IDEAS home Printed from https://ideas.repec.org/a/eee/oprepe/v7y2020ics2214716020300609.html
   My bibliography  Save this article

Survive IT! Survival analysis of IT project planning approaches

Author

Listed:
  • Kosztyán, Zsolt T.
  • Jakab, Róbert
  • Novák, Gergely
  • Hegedűs, Csaba

Abstract

Despite the emerging importance of IT projects and the application of new flexible project management approaches, such as agile and hybrid methodologies, there are still many unsuccessful projects. Therefore, it is important to study which risk factors have the highest influence on the success and survivability of IT projects, how they are related to each other, and which project planning and management approaches can mitigate project risk the most. The goal of the study is twofold. On the one hand, a new risk analysis tool is proposed that handles the project flexibility and the dependency of the risk factors at the same time. On the other hand, with the proposed risk analysis tool, the effects of project management approaches for scheduling performance and risk mitigation are analyzed. With the proposed risk management tool, we determined the level of flexibility that allows flexible project management methods to gain advantage over traditional methods. In addition, we answer whether it makes sense to apply flexible planning for non-IT projects.

Suggested Citation

  • Kosztyán, Zsolt T. & Jakab, Róbert & Novák, Gergely & Hegedűs, Csaba, 2020. "Survive IT! Survival analysis of IT project planning approaches," Operations Research Perspectives, Elsevier, vol. 7(C).
    • Handle: RePEc:eee:oprepe:v:7:y:2020:i:c:s2214716020300609
    DOI: 10.1016/j.orp.2020.100170
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214716020300609
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.orp.2020.100170?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Svenja C. Sommer & Christoph H. Loch & Jing Dong, 2009. "Managing Complexity and Unforeseeable Uncertainty in Startup Companies: An Empirical Study," Organization Science, INFORMS, vol. 20(1), pages 118-133, February.
    2. Vanhoucke, Mario & Coelho, Jose & Debels, Dieter & Maenhout, Broos & Tavares, Luis V., 2008. "An evaluation of the adequacy of project network generators with systematically sampled networks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 511-524, June.
    3. Kosztyán, Zsolt T. & Szalkai, István, 2018. "Hybrid time-quality-cost trade-off problems," Operations Research Perspectives, Elsevier, vol. 5(C), pages 306-318.
    4. Babu, A. J. G. & Suresh, Nalina, 1996. "Project management with time, cost, and quality considerations," European Journal of Operational Research, Elsevier, vol. 88(2), pages 320-327, January.
    5. Michael T. Pich & Christoph H. Loch & Arnoud De Meyer, 2002. "On Uncertainty, Ambiguity, and Complexity in Project Management," Management Science, INFORMS, vol. 48(8), pages 1008-1023, August.
    6. Dvir, Dov & Lechler, Thomas, 2004. "Plans are nothing, changing plans is everything: the impact of changes on project success," Research Policy, Elsevier, vol. 33(1), pages 1-15, January.
    7. Kajal Chatterjee & Sheikh Ahmed Hossain & Samarjit Kar, 2018. "Prioritization of project proposals in portfolio management using fuzzy AHP," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 478-501, June.
    8. Julian Stander & Luciana Dalla Valle & Mario Cortina-Borja, 2018. "A Bayesian Survival Analysis of a Historical Dataset: How Long Do Popes Live?," The American Statistician, Taylor & Francis Journals, vol. 72(4), pages 368-375, October.
    9. Eppinger, Steven D. & Browning, Tyson R., 2012. "Design Structure Matrix Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262017520, December.
    10. Servranckx, Tom & Vanhoucke, Mario, 2019. "A tabu search procedure for the resource-constrained project scheduling problem with alternative subgraphs," European Journal of Operational Research, Elsevier, vol. 273(3), pages 841-860.
    11. Servranckx, Tom & Vanhoucke, Mario, 2019. "Strategies for project scheduling with alternative subgraphs under uncertainty: similar and dissimilar sets of schedules," European Journal of Operational Research, Elsevier, vol. 279(1), pages 38-53.
    12. Zsolt T. Kosztyán & István Szalkai, 2020. "Multimode resource-constrained project scheduling in flexible projects," Journal of Global Optimization, Springer, vol. 76(1), pages 211-241, January.
    13. Demeulemeester, Erik L. & Herroelen, Willy S. & Elmaghraby, Salah E., 1996. "Optimal procedures for the discrete time/cost trade-off problem in project networks," European Journal of Operational Research, Elsevier, vol. 88(1), pages 50-68, January.
    14. Brucker, Peter & Drexl, Andreas & Mohring, Rolf & Neumann, Klaus & Pesch, Erwin, 1999. "Resource-constrained project scheduling: Notation, classification, models, and methods," European Journal of Operational Research, Elsevier, vol. 112(1), pages 3-41, January.
