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Academic Journal

Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation.

Subjects: *Design science; *Technological innovations; Machine learning

  • Source: Journal of Management Information Systems. 2024, Vol. 41 Issue 1, p39-72. 34p.

  • Abstract: In contrast with the accelerating trend of boundary-spanning (horizontal) technological innovation, the current Cooperative Patent Classification (CPC) scheme applies a hierarchical (vertical) structure to innovation ...

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Academic Journal

HOW AI-BASED SYSTEMS CAN INDUCE REFLECTIONS: THE CASE OF AI-AUGMENTED DIAGNOSTIC WORK.

Subjects: Machine learning; Clinical decision support systems; Radioscopic diagnosis

  • Source: MIS Quarterly. Dec2023, Vol. 47 Issue 4, p1395-1424. 29p.

  • Abstract: This paper addresses a thus-far neglected dimension in human-artificial intelligence (AI) augmentation: machine-induced reflections. By establishing a grounded theoretical-informed model ...

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Academic Journal

ROLEX: A NOVEL METHOD FOR INTERPRETABLE MACHINE LEARNING USING ROBUST LOCAL EXPLANATIONS.

Subjects: *Medical care; *Big data; Machine learning

  • Source: MIS Quarterly. Sep2023, Vol. 47 Issue 3, p1303-1332. 30p. 4 Color Photographs, 8 Diagrams, 12 Charts, 3 Graphs.

  • Abstract: Recent developments in big data technologies are revolutionizing the field of healthcare predictive analytics (HPA), enabling researchers to explore challenging problems using complex prediction models. ...

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Academic Journal

EXTRACTING ACTIONABLE INSIGHTS FROM TEXT DATA: A STABLE TOPIC MODEL APPROACH.

Subjects: *Bayesian analysis; *Consumers' reviews; *Information sharing

  • Source: MIS Quarterly. Sep2023, Vol. 47 Issue 3, p923-954. 32p. 1 Diagram, 12 Charts, 5 Graphs.

  • Abstract: Topic models are becoming a frequently employed tool in the empirical methods repertoire of information systems and management scholars. Given textual corpora, such as consumer ...

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Periodical

How Machine Learning Will Transform Supply Chain Management.

Subjects: *Supply chain management; *Artificial intelligence in business; *Artificial intelligence in industry

  • Source: Harvard Business Review. Mar/Apr2024, p128-137. 10p. 4 Color Photographs.

  • Abstract: Businesses need better planning to make their supply chains more agile and resilient. After explaining the shortcomings of traditional planning systems, the authors describe their ...

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Periodical

Machine unlearning.

Subjects: *RIGHT to be forgotten; *MACHINE learning; *CHATBOTS

  • Source: New Scientist. 11/4/2023, Vol. 260 Issue 3463, p40-43. 4p. 1 Color Photograph, 2 Cartoon or Caricatures.

  • Abstract: But Cao's particular method only worked for models that were far simpler than the LLMs behind today's AI chatbots. It gets worse, though, because Al-powered ... Copyright of New Scientist is the property of New Scientist Ltd. and its content may not be copied or emailed to multiple sites or ...

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Academic Journal

Orchestrating Human-Machine Designer Ensembles during Product Innovation.

Subjects: *New product development; *Technological innovations; *Algorithms

  • Source: California Management Review. May2023, Vol. 65 Issue 3, p27-47. 21p. 1 Diagram, 1 Chart.

  • Abstract: Product innovation increasingly involves both human designers (engineers, developers, lead users, creative geniuses, and other innovators) and machine designers (algorithmically organized ...

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Academic Journal

Recognizing and Utilizing Novel Research Opportunities with Artificial Intelligence.

Subjects: *Artificial intelligence; *Management; *Empirical research

  • Source: Academy of Management Journal. Apr2023, Vol. 66 Issue 2, p367-373. 7p. 1 Chart.

  • Abstract: An editorial is presented which explores the utilization of artificial intelligence in the field of management, with an emphasis on research opportunities. The application of ...

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Academic Journal

Introduction to the Special Issue.

Subjects: Machine learning; Active learning; Science conferences

  • Source: Journal of Management Information Systems. 2023, Vol. 40 Issue 1, p3-6. 4p.

  • Abstract: Recent years have proven to be among the most challenging on record for organizations and society at large. Information systems (IS) professionals versed in analytics ...

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  • 1-10 of  122,888 results for ""MACHINE learning""