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Agent-based Modeling in Digital Governance Research: A Review and Future Research Directions

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Scientific Foundations of Digital Governance and Transformation

Part of the book series: Public Administration and Information Technology ((PAIT,volume 38))

Abstract

Digital governance involves the application of information and communication technology (ICT) for achieving efficiency and effectiveness in government functions for all stakeholders. In addition to the expenditure on ICT, government bodies face key challenges arising from complexity in digital governance due to uncertainty, nonlinearity, and heterogeneity in processes and stakeholders, which need to be further understood and resolved. To that end, agent-based modeling (ABM) offers a powerful technique to represent and research complexities, uncertainties, nonlinearity, and heterogeneity in a digital governance ecosystem. In this chapter, we provide a systematic review of the literature over the last two decades, which has applied ABM for analyzing digital governance phenomena. Based on the review, with 78 relevant studies, we contribute by summarizing the current state of research in this area, identifying the literature gaps, and outlining directions for future research. Specifically, our study highlights issues related to ABM design, implementation, validation, and adoption that remain unexplored. Salient future research directions include theory development with greater involvement of stakeholders, empirical frameworks’ development for ABM implementation with focus on scalability, interlinking of ABM with existing government knowledge bases, and applying ABM to less studied domains of digital governance.

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Notes

  1. 1.

    Excludes the 78 papers in our review, which are listed in the Appendix.

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Authors and Affiliations

  1. Institute of Systems Science, National University of Singapore, Singapore, Singapore

    Prakash C. Sukhwal

  2. Department of Information Systems and Analytics, National University of Singapore, Singapore, Singapore

    Atreyi Kankanhalli

Authors
  1. Prakash C. Sukhwal
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  2. Atreyi Kankanhalli
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Correspondence to Prakash C. Sukhwal .

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Editors and Affiliations

  1. University of the Aegean, Samos, Greece

    Yannis Charalabidis

  2. University of Agder, Kristiansand, Norway

    Leif Skiftenes Flak

  3. Danube University Krems, Krems an der Donau, Austria

    Gabriela Viale Pereira

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Sukhwal, P.C., Kankanhalli, A. (2022). Agent-based Modeling in Digital Governance Research: A Review and Future Research Directions. In: Charalabidis, Y., Flak, L.S., Viale Pereira, G. (eds) Scientific Foundations of Digital Governance and Transformation. Public Administration and Information Technology, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-030-92945-9_12

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