    Google Scholar 

  • Bhuiyan, M. A., An, J., Mikhaylov, A., Moiseev, N., & Danish, M. S. S. (2021). Renewable energy deployment and COVID-19 measures for sustainable development. Sustainability, 13, 4418.

    Article  Google Scholar 

  • Bhuiyan, M. A., Dinçer, H., Yüksel, S., Mikhaylov, A., Danish, M. S. S., Pinter, G., et al. (2022a). Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models. Energy Reports, 8, 561–570.

    Article  Google Scholar 

  • Bhuiyan, M. A., Dinçer, H., Yüksel, S., Mikhaylov, A., Danish, M. S. S., Pinter, G., Uyeh, D. D., & Stepanova, D. (2022b). Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models. Energy Reports, 8(2022), 561–570.

    Article  Google Scholar 

  • Bhuiyan, M. A., Zhang, Q., Khare, V., Mikhaylov, A., Pinter, G., & Huang, X. (2022). Renewable energy consumption and economic growth nexus—A systematic literature review. Frontiers in Environmental Science., 10, 878394. https://doi.org/10.3389/fenvs.2022.878394

    Article  Google Scholar 

  • Candila, V., Maximov, D., Mikhaylov, A., Moiseev, N., Senjyu, T., & Tryndina, N. (2021). On the relationship between oil and exchange rates of oil-exporting and oil-importing countries: From the great recession period to the Covid-19 era. Energies, 14, 8065.

    Article  Google Scholar 

  • Carayannis, E., Kostis, P., Dinçer, H., & Yüksel, S. (2022). Balanced-scorecard-based evaluation of knowledge-oriented competencies of distributed energy investments. Energies, 15(21), 8245.

    Article  Google Scholar 

  • Conteh, F., Takahashi, H., Hemeida, A. M., Krishnan, N., Mikhaylov, A., & Senjyu, T. (2021). Hybrid grid-connected renewable power generation for sustainable electricity supply in Sierra Leone: Case study lungi town. Sustainability, 13(18), 1–20.

    Google Scholar 

  • Daniali, S. M., Barykin, S. E., Kapustina, I. V., Khortabi, F. M., Sergeev, S. M., Kalinina, O. V., Mikhaylov, A., Veynberg, R., Zasova, L., & Senjyu, T. (2021). Predicting volatility index according to technical index and economic indicators on the basis of deep learning algorithm. Sustainability, 2021(13), 14011.

    Article  Google Scholar 

  • Danish, M. S. S., Bhattacharya, A., Stepanova, D., Mikhaylov, A., Grilli, M. L., Khosravy, M., & Senjyu, T. (2020). A systematic review of metal oxide applications for energy and environmental sustainability. Metals, 10(12), 1604.

    Article  Google Scholar 

  • Danish, M. S. S., Senjyu, T., Sabory, N. R., Khosravy, M., Grilli, M. L., Mikhaylov, A., & Majidi, H. (2021). A forefront framework for sustainable aquaponics modeling and design. Sustainability, 13, 9313.

    Article  Google Scholar 

  • Danish, M. S., Senjyu, T. S., Sabory, N. R., & Mikhaylov, A. (2022a). Lessons from COVID-19 conferring environmental re-engineering opportunity. In M. Danish & T. Senjyu (Eds.), Eco-friendly and agile energy strategies and policy development (pp. 99–118). IGI Global. https://doi.org/10.4018/978-1-7998-9502-2.ch005

    Chapter  Google Scholar 

  • Danish, M. S., Senjyu, T. S., Sabory, N. R., & Mikhaylov, A. (2022b). Interplay consequences of COVID-19 on global environmental sustainability. In M. Danish & T. Senjyu (Eds.), Eco-friendly and agile energy strategies and policy development. IGI Global. https://doi.org/10.4018/978-1-7998-9502-2.ch003

    Chapter  Google Scholar 

  • Dayong, N., Mikhaylov, A., Bratanovsky, S., Shaikh, Z. A., & Stepanova, D. (2020). Mathematical modeling of the technological processes of catering products production. Journal of Food Process Engineering, 43(2), 1–9.

    Article  Google Scholar 

  • Denisova, V., Mikhaylov, A., & Lopatin, E. (2019). Blockchain infrastructure and growth of global power consumption. International Journal of Energy Economics and Policy, 9(4), 22–29.

