[Purpose] This study provides a systematic classification for frameworks, methods, and models of in-project quantitative risk analysis (IQRA) for the last thirty years. [Design/methodology/approach ] An extensive literature review is conducted to identify pertinent IQRA works. Identified IQRA frameworks/methods/models are then classified on the basis of commonalities in key attributes and assumptions. Linkages between each category of IQRAs and dimensions of complexity are also observed. [Findings] Around seventy (70) key publications on IQRAs are identified. Major attributes for each work are described. Five distinct categories of IQRAs emerge with unique linkages to complexity dimensions. An analytical framework in the form of a matrix is presented to illuminate evolution on modeling characteristics and to indicate a relationship between respective category and dimensions of project complexity. [Research limitations/implications] The research coverage is intended to be comprehensive but it is by no means exhaustive. This study highlights research opportunities in IQRAs and the possible extension towards In-project Quantitative Complexity Analysis (IQCA). [Practical implications] The proposed matrix provides guidance to practitioners to select the appropriate category of IQRAs for a specific project complexity type in a contingency fashion. The study highlights lessons from development and utilization of IQRAs. Outstanding issues from IQRAs are discussed to avoid similar drawbacks for IQCAs. [Originality/value] This study provides an original framework/matrix to classify extant works in IQRAs. It also establishes an association between IQRAs and the emerging conceptual works of complexity.
Rumpun Ilmu
Teknik Industri
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
IJMPB-09-2017-0108_BudiHARTONO_IQRA.pdf
2
PEER REVIEW_ Budi Hartono 7.pdf
[PAK] Peer Review
3
Article_published.pdf
[PAK] Full Dokumen
4
CS_From project risk to complexity analysis_ a systematic classification.pdf
