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Article
Publication date: 28 October 2010

Randolph E. Schwering

This paper forwards a conceptual model identifying some of the key sources of judgment error in individual environmental sensemaking. Recommendations are offered to mitigate some…

Abstract

Purpose

This paper forwards a conceptual model identifying some of the key sources of judgment error in individual environmental sensemaking. Recommendations are offered to mitigate some of these biasing dysfunctions and thereby improve the effectiveness of environmentally related business policy.

Design/methodology/approach

Theories of cognitive and behavioral sciences are reviewed and applied to create a conceptual model describing some of the key influences on individual sensemaking in regard to environmental risk and opportunity.

Findings

It is found that the model presented in this paper contributes to the literature of corporate social responsibility in explaining some of the heuristic phenomena that can lead to denial of a firm's negative environmental impact, or conversely, recognition of emerging opportunities arising from increasing societal concern for environmental integrity. Many environmental scientists believe denial is omnipresent in modern business and governmental organizations. In addition, because the model is grounded in well‐established theories of problematic heuristic bias, it helps identify “leverage points” where well‐designed interventions can be deployed to promote learning and improved decision making. The model helps the decision maker better understand and potentially influence ethical judgment because ethical decision making is conceived within the frame of bounded ethicality versus a less potent theory of intervention based upon espoused moral prescriptions.

Research limitations/implications

Some important influences on environmental sensemaking are not emphasized in the model to include dimensions of individual personality, early childhood experiences, gender, religious background, etc. Rather, the emphasis here is placed upon relatively ubiquitous cognitive heuristics and other cognitive phenomena likely to influence many organizational decision makers.

Originality/value

This analysis and resulting conceptual model should help change agents, students, policy makers and business practitioners avoid predictable biases and sensemaking distortions and, in so doing, improve the firm's social responsibility profile and recognition of emerging business opportunities growing out of sustainability imperatives.

Details

Sustainability Accounting, Management and Policy Journal, vol. 1 no. 2
Type: Research Article
ISSN: 2040-8021

Keywords

Article
Publication date: 1 November 2003

Randolph E. Schwering

This forwards a new version of a tool long used in planned change and organizational development efforts – force field analysis. Existing applications of this technique are…

11000

Abstract

This forwards a new version of a tool long used in planned change and organizational development efforts – force field analysis. Existing applications of this technique are critiqued in light of cognitive heuristics known to erode judgment and analytical performance in plan development. A cognitive prompting template is combined with the existing the force field analysis technique to mitigate these problems. As such, the revised technique represents a significant improvement over the traditional application of the force field tool as used by the OD practitioner. Following an overview of the theoretical underpinnings of the revised technique, a case example is offered to illustrate the technique as it was used in a real organization. Finally, practical facilitation guidelines are offered to help leaders and planners conduct force field analysis sessions in multi‐stakeholder change efforts.

Details

Leadership & Organization Development Journal, vol. 24 no. 7
Type: Research Article
ISSN: 0143-7739

Keywords

Content available
Article
Publication date: 28 October 2010

Jesse Dillard and Madeleine E. Pullman

513

Abstract

Details

Sustainability Accounting, Management and Policy Journal, vol. 1 no. 2
Type: Research Article
ISSN: 2040-8021

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