GI LogoGI Logo
  • Anmelden
Digitale Bibliothek
    • Gesamter Bestand

      • Bereiche & Sammlungen
      • Titel
      • Autor
      • Erscheinungsdatum
      • Schlagwort
    • Diese Sammlung

      • Titel
      • Autor
      • Erscheinungsdatum
      • Schlagwort
Digital Bibliothek der Gesellschaft für Informatik e.V.
GI-DL
    • English
    • Deutsch
  • Deutsch 
    • English
    • Deutsch
Dokumentanzeige 
  •   Startseite
  • Fachbereiche
  • Wirtschaftsinformatik (WI)
  • Business & Information Systems Engineering - The International Journal of WIRTSCHAFTSINFORMATIK
  • BISE 63(1) - February 2021
  • Dokumentanzeige
JavaScript is disabled for your browser. Some features of this site may not work without it.
  •   Startseite
  • Fachbereiche
  • Wirtschaftsinformatik (WI)
  • Business & Information Systems Engineering - The International Journal of WIRTSCHAFTSINFORMATIK
  • BISE 63(1) - February 2021
  • Dokumentanzeige

Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors

Autor(en):
Jöhnk, Jan [DBLP] ;
Weißert, Malte [DBLP] ;
Wyrtki, Katrin [DBLP]
Zusammenfassung
Artificial intelligence (AI) offers organizations much potential. Considering the manifold application areas, AI’s inherent complexity, and new organizational necessities, companies encounter pitfalls when adopting AI. An informed decision regarding an organization’s readiness increases the probability of successful AI adoption and is important to successfully leverage AI’s business value. Thus, companies need to assess whether their assets, capabilities, and commitment are ready for the individual AI adoption purpose. Research on AI readiness and AI adoption is still in its infancy. Consequently, researchers and practitioners lack guidance on the adoption of AI. The paper presents five categories of AI readiness factors and their illustrative actionable indicators. The AI readiness factors are deduced from an in-depth interview study with 25 AI experts and triangulated with both scientific and practitioner literature. Thus, the paper provides a sound set of organizational AI readiness factors, derives corresponding indicators for AI readiness assessments, and discusses the general implications for AI adoption. This is a first step toward conceptualizing relevant organizational AI readiness factors and guiding purposeful decisions in the entire AI adoption process for both research and practice.
  • Vollständige Referenz
  • BibTeX
Jöhnk, J., Weißert, M. & Wyrtki, K., (2021). Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors.   Business & Information Systems Engineering: Vol. 63, No. 1. Springer. (S. 5-20). DOI: 10.1007/s12599-020-00676-7
@article{mci/Jöhnk2021,
author = {Jöhnk, Jan AND Weißert, Malte AND Wyrtki, Katrin},
title = {Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors},
journal = {Business & Information Systems Engineering},
volume = {63},
number = {1},
year = {2021},
,
pages = { 5-20 } ,
doi = { 10.1007/s12599-020-00676-7 }
}

Sollte hier kein Volltext (PDF) verlinkt sein, dann kann es sein, dass dieser aus verschiedenen Gruenden (z.B. Lizenzen oder Copyright) nur in einer anderen Digital Library verfuegbar ist. Versuchen Sie in diesem Fall einen Zugriff ueber die verlinkte DOI: 10.1007/s12599-020-00676-7

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken

Mehr Information

DOI: 10.1007/s12599-020-00676-7
ISSN: 1867-0202
Datum: 2021
Typ: Text/Journal Article

Keywords

  • AI adoption
  • AI readiness
  • Artificial intelligence
  • Interview study
  • Organizational readiness assessment
Sammlungen
  • BISE 63(1) - February 2021 [7]

Zur Langanzeige


Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 


Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.