    Article  Google Scholar 

  • Dinçer, H., Aksoy, T., Yüksel, S., & Hacioglu, U. (2022a). Golden cut-oriented q-rung orthopair fuzzy decision-making approach to evaluation of renewable energy alternatives for microgeneration system investments. Mathematical Problems in Engineering, 2022, 2261166.

    Article  Google Scholar 

  • Dinçer, H., Yüksel, S., ÇaÄŸlayan, Ç., Yavuz, D., & KararoÄŸlu, D. (2023). Can renewable energy investments be a solution to the energy-sourced high inflation problem?. In Managing inflation and supply chain disruptions in the global economy (pp. 220–238). IGI Global.

    Google Scholar 

  • Dinçer, H., Yüksel, S., & Martínez, L. (2022b). Collaboration enhanced hybrid fuzzy decision-making approach to analyze the renewable energy investment projects. Energy Reports, 8, 377–389.

    Article  Google Scholar 

  • Dinçer, H., Yüksel, S., Mikhaylov, A., Barykin, S. E., Aksoy, T., & HacioÄŸlu, U. (2022c). Analysis of environmental priorities for green project investments using an integrated q-rung orthopair fuzzy modelling. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3174058

  • Dinçer, H., Yüksel, S., Mikhaylov, A., Pinter, G., & Shaikh, Z. A. (2022d). Analysis of renewable-friendly smart grid technologies for the distributed energy investment projects using a hybrid picture fuzzy rough decision-making approach. Energy Reports, 8, 11466–11477. https://doi.org/10.1016/j.egyr.2022.08.275

    Article  Google Scholar 

  • Dong, B., Ikonnikova, I., Rogulin, R., Sakulyeva, T., & Mikhaylov, A. (2021). Environmentaleconomic approach to optimization of transport communication in megacities. Journal of Environmental Science and Health, Part A, 56(6), 660–666.

    Article  Google Scholar 

  • Dong, W., Zhao, G., Yüksel, S., Dinçer, H., & Ubay, G. G. (2022). A novel hybrid decision making approach for the strategic selection of wind energy projects. Renewable Energy, 185, 321–337.

    Article  Google Scholar 

  • Dooyum, U. D., Mikhaylov, A., & Varyash, I. (2020). Energy security concept in Russia and South Korea. International Journal of Energy Economics and Policy, 10(4), 102–107.

    Article  Google Scholar 

  • ErmiÅŸ, A. M., & Güven, M. E. (2022). The role of green energy Investments in Energy Supply Security. In Circular economy and the energy market (pp. 67–77). Springer, .

    Google Scholar 

  • Eti, S., Dinçer, H., Gökalp, Y., Yüksel, S., & KararoÄŸlu, D. (2023). Identifying key issues to handle the inflation problem in the healthcare industry caused by energy prices: An evaluation with decision-making models. Managing Inflation and Supply Chain Disruptions in the Global Economy, 162–178.

    Google Scholar 

  • Eti, S., Dinçer, H., Yüksel, S., & Gökalp, Y. (2022). Analysis of the suitability of the solar panels for hospitals: A new fuzzy decision-making model proposal with the T-spherical TOP-DEMATEL method. Journal of Intelligent & Fuzzy Systems, Preprint, 1–13.

    Google Scholar 

  • Fang, S., Zhou, P., Dinçer, H., & Yüksel, S. (2021). Assessment of safety management system on energy investment risk using house of quality based on hybrid stochastic interval-valued intuitionistic fuzzy decision-making approach. Safety Science, 141, 105333.

    Article  Google Scholar 

  • Gura, D., Mikhaylov, A., Glushkov, S., Zaikov, M., & Shaikh, Z. A. (2022). Model for estimating power dissipation along the interconnect length in single on-chip topology. Evolutionary Intelligence, 15, 2369–2373. https://doi.org/10.1007/s12065-020-00407-7

    Article  Google Scholar 

  • Haiyun, C., Zhixiong, H., Yüksel, S., & Dinçer, H. (2021). Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach. Renewable and Sustainable Energy Reviews, 143, 110844.

    Article  Google Scholar 

  • Huang, Y., Masrur, H., Shigenobu, R., Hemeida, A. M., Mikhaylov, A., & Senjyu, T. (2021a). A comparative design of a campus microgrid considering a multi-scenario and multi-objective approach. Energies, 14, 2853.

    Article  Google Scholar 

  • Huang, Y., Yona, A., Takahashi, H., Hemeida, A. M., Mandal, P., Mikhaylov, A., Senjyu, T., & Lotfy, M. E. (2021b). Energy management system optimization of drug store operate electric vehicles charging station. Sustainability, 14, 1217836.

