Identifying escalation of commitment in B2B new product development projects using data envelopment analysis
Abstract
Purpose
Business managers are constantly faced with the decision to continue or abandon new product development projects. However, this type of decision may not be easy. These decisions are usually prone to bias of managers. Managers are known to escalate their commitment toward failed projects. It is also not easy to identify projects that are suffering from escalation of commitment. The purpose of this paper is to propose an objective escalation identification method.
Design/methodology/approach
This paper proposes an objective escalation identification method using data envelopment analysis (DEA). The results from DEA are compared with those of subjective methods of identifying escalation.
Findings
The objective estimate of escalation given by DEA was comparable to the subjective estimate of escalation given by the managers in the survey.
Research limitations/implications
DEA is sensitive to outliers and managers should be careful in selecting projects that are to be included for comparison. DEA does not give statistical fit indices as it is an operational research based technique.
Practical implications
DEA is an objective and automatic tool that makes the decision of managers easier. Managers can use this tool by inputting the output and input variables of their projects and then see which ones are escalated, therefore need to be abandoned. As a consequence, escalation of commitment and big losses can be prevented especially in new product development area.
Originality/value
By using the proposed objective approach, escalation of commitment and associated big losses can be prevented especially in new product development area.
Keywords
Acknowledgements
Received 2 November 2011 Revised 20 October 2012 Accepted 20 October 2012
Citation
Donthu, N. and Unal, B. (2014), "Identifying escalation of commitment in B2B new product development projects using data envelopment analysis", Journal of Business & Industrial Marketing, Vol. 29 No. 3, pp. 209-214. https://doi.org/10.1108/JBIM-11-2011-0162
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited