Titlebook: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Co; 43rd IFIP WG 5.7 Int Matthias Thürer,

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Grundzüge des Internationalen Steuerrechtsse and informative reports for management stakeholders. The results of the case study showcase the potential of LLM-powered tools like SentiProMo in streamlining business processes. By harnessing sentiment analysis, organizations can gain valuable insights into employee perceptions and identify area

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https://doi.org/10.1007/978-3-322-86540-3ing fuzzy logic modeling, the framework accommodates the inherent uncertainty and ambiguity in procurement operations, enabling organizations to make more informed decisions and optimize their procurement strategies. Through the case study and empirical validation, this work demonstrates the effecti

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Grundzüge des Internationalen Steuerrechts AHP and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods to include both industry practitioners and academic perspectives in the decision-making process. The process involved using AHP to analyze supply chain inefficiencies, with a focus on their impact on yield, harv

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Grundzüge des Internationalen Steuerrechtstering business innovation, system oversight, and regulatory frameworks in the food industry through collective endeavors. This work presents a benchmark for the imperative of empirical research via real-world implementations within the sector.

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https://doi.org/10.1007/978-3-031-71633-1Advanced Production Systems; Advanced Management Systems; Sustainable & Responsible Management; Smart M

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978-3-031-71635-5IFIP International Federation for Information Processing 2024

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IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/b/image/167304.jpg

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Grundzüge des Internationalen Steuerrechtsanufacturing sector. This paper presents SentiProMo, a self-developed tool that integrates sentiment analysis of collaborative comments with summarization features to enhance the design phase of business processes. Leveraging the capabilities of large language models (LLMs) such as Chat-GPT, this to