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Expected Characteristics and Features of a Decision-Making Framework for Infrastructure Project Selection: A Structured Thematic Analysis of Interview Data

conference contribution
posted on 2024-11-03, 12:43 authored by Hansen Seng, Eric TooEric Too, Tiendung LeTiendung Le
As the largest economy in Southeast Asia, Indonesia faces various challenges in accelerating infrastructure development. One of these challenges is related to the selection of infrastructure projects that are increasingly stringent considering the continuing growth of infrastructure projects. This paper focuses on issues related to the development of a Decision-Making Framework (DMF) for infrastructure project selection. In order to develop a good DMF, expected characteristics and features must be understood. Thus, this paper aims to identify these expected DMF characteristics and features through a qualitative approach. Twenty semistructured expert interviews were conducted and analysed based on a structured thematic analysis to identify four key DMF characteristics and three groups of DMF features. These identifications are an important effort in developing a DMF so that it can be fully utilized and well-functioned. Finally, this paper reflects the current expectations in developing a good DMF for infrastructure project selection.

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  1. 1.
    DOI - Is published in 10.1088/1755-1315/537/1/012007

Start page

1

End page

9

Total pages

9

Outlet

Proceedings of the IOP Conference Series: Earth and Environmental Science (ICoSITeR 2019)

Name of conference

ICoSITeR 2019

Publisher

IOP Science

Place published

United Kingdom

Start date

2019-10-25

End date

2019-10-26

Language

English

Copyright

© Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence.

Former Identifier

2006101183

Esploro creation date

2020-09-08

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