Thematic Section - Future of Energy-efficient Operations and Production Systems

Energy efficiency decision-making in non-energy intensive industries: content and social network analysis

Jonatas Campos Martins; Maria Isabel Wolf Motta Morandi; Daniel Pacheco Lacerda; Barbara Pisoni Bender Andrade

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Paper aims: The present study aims to identify the limitations of the artifacts used in the decision-making process in the adoption of energy efficiency measures in productive systems, using non-intensive energy companies as a delimitation.

Originality: Identifies authors and connections, the relationships between them and how these interactions contribute to the advancement of knowledge on the subject. Regarding energy efficiency, studies show that the real investment in initiatives in the industrial sector is below the full potential and that the artifacts used in the decision-making process have severe limitations when used in a complex and dynamic context.

Research method: In this paper a systematic literature review was conducted from the Literature-Grounded Theory. Additionally, social network analysis was used.

Main findings: It concludes that the approaches are limited to technical and financial factors and does not consider a systemic and dynamic understanding of different internal and external variables to the organization.

Implications for theory and practice: The contribution of this study is that it identifies the initiatives that help in the process of decision-making for the adoption of energy efficiency measures in productive systems. Specifically, the focus of this study is on non-intensive energy companies. Scientific articles published in the main databases of management were selected.


Energy efficiency, Energy management, Decision support systems, Manufacturing industries


Adane, T. F., Nafisi, M., Asif, F. M. A., Semere, D. T., & Nicolescu, M. (2014). System dynamics analysis of energy usage: case studies in automotive manufacturing. International Journal of Manufacturing Research, 9(2), 131-156.

Adler, M. J., & van Doren, C. (2010). Como ler livros: o guia clássico para a leitura inteligente. É Realizações.

Alcorta, L., Bazilian, M., De Simone, G., & Pedersen, A. (2014). Return on investment from industrial energy efficiency: evidence from developing countries. Energy Efficiency, 7(1), 43-53.

Alkaraan, F. (2020). Strategic investment decision-making practices in large manufacturing companies: a role for emergent analysis techniques? Meditari Accountancy Research, 28, 633-653.

Andrei, M., Thollander, P., Pierre, I., Gindroz, B., & Rohdin, P. (2021). Decarbonization of industry: Guidelines towards a harmonized energy efficiency policy program impact evaluation methodology. Energy Reports, 7, 1385-1395.

Antunes, P., Carreira, P., & Silva, M. M. (2014). Towards an energy management maturity model. Energy Policy, 73, 803-814.

Aplak, H. S., & Sogut, M. Z. (2013). Game theory approach in decisional process of energy management for industrial sector. Energy Conversion and Management, 74, 70-80.

Bardin, L. (2015). Análise de conteúdo. São Paulo: Edições 70.

Bhanot, N., Rao, P. V., & Deshmukh, S. G. (2017). An integrated approach for analysing the enablers and barriers of sustainable manufacturing. Journal of Cleaner Production, 142(4), 4412-4439.

Boehner, J. (2015). Multi criteria decision making enhancing sustainable energy management. Applied Mechanics and Materials, 805, 32-37.

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.

Buccieri, G. P., Balestieri, J. A. P., & Matelli, J. A. (2020). Energy efficiency in Brazilian industrial plants: knowledge management and applications through an expert system. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42(11), 1-12.

Cagno, E., Neri, A., & Trianni, A. (2018). Broadening to sustainability the perspective of industrial decision-makers on the energy efficiency measures adoption: some empirical evidence. Energy Efficiency, 11, 1193-1210.

Cassettari, L., Bendato, I., Mosca, M., & Mosca, R. (2017). Energy Resources Intelligent Management using online real-time simulation: a decision support tool for sustainable manufacturing. Applied Energy, 190, 841-851.

Çoban, V., Onar, E., Oztaysi, B., & Kahraman, C. (2020). Energy management maturity model based on fuzzy probabilistic linguistic term sets. Journal of Multiple-Valued Logic & Soft Computing, 35(1-2), 217-237.

Cooremans, C. (2011). Make it strategic! Financial investment logic is not enough. Energy Efficiency, 4(4), 473-492.

Cooremans, C. (2012). Investment in energy efficiency: Do the characteristics of investments matter? Energy Efficiency, 5(4), 497-518.

