Spotify tailoring for promoting effectiveness in cross-functional autonomous squads

Salameh, A ORCID: https://orcid.org/0000-0002-3012-9353 and Bass, J ORCID: https://orcid.org/0000-0002-0570-7086 2019, Spotify tailoring for promoting effectiveness in cross-functional autonomous squads , in: 20th International Conference, XP 2019 Workshops, May 21–25, 2019, Montréal, QC, Canada.

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Abstract

Organisations tend to tailor agile methods to scale employed practices to have cross-functional autonomous teams while promoting sustainable creative and productive development at a constant pace. Thus, it is important to investigate how organisations tailor agile practices to get the balance right between teams' autonomy and alignment. Spotify model is originally introduced to facilitate the development of music streaming services in a very large-scale project with a Business-to-Consumer (B2C) model. However, developing a large-scale mission-critical project with a Business-to-Business (B2B) model is not essentially supported by the Spotify model. Thus, embracing Spotify model for such projects should be concerned about the question of how Spotify practices are adjusted to promote the effectiveness of cross-functional autonomous squads in a mission-critical project with B2B model? In this paper, we conduct a longitudinal embedded case study, which lasted 21 months during which 14 semi-structured interviews were conducted. The Grounded Theory (GT) is adopted to analyse the collected data. As a result, we identify practices and processes that promote effectiveness in cross-functional autonomous squads, which have never been discussed in terms of Spotify model before. We also present Spotify Tailoring by highlighting modified and newly introduced practices by the organisation in which the case study was conducted.

Item Type:	Conference or Workshop Item (Paper)
Schools:	Schools > School of Computing, Science and Engineering
Journal or Publication Title:	Agile Processes in Software Engineering and Extreme Programming -- Workshops
Publisher:	Springer
Series Name:	Lecture Notes in Business Information Processing
ISBN:	9783030301255 (print); 9783030301262 (eBook)
ISSN:	1865-1348
Related URLs:	Publication
Funders:	University of Salford
Depositing User:	Dr Abdallah Salameh
Date Deposited:	11 Mar 2020 08:40
Last Modified:	16 Feb 2022 04:12
URI:	https://usir.salford.ac.uk/id/eprint/56617

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