Analysis of corporate environmental reports using statistical techniques and data mining

Hdl Handle:
http://hdl.handle.net/10149/243787
Title:
Analysis of corporate environmental reports using statistical techniques and data mining
Authors:
Modapothala, J. R. (Jashua); Issac, B. (Biju)
Affiliation:
Swinburne University of Technology
Citation:
Modapothala, J.R. and Issac, B. (2009) 'Analysis of corporate environmental reports using statistical techniques and data mining', Communications of the IBIMA, 10(6), pp.32-38.
Publisher:
IBIMA Publishing
Journal:
Communications of the IBIMA
Issue Date:
2009
URI:
http://hdl.handle.net/10149/243787
Additional Links:
http://www.ibimapublishing.com/journals/CIBIMA/volume10/v10n6.pdf
Abstract:
Measuring the effectiveness of corporate environmental reports, it being highly qualitative and less regulated, is often considered as a daunting task. The task becomes more complex if comparisons are to be performed. This study is undertaken to overcome the physical verification problems by implementing data mining technique. It further explores on the effectiveness by performing exploratory analysis and structural equation model to bring out the significant linkages between the selected 10 variables. Samples of 539 reports across various countries are used from an international directory to perform the statistical analysis like – One way ANOVA (Analysis of Variance), MDA (Multivariate Discriminant Analysis) and SEM (Structural Equation Modeling). The results indicate the significant differences among the various types of industries in their environmental reporting, and the exploratory factors like stakeholder, organization strategy and industrial oriented factors, proved significant. The major accomplishment is that the findings correlate with the conceptual frame work of GRI.
Type:
Article
Language:
en
Keywords:
environmental report; GRI; statistical analysis; data mining; quantitative analysis
ISSN:
1943-7765
Rights:
Open Access journal [Accessed 13/09/2012].
Citation Count:
No citation information available on Web of Science or Scopus

Full metadata record

DC FieldValue Language
dc.contributor.authorModapothala, J. R. (Jashua)en_GB
dc.contributor.authorIssac, B. (Biju)en_GB
dc.date.accessioned2012-09-13T10:26:01Z-
dc.date.available2012-09-13T10:26:01Z-
dc.date.issued2009-
dc.identifier.citationCommunications of the IBIMA; 10(6): 32-38en_GB
dc.identifier.issn1943-7765-
dc.identifier.urihttp://hdl.handle.net/10149/243787-
dc.description.abstractMeasuring the effectiveness of corporate environmental reports, it being highly qualitative and less regulated, is often considered as a daunting task. The task becomes more complex if comparisons are to be performed. This study is undertaken to overcome the physical verification problems by implementing data mining technique. It further explores on the effectiveness by performing exploratory analysis and structural equation model to bring out the significant linkages between the selected 10 variables. Samples of 539 reports across various countries are used from an international directory to perform the statistical analysis like – One way ANOVA (Analysis of Variance), MDA (Multivariate Discriminant Analysis) and SEM (Structural Equation Modeling). The results indicate the significant differences among the various types of industries in their environmental reporting, and the exploratory factors like stakeholder, organization strategy and industrial oriented factors, proved significant. The major accomplishment is that the findings correlate with the conceptual frame work of GRI.en_GB
dc.language.isoenen
dc.publisherIBIMA Publishingen_GB
dc.relation.urlhttp://www.ibimapublishing.com/journals/CIBIMA/volume10/v10n6.pdfen_GB
dc.rightsOpen Access journal [Accessed 13/09/2012].en_GB
dc.subjectenvironmental reporten_GB
dc.subjectGRIen_GB
dc.subjectstatistical analysisen_GB
dc.subjectdata miningen_GB
dc.subjectquantitative analysisen_GB
dc.titleAnalysis of corporate environmental reports using statistical techniques and data miningen
dc.typeArticleen
dc.contributor.departmentSwinburne University of Technologyen_GB
dc.identifier.journalCommunications of the IBIMAen_GB
ref.citationcountNo citation information available on Web of Science or Scopusen_GB
or.citation.harvardModapothala, J.R. and Issac, B. (2009) 'Analysis of corporate environmental reports using statistical techniques and data mining', Communications of the IBIMA, 10(6), pp.32-38.en_GB
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