    15. Van Peteghem, Vincent & Vanhoucke, Mario, 2014. "An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances," European Journal of Operational Research, Elsevier, vol. 235(1), pages 62-72.
    16. Valadares Tavares, L. & Antunes Ferreira, J. & Silva Coelho, J., 1999. "The risk of delay of a project in terms of the morphology of its network," European Journal of Operational Research, Elsevier, vol. 119(2), pages 510-537, December.
    17. Kolisch, Rainer & Sprecher, Arno, 1997. "PSPLIB - A project scheduling problem library : OR Software - ORSEP Operations Research Software Exchange Program," European Journal of Operational Research, Elsevier, vol. 96(1), pages 205-216, January.
    18. Christoph Schmidt, 2016. "Agile Software Development," Progress in IS, in: Agile Software Development Teams, chapter 0, pages 7-35, Springer.
    19. Stefan Creemers, 2015. "Minimizing the expected makespan of a project with stochastic activity durations under resource constraints," Post-Print hal-02992649, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kosztyán, Zsolt T. & Szalkai, István, 2018. "Hybrid time-quality-cost trade-off problems," Operations Research Perspectives, Elsevier, vol. 5(C), pages 306-318.
    2. Zsolt T. Kosztyán & István Szalkai, 2020. "Multimode resource-constrained project scheduling in flexible projects," Journal of Global Optimization, Springer, vol. 76(1), pages 211-241, January.
    3. Zsolt T. Kosztyán & Eszter Bogdány & István Szalkai & Marcell T. Kurbucz, 2022. "Impacts of synergies on software project scheduling," Annals of Operations Research, Springer, vol. 312(2), pages 883-908, May.
    4. Hongbo Li & Zhe Xu & Wenchao Wei, 2018. "Bi-Objective Scheduling Optimization for Discrete Time/Cost Trade-Off in Projects," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    5. Pejman Peykani & Jafar Gheidar-Kheljani & Sheida Shahabadi & Seyyed Hassan Ghodsypour & Mojtaba Nouri, 2023. "A two-phase resource-constrained project scheduling approach for design and development of complex product systems," Operational Research, Springer, vol. 23(1), pages 1-25, March.
    6. Servranckx, Tom & Coelho, José & Vanhoucke, Mario, 2024. "A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver," European Journal of Operational Research, Elsevier, vol. 316(3), pages 815-827.
    7. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    8. Van Eynde, Rob & Vanhoucke, Mario, 2022. "New summary measures and datasets for the multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 299(3), pages 853-868.
    9. Rahman Torba & Stéphane Dauzère-Pérès & Claude Yugma & Cédric Gallais & Juliette Pouzet, 2024. "Solving a real-life multi-skill resource-constrained multi-project scheduling problem," Annals of Operations Research, Springer, vol. 338(1), pages 69-114, July.
    10. Kosztyán, Zsolt T. & Pribojszki-Németh, Anikó & Szalkai, István, 2019. "Hybrid multimode resource-constrained maintenance project scheduling problem," Operations Research Perspectives, Elsevier, vol. 6(C).
    11. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    12. Ronald Klingebiel & Arnoud De Meyer, 2013. "Becoming Aware of the Unknown: Decision Making During the Implementation of a Strategic Initiative," Organization Science, INFORMS, vol. 24(1), pages 133-153, February.
    13. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    14. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.
    15. Agathe Gilain & Pascal Le Masson & Benoit Weil, 2018. "Managing Learning Curves In The Unknown: From ‘Learning By Doing’ To ‘Learning By Designing’," Post-Print hal-01900961, HAL.
    16. Moukrim, Aziz & Quilliot, Alain & Toussaint, Hélène, 2015. "An effective branch-and-price algorithm for the Preemptive Resource Constrained Project Scheduling Problem based on minimal Interval Order Enumeration," European Journal of Operational Research, Elsevier, vol. 244(2), pages 360-368.
    17. Alireza Etminaniesfahani & Hanyu Gu & Leila Moslemi Naeni & Amir Salehipour, 2024. "An efficient relax-and-solve method for the multi-mode resource constrained project scheduling problem," Annals of Operations Research, Springer, vol. 338(1), pages 41-68, July.
    18. Sylvain Lenfle & Christoph Loch, 2017. "Has Megaproject management lost its way ? Lessons from History," Post-Print hal-03640779, HAL.
    19. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    20. Feduzi, Alberto & Runde, Jochen, 2014. "Uncovering unknown unknowns: Towards a Baconian approach to management decision-making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 268-283.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:oprepe:v:7:y:2020:i:c:s2214716020300609. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/operations-research-perspectives .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.