    Google Scholar 

  • Kafka, K. I., Dinçer, H., & Yüksel, S. (2022). Impact-relation map of innovative service development regarding the sustainable growth for emerging markets. Journal of the Knowledge Economy, 1–24.

    Google Scholar 

  • Kalinina, O. V., Barykin, S. E., Sergeev, S. M., Semenova, G. N., Fatkullina, A., Mikhaylov, A., & De La Poza, E. (2022). Smart city perspectives in post-pandemic governance: Externalities reduction policy. F1000Research, 11, 1032. https://doi.org/10.12688/f1000research.123195.1

    Article  Google Scholar 

  • Kayacık, M., Dinçer, H., & Yüksel, S. (2022). Using quantum spherical fuzzy decision support system as a novel sustainability index approach for analyzing industries listed in the stock exchange. Borsa Istanbul Review, 22(6), 1145–1157.

    Article  Google Scholar 

  • Khan, A. A., Laghari, A. A., Gadekallu, T. R., Shaikh, Z. A., Javed, A. R., Rashid, M., Estrela, V. V., & Mikhaylov, A. (2022). A drone-based data management and optimization using metaheuristic algorithms and blockchain smart contracts in a secure fog environment. Computers and Electrical Engineering, 102, 108234. https://doi.org/10.1016/j.compeleceng.2022.108234

    Article  Google Scholar 

  • Khan, A. A., Shaikh, Z. A., Baitenova, L., Mutaliyeva, L., Moiseev, N., Mikhaylov, A., Laghari, A. A., Idris, S. A., & Alshazly, H. (2021). QoS-ledger: Smart contracts and metaheuristic for secure quality-of-service and cost-efficient scheduling of medical-data processing. Electronics, 10, 3083.

    Article  Google Scholar 

  • Kou, G., Yüksel, S., & Dinçer, H. (2022). Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects. Applied Energy, 311, 118680.

    Article  Google Scholar 

  • Li, J., Dinçer, H., Yüksel, S., Mikhaylov, A., & Barykin, S. E. (2022a). Bipolar q-ROF hybrid decision making model with golden cut for analyzing the levelized cost of renewable energy alternatives. IEEE Access, 10, 35900–35900. https://doi.org/10.1109/ACCESS.2022.3168315

    Article  Google Scholar 

  • Li, W., Yüksel, S., & Dinçer, H. (2022c). Understanding the financial innovation priorities for renewable energy investors via QFD-based picture fuzzy and rough numbers. Financial Innovation, 8(1), 1–30.

    Article  Google Scholar 

  • Li, J., Yüksel, S., Dınçer, H., Mikhaylov, A., & Barykin, S. E. (2022b). Bipolar q-ROF hybrid decision making model with golden cut for analyzing the levelized cost of renewable energy alternatives. IEEE Access, 10, 42507–42517.

    Article  Google Scholar 

  • Liu, L., Kato, T., Mandal, P., Mikhaylov, A., Hemeida, A. M., & Senjyu, T. (2021a). Multi-area power system load frequency control by using model predictive control by introducing renewable energy sources. In 2021 International Conference on Science & Contemporary Technologies (ICSCT), pp. 1–6. https://doi.org/10.1109/ICSCT53883.2021.9642521.

  • Liu, L., Kato, T., Mandal, P., Mikhaylov, A., Hemeida, A. M., Takahashi, H., & Tomonobu, S. (2021b). Two cases studies of model predictive control approach for hybrid renewable energy systems. AIMS Energy, 9(6), 1241–1259.

    Article  Google Scholar 

  • Liu, Z.-J., Panfilova, E., Mikhaylov, A., & Kurilova, A. (2022a). COVID-19 crisis impact on the stability between parties in crowdfunding and crowdsourcing. Wireless Personal Communications, 122, 915–930.

    Article  Google Scholar 

  • Liu, Z., Panfilova, E., Mikhaylov, A., & Kurilova, A. (2022b). Assessing stability in the relationship between parties in crowdfunding and crowdsourcing projects during the COVID-19 crisis. Journal of Global Information Management (JGIM), 30(4), 1–18. https://doi.org/10.4018/JGIM.297905

    Article  Google Scholar 

  • Martínez, L., Dinçer, H., & Yüksel, S. (2022). A hybrid decision making approach for new service development process of renewable energy investment. Applied Soft Computing, 133, 109897.

