Evaluation of corporate environmental reports using data mining approach

Jashua Rajesh Modapothala; Biju Issac

doi:10.1109/ICCET.2009.134

Evaluation of corporate environmental reports using data mining approach

Jashua Rajesh Modapothala, Biju Issac

Computer Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Citations (Scopus)

Abstract

Growing importance in corporate environmental reporting has undermined the metrics for its examination. Any such metrics are useful in measuring the effectiveness of reports. The main aim of the study in this paper is to examine and analyze the corporate environmental reports (N=539) using data mining approach. The assessment technique implemented in this study is in line with Global Reporting Initiative (GRI) disclosures. Our findings show that the data mining approach is a reliable and robust measurement. Further findings suggest that reports addressing the criteria differ from the nature of business. The study reveals the growing importance of addressing the various stakeholder groups, industrial base approach and organizational strategies in sustainable reporting.

Original language	English
Title of host publication	Proceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009
Publisher	IEEE
Pages	543-547
Number of pages	5
Volume	2
ISBN (Print)	9780769535210
DOIs	https://doi.org/10.1109/ICCET.2009.134
Publication status	Published - 2 Feb 2009
Event	2009 International Conference on Computer Engineering and Technology, ICCET 2009 - Singapore, Singapore Duration: 22 Jan 2009 → 24 Jan 2009

Conference

Conference	2009 International Conference on Computer Engineering and Technology, ICCET 2009
Country/Territory	Singapore
City	Singapore
Period	22/01/09 → 24/01/09

Keywords

Data mining
Environmental reports
GRI
Sustainability reporting

Access to Document

10.1109/ICCET.2009.134

Cite this

@inproceedings{f19e6e4b97fe4bc6add94ae884f9b33d,

title = "Evaluation of corporate environmental reports using data mining approach",

abstract = "Growing importance in corporate environmental reporting has undermined the metrics for its examination. Any such metrics are useful in measuring the effectiveness of reports. The main aim of the study in this paper is to examine and analyze the corporate environmental reports (N=539) using data mining approach. The assessment technique implemented in this study is in line with Global Reporting Initiative (GRI) disclosures. Our findings show that the data mining approach is a reliable and robust measurement. Further findings suggest that reports addressing the criteria differ from the nature of business. The study reveals the growing importance of addressing the various stakeholder groups, industrial base approach and organizational strategies in sustainable reporting.",

keywords = "Data mining, Environmental reports, GRI, Sustainability reporting",

author = "Modapothala, {Jashua Rajesh} and Biju Issac",

year = "2009",

month = feb,

day = "2",

doi = "10.1109/ICCET.2009.134",

language = "English",

isbn = "9780769535210",

volume = "2",

pages = "543--547",

booktitle = "Proceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009",

publisher = "IEEE",

address = "United States",

note = "2009 International Conference on Computer Engineering and Technology, ICCET 2009 ; Conference date: 22-01-2009 Through 24-01-2009",

}

Modapothala, JR & Issac, B 2009, Evaluation of corporate environmental reports using data mining approach. in Proceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009. vol. 2, 4769662, IEEE, pp. 543-547, 2009 International Conference on Computer Engineering and Technology, ICCET 2009, Singapore, Singapore, 22/01/09. https://doi.org/10.1109/ICCET.2009.134

TY - GEN

T1 - Evaluation of corporate environmental reports using data mining approach

AU - Modapothala, Jashua Rajesh

AU - Issac, Biju

PY - 2009/2/2

Y1 - 2009/2/2

N2 - Growing importance in corporate environmental reporting has undermined the metrics for its examination. Any such metrics are useful in measuring the effectiveness of reports. The main aim of the study in this paper is to examine and analyze the corporate environmental reports (N=539) using data mining approach. The assessment technique implemented in this study is in line with Global Reporting Initiative (GRI) disclosures. Our findings show that the data mining approach is a reliable and robust measurement. Further findings suggest that reports addressing the criteria differ from the nature of business. The study reveals the growing importance of addressing the various stakeholder groups, industrial base approach and organizational strategies in sustainable reporting.

AB - Growing importance in corporate environmental reporting has undermined the metrics for its examination. Any such metrics are useful in measuring the effectiveness of reports. The main aim of the study in this paper is to examine and analyze the corporate environmental reports (N=539) using data mining approach. The assessment technique implemented in this study is in line with Global Reporting Initiative (GRI) disclosures. Our findings show that the data mining approach is a reliable and robust measurement. Further findings suggest that reports addressing the criteria differ from the nature of business. The study reveals the growing importance of addressing the various stakeholder groups, industrial base approach and organizational strategies in sustainable reporting.

KW - Data mining

KW - Environmental reports

KW - GRI

KW - Sustainability reporting

U2 - 10.1109/ICCET.2009.134

DO - 10.1109/ICCET.2009.134

M3 - Conference contribution

AN - SCOPUS:65949110581

SN - 9780769535210

VL - 2

SP - 543

EP - 547

BT - Proceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009

PB - IEEE

T2 - 2009 International Conference on Computer Engineering and Technology, ICCET 2009

Y2 - 22 January 2009 through 24 January 2009

ER -

Evaluation of corporate environmental reports using data mining approach

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this