ResearchSpace

Part 1: The role of waste data in building knowledge: The South African waste information system

Show simple item record

dc.contributor.author Godfrey, Linda K
dc.contributor.author Scott, D
dc.contributor.author Difford, M
dc.contributor.author Trois, C
dc.date.accessioned 2012-12-06T07:03:54Z
dc.date.available 2012-12-06T07:03:54Z
dc.date.issued 2012-11
dc.identifier.citation Godfrey, L.K., Scott, D, Difford, M and Trois, C. 2012. Part 1: The role of waste data in building knowledge: The South African waste information system. Waste Management, Vol. 32(11), pp 2154-2162 en_US
dc.identifier.issn 0956-053X
dc.identifier.uri http://www.sciencedirect.com/science/article/pii/S0956053X12001833
dc.identifier.uri http://hdl.handle.net/10204/6401
dc.description Copyright: 2012 Elsevier. This is the pre-print version of the work. The definitive version is published in the Journal of Waste Management, Vol. 32(11), pp 2154-2162 en_US
dc.description.abstract An empirical study was undertaken with 31 organisations submitting data to the South African Waste Information System (SAWIS) in order to explore the relationship between data and resultant waste knowledge generated through a process of learning. The results show that of the three constructs of knowledge (experience, data/information, and theory), experience has the greatest influence on building waste knowledge, nearly twice that of data/information and three times that of theory. Together the three constructs account for 54.1% of the variance in knowledge. Respondents from municipalities and private waste organisations reflect two distinct sub-groups in the data set. While the theoretical model remains the same for the two sub-groups, the way in which knowledge is constructed, and the variance in knowledge explained by the model, differs for the two. A mixed methods research design, combining quantitative statistical analysis and rich qualitative data, contributes to a comprehensive interpretation of the role of waste data in building knowledge in South Africa. While waste data has a minor influence on building knowledge, respondents acknowledge that waste data does have a positive impact on the way their organisations manage waste. However, it is not the data, but rather the resultant waste knowledge and raised level of awareness that causes the operational response. Experience is obtained predominantly through learning from others. Respondents in municipalities, emphasised learning from consultants, landfill site contractors, and colleagues in city-twinning programmes, while respondents in private waste companies, emphasised learning from experienced, senior colleagues. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Workflow;9875
dc.subject Waste knowledge en_US
dc.subject Waste information system en_US
dc.subject Waste data en_US
dc.subject Process of learning en_US
dc.title Part 1: The role of waste data in building knowledge: 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 1: The role of waste data in building knowledge: The South African waste information system. http://hdl.handle.net/10204/6401 en_ZA
dc.identifier.chicagocitation Godfrey, Linda K, D Scott, M Difford, and C Trois "Part 1: The role of waste data in building knowledge: The South African waste information system." (2012) http://hdl.handle.net/10204/6401 en_ZA
dc.identifier.vancouvercitation Godfrey LK, Scott D, Difford M, Trois C. Part 1: The role of waste data in building knowledge: The South African waste information system. 2012; http://hdl.handle.net/10204/6401. en_ZA
dc.identifier.ris TY - Article AU - Godfrey, Linda K AU - Scott, D AU - Difford, M AU - Trois, C AB - An empirical study was undertaken with 31 organisations submitting data to the South African Waste Information System (SAWIS) in order to explore the relationship between data and resultant waste knowledge generated through a process of learning. The results show that of the three constructs of knowledge (experience, data/information, and theory), experience has the greatest influence on building waste knowledge, nearly twice that of data/information and three times that of theory. Together the three constructs account for 54.1% of the variance in knowledge. Respondents from municipalities and private waste organisations reflect two distinct sub-groups in the data set. While the theoretical model remains the same for the two sub-groups, the way in which knowledge is constructed, and the variance in knowledge explained by the model, differs for the two. A mixed methods research design, combining quantitative statistical analysis and rich qualitative data, contributes to a comprehensive interpretation of the role of waste data in building knowledge in South Africa. While waste data has a minor influence on building knowledge, respondents acknowledge that waste data does have a positive impact on the way their organisations manage waste. However, it is not the data, but rather the resultant waste knowledge and raised level of awareness that causes the operational response. Experience is obtained predominantly through learning from others. Respondents in municipalities, emphasised learning from consultants, landfill site contractors, and colleagues in city-twinning programmes, while respondents in private waste companies, emphasised learning from experienced, senior colleagues. DA - 2012-11 DB - ResearchSpace DP - CSIR KW - Waste knowledge KW - Waste information system KW - Waste data KW - Process of learning LK - https://researchspace.csir.co.za PY - 2012 SM - 0956-053X T1 - Part 1: The role of waste data in building knowledge: The South African waste information system TI - Part 1: The role of waste data in building knowledge: The South African waste information system UR - http://hdl.handle.net/10204/6401 ER - en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record