Agile AI-Quality Management Concerning LEAN Solutions from a Strategic Perspective

Irsa Wolfram

A chapter in Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024, 2025, pp 33-43 from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb

Abstract: The paper describes the research work about the strategic imperative for agile quality management systems in medical engineering companies in Austrian, Germany, and Switzerland until 2030. The industry operates in a volatile, uncertain, complex, and ambiguous (VUCA) environment, where the advantage of agility is expressed in an Agile Performance Index. Although, current developments of artificial intelligence (AI) need to be factored in. The goal of the research work is to answer a research question about how the strategic imperative can be determined by taking AI into account. Literature review and applying a qualitative research approach with nine expert interviews unveiled four main dimensions: (1) societal impact, (2) operational compatibility, (3) data quality, and (4) model performance. It solicits new approaches for resilient processes. Further, it enables the decision makers to keep the long-term ramifications in mind by leveraging attractive spot business. The result of the research is explained with a SWOT analysis, which contains nine distinct different strategies to tackle the challenges in an VUCA environment for medical engineering companies.

Keywords: Artificial Intelligence; Digitalization; LEAN Management; Qualitative Research; Technological Transformation (search for similar items in EconPapers)
JEL-codes: D70 L17 O33 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:entr24:317947

DOI: 10.54820/entrenova-2024-0004

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