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Intelligent ERP: The general concept and a system assessment
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 10.85 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Enterprise Resource Planning (ERP) systems have been developing gradually. A recent development
are intelligent ERP systems (i-ERP). The interest in companies is increasing, whilst the offer is low and
the path towards a more intelligent ERP is unclear. The problem is that there is no clear concept in
academic research. This qualitative study uses Design Science Research Methodology to answer the
questions of what an i-ERP is, how it could look like and how to differentiate, assess, and advance
system development towards i-ERP.
It became clear that i-ERP can be explained with four dimensions (Prerequisite, Data, Process, and User
Experience) achieved through the application of intelligent (Artificial Intelligence, Machine Learning,
Robotic Process Automation, Data Analytics) and prerequisite technology concepts (Cloud Computing,
Big Data, Internet of the Things). A concept of i-ERP could be built, indicating the main features, goals,
and role of technologies and the components of i-ERP and their relations could be visualized in a model.
To show a possible development path, development steps from traditional towards intelligent ERP
were proposed. Taking these as a fundament, a system assessment, and targeted recommendations
to advance towards an i-ERP could be created.
The proposals were validated through interviews with experts. The usability was demonstrated with a
fictional example. Academic value is added by providing a fundamental, conceptual understanding of
i-ERP and a path to reach it, opening new research opportunities with and around i-ERP. Practical value
is added for system users to comprehend i-ERP and make decisions about use or benefits and for
system providers to see what system developments should be considered to staying competitive.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
Palavras-chave
ERP i-ERP Intelligent ERP Artificial Intelligence RPA Machine Learning Data Analytics