Dong, J., & Huo, H. (2017). Identification of financing barriers to energy efficiency in small and medium-sized enterprises by integrating the fuzzy delphi and fuzzy DEMATEL approaches. Energies, 10(8), 1172.

Dresch, A., Lacerda, D., & Antunes Junior, J. (2015). Design science research: a method for science and technology advancement. Cham: Springer.

Ermel, A. P. C., Lacerda, D. P., Morandi, M. I. W. M., & Gauss, L. (2021). Literature reviews: modern methods for investigating scientific and technological knowledge. Cham: Springer.

Fenerich, F. C., Costa, S. G., & Lima, E. P. (2017). Energy efficiency in industrial environments: overview and research agenda. IEEE Latin America Transactions, 15(3), 415-422.

Finnerty, N., Sterling, R., Coakley, D., Contreras, S., Coffey, R., & Keane, M. M. (2017). Development of a Global Energy Management System for non-energy intensive multi-site industrial organisations: a methodology. Energy, 136, 16-31.

Fresner, J., Morea, F., Krenn, C., Aranda Uson, J., & Tomasi, F. (2017). Energy efficiency in small and medium enterprises: lessons learned from 280 energy audits across Europe. Journal of Cleaner Production, 142, 1650-1660.

Hasan, A. S. M. M., & Trianni, A. (2020). A review of energy management assessment models for industrial energy efficiency. Energies, 13(21), 5713.

Hasan, A. S. M. M., Hossain, R., Tuhin, R. A., Sakib, T. H., & Thollander, P. (2019). Empirical investigation of barriers and driving forces for efficient energy management practices in non-energy-intensive manufacturing industries of Bangladesh. Sustainability, 11(9), 2671.

Henriques, J., & Catarino, J. (2016). Motivating towards energy efficiency in small and medium enterprises. Journal of Cleaner Production, 139, 42-50.

Ho, W., & Ma, X. (2018). The state-of-the-art integrations and applications of the analytic hierarchy process. European Journal of Operational Research, 267(2), 399-414.

Horschig, T., & Thrän, D. (2017). Are decisions well supported for the energy transition? A review on modeling approaches for renewable energy policy evaluation. Energy, Sustainability and Society, 7(1), 5.

International Energy Agency – IEA. (2016). Energy efficiency market report. Paris: IEA.

Ionescu, C. V., & Darie, G. 2020. Energy Effectiveness-New Energy Performance Indicator to optimize the Industrial Energy Consumptions. In EPE 2020 - Proceedings of the 2020 11th International Conference and Exposition on Electrical And Power Engineering (pp. 462-465). Piscataway: Institute of Electrical and Electronics Engineers Inc.

Karlsson, M. (2011). The MIND method: a decision support for optimization of industrial energy systems: principles and case studies. Applied Energy, 88(3), 577-589.

Kim, K. T., Lee, D. J., Park, S. J., Zhang, Y., & Sultanov, A. (2015). Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis. Renewable & Sustainable Energy Reviews, 47, 694-702.

Knobloch, F., & Mercure, J. F. (2016). The behavioural aspect of green technology investments: a general positive model in the context of heterogeneous agents. Environmental Innovation and Societal Transitions, 21, 39-55.

König, W. (2020). Energy efficiency in industrial organizations: a cultural-institutional framework of decision making. Energy Research & Social Science, 60, 101314.

König, W., Löbbe, S., Büttner, S., & Schneider, C. (2020). Establishing energy efficiency⇔drivers for energy efficiency in german manufacturing small- and medium-sized enterprises. Energies, 13(19), 5144.

Lacerda, D. P., Dresch, A., Proença, A., Antunes Júnior, J., & Valle, J. A. (2013). Design Science Research: método de pesquisa para a engenharia de produção. Gestão & Produção, 20(4), 741-761.

Landini, C. L., & Sant’Ana, P. H. M. (2017). Technical, economic, and regulatory analysis of the implementation of micro-cogeneration technology in the Brazilian manufacturing sector. Energy Efficiency, 10(4), 957-971.

Lawrence, A., Thollander, P., Andrei, M., & Karlsson, M. (2019). Specific energy consumption/use (SEC) in energy management for improving energy efficiency in industry: meaning, usage and differences. Energies, 12(2), 247.

