Publication Type
Journal Article
Version
acceptedVersion
Publication Date
2-2009
Abstract
This paper presents an integrated theoretical process model for identifying , describing, and analyzing the complex escalation and de-escalation phenomena in software development projects. The approach-avoidance theory is used to integrate core elements of various escalation theories into a holistic, explanatory framework for the two phenomena. We use a process model to identify antecedent conditions, sequences of events, critical incidents, and outcomes over the course of a project. The analysis also operates at multiple levels: project, work, and environment. This highlights the recursive interactions between project, organizational work activities, and their contexts during the software project development process. By conceiving the processes of commitment escalation and de-escalation as sequences of events involving recurring approach-avoidance decision conflict, this research allows for a deeper understanding of the ambiguity and dilemma that decision makers face during project escalations and de-escalations. Our proposed model was both informed by a detailed case study that exhibits both project escalation and de-escalation conditions, and at the same time, illuminates the perspectives of various stakeholders.
Keywords
Approach-avoidance theory, Case study, De-escalation, Escalation, Process theory
Discipline
Accounting | Technology and Innovation
Research Areas
Corporate Governance, Auditing and Risk Management
Publication
IEEE Transactions on Engineering Management
Volume
56
Issue
1
First Page
76
Last Page
94
ISSN
0018-9391
Identifier
10.1109/tem.2008.922638
Publisher
IEEE
Citation
PAN, Gary; PAN, Shan Ling; and NEWMAN, Michael.
Managing information technology project escalation and de-escalation: An approach-avoidance perspective. (2009). IEEE Transactions on Engineering Management. 56, (1), 76-94.
Available at: https://ink.library.smu.edu.sg/soa_research/197
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/tem.2008.922638