IT Project Portfolio Management: Development and Validation of a Reference Model

Autor: Wissenburg, Ruud, Kusters, R.J., Martin, H.H., Felipe, Joaquim, Smialek, Michal, Hammoudi, Slimane
Přispěvatelé: Filipe, Joaquim, Smialek, Michal, Brodsky, Alexander, Hammoudi, Slimane, Department of Information Science, RS-Research Line Governance research (part of AIS program), RS-Research Line Strategic design research (part of AIS program), RS-Research Line Learning (part of LIRS program), RS-Research Line Resilience (part of LIRS program), RS-Research Line Innovation (part of LIRS program)
Rok vydání: 2023
Předmět:
Zdroj: Wissenburg, R, Kusters, R J & Martin, H H 2023, IT Project Portfolio Management : Development and Validation of a Reference Model . in J Filipe, M Smialek, A Brodsky & S Hammoudi (eds), Proceedings of the 25th International Conference on Enterprise Information Systems-Volume 1, ICEIS 2023 . vol. 1, SCITEPRESS-Science and Technology Publications, Lda., Lissabon, pp. 202-211, The 25th International Conference on Enterprise Information Systems, Prague, Czech Republic, 24/04/23 . https://doi.org/10.5220/0011959400003467
Proceedings of the 25th International Conference on Enterprise Information Systems-(Volume 1), 1, 202-211
Popis: IT Project Portfolio Management has been implemented in most organizations to effectively manage complex portfolios of IT projects and balance them with business strategy. Several standards for portfolio management have been published, but the scientific literature still lacks a theoretically grounded and practically validated reference model for analyzing the implementation of IT Project Portfolio Management in an organization. Therefore, this study designs and validates a reference model for systematically analyzing IT Project Portfolio Management design choices in an organization in terms of processes, roles, responsibilities, and authority. Organizations can use the reference model to systematically assess their local implementation of IT Project Portfolio Management and identify areas for improvement.
Databáze: OpenAIRE