EconPapers    
Economics at your fingertips  
 

Creating a path out of bankruptcy through action learning

Mark Chrystal

Action Learning: Research and Practice, 2019, vol. 16, issue 1, 62-67

Abstract: This account of practice details how an action learning methodology was successfully implemented within a corporate business environment in order to aid its emergence from bankruptcy. The need to quickly develop and adopt new knowledge and business practices was critically important to the survival of the business. The business had been underperforming for several years and was in the process of emerging from bankruptcy. An action learning methodology was implemented to enable an accelerated process of organizational learning and business process transformation. Ultimately, action learning proved to be critically important for the adoption of the new approach to the business. The action learning process was responsible for tailoring the new approach to fit within the already established operating framework of the business. The new knowledge and processes that resulted from action learning were also central to an improvement in the performance of the business and a successful emergence from bankruptcy.

Date: 2019
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://hdl.handle.net/10.1080/14767333.2019.1562695 (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:taf:alresp:v:16:y:2019:i:1:p:62-67

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CALR20

Access Statistics for this article

Action Learning: Research and Practice is currently edited by Kiran Trehan and Clare Rigg

More articles in Action Learning: Research and Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2019-04-07
Handle: RePEc:taf:alresp:v:16:y:2019:i:1:p:62-67