Publicação
Intelligent ERP: The general concept and a system assessment
| dc.contributor.advisor | Santos, Vítor Manuel Pereira Duarte dos | |
| dc.contributor.author | Bertram, Yannic | |
| dc.date.accessioned | 2022-07-22T14:06:16Z | |
| dc.date.available | 2022-07-22T14:06:16Z | |
| dc.date.issued | 2022-07-01 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management | pt_PT |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 203044797 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/142295 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | ERP | pt_PT |
| dc.subject | i-ERP | pt_PT |
| dc.subject | Intelligent ERP | pt_PT |
| dc.subject | Artificial Intelligence | pt_PT |
| dc.subject | RPA | pt_PT |
| dc.subject | Machine Learning | pt_PT |
| dc.subject | Data Analytics | pt_PT |
| dc.title | Intelligent ERP: The general concept and a system assessment | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Gestão de Informação, especialização em Gestão dos Sistemas e Tecnologias de Informação | pt_PT |