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What about training? A qualitative study of gamification and AI in training during ERP implementation

Påander, Erik and Risöy Lundberg, Vincent LU (2025) INFM10 20251
Department of Informatics
Abstract
Enterprise resource planning (ERP) systems are far reaching within organisations, making
ERP implementations highly susceptible to failure. This thesis investigates how change professionals of a large international organisation perceive the role of gamification and artificial
intelligence (AI) during ERP implementation and how it can be used to enhance training.
While training is widely acknowledged as a critical success factor in ERP rollouts, the study
finds that the organisation lacks a coherent training strategy. Using a qualitative and inductive
approach grounded in interpretivism and semi-structured interviews, a somewhat decentralised and reactive training environment was revealed. Gamification, although perceived as
having... (More)
Enterprise resource planning (ERP) systems are far reaching within organisations, making
ERP implementations highly susceptible to failure. This thesis investigates how change professionals of a large international organisation perceive the role of gamification and artificial
intelligence (AI) during ERP implementation and how it can be used to enhance training.
While training is widely acknowledged as a critical success factor in ERP rollouts, the study
finds that the organisation lacks a coherent training strategy. Using a qualitative and inductive
approach grounded in interpretivism and semi-structured interviews, a somewhat decentralised and reactive training environment was revealed. Gamification, although perceived as
having great potential, is currently underutilised in the organisation as a method to drive engagement and provide structure. AI, meanwhile, was viewed as a future opportunity to personalise training and aid in the development and understanding of training material. Drawing
on ERP training and gamification frameworks, the study highlights the gap between perceived
potential and actual implementation, suggesting an integration of gamification to provide
structure and strategy in an incoherent training environment. (Less)
Please use this url to cite or link to this publication:
author
Påander, Erik and Risöy Lundberg, Vincent LU
supervisor
organization
course
INFM10 20251
year
type
H1 - Master's Degree (One Year)
subject
keywords
Artificial Intelligence, ERP, Gamification, Implementation, Training
language
English
id
9202100
date added to LUP
2025-06-18 10:32:06
date last changed
2025-06-18 10:32:06
@misc{9202100,
  abstract     = {{Enterprise resource planning (ERP) systems are far reaching within organisations, making
ERP implementations highly susceptible to failure. This thesis investigates how change professionals of a large international organisation perceive the role of gamification and artificial
intelligence (AI) during ERP implementation and how it can be used to enhance training.
While training is widely acknowledged as a critical success factor in ERP rollouts, the study
finds that the organisation lacks a coherent training strategy. Using a qualitative and inductive
approach grounded in interpretivism and semi-structured interviews, a somewhat decentralised and reactive training environment was revealed. Gamification, although perceived as
having great potential, is currently underutilised in the organisation as a method to drive engagement and provide structure. AI, meanwhile, was viewed as a future opportunity to personalise training and aid in the development and understanding of training material. Drawing
on ERP training and gamification frameworks, the study highlights the gap between perceived
potential and actual implementation, suggesting an integration of gamification to provide
structure and strategy in an incoherent training environment.}},
  author       = {{Påander, Erik and Risöy Lundberg, Vincent}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{What about training? A qualitative study of gamification and AI in training during ERP implementation}},
  year         = {{2025}},
}