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Antecedents of employee electricity saving behavior in organizations: An empirical study based on norm activation model

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  • Yixiang Zhang
  • Zhaohua Wang
  • Guanghui Zhou

Abstract

China is one of the major energy-consuming countries, and is under great pressure to promote energy saving and reduce domestic energy consumption. Employees constitute an important target group for energy saving. However, only a few research efforts have been paid to study what drives employee energy saving behavior in organizations. To fill this gap, drawing on norm activation model (NAM), we built a research model to study antecedents of employee electricity saving behavior in organizations. The model was empirically tested using survey data collected from office workers in Beijing, China. Results show that personal norm positively influences employee electricity saving behavior. Organizational electricity saving climate negatively moderates the effect of personal norm on electricity saving behavior. Awareness of consequences, ascription of responsibility, and organizational electricity saving climate positively influence personal norm. Furthermore, awareness of consequences positively influences ascription of responsibility. This paper contributes to the energy saving behavior literature by building a theoretical model of employee electricity saving behavior which is understudied in the current literature. Based on the empirical results, implications on how to promote employee electricity saving are discussed.

Suggested Citation

  • Yixiang Zhang & Zhaohua Wang & Guanghui Zhou, 2011. "Antecedents of employee electricity saving behavior in organizations: An empirical study based on norm activation model," CEEP-BIT Working Papers 25, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:25
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    File URL: http://ceep.bit.edu.cn/docs/2018-10/20181011135056822114.pdf
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    Cited by:

    1. Peidong Sang & Haona Yao & Lin Zhang & Sen Wang & Yanjie Wang & Jinjian Liu, 2020. "Influencing factors of consumers’ willingness to purchase green housing: a survey from Shandong Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4267-4287, June.
    2. Paillé, Pascal & Raineri, Nicolas, 2015. "Linking perceived corporate environmental policies and employees eco-initiatives: The influence of perceived organizational support and psychological contract breach," Journal of Business Research, Elsevier, vol. 68(11), pages 2404-2411.
    3. Dong, Xiaoyang & Zhang, Bin & Wang, Bo & Wang, Zhaohua, 2020. "Urban households’ purchase intentions for pure electric vehicles under subsidy contexts in China: Do cost factors matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 183-197.
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    9. Wei-Ta Fang & Yi-Te Chiang & Eric Ng & Jen-Chieh Lo, 2019. "Using the Norm Activation Model to Predict the Pro-Environmental Behaviors of Public Servants at the Central and Local Governments in Taiwan," Sustainability, MDPI, Open Access Journal, vol. 11(13), pages 1-20, July.
    10. Verma, Vivek Kumar & Chandra, Bibhas & Kumar, Sumit, 2019. "Values and ascribed responsibility to predict consumers' attitude and concern towards green hotel visit intention," Journal of Business Research, Elsevier, vol. 96(C), pages 206-216.
    11. Li-Min Chuang & Pi-Ching Chen & Yen-Yu Chen, 2018. "The Determinant Factors of Travelers’ Choices for Pro-Environment Behavioral Intention-Integration Theory of Planned Behavior, Unified Theory of Acceptance, and Use of Technology 2 and Sustainability ," Sustainability, MDPI, Open Access Journal, vol. 10(6), pages 1-26, June.
    12. Karim Khan & Anwar Shah & Jaffar Khan, 2016. "Electricity Consumption Patterns: Comparative Evidence from Pakistan’s Public and Private Sectors," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 21(1), pages 99-122, Jan-June.
    13. Yang Chen, 2020. "An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB," Sustainability, MDPI, Open Access Journal, vol. 12(7), pages 1-19, March.
    14. Faiq Aziz* & Nomahaza Mahadi & Jihad Mohammad, 2018. "Employee Pro-Environmental Behaviour: A Systematic Review and Suggestions for Future Research," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 272-280:2.
    15. Ozawa-Meida, Leticia & Wilson, Caroline & Fleming, Paul & Stuart, Graeme & Holland, Carl, 2017. "Institutional, social and individual behavioural effects of energy feedback in public buildings across eleven European cities," Energy Policy, Elsevier, vol. 110(C), pages 222-233.
    16. Wang, Bo & Wang, Xiaomeng & Guo, Dongxue & Zhang, Bin & Wang, Zhaohua, 2018. "Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism?," Energy Policy, Elsevier, vol. 116(C), pages 68-77.
    17. Nieves García-de-Frutos & José Manuel Ortega-Egea & Javier Martínez-del-Río, 2018. "Anti-consumption for Environmental Sustainability: Conceptualization, Review, and Multilevel Research Directions," Journal of Business Ethics, Springer, vol. 148(2), pages 411-435, March.
    18. Akvile Cibinskiene & Daiva Dumciuviene & Meda Andrijauskiene, 2020. "Energy Consumption in Public Buildings: The Determinants of Occupants’ Behavior," Energies, MDPI, Open Access Journal, vol. 13(14), pages 1-23, July.
    19. Khosrowpour, Ardalan & Jain, Rishee K. & Taylor, John E. & Peschiera, Gabriel & Chen, Jiayu & Gulbinas, Rimas, 2018. "A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation," Applied Energy, Elsevier, vol. 218(C), pages 304-316.
    20. Zierler, Rupert & Wehrmeyer, Walter & Murphy, Richard, 2017. "The energy efficiency behaviour of individuals in large organisations: A case study of a major UK infrastructure operator," Energy Policy, Elsevier, vol. 104(C), pages 38-49.
    21. Guo, Zhifeng & Zhou, Kaile & Zhang, Chi & Lu, Xinhui & Chen, Wen & Yang, Shanlin, 2018. "Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 399-412.
    22. Zhang, Yixiang & Wei, Yimin & Zhou, Guanghui, 2018. "Promoting firms’ energy-saving behavior: The role of institutional pressures, top management support and financial slack," Energy Policy, Elsevier, vol. 115(C), pages 230-238.
    23. Han, Heesup, 2015. "Travelers' pro-environmental behavior in a green lodging context: Converging value-belief-norm theory and the theory of planned behavior," Tourism Management, Elsevier, vol. 47(C), pages 164-177.
    24. Mohammad Dalvi-Esfahani & Hamed Shahbazi & Mehrbakhsh Nilashi, 2019. "Moderating Effects of Demographics on Green Information System Adoption," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-24, February.

    More about this item

    Keywords

    Norm activation model; organizational electricity saving climate; electricity saving behavior;

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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