The University Social Responsibility Framework by the International Federation of Catholic Universities: A Case of “Intelligent” Co-creation

Bartrolí, Montse

doi:10.1007/978-3-030-70013-3_2

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Among qualitative methods, ANT has also historically been combined with autoethnography in various studies on organizations (Alonso Trillo & Poliks, 2023;Bartrolí, 2021;Cecez-Kecmanovic et al, 2014). It has also been combined with ethnography in other studies (Andersen et al, 2015;Bartlett & Vavrus, 2014;Eze, Duan, & Chen, 2014;Greenhalgh et al, 2019;Lawrence & Dover, 2015;Martin & Schouten, 2014;Prado & Calani Baranauskas, 2014;Sidorova, 2018;Warner & Waeger, 2019).…”

Section: Ant In Organizationsmentioning

confidence: 99%

From Analog to Algorithm

Monteiro,

Ayrosa

2024

BRAJIS

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In the digital age, the current Management literature remains heavily rooted in anthropocentric and analog perspectives, often overlooking the profound influence of algorithms and artificial intelligence (AI) in modern organizational dynamics. To this end, this systematic literature review seeks to bridge this gap by exploring the evolving landscape of AI in organizations and the role of the Actor-Network Theory (ANT) as a theoretical-methodological lens for understanding AI’s impact on Management. Through a systematic literature review, we address research on the utilization of AI in Management over the past decade, the applications of ANT in non-IT or non-AI management studies, and studies explaining IT or AI concepts via ANT. Our findings highlight a significant research gap in understanding human-machine interactions and Business Management within organizations that use AI. Additionally, we identify potential avenues for future scholarly contributions, emphasizing the need for a more integrated approach that considers human and machine actors in organizational contexts.

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