    Article  Google Scholar 

  • Mehta, R., Verghese, J., Mahajan, S., Barykin, S., Bozhuk, S., Kozlova, N., Kapustina, I., Mikhaylov, A., Naumova, E., & Dedyukhina, N. (2022). Consumers’ behavior in conversational commerce marketing based on messenger chatbots. F1000Research, 11, 647. https://doi.org/10.12688/f1000research.122037.1

    Article  Google Scholar 

  • Mikhaylov, A. (2018). The yield of the carry trade strategy. Finance: Theory and Practice, 22(3), 52–63. https://doi.org/10.26794/2587-5671-2018-22-3-52-63

    Article  Google Scholar 

  • Mikhaylov, A. (2020a). Cryptocurrency market analysis from the open innovation perspective. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 197.

    Article  Google Scholar 

  • Mikhaylov, A. (2020b). Geothermal energy development in Iceland. International Journal of Energy Economics and Policy, 10(4), 31–35.

    Article  Google Scholar 

  • Mikhaylov, A. (2020c). Cryptocurrency market development: Hurst method. Finance: Theory and Practice, 24(3), 81–91.

    Google Scholar 

  • Mikhaylov, A. (2021a). Development of Friedrich von Hayek’s theory of private money and economic implications for digital currencies. Terra Economicus, 19(1), 53–62.

    Article  Google Scholar 

  • Mikhaylov, A. (2021b). Lichens as indicators of atmospheric pollution in urban ecosystems. Israel Journal of Ecology & Evolution, 67(1–2), 60–68. https://doi.org/10.1163/22244662-bja10016

    Article  Google Scholar 

  • Mikhaylov, A. (2022a). Efficiency of renewable energy generation in Russia. Anais da Academia Brasileira de Ciências, 94(4), e20191226. https://doi.org/10.1590/0001-3765202220191226

    Article  Google Scholar 

  • Mikhaylov, A. (2022b). Sustainable development and renewable energy: A new view to a global problem. Energies, 15, 1397. https://doi.org/10.3390/en15041397

    Article  Google Scholar 

  • Mikhaylov, A., Bhatti, I. M., Dinçer, H., & Yüksel, S. (2022a). Integrated decision recommendation system using iteration-enhanced collaborative filtering, golden cut bipolar for analyzing the risk-based oil market spillovers. Computational Economics, 1–34.

    Google Scholar 

  • Mikhaylov, A., Bhatti, I. M., Dinçer, H., & Yüksel, S. (2022c). Integrated decision recommendation system using iteration-enhanced collaborative filtering, golden cut bipolar for analyzing the risk-based oil market spillovers. Computational Economics. https://doi.org/10.1007/s10614-022-10341-8

  • Mikhaylov, A., Burakov, D., & Didenko, V. (2019). Relationship between oil price and macroeconomic indicators in Russia. Finance: Theory and Practice, 23(2), 105–116. https://doi.org/10.26794/2587-5671-2019-23-2-105-116

    Article  Google Scholar 

  • Mikhaylov, A., Dinçer, H., & Yüksel, S. (2023). Analysis of financial development and open innovation oriented fintech potential for emerging economies using an integrated decision-making approach of MF-X-DMA and golden cut bipolar q-ROFSs. Financ Innov, 9, 10. https://doi.org/10.1186/s40854-022-00234-w

    Article  Google Scholar 

  • Mikhaylov, A., & Grilli, M. L. (2022). Machine learning methods and sustainable development: Metal oxides and multilayer metal-oxides. Metals, 12(4), 17–33.

    Google Scholar 

  • Mikhaylov, A., Sokolinskaya, N., & Nyangarika, A. (2018). Optimal carry trade strategy based on currencies of energy and developed economies. Journal of Reviews on Global Economics, 7, 582–592.

    Article  Google Scholar 

  • Mikhaylov, A., & Tarakanov, S. (2020). Development of Levenberg-Marquardt theoretical approach for electric network. Journal of Physics: Conference Series, 1515, 052006.

    Google Scholar 

  • Mikhaylov, A., Yumashev, A., & Kolpak, E. (2022). Quality of life, anxiety and depressive disorders in patients with extrasystolic arrhythmia. Archives of Medical Science, 18(2). https://doi.org/10.5114/aoms.2020.101359

  • Moiseev, N., Mikhaylov, A., Dinçer, H., & Yüksel, S. (2023). Effects of market capitalization shocks for open innovation models in e-commerce industry: Golden cut QROF MCDM analysis. Financ Innov, 9, 32.

