TY - GEN
T1 - Project Archetypes
T2 - 43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022
AU - Dolata, Mateusz
AU - Crowston, Kevin
AU - Schwabe, Gerhard
N1 - Publisher Copyright:
© 2022 International Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation". All Rights Reserved.
PY - 2022
Y1 - 2022
N2 - Software projects rely on what we call project archetypes, i.e., pre-existing mental images of how projects work. They guide distribution of responsibilities, planning, or expectations. However, with the technological progress, project archetypes may become outdated, ineffective, or counterproductive by impeding more adequate approaches. Understanding archetypes of software development projects is core to leverage their potential. The development of applications using machine learning and artificial intelligence provides a context in which existing archetypes might outdate and need to be questioned, adapted, or replaced. We analyzed 36 interviews from 21 projects between IBM Watson and client companies and identified four project archetypes members initially used to understand the projects. We then derive a new project archetype, cognitive computing project, from the interviews. It can inform future development projects based on AI-development platforms. Project leaders should proactively manage project archetypes while researchers should investigate what guides initial understandings of software projects.
AB - Software projects rely on what we call project archetypes, i.e., pre-existing mental images of how projects work. They guide distribution of responsibilities, planning, or expectations. However, with the technological progress, project archetypes may become outdated, ineffective, or counterproductive by impeding more adequate approaches. Understanding archetypes of software development projects is core to leverage their potential. The development of applications using machine learning and artificial intelligence provides a context in which existing archetypes might outdate and need to be questioned, adapted, or replaced. We analyzed 36 interviews from 21 projects between IBM Watson and client companies and identified four project archetypes members initially used to understand the projects. We then derive a new project archetype, cognitive computing project, from the interviews. It can inform future development projects based on AI-development platforms. Project leaders should proactively manage project archetypes while researchers should investigate what guides initial understandings of software projects.
KW - AI development
KW - Archetypes
KW - Cognitive Computing
KW - IBM Watson
KW - Platforms
UR - http://www.scopus.com/inward/record.url?scp=85182795596&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85182795596&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85182795596
T3 - International Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation"
BT - International Conference on Information Systems, ICIS 2022
PB - Association for Information Systems
Y2 - 9 December 2022 through 14 December 2022
ER -