Abstract
In this chapter, we depict the goals and the content of the elaboration. The written composition is structured into the main parts ERP fundamentals, concepts for embedding artificial intelligence, implementation framework, and case studies. We also briefly explain the problem space, our solution proposal, the approach for deducing the results, and the added value of our findings. For deriving the business requirements and resolving them, we analyzed 60 artificial intelligence ERP use cases and 20 ERP products, which are also itemized in this chapter.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Akerkar, R. (2019). Artificial intelligence for business. Springer.
Canhoto, A., & Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, 63(2), 183.
Chen, L., Jiang, M., Jia, F., & Liu, G. (2021). Artificial intelligence adoption in business-to-business marketing: Toward a conceptual framework. Journal of Business & Industrial Marketing, 37(5).
Cubric, M. (2020). Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study. Technology in Society, 62, 101257.
Goldkuhl, G. (2002). Anchoring scientific abstractions ontological and linguistic determination following socio-instrumental pragmatism. In European conference on research methods in business and management (pp. 29–30).
Gregor, S., & Hevner, A. R. (2013). Positioning and presenting design science research for maximum impact. MIS Quarterly, 37(2), 337–355.
Guenole, N., & Feinzig, S. (2018). The business case for AI in HR. Retrieved from https://forms.workday.com/content/dam/web/en-us/documents/case-studies/ibm-business-case-ai-in-hr.pdf
Hevner, A., & Chatterjee, S. (2010). Design research in information systems. Springer.
IDC. (2020). Worldwide enterprise resource planning software market shares, 2020: The advance of modular and intelligent ERP systems.
IDC. (2022a). IDC FutureScape: Worldwide artificial intelligence and automation 2023 predictions.
Janich, P. (1997). Kleine Philosophie der Naturwissenschaften. BeckscheReihe 1203.
Janich, P. (2005). Was ist Wahrheit? Eine philosophische Einführung. C.H. Beck.
Janich, P. (2006). Was ist information? Kritik einer Legende. Suhrkamp.
Kerzel, U. (2020). Enterprise AI canvas integrating artificial intelligence into business. Applied Artificial Intelligence, 35.
Sarferaz, S. (2022). Compendium on Enterprise resource planning. Springer.
Soni, N., Sharma, E., Singh, N., & Kapoor, A. (2020). Artificial intelligence in business: From research and innovation to market deployment. Procedia Computer Science, 167, 2200.
Venable, J., Pries-Heje, J., & Baskerville, R. (2016). FEDS: A framework for evaluation in design science research. European Journal of Information Systems, 25, 77–89.
Wilson, J. (2002). Responsible authorship and peer review. Science and Engineering Ethics, 8(2), 155–174.
Winter, R. (2008). Design science research in Europe. European Journal of Information Systems, 17, 470–475.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Sarferaz, S. (2024). Methodology. In: Embedding Artificial Intelligence into ERP Software . Springer, Cham. https://doi.org/10.1007/978-3-031-54249-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-54249-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-54248-0
Online ISBN: 978-3-031-54249-7
eBook Packages: Computer ScienceComputer Science (R0)