Godfrey, Linda KScott, DDifford, MTrois, C2012-12-112012-12-112012-06Godfrey, L.K. Scott, D, Difford, M and Trois, C. 2012. Part II: The effect of data on waste behaviour: The South African Waste Information System. Waste Management, Vol. 32 (11), pp 2163-21760956-053Xhttp://www.sciencedirect.com/science/article/pii/S0956053X12002279http://hdl.handle.net/10204/6402Copyright: 2012 Elsevier. This is the Pre/Post-print version of the work. The definitive version is published in the Journal of Waste Management, Vol. 32(11), pp 2163-2176Combining the process of learning and the theory of planned behaviour into a new theoretical framework provides an opportunity to explore the impact of data on waste behaviour, and consequently on waste management, in South Africa. Fitting the data to the theoretical framework shows that there are only three constructs which have a significant effect on behaviour, viz experience, knowledge, and perceived behavioural control (PBC). Knowledge has a significant influence on all three of the antecedents to behavioural intention (attitude, subjective norm and PBC). However, it is PBC, and not intention, that has the greatest influence on waste behaviour. While respondents may have an intention to act, this intention does not always manifest as actual waste behaviour, suggesting limited volitional control. The theoretical framework accounts for 53.7% of the variance in behaviour, suggesting significant external influences on behaviour not accounted for in the framework. While the theoretical model remains the same, respondents in public and private organisations represent two statistically significant sub-groups in the data set. The theoretical framework accounts for 47.8% of the variance in behaviour of respondents in public waste organisations and 57.6% of the variance in behaviour of respondents in private organisations. The results suggest that respondents in public and private waste organisations are subject to different structural forces that shape knowledge, intention, and resultant waste behaviour.enWaste behaviourTheory of planned behaviourWaste information systemsSouth African waste managementArticleGodfrey, L. K., Scott, D., Difford, M., & Trois, C. (2012). Part II – The effect of data on waste behaviour: The South African waste information system. http://hdl.handle.net/10204/6402Godfrey, Linda K, D Scott, M Difford, and C Trois "Part II – The effect of data on waste behaviour: The South African waste information system." (2012) http://hdl.handle.net/10204/6402Godfrey LK, Scott D, Difford M, Trois C. Part II – The effect of data on waste behaviour: The South African waste information system. 2012; http://hdl.handle.net/10204/6402.TY - Article AU - Godfrey, Linda K AU - Scott, D AU - Difford, M AU - Trois, C AB - Combining the process of learning and the theory of planned behaviour into a new theoretical framework provides an opportunity to explore the impact of data on waste behaviour, and consequently on waste management, in South Africa. Fitting the data to the theoretical framework shows that there are only three constructs which have a significant effect on behaviour, viz experience, knowledge, and perceived behavioural control (PBC). Knowledge has a significant influence on all three of the antecedents to behavioural intention (attitude, subjective norm and PBC). However, it is PBC, and not intention, that has the greatest influence on waste behaviour. While respondents may have an intention to act, this intention does not always manifest as actual waste behaviour, suggesting limited volitional control. The theoretical framework accounts for 53.7% of the variance in behaviour, suggesting significant external influences on behaviour not accounted for in the framework. While the theoretical model remains the same, respondents in public and private organisations represent two statistically significant sub-groups in the data set. The theoretical framework accounts for 47.8% of the variance in behaviour of respondents in public waste organisations and 57.6% of the variance in behaviour of respondents in private organisations. The results suggest that respondents in public and private waste organisations are subject to different structural forces that shape knowledge, intention, and resultant waste behaviour. DA - 2012-06 DB - ResearchSpace DP - CSIR KW - Waste behaviour KW - Theory of planned behaviour KW - Waste information systems KW - South African waste management LK - https://researchspace.csir.co.za PY - 2012 SM - 0956-053X T1 - Part II – The effect of data on waste behaviour: The South African waste information system TI - Part II – The effect of data on waste behaviour: The South African waste information system UR - http://hdl.handle.net/10204/6402 ER -