Archetype Basic Modeling for Local Government Performance: A geographical challenge to manage archipelagic parts
- DOI
- 10.2991/aicobpa-18.2019.32How to use a DOI?
- Keywords
- systems archetype; modeling; archipelagic; geographical; local government, limit to growth
- Abstract
This study attempts to describe archetypes of governance in archipelagic parts of a region, as geographical conditions are a major challenge for the local government. The problem of governance in archipelagic parts of a region is characterized as a systemic problem, so the standard pattern of system behavior must be known. Systems archetype basics are the right tool to describe complex systemic situations such as those faced by local governments in the archipelago. Systems archetype has contributed effectively to understanding the dynamics of the system until the leverage variables are found to engineer the limiting factor. The resulted storyline has been able to identify several subsystems, which are then integrated into the governance system in archipelagic region. Geographical and weather conditions as limiting factors that affect the accessibility of the region and the availability of infrastructure. Therefore, infrastructure improvement as the leverage. So, the provision of infrastructure encourages regional accessibility and acceleration of development in archipelagic parts.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Moh Said AU - Bambang Supriyono AU - Mujibur Rahman Khairul Muluk AU - Bambang Santoso Haryono PY - 2019/08 DA - 2019/08 TI - Archetype Basic Modeling for Local Government Performance: A geographical challenge to manage archipelagic parts BT - Proceedings of the Annual International Conference of Business and Public Administration (AICoBPA 2018) PB - Atlantis Press SP - 134 EP - 138 SN - 2352-5428 UR - https://doi.org/10.2991/aicobpa-18.2019.32 DO - 10.2991/aicobpa-18.2019.32 ID - Said2019/08 ER -