IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v13y2021i4p1-21.html
   My bibliography  Save this article

Bounds in Tree-Based Approaches to Generate Project Portfolios in the Presence of Interactions

Author

Listed:
  • Rudolf vetschera

    (University of Vienna, Austria)

  • Jonatas Araùjo de Almeida

    (Universidade Federal de Pernambuco, Brazil)

Abstract

Portfolio decision models have become an important branch of decision analysis. Portfolio problems are inherently complex, because of the combinatorial explosion in the number of portfolios that can be constructed even from a small number of items. To efficiently construct a set of portfolios that provide good performance in multiple criteria, methods that guide the search process are needed. Such methods require the calculation of bounds to estimate the performance of portfolios that can be obtained from a given partial portfolio. The calculation of such bounds is particularly difficult if interactions between items in the portfolio are possible. In the paper, the authors introduce a method to represent such interactions and develop various bounds that can be used in the presence of interactions. These methods are then tested in a computational study, where they show that the bounds they propose frequently provide a good approximation of actual outcomes, and also analyze specific properties of the problem that influence the approximation quality of the proposed bounds.

Suggested Citation

  • Rudolf vetschera & Jonatas Araùjo de Almeida, 2021. "Bounds in Tree-Based Approaches to Generate Project Portfolios in the Presence of Interactions," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 13(4), pages 1-21, October.
    • Handle: RePEc:igg:jdsst0:v:13:y:2021:i:4:p:1-21
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2021100104
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nikolaos Argyris & José Rui Figueira & Alec Morton, 2011. "Interactive Multicriteria Methods in Portfolio Decision Analysis," International Series in Operations Research & Management Science, in: Ahti Salo & Jeffrey Keisler & Alec Morton (ed.), Portfolio Decision Analysis, chapter 0, pages 107-130, Springer.
    2. Ahti Salo & Jeffrey Keisler & Alec Morton, 2011. "An Invitation to Portfolio Decision Analysis," International Series in Operations Research & Management Science, in: Ahti Salo & Jeffrey Keisler & Alec Morton (ed.), Portfolio Decision Analysis, chapter 0, pages 3-27, Springer.
    3. Ulrich Wassmer & Pierre Dussauge, 2011. "Value creation in alliance portfolios : The benefits and costs of network resource interdependencies," Post-Print hal-02313045, HAL.
    4. Barbara Fasolo & Alec Morton & Detlof Winterfeldt, 2011. "Behavioural Issues in Portfolio Decision Analysis," International Series in Operations Research & Management Science, in: Ahti Salo & Jeffrey Keisler & Alec Morton (ed.), Portfolio Decision Analysis, chapter 0, pages 149-165, Springer.
    5. Mara Airoldi & Alec Morton, 2011. "Portfolio Decision Analysis for Population Health," International Series in Operations Research & Management Science, in: Ahti Salo & Jeffrey Keisler & Alec Morton (ed.), Portfolio Decision Analysis, chapter 0, pages 359-381, Springer.
    6. Stanley Reiter, 1963. "Choosing an Investment Program among Interdependent Projects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 30(1), pages 32-36.
    7. Pierre Dussauge & Ulrich Wassmer, 2011. "Value Creation in Alliance Portfolios: The Benefits and Costs of Network Resource Interdependencies," Post-Print hal-00609489, 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. Mavrotas, George & Makryvelios, Evangelos, 2021. "Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in Research and Development project portfolio selection: A case study from Greece," European Journal of Operational Research, Elsevier, vol. 291(2), pages 794-806.
    2. Van Wijk, Raymond & Nadolska, Anna, 2020. "Making more of alliance portfolios: The role of alliance portfolio coordination," European Management Journal, Elsevier, vol. 38(3), pages 388-399.
