Energy conservation culture and energy performance of industrial companies
Keywords:
energy management, energy performance, human resources, energy conservation culture.
Abstract
Recent years have seen sparked interest to business models based on sustainable development, which seek harmonious co-development of human resources, organizational culture, and production systems. This paper analyzes how HR management practices, a culture of energy conservation, and staff’s knowledge regarding energy efficiency affect the ability of Russian industrial companies to reach their targets in energy management. Methods in use involve factor analysis, structural equation modeling (SEM), and the author-developed questionnaire that is designed to measure the effects of internal intellectual factors (human resources, culture, and knowledge) on industrial energy performance. For the first time, this paper presents an SEM-based estimation of HR practices and their effects on industrial energy performance. Empirically, this study is based on the results of surveys that involved managers and technical officers of 14 Russian industrial companies in 2016-2017. Analysis shows that employee training, development of energy efficiency skills, and sharing knowledge on energy conservation issues do contribute to reaching the energy policy targets.
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References
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Ates, S.A., & Durakbasa, N.M. (2012). Evaluation of corporate energy management practices of energy intensive industries in Turkey. Energy, 45(1), 81–91. https://doi.org/10.1016/j.energy.2012.03.032
Augenbroe, G., Castro, D., & Ramkrishnan, K. (2009). Decision model for energy performance improvements in existing buildings. Journal of Engineering, Design and Technology, 7 (1), 21–36. https://doi.org/10.1108/17260530910947240
Babin, B.J., & Svensson, G. (2012). Structural equation modeling in social science research. European Business Review, 24(4), 320–330. https://doi.org/10.1108/09555341211242132
Bunse, K., Vodicka M., Schönsleben P., Brülhart M., & Ernst F.O. (2011). Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature. Journal of Cleaner Production, 19(6-7), 667–679. https://doi.org/10.1016/j.jclepro.2010.11.011
Christoffersen, L.B., Larsen, A., & Togeby, M. (2006). Empirical analysis of energy management in Danish industry. Journal of Cleaner Production, 14(5), 516–526. https://doi.org/10.1016/j.jclepro.2005.03.017
Hock, M., Clauss, T., & Schulz, E. (2016). The impact of organizational culture on a firm’s capability to innovate the business model. R&D Management, 46(3), 433–450. https://doi.org/10.1111/radm.12153
International Energy Agency (2007). Tracking Industrial Energy Efficiency and CO2 Emissions. Paris, France: IEA Publications.
Jacobs, E.F. (2012). IRI Medal: Meeting Tomorrow’s Energy Demand through Innovation and Collaboration. Research-Technology Management, 55 (6), 25-31. Retrieved June 23, 2021, from https://www.jstor.org/stable/26586646
Kodeks, JSC (2012). Standard GOST R ISO 50001-2012. System energy management: requirements and guidance for use. https://docs.cntd.ru/document/1200096140
Kondratieva, E.V., & Pogrebnjak, A.D. (2014). Integrity strategies, business processes and organizational structure of the enterprise in the implementation of the energy management system. Modern problems of science and education, (2), 441. https://www.science-education.ru/ru/article/view?id=12673 (in Russian).
Lesourd, J.-B., & Ruiz, J.-M. (1984). Human Resources for Energy Management: The case of French Industry. Engineering Management International, 2(3), 195–198. https://doi.org/10.1016/0167-5419(84)90024-3
Li, H., Zhao, X., Yu, Y., Wu, T., & Qi, Y. (2016). China’s numerical management system for reducing national energy intensity. Energy Policy, 94, 64–76. https://doi.org/10.1016/j.enpol.2016.03.037
Lin, C.Y., & Syrgabayeva, D. (2016). Mechanism of environmental concern on intention to pay more for renewable energy: Application to a developing country. Asia Pacific Management Review, 21(3), 125–134. https://doi.org/10.1016/j.apmrv.2016.01.001
Liu, X., Niu, D., Bao, C., Suk, S., & Shishime, T. (2012). A survey study of energy saving activities of industrial companies in Taicang, China. Journal of Cleaner Production, 26, 79–89. https://doi.org/10.1016/j.jclepro.2011.12.030
Nasledov, A.D. (2013). SPSS Statistics 20 and AMOS: professional statistical analysis of data. Russia, Saint Petersburg: Peter. https://www.ozon.ru/context/detail/id/1941568/ (in Russian).
Okorokov, V.R., Volkov, I.O., & Okorokov, R.V. (2010). Intelligent energy systems: technical capability and efficiency. Part 1. Technological and socio-economic grounds for the creation of intelligent energy systems. Energy Academy, (2), 56-64. https://elibrary.ru/download/elibrary_21827572_16331918.pdf (in Russian).
Schulze, M., Nehler, H., Ottosson, M., & Thollander, P. (2016). Energy management in industry – a systematic review of previous findings and an integrative conceptual framework. Journal of Cleaner Production, 112(5), 3692–3708. https://doi.org/10.1016/j.jclepro.2015.06.060
Teixeira, M.R., Mendes, P., Murt,a, E., & Nunes, L.M. (2016). Performance indicators matrix as a methodology for energy management in municipal water services. Journal of Cleaner Production, 125, 108–120. https://doi.org/10.1016/j.jclepro.2016.03.016
Ulubeyli, S. (2013). Drivers of Environmental Performance of Cement Plants. Industrial Management & Data Systems, 113(8), 1222–1244. https://doi.org/10.1108/IMDS-01-2013-0007
Vikhorev, K., Greenough, R., & Brown, N. (2012). An advanced energy management framework to promote energy awareness. Journal of Cleaner Production, 43, 103–112. https://doi.org/10.1016/j.jclepro.2012.12.012
Published
2021-08-31
How to Cite
Kirikova, E., & Kelchevskaya, N. (2021). Energy conservation culture and energy performance of industrial companies. Amazonia Investiga, 10(43), 150-157. https://doi.org/10.34069/AI/2021.43.07.15
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