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Adaptation of Enterprise Modeling Methods for Large Language Models
13 references·1 citing·50 second hop
Adaptation of Enterprise Modeling Methods for Large Language Models (2023)Adaptation of Enterprise Modeling Methods…GPTs are GPTs: Labor market impact potential of LLMs (2024)GPTs are GPTs: Labor market i…Just Tell Me: Prompt Engineering in Business Process Management (2023)Just Tell Me: Prompt Engineer…Generative AI entails a credit–blame asymmetry (2023)Generative AI entails a credi…ChatGPT—a foe or an ally? (2023)ChatGPT—a foe or an ally?Taxonomy of Risks posed by Language Models (2022)Taxonomy of Risks posed by La…GPT-3: Its Nature, Scope, Limits, and Consequences (2020)GPT-3: Its Nature, Scope, Lim…Enterprise modelling: Research review and outlook (2020)Enterprise modelling: Researc…From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling (2018)From Expert Discipline to Com…The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms (2017)The forthcoming Artificial In…Enterprise Modeling (2014)Enterprise ModelingAn Intentional Perspective on Enterprise Modeling (2010)An Intentional Perspective on…Enterprise Modelling and Integration (2003)Enterprise Modelling and Inte…An Explorative Study into the Influence of Business Goals on the Practical Use of Enterprise Modelling Methods and Tools (2002)An Explorative Study into the…Grass-Root Enterprise Modelling: How Large Language Models Can Help (2024)Grass-Root Enterprise Modelli…Quality, productivity, and competitive position (1982)A Dynamic Theory of Organizational Knowledge Creation (1994)Enterprise modeling and integration : principles and applications (1996)Standards on enterprise integration and engineering—state of the art (2004)Business process modeling through the knowledge management perspective (2006)Big data: a revolution that will transform how we live, work, and think (2013)Superintelligence: paths, dangers, strategies (2015)The future of employment: How susceptible are jobs to computerisation? 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this work references cited by second hop

References

  • 2020GPT-3: Its Nature, Scope, Limits, and Consequences2,728 cited
  • 2017The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms2,011 cited
  • 2022Taxonomy of Risks posed by Language Models861 cited
  • 2024GPTs are GPTs: Labor market impact potential of LLMs826 cited
  • 2014Enterprise Modeling209 cited
  • 2003Enterprise Modelling and Integration170 cited
  • 2018From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling111 cited
  • 2023Generative AI entails a credit–blame asymmetry94 cited
  • 2020Enterprise modelling: Research review and outlook92 cited
  • 2023Just Tell Me: Prompt Engineering in Business Process Management69 cited
  • 2002An Explorative Study into the Influence of Business Goals on the Practical Use of Enterprise Modelling Methods and Tools39 cited
  • 2010An Intentional Perspective on Enterprise Modeling27 cited
  • 2023ChatGPT—a foe or an ally?27 cited

Cited by

  • 2024Grass-Root Enterprise Modelling: How Large Language Models Can Help8 cited

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