Open AccessExpected Characteristics and Features of a Decision-Making Framework for Infrastructure Project Selection: A Structured Thematic Analysis of Interview Data
Author(s) -
Seng Hansen,
Eric Too,
Thái Hoàng Lê
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/537/1/012007
Subject(s) - selection (genetic algorithm) , thematic analysis , thematic map , order (exchange) , computer science , process management , knowledge management , management science , business , qualitative research , engineering , geography , sociology , finance , social science , cartography , artificial intelligence
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 semi-structured 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.