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Part II – The effect of data on waste behaviour: The South African waste information system

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dc.contributor.author Godfrey, Linda K
dc.contributor.author Scott, D
dc.contributor.author Difford, M
dc.contributor.author Trois, C
dc.date.accessioned 2012-12-11T09:19:57Z
dc.date.available 2012-12-11T09:19:57Z
dc.date.issued 2012-06
dc.identifier.citation Godfrey, 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 2163-2176 en_US
dc.identifier.issn 0956-053X
dc.identifier.uri http://www.sciencedirect.com/science/article/pii/S0956053X12002279
dc.identifier.uri http://hdl.handle.net/10204/6402
dc.description Copyright: 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 2163-2176 en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Workflow;9877
dc.subject Waste behaviour en_US
dc.subject Theory of planned behaviour en_US
dc.subject Waste information systems en_US
dc.subject South African waste management en_US
dc.title Part II – The effect of data on waste behaviour: The South African waste information system en_US
dc.type Article en_US
dc.identifier.apacitation Godfrey, 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/10204/6402 en_ZA
dc.identifier.chicagocitation Godfrey, 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/10204/6402 en_ZA
dc.identifier.vancouvercitation Godfrey 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. en_ZA
dc.identifier.ris 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 - en_ZA


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