    3. Tom Broekel & Matthias Brachert, 2015. "The structure and evolution of inter-sectoral technological complementarity in R&D in Germany from 1990 to 2011," Journal of Evolutionary Economics, Springer, vol. 25(4), pages 755-785, September.
    4. Chang, Kuo-Hsiung & Chen, Yung-ray & Huang, Hsu-Feng, 2015. "Information technology and partnership dynamic capabilities in international subcontracting relationships," International Business Review, Elsevier, vol. 24(2), pages 276-286.
    5. Li, Wei & Liu, Zhi & Xia, Senmao & Yan, Ji & Xiong, Yu & Sakka, Georgia & Yu Li, Rebecca, 2022. "How can emerging-market SMEs domestically benefit from their performance in developed countries? Empirical evidence from China," Journal of Business Research, Elsevier, vol. 142(C), pages 200-210.
    6. de Leeuw, Tim & Lokshin, Boris & Duysters, Geert, 2014. "Returns to alliance portfolio diversity: The relative effects of partner diversity on firm's innovative performance and productivity," Journal of Business Research, Elsevier, vol. 67(9), pages 1839-1849.
    7. Pinar Ozcan, 2018. "Growing with the market: How changing conditions during market growth affect formation and evolution of interfirm ties," Strategic Management Journal, Wiley Blackwell, vol. 39(2), pages 295-328, February.
    8. Casanueva, Cristóbal & Gallego, Ángeles & Sancho, María, 2013. "Network resources and social capital in airline alliance portfolios," Tourism Management, Elsevier, vol. 36(C), pages 441-453.
    9. Casanueva, Cristóbal & Gallego, Ángeles & Castro, Ignacio & Sancho, María, 2014. "Airline alliances: Mobilizing network resources," Tourism Management, Elsevier, vol. 44(C), pages 88-98.
    10. Jingbei Wang & Yafei Nie & Min Guo & Hui Liu, 2024. "Performance feedback as a determinant of ego-network stability in collaboration networks," Asia Pacific Journal of Management, Springer, vol. 41(2), pages 789-821, June.
    11. Castro, Ignacio & Casanueva, Cristóbal & Galán, José Luis, 2014. "Dynamic evolution of alliance portfolios," European Management Journal, Elsevier, vol. 32(3), pages 423-433.
    12. Doohee Chung & Marco Jinhwan Kim & Jina Kang, 2019. "Influence of alliance portfolio diversity on innovation performance: the role of internal capabilities of value creation," Review of Managerial Science, Springer, vol. 13(5), pages 1093-1120, November.
    13. Pangarkar, Nitin & Yuan, Lin & Hussain, Sairah, 2017. "Too much of a good thing? Alliance portfolio size and alliance expansion," European Management Journal, Elsevier, vol. 35(4), pages 477-485.
    14. Guo, Min & Yang, Naiding & Wang, Jingbei & Zhang, Yanlu & Wang, Yan, 2021. "How do structural holes promote network expansion?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    15. Elio Shijaku & Martin Larraza-Kintana & Ainhoa Urtasun-Alonso, 2020. "Network centrality and organizational aspirations: A behavioral interaction in the context of international strategic alliances," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(5), pages 813-828, July.
    16. Piening, Erk P. & Salge, Torsten Oliver & Schäfer, Sebastian, 2016. "Innovating across boundaries: A portfolio perspective on innovation partnerships of multinational corporations," Journal of World Business, Elsevier, vol. 51(3), pages 474-485.
    17. Liesiö, Juuso & Salo, Ahti & Keisler, Jeffrey M. & Morton, Alec, 2021. "Portfolio decision analysis: Recent developments and future prospects," European Journal of Operational Research, Elsevier, vol. 293(3), pages 811-825.
    18. Vilkkumaa, Eeva & Liesiö, Juuso & Salo, Ahti, 2014. "Optimal strategies for selecting project portfolios using uncertain value estimates," European Journal of Operational Research, Elsevier, vol. 233(3), pages 772-783.
    19. Morton, Alec, 2014. "Aversion to health inequalities in healthcare prioritisation: A multicriteria optimisation perspective," Journal of Health Economics, Elsevier, vol. 36(C), pages 164-173.
    20. Mónica D. Oliveira & Inês Mataloto & Panos Kanavos, 2019. "Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 891-918, August.

    More about this item

    Statistics

    Access and download statistics

    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:igg:jdsst0:v:13:y:2021:i:4:p:1-21. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.