What makes an IT project successful?

Soohyun Cho, Kyung Sung Jung, Young Kwark

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The apt management of IT human resources is a decisive factor for IT project success. Our paper first reviews the interplay of the technical qualifications of a project team's individual members before adopting the concepts of domain knowledge and technology knowledge to study how task assignment and IT workforce training contribute to a project's optimum realization. We use both internal and customer satisfaction evaluations to gauge project success. Our pilot study establishes that when interpersonal diversity in individuals' technical knowledge increases, the team is less likely to achieve good results; it also demonstrates that project manager/team member cohesiveness in domain knowledge improves project performance. We also examine the impact of individuals' qualifications on project life cycles before analyzing training programs that would increase the likelihood of project success. We hope this research provides actionable insights for better project management and execution and more efficient allocation of limited IT human resources.

Original languageEnglish (US)
Title of host publication2015 International Conference on Information Systems
Subtitle of host publicationExploring the Information Frontier, ICIS 2015
PublisherAssociation for Information Systems
ISBN (Print)9780996683111
StatePublished - 2015
Event2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015 - Fort Worth, United States
Duration: Dec 13 2015Dec 16 2015

Publication series

Name2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015

Conference

Conference2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015
Country/TerritoryUnited States
CityFort Worth
Period12/13/1512/16/15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences
  • Applied Mathematics

Keywords

  • Domain knowledge
  • IT industry
  • IT project management
  • Technical knowledge
  • Technical qualification

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