    Article  Google Scholar 

  • Moiseev, N., Mikhaylov, A., Varyash, I., & Saqib, A. (2020). Investigating the relation of GDP per capita and corruption index. Entrepreneurship and Sustainability Issues, 8(1), 780–794.

    Article  Google Scholar 

  • Moiseev, N., Sorokin, A., Zvezdina, N., Mikhaylov, A., Khomyakova, L., & Danish, M. S. S. (2021). Credit risk theoretical model on the base of DCC-GARCH in time-varying parameters framework. Mathematics, 9, 2423. https://doi.org/10.3390/math9192423

    Article  Google Scholar 

  • Mukhametov, A., Bekhorashvili, A., Avdeenko, A., & Mikhaylov, A. (2021). The impact of growing legume plants under conditions of Biologization and soil cultivation on chernozem fertility and productivity of rotation crops. Legume Research, 44, 12.

    Google Scholar 

  • Mukhtarov, S., Yüksel, S., & Dinçer, H. (2022). The impact of financial development on renewable energy consumption: Evidence from Turkey. Renewable Energy, 187, 169–176.

    Article  Google Scholar 

  • Mutalimov, V., Kovaleva, I., Mikhaylov, A., & Stepanova, D. (2021). Assessing regional growth of small business in Russia. Entrepreneurial Business and Economics Review, 9(3), 119–133. https://doi.org/10.15678/EBER.2021.090308

    Article  Google Scholar 

  • Nie, D., Panfilova, E., Samusenkov, V., & Mikhaylov, A. (2020). E-learning financing models in Russia for sustainable development. Sustainability, 12(11), 4412.

    Article  Google Scholar 

  • Nyangarika, A., Mikhaylov, A., Muyeen, S. M., Yadykin, V., Mottaeva, A., Pryadko, I., Barykin, S., Fomenko, N., Rykov, G., & Shvandar, K. (2022). Energy stability and decarbonization in developing countries: Random Forest approach for forecasting of crude oil trade flows and macro indicators. Frontiers in Environmental Science, 10, 1031343. https://doi.org/10.3389/fenvs.2022.1031343

    Article  Google Scholar 

  • Nyangarika, A., Mikhaylov, A., & Richter, U. (2019a). Influence oil price towards economic indicators in Russia. International Journal of Energy Economics and Policy, 9(1), 123–129.

    Google Scholar 

  • Nyangarika, A., Mikhaylov, A., & Richter, U. (2019b). Oil price factors: Forecasting on the base of modified auto-regressive integrated moving average model. International Journal of Energy Economics and Policy, 9(1), 149–159.

    Google Scholar 

  • Nyangarika, A., Mikhaylov, A., & Tang, B.-J. (2018). Correlation of oil prices and gross domestic product in oil producing countries. International Journal of Energy Economics and Policy, 8(5), 42–48.

    Google Scholar 

  • Saqib, A., Chan, T.-H., Mikhaylov, A., & Lean, H. H. (2021). Are the responses of sectoral energy imports asymmetric to exchange rate volatilities in Pakistan? Evidence from recent foreign exchange regime. Frontiers in Energy Research, 9, 614463. https://doi.org/10.3389/fenrg.2021.614463

    Article  Google Scholar 

  • Sediqi, M. M., Nakadomari, A., Mikhaylov, A., Krishnan, N., Lotfy, M. E., Yona, A., & Senjyu, T. (2022). Impact of time-of-use demand response program on optimal operation of Afghanistan real power system. Energies, 15, 296.

    Article  Google Scholar 

  • Shaikh, Z. A., Kraikin, A., Mikhaylov, A., & Pinter, G. (2022). Forecasting stock prices of companies producing solar panels using machine learning methods. Complexity, 2022, 9186265. https://doi.org/10.1155/2022/9186265

    Article  Google Scholar 

  • Shaikh, Z. A., Moiseev, N., Mikhaylov, A., & Yüksel, S. (2021). Facile synthesis of copper oxide-cobalt oxide/nitrogen-doped carbon (Cu2O-Co3O4/CN) composite for efficient water splitting. Applied Sciences., 11, 9974. https://doi.org/10.3390/app11219974

    Article  Google Scholar 

  • Sun, L., Peng, J., Dinçer, H., & Yüksel, S. (2022). Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut. Energy, 256, 124606.

