TY - JOUR
T1 - Systematic literature review of project failures
T2 - Current trends and scope for future research
AU - Gupta, Sandeep Kumar
AU - Gunasekaran, Angappa
AU - Antony, Jiju
AU - Gupta, Shivam
AU - Bag, Surajit
AU - Roubaud, David
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/1
Y1 - 2019/1
N2 - Although projects are considered indispensable elements across many industries, practitioners and researchers have realised that projects’ high failure rates are costing many firms several million dollars a year. This paper presents the first comprehensive and systematic literature review of failed projects. In our research, we noticed an increasing trend in publications for case study-based research which limits the generalising of the findings due to the customised nature of these projects. Most of these failed project studies were conducted in the information technology (IT) sector due to its project-based organisational structure. We found that less effort has been made to analyse the similarities and differences in project monitoring and performance assessment approaches under diverse scenarios (e.g., process improvement, R&D, etc.). We also identified the need for more research on project failure predictions under dynamic scenarios, and we therefore recommended the input-process-output model for project monitoring and evaluation.
AB - Although projects are considered indispensable elements across many industries, practitioners and researchers have realised that projects’ high failure rates are costing many firms several million dollars a year. This paper presents the first comprehensive and systematic literature review of failed projects. In our research, we noticed an increasing trend in publications for case study-based research which limits the generalising of the findings due to the customised nature of these projects. Most of these failed project studies were conducted in the information technology (IT) sector due to its project-based organisational structure. We found that less effort has been made to analyse the similarities and differences in project monitoring and performance assessment approaches under diverse scenarios (e.g., process improvement, R&D, etc.). We also identified the need for more research on project failure predictions under dynamic scenarios, and we therefore recommended the input-process-output model for project monitoring and evaluation.
KW - Input-process-output model
KW - Monitoring
KW - Project failure
KW - Systematic literature review
UR - https://www.scopus.com/pages/publications/85059177142
U2 - 10.1016/j.cie.2018.12.002
DO - 10.1016/j.cie.2018.12.002
M3 - Article
AN - SCOPUS:85059177142
SN - 0360-8352
VL - 127
SP - 274
EP - 285
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -