How to Achieve Hyperautomation? Towards a Maturity Model for SMEs
Christoph Tomitza (),
Lisa Straub (),
Ulvi Ibrahimli (),
Pascal Rützel (),
Christian Zeiß (),
Willy Kögler () and
Axel Winkelmann ()
Additional contact information
Christoph Tomitza: Julius-Maximilians-Universität Würzburg
Lisa Straub: Julius-Maximilians-Universität Würzburg
Ulvi Ibrahimli: Julius-Maximilians-Universität Würzburg
Pascal Rützel: Julius-Maximilians-Universität Würzburg
Christian Zeiß: Julius-Maximilians-Universität Würzburg
Willy Kögler: Julius-Maximilians-Universität Würzburg
Axel Winkelmann: Julius-Maximilians-Universität Würzburg
A chapter in Artificial Intelligence, Data, and Decision-Making, 2026, pp 227-236 from Springer
Abstract:
Abstract Companies have pursued automation for years. Small and medium-sized enterprises (SMEs) are still far from achieving complete hyperautomation of their entire company or individual areas of their business. There is uncertainty surrounding the causes and strategies for achieving a fully networked and autonomous process chain. In a DSR process, we aim to develop a tool that assists companies in recognizing the opportunities of hyperautomation, advancing their company step by step, and identifying current weaknesses. First, we analyze the problem space through focus groups with German SME partners. We extend the knowledge base through structured literature analysis to develop a comprehensive overview of hyperautomation barriers. Building on this, we aim to establish a success model before developing a maturity model as a second artifact as well as a canvas tool for evaluation. In this way, we support companies on their way to hyperautomated business processes.
Keywords: Hyperautomation; SME; Barriers; Maturity model; Process Automation (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-08480-4_15
Ordering information: This item can be ordered from
http://www.springer.com/9783032084804
DOI: 10.1007/978-3-032-08480-4_15
Access Statistics for this chapter
More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().