Li, T., Li, A., & Guo, X. (2020). The sustainable development-oriented development and utilization of renewable energy industry: a comprehensive analysis of MCDM methods. Energy, 212, 118694.

Lopes, J. R., Ávila, S., Kalid, R., & Rodríguez, J. L. M. (2018). Energy efficiency improvement in non-intensive energy enterprises: a framework proposal. Energies, 11(5), 1271.

Lung, R. B., Mckane, A., Leach, R. & Marsh, D. (2005). Ancillary savings and production benefits in the evaluation of industrial energy efficiency measures. In ACEEE Summer Study on Energy Efficiency in Industry (pp. 103-114). Washington: ACEEE.

Lyubchenko, V. Y., Iskhakov, A. F., & Pavlyuchenko, D. A. (2020). Rating of organization’s energy efficiency based on Harrington’s desirability function. In 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. Piscataway: Institute of Electrical and Electronics Engineers Inc.

Martins, J. C., Lacerda, D. P., Wolf Motta Morandi, M. I., Goldmeyer, D., & Piran, F. S. (2020). Systems dynamic modeling to analyze the systemic viability of the combined use of regenerative converters and energy storage in a UPS manufacturer. Journal of Cleaner Production, 246, 118950.

Martins, J. C., Morandi, M. I. W. M., & Lacerda, D. P. (2019). Estimating the long-term financial impact of solar microgeneration and energy efficiency for a brazilian medium-sized enterprise. IEEE Latin America Transactions, 17(10), 1607-1615.

Mawson, V. J., & Hughes, B. R. (2019). The development of modelling tools to improve energy efficiency in manufacturing processes and systems. Journal of Manufacturing Systems, 51, 95-105.

May, G., Barletta, I., Stahl, B., & Taisch, M. (2015). Energy management in production: a novel method to develop key performance indicators for improving energy efficiency. Applied Energy, 149, 46-61.

May, G., Stahl, B., Taisch, M., & Kiritsis, D. (2017). Energy management in manufacturing: from literature review to a conceptual framework. Journal of Cleaner Production, 167, 1464-1489.

Morandi, M. I. W. M., & Camargo, L. F. (2015). Revisão sistemática da literatura. In A. Dresch, D. P. Lacerda & J. A. V. Júnior Antunes (Eds.), Design Science Research: método de pesquisa para a engenharia de produção (pp. 141-175). Porto Alegre: Bookman.

Mozzato, A. R., & Grzybovski, D. (2011). Análise de conteúdo como técnica de análise de dados qualitativos no campo da administração: potencial e desafios. Revista de Administração Contemporânea, 15(4), 731-747.

Nehler, T., & Rasmussen, J. (2016). How do firms consider non-energy benefits? Empirical findings on energy-efficiency investments in Swedish industry. Journal of Cleaner Production, 113, 472-482.

Neri, A., Cagno, E., di Sebastiano, G., & Trianni, A. (2018). Industrial sustainability: modelling drivers and mechanisms with barriers. Journal of Cleaner Production, 194, 452-472.

Never, B. (2016). Behave and save? Behaviour, energy efficiency and performance of micro and small enterprises in Uganda. Energy Research & Social Science, 15, 34-44.

Olanrewaju, O. A., & Jimoh, A. A. (2014). Review of energy models to the development of an efficient industrial energy model. Renewable & Sustainable Energy Reviews, 30, 661-671.

Otte, E., & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441-453.

Palm, J., & Thollander, P. (2010). An interdisciplinary perspective on industrial energy efficiency. Applied Energy, 87(10), 3255-3261.

Palm, J., & Thollander, P. 2019. Reframing energy efficiency in industry: a discussion of definitions, rationales, and management practices. In M. Lopes, C. H. Antunes & K. B. Janda (Eds.), Energy and behaviour: towards a low carbon future (pp. 153-175). London: Elsevier.

Paramonova, S., & Thollander, P. (2016). Energy-efficiency networks for SMEs: learning from the Swedish experience. Renewable & Sustainable Energy Reviews, 65, 295-307.

Patterson, M. G. (1996). What is energy efficiency? Concepts, indicators and methodological issues. Energy Policy, 24(5), 377-390.

