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Enterprise Large Language Models: Knowledge Characteristics, Risks and Organizational Activities
2 references·3 citing·16 second hop
Enterprise Large Language Models: Knowledge Characteristics, Risks and Organizational Activities (2023)Enterprise Large Language Models: Knowled…Massive data language models and conversational artificial intelligence: Emerging issues (2022)Massive data language models …Auditor environmental assessments (2003)Auditor environmental assessm…Generative AI and digital resilience: a research agenda (2025)Generative AI and digital res…Intelligent smelting process, management system: Efficient and intelligent management strategy by incorporating large language model (2024)Intelligent smelting process,…Do Large Language Models Bias Human Evaluations? (2024)Do Large Language Models Bias…VALIDATION OF EXPERT SYSTEMS‐ WITH APPLICATIONS TO AUDITING AND ACCOUNTING EXPERT SYSTEMS* (1987)Determinants of judgment performance in accounting settings: Ability, knowledge, motivation, and environment (1993)The Knowledge Management Yearbook 1999-2000. (1999)On the relationship between citations and appearances on “top 25” download lists in the International Journal of Accounting Information Systems (2008)An eclectic approach to accounting information systems (2009)The Development of AudEx: An Audit Data Assessment System (2016)Gartner's hype cycle and information system research issues (2008)Ethics for Big Data and Analytics (2016)GPT-3: Its Nature, Scope, Limits, and Consequences (2020)Business Transformation Using Big Data Analytics and Machine Learning (2024)Challenges to Engineering Management in the Big Data Era (2015)The problem of information overload in business organisations: a review of the literature (2000)Using full agreement across multiple large language models for title-and-abstract screening in systematic reviews: a proof-of-concept (2026)Seeking Qualitative Rigor in Inductive Research (2012)Coding In-depth Semistructured Interviews (2013)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)
this work references cited by second hop

References

  • 2003Auditor environmental assessments35 cited
  • 2022Massive data language models and conversational artificial intelligence: Emerging issues29 cited

Cited by

  • 2024Intelligent smelting process, management system: Efficient and intelligent management strategy by incorporating large language model29 cited
  • 2024Do Large Language Models Bias Human Evaluations?13 cited
  • 2025Generative AI and digital resilience: a research agenda11 cited

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