Assessing Corporate Environmental and Sustainability Reports Using Text Mining and Bayesian Estimate

Jashua Rajesh Modapothala, Biju Issac

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Measuring the effectiveness of Corporate Environmental Reports (CERs) is considered to be highly complex. This is due to the fact that they are highly qualitative, less regulated and more diverse in its representation. The performance indicators used in these reports play a vital role and enhance the ability of the stakeholder to perform rational decision-making. This study intends to assess the CERs over the specific performance indicators (organization, environmental and social) using text mining and relevant statistical techniques. A large sample (N=2171) is used for text mining that was implemented in Java, along with Bayesian estimation. The results indicate that the environmental and social performance indicators differ across the industry, where as, organization performance remains the same. Using Bayesian estimation it is found that the correlation between the selected variables and its estimates are highly significant.
Original languageEnglish
Title of host publicationSoftware Technology and Engineering
Subtitle of host publicationProceedings of the International Conference on ICSTE 2009
EditorsVenkatesh Mahadevan, Jianhong Zhou, Allan Ng
PublisherWorld Scientific
Number of pages5
ISBN (Electronic)9789814466219
ISBN (Print)9789814289979
Publication statusPublished - Jul 2009
Event2009 International Conference on Software Technology and Engineering - Chennai, India
Duration: 24 Jul 200926 Jul 2009


Conference2009 International Conference on Software Technology and Engineering
Abbreviated titleICSTE 2009

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