Perroni, M. G., Gouvea, S. E. C., Pinheiro, E. de L., & Silva, W. V. (2016). The relationship between enterprize efficiency in resource use and energy efficiency practices adoption. International Journal of Production Economics, 190, 108-119.

Piovezan, L. B., & Fujita, M. S. L. (2015). Análise de cocitação de autores: uma aplicação em estudos de indexação. Em Questão, 21(1), 110-129.

Pusnik, M., Al-Mansour, F., Sucic, B., & Gubina, A. F. (2016). Gap analysis of industrial energy management systems in Slovenia. Energy, 108, 41-49.

Rasmussen, J. (2017). The additional benefits of energy efficiency investments: a systematic literature review and a framework for categorisation. Energy Efficiency, 10(6), 1401-1418.

Reddy, B. S. (2013). Barriers and drivers to energy efficiency: a new taxonomical approach. Energy Conversion and Management, 74, 403-416.

Roemer, A. C., & Strassburger, S. (2019). Hybrid system modeling approach for the depiction of the energy consumption in production simulations. In Proceedings of the 2019 Winter Simulation Conference. New York: IEEE.

Rotzek, J. N., Scope, C., & Günther, E. (2018). What energy management practice can learn from research on energy culture? Sustainability accounting. Management and Policy Journal, 9(4), 515-551.

Sa, A., Thollander, P., & Rafiee, M. (2018). Industrial energy management systems and energy-related decision-making. Energies, 11(10), 2784.

Sáenz, J. P., Celik, N., Asfour, S., & Son, Y. J. (2012). Electric utility resource planning using Continuous-Discrete Modular Simulation and Optimization (CoDiMoSO). Computers & Industrial Engineering, 63(3), 671-694.

Sarkar, M., Kim, S., Jemai, J., Ganguly, B., & Sarkar, B. (2019). An application of time-dependent holding costs and system reliability in a multi-item sustainable economic energy efficient reliable manufacturing system. Energies, 12(15), 2857.

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, 3692-3708.

Schützenhofer, C. (2021). Overcoming the efficiency gap: energy management as a means for overcoming barriers to energy efficiency, empirical support in the case of Austrian large firms. Energy Efficiency, 14, 45.

Simeonovski, K., Kaftandzieva, T., & Brock, G. (2021). Energy efficiency management across EU countries: a DEA approach. Energies, 4(9), 2619.

Thollander, P., & Palm, J. (2015). Industrial energy management decision making for improved energy efficiency: strategic system perspectives and situated action in combination. Energies, 8(6), 5694-5703.

Trianni, A., Cagno, E., & De Donatis, A. (2014). A framework to characterize energy efficiency measures. Applied Energy, 118, 207-220.

Trianni, A., Cagno, E., & Neri, A. (2017). Modelling barriers to the adoption of industrial sustainability measures. Journal of Cleaner Production, 168, 1482-1504.

Trianni, A., Cagno, E., Bertolotti, M., Thollander, P., & Andersson, E. (2019). Energy management: a practice-based assessment model. Applied Energy, 235, 1614-1636.

Veit, D. R., Lacerda, D. P., Camargo, L. F. R., Kipper, L. M., & Dresch, A. (2017). Towards Mode 2 knowledge production. Business Process Management Journal, 23, 293-328.

Wang, Z., Xu, G., Lin, R., Wang, H., & Ren, J. (2019). Energy performance contracting, risk factors, and policy implications: Identification and analysis of risks based on the best-worst network method. Energy, 170, 1-13.

Wen, X., Cao, H., Hon, B., Chen, E., & Li, H. (2021). Energy value mapping: a novel lean method to integrate energy efficiency into production management. Energy, 217, 119353.

Zanardo, R. P., Siluk, J. C. M., Souza Savian, F., & Schneider, P. S. (2018). Energy audit model based on a performance evaluation system. Energy, 154, 544-552.

Zeng, M., Wang, G., Wang, H., Gao, Y., Guo, L., Zhang, J., & Zhang, H. (2015). Industrial system energy efficiency assessment using system dynamics. In Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications (Vol. 35, pp. 1299-1302). Dordrecht: Atlantis Press.

Zhu, S., Jiang, Z., Zhang, H., Tian, G., & Wang, Y. (2017). A carbon efficiency evaluation method for manufacturing process chain decision-making. Journal of Cleaner Production, 148, 665-680.

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