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Haptic Recording Experience

The Iceberg Model as a Serious Game for Decision Making in Systemic Design Oriented Leadership (SDOL)

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Games and Learning Alliance (GALA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14475))

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Abstract

The Iceberg Model, derived from Systems Thinking, is one of the powerful methods for understanding the hidden dynamics and complexities that influence decision making. By examining the various layers of the iceberg metaphorically, one can gain a deeper understanding of the interconnectedness and interdependencies within systems, enabling to make more informed and connected decisions and foster sustainable change in a complex world.

By applying the Iceberg Model in the context of serious games, Systemic Design Oriented Leadership (SDOL) in particular could gain a holistic understanding of the hidden dynamics that determine behaviour and outcomes within their organizations. A serious game of this nature has the capacity to augment a leadership learning culture that fosters the investigation of cognitive frameworks, the interrogation of presumptions, and the cultivation of critical thinking. Through dialogue and reflection, SDOL could surface underlying beliefs and values. SDOLthat embraces the gamification of the Iceberg Model might effectively drive sustainable change in a playful manner. By focusing the gameplay on levels such as “mental models” and “systemic structures”, SDOL can design interventions that address the root causes of challenges rather than applying quick fixes. The Iceberg Model as a serious game fosters a culture of continuous improvement and adaptability, positioning the organization for long-term success.

This paper explores the application of the Iceberg Model as a physical serious game in SDOL, highlighting its significance in identifying and addressing underlying factors that impact organizational behavior and performance.

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Correspondence to Pelin Celik .

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Celik, P. (2024). Haptic Recording Experience. In: Dondio, P., et al. Games and Learning Alliance. GALA 2023. Lecture Notes in Computer Science, vol 14475. Springer, Cham. https://doi.org/10.1007/978-3-031-49065-1_32

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  • DOI: https://doi.org/10.1007/978-3-031-49065-1_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49064-4

  • Online ISBN: 978-3-031-49065-1

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