An application of TPB constructs on energy-saving behavioural intention among university office building occupants: a pilot study in Malaysian tropical climate

  • U. H. ObaidellahEmail author
  • M. Danaee
  • M. A. A. Mamun
  • M. Hasanuzzaman
  • N. A. Rahim


Buildings account for a vast amount of energy consumption in Malaysia. Occupant behaviour patterns are a major factor affecting the energy performance of buildings. Identifying energy waste due to occupant behaviour will allow stakeholders to develop effective strategies to curtail energy consumption in buildings. The purpose of this study was to investigate the effects of theory of planned behaviour constructs on energy-saving behavioural intention among university building occupants. Data from a survey questionnaire was collected from 292 occupants (students and staff) at one case study building at a public university in Malaysia. Data analysed using the structural equation model showed that attitude and perception significantly influence occupants’ energy-saving behaviour. Our results indicate that respondents showed moderate behaviour on three sub-constructs: duration of equipment use, frequency of equipment use, and energy saving practice. The current pilot study provides a basis for an improved theoretical framework that considers other variables to be applied in a larger scale study. The implications for behaviour models in terms of policy recommendations and suggestions for occupant engagement campaigns are discussed.


Energy Occupant behaviour Occupancy model University office buildings Theory of planned behaviour 



The authors would like to gratefully acknowledge the financial support of the University Malaya Research Grant (UMRG) scheme (Project No: LL012 15SUS) to carry out the present study. A special thank you is conveyed to the Academic Development Centre, University Malaya for providing the statistical support and guidance for the work.


  1. Abrahamse, W., & Steg, L. (2011). Factors related to household energy use and intention to reduce it: The role of psychological and socio-demographic variables. Human Ecology Review, 18(1), 31.Google Scholar
  2. Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25, 273–291.Google Scholar
  3. Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2007). The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviours, and behavioural antecedents. Journal of Environmental Psychology, 27, 265–276.Google Scholar
  4. Ajzen, I. (1985). From intentions to actions: A theory of planned behaviour. In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to behaviour. Heidelberg: Springer.Google Scholar
  5. Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50, 179–211.Google Scholar
  6. Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behaviour. The Handbook of Attitudes, 173(221), 31.Google Scholar
  7. Ajzen, I., Joyce, N., Sheikh, S., & Cote, N. G. (2011). Knowledge and the prediction of behaviour: The role of information accuracy in the theory of planned behaviour. Basic and Applied Social Psychology, 33(2), 101–117.Google Scholar
  8. Ajzen, I., & Madden, T. J. (1986). Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control. Journal of Experimental Social Psychology, 15, 173–189.Google Scholar
  9. Allcott, H. (2011). Consumers’ perceptions and misperceptions of energy costs. The American Economic Review, 101(3), 98–104.Google Scholar
  10. Al-Marri, W., Al-Habaibeh, A., & Abdo, H. (2017). Exploring the relationship between energy cost and people’s consumption behaviour. Energy Procedia, 105, 3464–3470.Google Scholar
  11. Attari, S. Z., DeKay, M. L., Davidson, C. I., & De Bruin, W. B. (2010). Public perceptions of energy consumption and savings. Proceedings of the National Academy of Sciences, 107(37), 16054–16059.Google Scholar
  12. Axsen, J., & Kurani, K. S. (2012). Social influence, consumer behaviour, and low-carbon energy transitions. Annual Review of Environment and Resources, 37, 311–340.Google Scholar
  13. Barbu, A., Griffiths, N., & Morton, G. (2013). Achieving energy efficiency through behaviour change: what does it take. European Environment Agency-Copenhagen: Publications Office of the European Union. Retrieved from Accessed 25 Apr 2018.
