Artificial intelligence has firmly entered the collective imagination through books, films, and, more recently, news segments about mass surveillance, job replacement, complete automation, and technological singularity. In a way, the “mythology” around artificial intelligence significantly outgrows the already impressive advancements in the field. Therefore, it is not surprising that such ethos may shape and orient managerial perceptions of the future workplace, organizational design, culture, and norms. Although a mature research program, new institutional theory represents an appropriate lens through which the influence of AI on organizations and organizing can be studied. Conversely, the amount of neo-institutional literature on the topic is extremely scarce. In this paper, we first briefly present the research program, trace its historical development, and introduce the two fundamental concepts: institutional legitimization and isomorphism. Then, we critically review the available scholarly literature on AI and institutionalization. Finally, we discuss potential research questions and methodological challenges of applying neo-institutional insights to the study of artificial intelligence in organizations.

New Institutional Theory and AI: Algorithms as a Driving Force of Organizational Isomorphism

Aysan Bashirpour Bonab;Maria Fedele;
2023-01-01

Abstract

Artificial intelligence has firmly entered the collective imagination through books, films, and, more recently, news segments about mass surveillance, job replacement, complete automation, and technological singularity. In a way, the “mythology” around artificial intelligence significantly outgrows the already impressive advancements in the field. Therefore, it is not surprising that such ethos may shape and orient managerial perceptions of the future workplace, organizational design, culture, and norms. Although a mature research program, new institutional theory represents an appropriate lens through which the influence of AI on organizations and organizing can be studied. Conversely, the amount of neo-institutional literature on the topic is extremely scarce. In this paper, we first briefly present the research program, trace its historical development, and introduce the two fundamental concepts: institutional legitimization and isomorphism. Then, we critically review the available scholarly literature on AI and institutionalization. Finally, we discuss potential research questions and methodological challenges of applying neo-institutional insights to the study of artificial intelligence in organizations.
2023
978-2-9602195-5-5
File in questo prodotto:
File Dimensione Formato  
2324_Paper_0414101056.pdf

solo utenti autorizzati

Descrizione: Contributo in Atti di Convegno
Tipologia: Versione Editoriale (PDF)
Licenza: Copyright dell'editore
Dimensione 976.14 kB
Formato Adobe PDF
976.14 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11580/105143
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
social impact