    Article  Google Scholar 

  • Tamashiro, K., Alharbi, T., Mikhaylov, A., Hemeida, A. M., Krishnan, N., Lotfy, M. E., & Senjyu, T. (2021). Investigation of home energy management with advanced direct load control and optimal scheduling of controllable loads. Energies, 14, 7314. https://doi.org/10.3390/en14217314

    Article  Google Scholar 

  • Tamashiro, K., Omine, E., Krishnan, N., Mikhaylov, A., Hemeida, A. M., & Senjyu, T. (2023). Optimal components capacity based multi-objective optimization and optimal scheduling based MPC-optimization algorithm in smart apartment buildings. Energy & Buildings, 278, 112616. https://doi.org/10.1016/j.enbuild.2022.112616

    Article  Google Scholar 

  • Uyeh, D. D., Asem-Hiablie, S., Park, T., Kim, K.-M., Mikhaylov, A., Woo, S., & Ha, Y. (2021). Could japonica rice be an alternative variety for increased global food security and climate change mitigation? Food, 10, 1869. https://doi.org/10.3390/foods10081869

    Article  Google Scholar 

  • Varyash, I., Mikhaylov, A., Moiseev, N., & Aleshin, K. (2020). Triple bottom line and corporate social responsibility performance indicators for Russian companies. Entrepreneurship and Sustainability Issues, 8(1), 313–331.

    Article  Google Scholar 

  • Xu, X., Yüksel, S., & Dinçer, H. (2022). An integrated decision-making approach with Golden cut and bipolar q-ROFSs to renewable energy storage investments. International Journal of Fuzzy Systems, 1–14.

    Google Scholar 

  • Yuan, G., Xie, F., Dinçer, H., & Yüksel, S. (2021). The theory of inventive problem solving (TRIZ)-based strategic mapping of green nuclear energy investments with spherical fuzzy group decision-making approach. International Journal of Energy Research, 45(8), 12284–12300.

    Article  Google Scholar 

  • Yüksel, S., & Dinçer, H. (2022). Identifying the strategic priorities of nuclear energy investments using hesitant 2-tuple interval-valued Pythagorean fuzzy DEMATEL. Progress in Nuclear Energy, 145, 104103.

    Article  Google Scholar 

  • Yüksel, S., Dinçer, H., Eti, S., & Adalı, Z. (2022). Strategy improvements to minimize the drawbacks of geothermal investments by using spherical fuzzy modelling. International Journal of Energy Research.

    Google Scholar 

  • Yumashev, A., & Mikhaylov, A. (2020). Development of polymer film coatings with high adhesion to steel alloys and high wear resistance. Polymer Composites, 41(7), 2875–2880.

    Article  Google Scholar 

  • Yumashev, A., Åšlusarczyk, B., Kondrashev, S., & Mikhaylov, A. (2020). Global indicators of sustainable development: Evaluation of the influence of the human development index on consumption and quality of energy. Energies, 13, 2768.

    Article  Google Scholar 

  • Zhang, Y., Zhang, Y., Gong, C., Dinçer, H., & Yüksel, S. (2022). An integrated hesitant 2-tuple Pythagorean fuzzy analysis of QFD-based innovation cost and duration for renewable energy projects. Energy, 248, 123561.

    Article  Google Scholar 

  • Zhao, Q., Cherkasov, S., Avdeenko, A., Kondratenko, L., & Mikhaylov, A. (2021). Integral estimate of the added value of agricultural crops in the synergetic agriculture on the example of Vicia faba (Vicia faba L.). Polish Journal of Environmental Studies, 30(5), 1–9. https://doi.org/10.15244/pjoes/131949

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of the Ryukyus, Nishihara, Japan

    Mir Sayed Shah Danish

  2. The State University of Londrina, Londrina, Brazil

    Emerson Guzzi Zuan Esteves

Authors
  1. Mir Sayed Shah Danish
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Emerson Guzzi Zuan Esteves
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Business and Management, Istanbul Medipol University, Istanbul, Istanbul, Türkiye

    Hasan Dincer

  2. Istanbul Medipol University, Istanbul, Istanbul, Türkiye

    Serhat Yüksel

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Danish, M.S.S., Esteves, E.G.Z. (2023). Human Resource Management to Improve the Quality of Energy Efficiency of the Enterprise. In: Dincer, H., Yüksel, S. (eds) Economic Development and the Environmental Ecosystem. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-26596-9_12

Download citation

Publish with us

Policies and ethics

Search

Navigation