  14. Becker, L. J., Seligman, C., & Darley, J. M. (1979). Psychological strategies to reduce energy consumption: Project summary report (No. COO-2789-3). Princeton University, NJ: Center for Energy and Environmental Studies.Google Scholar
  15. Bonini, S., & Görner, S. (2011). McKinsey global survey results: The business of sustainability. New York, NY: McKinsey & Co.Google Scholar
  16. Chan, D. (2009). So why ask me? Are self-report data really that bad. In Statistical and methodological myths and urban legends: Doctrine, verity and fable in the organizational and social sciences (pp 309–336).Google Scholar
  17. Chang, W. K., & Hong, T. (2013). Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data. Building Simulation, 6(1), 23–32.Google Scholar
  18. Coleman, M. J., Irvine, K. N., Lemon, M., & Shao, L. (2013). Promoting behaviour change through personalized energy feedback in offices. Building Research and Information, 41(6), 637–651.Google Scholar
  19. Colmenar-Santos, A., de Lober, L. N. T., Borge-Diez, D., & Castro-Gil, M. (2013). Solutions to reduce energy consumption in the management of large buildings. Energy and Buildings, 56, 66–77.Google Scholar
  20. Davis, L. W., & Gertler, P. J. (2015). Contribution of air conditioning adoption to future energy use under global warming. Proceedings of the National Academy of Sciences, 112(19), 5962–5967.Google Scholar
  21. Dianshu, F., Sovacool, B. K., & Vu, K. M. (2010). The barriers to energy efficiency in China: Assessing household electricity savings and consumer behaviour in Liaoning Province. Energy Policy, 38(2), 1202–1209.Google Scholar
  22. Dietz, T., Gardner, G. T., Gilligan, J., Stern, P. C., & Vandenbergh, M. P. (2009). Household actions can provide a behavioural wedge to rapidly reduce US carbon emissions. Proceedings of the National Academy of Sciences, 106(44), 18452–18456.Google Scholar
  23. DoE (1995). Energy efficient refurbishment of public houses-lighting, good practice: Guide 152. Department of Environment, UK.Google Scholar
  24. DoE, U. S. (2008). Energy efficiency trends in residential and commercial buildings. US Department of Energy, Washington, DC. Accessed 10 Nov. 2016.
  25. DoE, U. S. (2012). Strategic sustainability performance plan. United States Department of Energy Washington, DC. Accessed 08 Dec. 2016.
  26. Dwyer, W. O., Leeming, F. C., Cobern, M. K., Porter, B. E., & Jackson, J. M. (1993). Critical review of behavioural interventions to preserve the environment: Research since 1980. Environment and Behaviour, 25(5), 275–321.Google Scholar
  27. Fabi, V., Andersen, R. V., Corgnati, S., & Olesen, B. W. (2012). Occupants’ window opening behaviour: A literature review of factors influencing occupant behaviour and models. Building and Environment, 58, 188–198.Google Scholar
  28. Feiler, D. C., & Soll, J. B. (2010). A blind spot in driving decisions: How neglecting costs puts us in overdrive. Climatic Change, 98(1–2), 285.Google Scholar
  29. Gaspar, R., & Antunes, D. (2011). Energy efficiency and appliance purchases in Europe: Consumer profiles and choice determinants. Energy Policy, 39(11), 7335–7346.Google Scholar
  30. Gatersleben, B., Steg, L., & Vlek, C. (2002). Measurement and determinants of environmentally significant consumer behavior. Environment and Behavior, 34, 335–362.Google Scholar
  31. Geller, E. (1981). Evaluating Energy Conservation Programs: Is Verbal Report Enough? Journal of Consumer Research, 8(3), 331–335.Google Scholar
  32. Gram-Hanssen, K. (2004). Domestic electricity consumption. Consumers and appliances. In: Nordic conference on environmental social sciences (NESS). June, Turku/Åbo.Google Scholar
  33. Greaves, M., Zibarras, L. D., & Stride, C. (2013). Using the theory of planned behaviour to explore environmental behavioural intentions in the workplace. Journal of Environmental Psychology, 34, 109–120.Google Scholar
