Project tragedies

Bröchner, Jan

doi:10.1016/j.ijproman.2022.04.001

Cited by 5 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From small to large IT projects, implementation methodology can vary to accommodate business requirements. However, the project can follow a waterfall, agile or hybrid methodology and the core project phases will still include 6 phases namely requirements, design, setup, testing, installation and maintenance (Projectmanager, 2022). About 44% of ICT projects fail without meeting business goals, 43% are delivered late and under budget, while 18% of them completely fail partially due to the lack of strategic initiatives (Deloitte, 2022).…”

Section: It Project Management Requirementsmentioning

confidence: 99%

Importance of Artificial Intelligence in Technology Project Management

Proceedings of the International Conference on Industrial Engineering and Operations Management

View full text Add to dashboard Cite

Considering the volume of information technology (IT) project management failures occurring in businesses that strive to become fully digitalized, the present paper uses diagnosis and prescriptive analyses to propose effective digital solutions using qualitative secondary data from published research. Results indicate that successful technology project management (TPM) should consider highly qualified TPM professionals, skills, milestones, processes and budgeting in addition to observing standard project management methodologies tailored to the core business activities. The integration of artificial intelligence (AI) in information technology projects has proven to reduce project challenges while optimizing management of project scope, time, cost and resources besides big data management, automation, quality control, risk awareness and project productivity increase. Results revealed that digital-orientated companies have been allocating 46%, 46%, 52% and 39% of their budget to cover potential needs regarding digital upgrading on cloud computing, data security, ERP systems and project management. Furthermore, the key AI requirements for effective IT project deployment reside in apportioning 74%, 73%, 71% and 68% of the staff to security operations, Analytics platforms, Business workflow automation and cloud platforms respectively. However, the executors, the executors' project implementation phases comprising analysis, design, test, setup, deployment, training and support should be aligned with the receptors' project stages that include As-is process analysis, documented process, To-Be processes, process modelling, legacy system readiness, training and system support to guarantee a conclusive IT project deployment.

show abstract

Section: It Project Management Requirementsmentioning

confidence: 99%