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Chapter

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Title

Human Intelligence vs. Artificial Intelligence in Opportunity Discovery

Authors

[ 1 ] Instytut Zarządzania i Systemów Informacyjnych, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[6.6] Management and quality studies

Year of publication

2023

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • Opportunity discovery
  • Strategic management
  • Agile enterprise
  • Cognitive traits
  • Artificial intelligence
Abstract

EN Opportunity is a core phenomenon in theories of: strategic management, entrepreneurship and agile enterprise. Usually it is meant as an external situation which favours the enterprise achieving its objectives and goals with accessible resources. Strategists and entrepreneurs search for opportunities to improve the firm’s performance. Some of them do this intuitively when others apply methods of strategic analysis and/or conduct marketing research. The Artificial intelligence particular cognitive computing creates new possibilities to discover opportunities. The aim of this paper is tonpresent a general model of opportunity recognition that applies to all above mentioned approaches. Basing on this model a review of traditional methods of opportunity discovery, exploiting mostly human intelligence, is presented. Next a generic model of Artificial Intelligence aided opportunity discovery is discussed. The article also shows the results of a study of companies’ use of traditional opportunity discovery methods and preliminary results of a study of opportunity discovery using artificial intelligence.

Pages (from - to)

100 - 110

URL

https://doi.org/10.54941/ahfe1003512

Book

Human aspects of advanced manufacturing. Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, San Francisco, USA, 20-24, July, 2023

Presented on

14th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, 20-24.07.2023, San Francisco, United States

License type

other

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of chapter

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Access level to full text

public

Ministry points / chapter

5

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