  34. Greening, L. A., Greene, D. L., & Difiglio, C. (2000). Energy efficiency and consumption—the rebound effect—a survey. Energy Policy, 28(6–7), 389–401.Google Scholar
  35. Hair, J. F., Jr., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage Publications.Google Scholar
  36. Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long Range Planning, 45(5), 320–340. Scholar
  37. Halfawy, M., & Froese, T. (2005). Building integrated architecture/engineering/construction systems using smart objects: Methodology and implementation. Journal of Computing in Civil Engineering, 19(2), 172–181.Google Scholar
  38. Handgraaf, M. J., de Jeude, M. A. V. L., & Appelt, K. C. (2013). Public praise vs. private pay: Effects of rewards on energy conservation in the workplace. Ecological Economics, 86, 86–92.Google Scholar
  39. Harland, P., Staats, H., & Wilke, H. A. (1999). Explaining proenvironmental intention and behaviour by personal norms and the theory of planned behaviour. Journal of Applied Social Psychology, 29(12), 2505–2528.Google Scholar
  40. Hassan, J. S., Zin, R. M., Majid, M. A., Balubaid, S., & Hainin, M. R. (2014). Building energy consumption in Malaysia: An overview. Jurnal Teknologi, 70, 33–38.Google Scholar
  41. Hong, T. (2014). Occupant behaviour: Impact on energy use of private offices. In ASim 2012-1st Asia conference of international building performance simulation association. Shanghai, China, 11/25/12-11/27/12.Google Scholar
  42. Hong, T., Taylor-Lange, S. C., D’Oca, S., Yan, D., & Corgnati, S. P. (2016). Advances in research and applications of energy-related occupant behaviour in buildings. Energy and Buildings, 116, 694–702.Google Scholar
  43. i Pallardó, G. G. (2011). Energy consumption in tertiary buildings in Sweden (pp. 36–45). Sweden: Lund University.Google Scholar
  44. International Energy Agency. (2017). World energy outlook (WEO). Paris: Organisation for Economic Co-operation and Development.Google Scholar
  45. Islam, F., Shahbaz, M., Ahmed, A. U., & Alam, M. M. (2013). Financial development and energy consumption nexus in Malaysia: A multivariate time series analysis. Economic Modelling, 30, 435–441.Google Scholar
  46. Jazizadeh, F., Kavulya, G., Kwak, J., Becerik-Gerber, B., Tambe, M., & Wood, W. (2012). Human-building interaction for energy conservation in office buildings. In: Proceedings of the construction research congress (pp. 1830–1839).Google Scholar
  47. Kamaruzzaman, S. N., Ali, A. S., Abdul-Samad, Z., & Zawawi, E. M. (2009). Energy performance of electrical support facilities: The case of adaptive re-used historical buildings in Malaysia. International Journal of Physical Sciences, 4(12), 752–757.Google Scholar
  48. Khan, I., & Halder, P. K. (2016). Electrical energy conservation through human behaviour change: Perspective in Bangladesh. International Journal of Renewable Energy Research (IJRER), 6(1), 43–52.Google Scholar
  49. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: The Guilford Press.Google Scholar
  50. Kollmuss, A., & Agyeman, J. (2002). Mind the gap: Why do people act environmentally and what are the barriers to pro-environmental behaviour? Environmental Education Research, 8(3), 239–260.Google Scholar
  51. Kulkarni, A. S., Welch, K. C., & Harnett, C. K. (2011). A review of electricity monitoring and feedback systems. In: Southeastcon, 2011 proceedings of IEEE (pp. 321–326). IEEE.Google Scholar
  52. Kwong, Q. J., Adam, N. M., & Sahari, B. B. (2014). Thermal comfort assessment and potential for energy efficiency enhancement in modern tropical buildings: A review. Energy and Buildings, 68, 547–557.Google Scholar
  53. Lam, J. C., Wan, K. K., & Yang, L. (2008). Sensitivity analysis and energy conservation measures implications. Energy Conversion and Management, 49(11), 3170–3177.Google Scholar
