Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.716754
Title: An analysis of intelligent failure within corporate entrepreneurship
Author: Casely, William Robert
Awarding Body: University of Exeter
Current Institution: University of Exeter
Date of Award: 2016
Availability of Full Text:
Access through EThOS:
Full text unavailable from EThOS. Thesis embargoed until 30 Nov 2018
Access through Institution:
Abstract:
Intelligent failure occurs when an entrepreneurial initiative falls short of its anticipated performance. It provides valuable new knowledge to the organisation and is recognised as an important factor in long-term corporate entrepreneurial success. This thesis is located within the domain of corporate entrepreneurship and entrepreneurial failure, and explores the various processes of intelligent failure. The specific aim of this thesis is to learn how organisations manage intelligent failure. Research takes an inductive approach with the predominant use of a qualitative methodology and, as part of a multiple case study strategy, research is carried out in six organisations operating in differing sectors within the UK. Findings indicate that the organisations often fail to manage intelligent failure. There is little evidence of a strategic approach to learning from failure and, where learning occurs, it is predominantly unstructured. This is significant because literature consistently argues that a structured process is required to manage learning from failure successfully. This research recognises that structured processes may be more effective than unstructured processes when looked at in isolation. However, this thesis argues that unstructured mechanisms do have inherent value. Therefore, when organisations develop failure management processes, a dual path may be considered, which might extract value from both systems as is contextually appropriate. This may enable organisations to maximise their ability to learn from failure. This thesis adds to existing management theory in the corporate entrepreneurship domain. In specifically focusing on the structured and unstructured forms within the process of intelligent failure, this thesis addresses a gap in current literature. It also adds to existing literature that centres on the practical management of the learning from failure process.
Supervisor: Bessant, John ; Karanika, Katerina Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.716754  DOI: Not available
Keywords: Intelligent failure ; Learning from failure ; Managing intelligent failure ; Entrepreneurial failure ; Entrepreneurial environment
Share: