Shades of green: using computer-aided qualitative data analysis to explore different aspects of corporate environmental performance

Claudia Poser (), Edeltraud Guenther and Marc Orlitzky

Metrika: International Journal for Theoretical and Applied Statistics, 2012, vol. 22, issue 4, 413-450

Abstract: This paper provides a comprehensive overview and synthesis of the various definitions of corporate environmental performance (CEP) in conceptual and empirical papers. Based on an overview of existing conceptual and empirical studies of CEP, we analyze the complex nature of this multidimensional construct. In a first step, we apply content analysis to the relevant literature to identify definitions of CEP and conduct a bibliometric analysis using the software HistCite. We found only few studies that provide a clear definition of CEP. In a second step, we use a semantic mapping methodology by applying Leximancer, a computer-aided qualitative data analysis tool to organize the large literature on CEP and to explore the definitional and conceptual complexity of CEP. To our knowledge, this is a new and unique approach in the field of environmental management. This paper contributes to research on CEP in three ways. First, it collects and summarizes definitions and measurements of CEP used in the organizational literature so far. Second, it provides a bird’s eye view on the different contexts in which CEP is discussed. Third, a parsimonious model of CEP derived from computer-aided qualitative data analysis and consisting of five major elements is presented and discussed. Copyright Springer Verlag 2012

Keywords: Computer-aided qualitative data analysis software (CAQDAS); Content analysis; Corporate environmental performance; HistCite; Leximancer (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1007/s00187-011-0147-2 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:metrik:v:22:y:2012:i:4:p:413-450

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2

DOI: 10.1007/s00187-011-0147-2

Access Statistics for this article

Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze

More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().