  54. Lee, J. W. C., & Tanusia, A. (2016). Energy conservation behavioural intention: Attitudes, subjective norm and self-efficacy. In IOP conference series: Earth and environmental science (Vol. 40, No. 1, p. 012087). IOP Publishing.Google Scholar
  55. Lesic, V., de Bruin, W. B., Davis, M. C., Krishnamurti, T., & Azevedo, I. M. (2018). Consumers’ perceptions of energy use and energy savings: A literature review. Environmental Research Letters, 13(3), 033004.Google Scholar
  56. Leygue, C., Ferguson, E., & Spence, A. (2017). Saving energy in the workplace: Why, and for whom? Journal of Environmental Psychology, 53, 50–62.Google Scholar
  57. Lokhorst, A. M., Staats, H., & Van Iterson, J. (2015). Energy saving in office buildings: Are feedback and commitment-making useful instruments to trigger change? Human Ecology, 43(5), 759–768.Google Scholar
  58. Lopes, M. A. R., Antunes, C. H., & Martins, N. (2012). Energy behaviours as promoters of energy efficiency: A 21st century review. Renewable and Sustainable Energy Reviews, 16(6), 4095–4104.Google Scholar
  59. Lynch, D., & Martin, P. (2010). How energy efficiency programs influence energy use: an application of the theory of planned behaviour. In European council for an energy efficient economy summer study (pp. 2037–2048).Google Scholar
  60. Martiskainen, M. (2007) Affecting consumer behaviour on energy demand. In Final report to EdF energy, sussex energy group SPRU - science and technology policy research. University of Sussex.Google Scholar
  61. McMakin, A. H., Malone, E. L., & Lundgren, R. E. (2002). Motivating residents to conserve energy without financial incentives. Environment and Behaviour, 34(6), 848–863.Google Scholar
  62. Ministry of Energy, Green Technology & Water (KeTTHA) Malaysia, National Energy Efficiency Action Plan (NEEAP). (2017).
  63. Morant, M. (2012). CEW1005: The performance gap: Non domestic building: Final report. In Cardiff.Google Scholar
  64. Murtagh, N., Nati, M., Headley, W. R., Gatersleben, B., Gluhak, A., Imran, M. A., et al. (2013). Individual energy use and feedback in an office setting: A field trial. Energy Policy, 62, 717–728.Google Scholar
  65. Mustafa, N. H., Husain, M. N., Aziz, M. A., Othman, M. A., & Malek, F. (2014). A survey on human behaviour towards energy efficiency for office worker in malaysia. In Journal of physics: Conference series (Vol. 495, No. 1, p. 012030). IOP Publishing.Google Scholar
  66. Nicol, J. F. (2001). Characterising occupant behaviour in buildings: towards a stochastic model of occupant use of windows, lights, blinds, heaters and fans. In Proceedings of the seventh international IBPSA conference, Rio (Vol. 2, pp. 1073–1078).Google Scholar
  67. Palmborg, C. (1986). Social habits and energy consumption in single-family homes. Energy, 11(7), 643–650.Google Scholar
  68. Parsons, K. C. (2002). The effects of gender, acclimation state, the opportunity to adjust clothing and physical disability on requirements for thermal comfort. Energy and Buildings, 34(6), 593–599.Google Scholar
  69. Perez-Lombarda, L., Ortiz, J., & Pout, C. (2008). A review on buildings energy consumption information. Energy and Buildings, 40(3), 394–398. Scholar
  70. Petersen, J. E., Shunturov, V., Janda, K., Platt, G., & Weinberger, K. (2007). Dormitory residents reduce electricity consumption when exposed to real-time visual feedback and incentives. International Journal of Sustainability in Higher Education, 8(1), 16–33.Google Scholar
  71. Poortinga, W., Steg, L., Vlek, C., & Wiersma, G. (2003). Household preferences for energy-saving measures: A conjoint analysis. Journal of Economic Psychology, 24(1), 49–64.Google Scholar
