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Adaptive Portfolio Management Based on Complexity Theory and Sociotechnical Design

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Research Challenges in Information Science (RCIS 2024)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 513))

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Abstract

Current market contexts are pushing leaders to face the need for new business paradigms and to adapt their organisations to an ever-faster changing, dynamic and even unpredictable world. Organisations are requiring new ways of operating and new IT governance approaches that allow them to act quickly while remaining alert to the signals of the environment in which they operate. In this sense, we have focused our work on the design and implementation of an Adaptive Portfolio Management (APM) approach based on complexity and sociotechnical design principles in two Spanish organisations. After some Action-Research cycles, we conducted a situational analysis phase through several focus groups, the results of which are presented in this paper. Our findings show that the sociotechnical approach has brought to light the interrelationship between the governance model and other dimensions such as strategy, operating models, organisational design, people and culture, and technology. One of the key findings of the diagnosis is that, by implementing a governance model devoid of deterministic principles, we can readjust the other dimensions and introduce changes to facilitate the organisation’s ability to adapt to dynamic environments.

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Acknowledgments

The present work has been funded by: PID2021-122554OB-C33 and PID2021-122554OB-C31 (OASSIS): partially funded by MCIN/AEI/10.13039/501100011033 and EU/ERDF A way of making Europe; GRC: ED431C 2021/53, partially funded by GAIN/Xunta de Galicia; and CITIC is funded by the Xunta de Galicia through the collaboration agreement between the Department of Culture, Education, Vocational Training and Universities and the Galician universities for the reinforcement of the research centers of the Galician University System (CIGUS).

We would also like to thank KELEA, and its consultant’s team, for encouraging academic participation in these projects and bringing out the different lessons learned.

Author information

Authors and Affiliations

  1. Centro de Investigación CITIC, Universidade da Coruña, A Coruña, Spain

    Jose Antonio Ortega & Oscar Pedreira

  2. ITSI, Universidad de Castilla-La Mancha, Ciudad Real, Spain

    Mario Piattini

Authors
  1. Jose Antonio Ortega
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  2. Oscar Pedreira
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  3. Mario Piattini
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Corresponding author

Correspondence to Jose Antonio Ortega .

Editor information

Editors and Affiliations

  1. NOVA University Lisbon, Caparica, Portugal

    João Araújo

  2. University of Castilla La Mancha, Albacete, Albacete, Spain

    Jose Luis de la Vara

  3. University of Minho, Guimarães, Portugal

    Maribel Yasmina Santos

  4. Institut Mines-Télécom Business School, Evry, France

    Saïd Assar

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Ortega, J.A., Pedreira, O., Piattini, M. (2024). Adaptive Portfolio Management Based on Complexity Theory and Sociotechnical Design. In: Araújo, J., de la Vara, J.L., Santos, M.Y., Assar, S. (eds) Research Challenges in Information Science. RCIS 2024. Lecture Notes in Business Information Processing, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-031-59465-6_22

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  • DOI: https://doi.org/10.1007/978-3-031-59465-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-59464-9

  • Online ISBN: 978-3-031-59465-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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