DIKUL - logo
E-viri
Celotno besedilo
Odprti dostop
  • Decision Making In Disaster...
    Indra Kristian

    Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP), 12/2022, Letnik: 4, Številka: 2
    Journal Article

    Objectives – Decision-making structures are usually associated with the logistical challenges experienced during disaster operations. However, the alignment between the operational level and the decision-making structure is usually neglected. The purpose of this paper is to provide an analysis of the suitability of the two levels and their impact on performance. Design/methodology/approach – This study uses a case study approach in Garut Regency. Through a review of disaster management policies in the region, interviews and secondary data, this paper provides an analysis of the current decision-making structure, logistics activities carried out by the authorities and the impact of alignment between the two components on  logistics support performance. Findings – The analysis shows that some of the challenges commonly associated with centralization are actually rooted in alignment with the operational level. Logistics performance is negatively affected by faulty assumptions, poorly planned procedures, inconsistent decision making, and poorly designed structures. This case demonstrates the need to align the operational level with a centralized perspective to increase responsiveness, flexibility and interaction between different organizations. Originality/value – This paper identifies the impact of misalignment between decision-making structures and the operational level on logistics performance, an area that has not been studied at this time. Moving from current arguments about appropriate decision-making structures for disaster management to identification of components for implementing an efficient and effective disaster management system. In addition, this paper provides recommendations for best practices in humanitarian logistics, namely: applicable to Garut and other regions that use a centralized decision-making approach.