Businesses are faced with an ever-changing environment of technology, one of these recurring changes is in the field of Enterprise resource planning (ERP) systems. Technologies such as business intelligence (BI), machine learning (ML) and internet of things (IoT), which are driving forces in shaping the next generation of ERP systems. These improved ERP systems can better support a company compared to a traditional ERP system. This thesis has examined what constitutes an intelligent-ERP and what possibilities it presents from a business perspective. To answer this question, a qualitative study approach was chosen by conducting interviews with professionals within the BI and ERP systems field. The interviews were structured in a loose fashioned way, aiming for a holistic perspective of the I-ERP systems phenomenon. This bachelor thesis transpired to show that I-ERP systems do improve business performance for companies that exhibit the needs. However, there occurred differences in the perception of the definition of how I-ERP systems should be defined between the participants and the literature.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kau-78993 |
| Date | January 2020 |
| Creators | Hedenstrand, Alex |
| Publisher | Karlstads universitet, Handelshögskolan (from 2013) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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