  72. Sadrzadehrafiei, S., Mat, K. S. S., & Lim, C. (2011). Energy consumption and energy saving in Malaysian office buildings. Models and Methods in Applied Sciences, 75, 1392–1403.Google Scholar
  73. Sahakian, M. (2014). Energy consumption and cooling in Southeast Asia. In Keeping cool in Southeast Asia (pp. 27–60). Palgrave Macmillan, London.Google Scholar
  74. Saidur, R. (2009). Energy consumption, energy savings, and emission analysis in Malaysian office buildings. Energy Policy, 37(10), 4104–4113.Google Scholar
  75. Sanchez, G. (2013). PLS path modeling with R. Berkeley: Trowchez Editions.Google Scholar
  76. Santin, O. G. (2011). Behavioural patterns and user profiles related to energy consumption for heating. Energy and Buildings, 43(10), 2662–2672.Google Scholar
  77. Scherbaum, C. A., Popovich, P. M., & Finlinson, S. (2008). Exploring individual-level factors related to employee energy-conservation behaviour at work. Journal of Applied Social Psychology, 38(3), 818–835.Google Scholar
  78. Seligman, C., & Darley, J. M. (1977). Feedback as a means of decreasing residential energy consumption. Journal of Applied Psychology, 62(4), 363–368.Google Scholar
  79. Shetty, S. S., Chinh, H. D., & Panda, S. K. (2015). Strategies for thermal comfort improvement and energy savings in existing office buildings using occupant feedback. In Building efficiency and sustainable technologies, 2015 IEEE international conference on (pp. 23–27). IEEE.Google Scholar
  80. Siero, F. W., Bakker, A. B., Dekker, G. B., & Van Den Burg, M. T. (1996). Changing organizational energy consumption behaviour through comparative feedback. Journal of Environmental Psychology, 16(3), 235–246.Google Scholar
  81. Sivak, M. (2013). Will air conditioning put a chill on the global energy supply? American Scientist, 101(5), 330–333.Google Scholar
  82. Staats, H., Van Leeuwen, E., & Wit, A. (2000). A longitudinal study of informational interventions to save energy in an office building. Journal of Applied Behavior Analysis, 33, 101–104.Google Scholar
  83. Staddon, S. C., Cycil, C., Goulden, M., Leygue, C., & Spence, A. (2016). Intervening to change behaviour and save energy in the workplace: A systematic review of available evidence. Energy Research and Social Science, 17, 30–51.Google Scholar
  84. Stern, P. C. (1992). What psychology knows about energy conservation. American Psychologist, 47(10), 1224.Google Scholar
  85. Taufiq, B. N., Masjuki, H. H., Mahlia, T. M. I., Amalina, M. A., Faizul, M. S., & Saidur, R. (2007). Exergy analysis of evaporative cooling for reducing energy use in a Malaysian building. Desalination, 209(1–3), 238–243.Google Scholar
  86. The Ove Arup Partnership. (1980). Building design for energy economy. Lancaster: The Construction Press.Google Scholar
  87. Wang, Z., Zhang, B., & Li, G. (2014). Determinants of energy-saving behavioural intention among residents in Beijing: Extending the theory of planned behaviour. Journal of Renewable and Sustainable Energy, 6(5), 053127.Google Scholar
  88. Wells, V. K., Taheri, B., Gregory-Smith, D., & Manika, D. (2016). The role of generativity and attitudes on employees home and workplace water and energy saving behaviours. Tourism Management, 56, 63–74.Google Scholar
  89. Yang, L., Lam, J. C., & Tsang, C. L. (2008). Energy performance of building envelopes in different climate zones in China. Applied Energy, 85(9), 800–817.Google Scholar

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Authors and Affiliations

  1. 1.Department of Artificial Intelligence, Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia
  2. 2.UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&DUniversity of MalayaKuala LumpurMalaysia
  3. 3.Academic Enhancement and Leadership Development Centre (ADEC)University of MalayaKuala LumpurMalaysia

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