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Artificial Intelligence and Motivation in Distributed Software Development teams

Krishnan, Renjith LU and Wickberg, Johanna LU (2023) INFM10 20231
Department of Informatics
Abstract
Distributed software development (DSD) teams have become increasingly popular among organizations. While the distributed teams come with certain benefits such as reduced costs, availability of remote workforce and a bigger skill base, they also come with challenges. One of the main challenges in DSD teams is keeping the employees motivated while working in a virtual environment. As motivation in DSD teams remains challenging, the intro-duction of open and generative AI as a disruptor makes this situation even more complicated. This study examines the emergence of generative AI and its effects on the motivation of DSD teams. The study uses a qualitative and inductive approach in order to identify current aspects of motivation and feelings... (More)
Distributed software development (DSD) teams have become increasingly popular among organizations. While the distributed teams come with certain benefits such as reduced costs, availability of remote workforce and a bigger skill base, they also come with challenges. One of the main challenges in DSD teams is keeping the employees motivated while working in a virtual environment. As motivation in DSD teams remains challenging, the intro-duction of open and generative AI as a disruptor makes this situation even more complicated. This study examines the emergence of generative AI and its effects on the motivation of DSD teams. The study uses a qualitative and inductive approach in order to identify current aspects of motivation and feelings toward the emergence of generative AI. The study has found different aspects where generative AI could enhance, challenge, or not affect motivation. Furthermore, resistance towards adoption was also detected, where the researchers pro-pose a way of tackling the issue. (Less)
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author
Krishnan, Renjith LU and Wickberg, Johanna LU
supervisor
organization
alternative title
Understanding the impact of generative AI on the mo-tivation of members of DSD teams
course
INFM10 20231
year
type
H1 - Master's Degree (One Year)
subject
keywords
Artificial Intelligence (AI), Distributed software development (DSD), Motivation, virtual teams, generative AI
language
English
id
9122547
date added to LUP
2023-06-14 10:47:31
date last changed
2023-06-14 10:47:31
@misc{9122547,
  abstract     = {{Distributed software development (DSD) teams have become increasingly popular among organizations. While the distributed teams come with certain benefits such as reduced costs, availability of remote workforce and a bigger skill base, they also come with challenges. One of the main challenges in DSD teams is keeping the employees motivated while working in a virtual environment. As motivation in DSD teams remains challenging, the intro-duction of open and generative AI as a disruptor makes this situation even more complicated. This study examines the emergence of generative AI and its effects on the motivation of DSD teams. The study uses a qualitative and inductive approach in order to identify current aspects of motivation and feelings toward the emergence of generative AI. The study has found different aspects where generative AI could enhance, challenge, or not affect motivation. Furthermore, resistance towards adoption was also detected, where the researchers pro-pose a way of tackling the issue.}},
  author       = {{Krishnan, Renjith and Wickberg, Johanna}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Artificial Intelligence and Motivation in Distributed Software Development teams}},
  year         = {{2023}},
}