EconPapers    
Economics at your fingertips  
 

A conceptual framework for scaled agile success

Lucas Khoza and Carl Marnewick

International Journal of Project Organisation and Management, 2023, vol. 15, issue 1, 99-128

Abstract: This article presents a conceptual framework to determine the success of organisations scaled agile endeavours. Different processes and perceived indicators from the three main levels of agile scaling frameworks were studied. The processes were examined to determine whether they contribute in achieving the perceived success indicators. A quantitative research method was employed for data collection and analysis. Pearson's correlations and multiple linear regressions were used to test and construct the final conceptual framework. Key findings revealed that there are processes currently implemented that do not contribute to the achievement of the perceived indicators. Strategy and investment funding is the driving process at the portfolio level, continuous exploration drives the program level while building, testing and deploying of a software product drive the team level. This research contributes to the body of knowledge with regards to scaled agile, specifically on how to measure scaled agile success.

Keywords: scaled agile; agile methods; software project success; SPS; multiple linear regression; MLR; processes; perceived indicators. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=129377 (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:ids:ijpoma:v:15:y:2023:i:1:p:99-128

Access Statistics for this article

More articles in International Journal of Project Organisation and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijpoma:v:15:y:2023:i:1:p:99-128