Abstract
Over the past two decades, enterprise IT functions have enjoyed continued success in projects using agile development methods. However, the lack of ample empirical research on achieving portfolio level agility can potentially inhibit their ability to effectively govern IT investments while scaling agile practices to derive more significant benefits. This study examines the impact of agile delivery efforts on project portfolio management at the enterprise level and identifies approaches adopted to foster agility in portfolio practices. We conducted a systematic literature review to explore existing scientific knowledge around agile methods and portfolio management in an enterprise IT context. An analysis of the 21 primary studies found relevant to this research identified six portfolio management aspects impacted by agile delivery practices and a variety of approaches adopted to support them. While these identified portfolio management aspects guide practitioners on areas to focus on while scaling agile efforts across an enterprise, the specific practices/approaches observed present opportunities to consider within their respective organizational contexts. Portfolio processes need an exploratory focus to sense environmental change to support agility, utilize a systems-thinking approach for a holistic view of potential interactions within and across portfolio components, and consider the effect of existing organizational processes to support portfolio agility. This study contributes to academic knowledge by synthesizing current knowledge on how portfolio management contributes to IT agility while incorporating agile delivery efforts and by identifying a set of future research directions in this space.
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Notes
- 1.
See https://scaledagileframework.com for more details.
- 2.
See https://less.works for more details.
- 3.
See https://pmi.org/disciplined-agile for more details.
- 4.
The search string was implemented in the syntax unique to each database. Database searches were conducted in early June 2020.
- 5.
- 6.
Note that the search strategy had not used any date filters and the results include all available papers until early June 2020 when the search was conducted.
- 7.
Some descriptive statistics of the overall quality assessment scores are as follows: n = 21, mean = 3.50, median = 3.20, min = 2.6, max = 4.8.
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Appendix – Selected Studies
Appendix – Selected Studies
ID | Citation |
---|---|
S01 | Ahmad, M.O., Lwakatare, L.E., Kuvaja, P., Oivo, M., Markkula, J.: An empirical study of portfolio management and Kanban in agile and lean software companies. Journal Of Software: Evolution and Process 29(6), 1-16 (2017) |
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S03 | Dingsøyr, T., Moe, N.B., Fægri, T.E., Seim, E.A.: Exploring software development at the very large-scale: a revelatory case study and research agenda for agile method adaptation. Empirical Software Engineering 23(1), 490-520 (2018) |
S04 | Hansen, L.K., Brandt, C.J., Svejvig, P., Kampf, C.E.: Agile project portfolio management, new solutions and new challenges: findings from four agile organizations. In: EURAM Conference (2020) |
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Puthenpurackal Chakko, J., Huygh, T., De Haes, S. (2021). Achieving Agility in IT Project Portfolios – A Systematic Literature Review. In: Przybyłek, A., Miler, J., Poth, A., Riel, A. (eds) Lean and Agile Software Development. LASD 2021. Lecture Notes in Business Information Processing, vol 408. Springer, Cham. https://doi.org/10.1007/978-3-030-67084-9_5
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