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The study aims to investigate the energy conservation behaviour of owners and managers of small hospitality firms by incorporating social norms into an extended Value-Belief-Norm (VBN) model. In addition, the study examines the mediating effects of causal chain of the VBN model in the context of energy conservation behaviour. The world faces serious environmental challenges such as loss of biodiversity, pollution, depletion of natural resources and global warming. One of the causes of these environmental challenges is the production and consumption of energy by households and firms. The hospitality sector uses a significant amount of energy in its operation leading to negative environmental impacts. Reducing energy use will improve environmental and financial sustainability of hospitality firms. Energy conservation behaviour is one of the significant ways to reduce energy consumption.  The study adopts the survey method for data collection and the respondents are conveniently sampled. The Partial Least Square Structural Equation Modelling is used for data analysis. Based on a dataset of 360 respondents, the study finds that the extended VBM model that includes social norms is applicable in explaining the energy conservation behaviour of owners/managers of small hospitality firms. The mediating effects of the causal chain of the VBN model are significant. The theoretical implication is the applicability of an extended VBN model that includes social norms to predict energy conservation behaviour. Recommendations on how to improve energy conservation behaviour include improving the level of awareness of ecological problems caused by energy consumption. The study aims to investigate the energy conservation behaviour of owners and managers of small hospitality firms by incorporating social norms into an extended Value-Belief-Norm (VBN) model. In addition, the study examines the mediating effects of causal chain of the VBN model in the context of energy conservation behaviour. The world faces serious environmental challenges such as loss of biodiversity, pollution, depletion of natural resources and global warming. One of the causes of these environmental challenges is the production and consumption of energy by households and firms. The hospitality sector uses a significant amount of energy in its operation leading to negative environmental impacts. Reducing energy use will improve environmental and financial sustainability of hospitality firms. Energy conservation behaviour is one of the significant ways to reduce energy consumption.  The study adopts the survey method for data collection and the respondents are conveniently sampled. The Partial Least Square Structural Equation Modelling is used for data analysis. Based on a dataset of 360 respondents, the study finds that the extended VBM model that includes social norms is applicable in explaining the energy conservation behaviour of owners/managers of small hospitality firms. The mediating effects of the causal chain of the VBN model are significant. The theoretical implication is the applicability of an extended VBN model that includes social norms to predict energy conservation behaviour. Recommendations on how to improve energy conservation behaviour include improving the level of awareness of ecological problems caused by energy consumption.

While economic incentives, technical developments, and government policies and regulations can all contribute to reduce residential water use, householders, on the other hand, can also help lessen overall water demands by using less water. In this study, we look at how to modify people's behaviour to conserve water at home. Using the theory of reasoned action which suggest human behaviour is a construct of subjective norms, and attitude, this study aimed to identify the factors that influences water conservation behaviour in low-income households in South Africa South Africa.   The study focused on the Waterloo Township, which is located north of Durban in KwaZulu-Natal. This study followed a positive paradigm and employed a descriptive cross-sectional research design and a quantitative survey design with a sample of (n=305). Both descriptive and inferential analysis was used to analyze and present the data. Path analysis using regression coefficient was performed to establish the factors that predict water conservation behaviour. The results suggest that although the knowledge of water conservation was high among the respondents, there was however a negative gap difference (-20.3) between their knowledge (94.4%) and actual behaviour (74.1%) towards water saving techniques.  The regression analysis conducted revealed that subject norms were the strongest predictor towards water conservation intentions in the Waterloo LCH.  This conclusively suggest that the conceptualisation of water conservation behaviour as a function of attitude and subjective norm may be appropriate in the context of the low-cost housing areas within South Africa.