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Actor Models for Policy Analysis

In: Public Policy Analysis

Author

Listed:
  • Leon M. Hermans

    (Delft University of Technology)

  • Scott W. Cunningham

    (Delft University of Technology)

Abstract

Systems analysis and systems theory have proven a fruitful basis on which to develop the discipline of policy analysis. However, since the inception of policy analysis in the second half of the twentieth century, the world has changed, new insights have emerged, and thus new challenges have arisen for policy analysts. One of the most prominent changes in this regard is posed by the increasing awareness of the importance of actors, actor networks, and actor systems. This calls not only for different, more actor oriented, styles of policy analysis, but it also calls for models and methods that support the analysis and understanding of multi-actor systems and processes, making them more amenable to the contributions of policy analysts. These models are the subject of this chapter.

Suggested Citation

  • Leon M. Hermans & Scott W. Cunningham, 2013. "Actor Models for Policy Analysis," International Series in Operations Research & Management Science, in: Wil A. H. Thissen & Warren E. Walker (ed.), Public Policy Analysis, edition 127, chapter 0, pages 185-213, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-4602-6_8
    DOI: 10.1007/978-1-4614-4602-6_8
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    Cited by:

    1. Klimczuk, Andrzej, 2015. "Public Policy: Ethics," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 580-585.
    2. Wang, Qiuchen & Liu, Hongyi & Ore, Fredrik & Wang, Lihui & Hauge, Jannicke Baalsrud & Meijer, Sebastiaan, 2023. "Multi-actor perspectives on human robotic collaboration implementation in the heavy automotive manufacturing industry - A Swedish case study," Technology in Society, Elsevier, vol. 72(C).
    3. Qiuchen Wang & Jannicke Baalsrud Hauge & Sebastiaan Meijer, 2019. "Adopting an Actor Analysis Framework to a Complex Technology Innovation Project: A Case Study of an Electric Road System," Sustainability, MDPI, vol. 12(1), pages 1-35, December.
    4. Qiuchen, Wang & Jannicke, Hauge Baalsrud & Sebastiaan, Meijer, 2022. "The complexity of stakeholder influence on MaaS: A study on multi-stakeholder perspectives in Shenzhen self-driving mini-bus case," Research in Transportation Economics, Elsevier, vol. 94(C).

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