When Generative AI Becomes a Colleague: Managers Making Sense of AI Advice at Work
(2026) BUSN49 20261Department of Business Administration
- Abstract
- Abstract
Title: When Generative AI Becomes a Colleague: Managers Making Sense of AI Advice at Work
Authors: Bajramović, Almir; Saleh, Samar
Submission Date: 27th of May, 2026
Word Count: 21 238
Supervisor: Sverre Spoelstra
Aim: This study explores how managers interpret, evaluate and integrate Generative AI (GenAI) as a source of advice in their day-to-day work. As GenAI becomes more embedded in organizational contexts, the study identifies a need to better understand how managers make sense of AI-generated suggestions in situations characterized by ambiguity, time pressure and uncertainty.
Methodology: In this qualitative study, we adopt an abductive approach within an interpretivist framework. Seven semi-structured... (More) - Abstract
Title: When Generative AI Becomes a Colleague: Managers Making Sense of AI Advice at Work
Authors: Bajramović, Almir; Saleh, Samar
Submission Date: 27th of May, 2026
Word Count: 21 238
Supervisor: Sverre Spoelstra
Aim: This study explores how managers interpret, evaluate and integrate Generative AI (GenAI) as a source of advice in their day-to-day work. As GenAI becomes more embedded in organizational contexts, the study identifies a need to better understand how managers make sense of AI-generated suggestions in situations characterized by ambiguity, time pressure and uncertainty.
Methodology: In this qualitative study, we adopt an abductive approach within an interpretivist framework. Seven semi-structured interviews were conducted with managers from different organizational contexts who actively used GenAI in their professional work. We have analyzed empirical material through the lens of sensemaking theory, with a specific focus on extracted cues, plausibility, identity construction and social context.
Contributions: Our study demonstrates how AI-generated advice becomes embedded within managerial interpretation and judgment rather than functioning only as external decision support. The study further shows how AI-generated formulation shapes managerial reasoning, influencing how organizational situations are understood before decisions are consciously evaluated. The study therefore contributes to advice-taking and managerial sensemaking literature by arguing that AI-generated formulation itself can function as a form of advice before decisions are consciously evaluated.
Keywords: Generative AI, managerial sensemaking, AI-generated advice, formulation, plausibility, managerial judgment, AI-supported managerial work (Less) - Popular Abstract
- Abstract
Title: When Generative AI Becomes a Colleague: Managers Making Sense of AI Advice at Work
Authors: Bajramović, Almir; Saleh, Samar
Submission Date: 27th of May, 2026
Word Count: 21 238
Supervisor: Sverre Spoelstra
Aim: This study explores how managers interpret, evaluate and integrate Generative AI (GenAI) as a source of advice in their day-to-day work. As GenAI becomes more embedded in organizational contexts, the study identifies a need to better understand how managers make sense of AI-generated suggestions in situations characterized by ambiguity, time pressure and uncertainty.
Methodology: In this qualitative study, we adopt an abductive approach within an interpretivist framework. Seven semi-structured... (More) - Abstract
Title: When Generative AI Becomes a Colleague: Managers Making Sense of AI Advice at Work
Authors: Bajramović, Almir; Saleh, Samar
Submission Date: 27th of May, 2026
Word Count: 21 238
Supervisor: Sverre Spoelstra
Aim: This study explores how managers interpret, evaluate and integrate Generative AI (GenAI) as a source of advice in their day-to-day work. As GenAI becomes more embedded in organizational contexts, the study identifies a need to better understand how managers make sense of AI-generated suggestions in situations characterized by ambiguity, time pressure and uncertainty.
Methodology: In this qualitative study, we adopt an abductive approach within an interpretivist framework. Seven semi-structured interviews were conducted with managers from different organizational contexts who actively used GenAI in their professional work. We have analyzed empirical material through the lens of sensemaking theory, with a specific focus on extracted cues, plausibility, identity construction and social context.
Contributions: Our study demonstrates how AI-generated advice becomes embedded within managerial interpretation and judgment rather than functioning only as external decision support. The study further shows how AI-generated formulation shapes managerial reasoning, influencing how organizational situations are understood before decisions are consciously evaluated. The study therefore contributes to advice-taking and managerial sensemaking literature by arguing that AI-generated formulation itself can function as a form of advice before decisions are consciously evaluated.
Keywords: Generative AI, managerial sensemaking, AI-generated advice, formulation, plausibility, managerial judgment, AI-supported managerial work (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/student-papers/record/9241329
- author
- Bajramovic, Almir LU and Saleh, Samar LU
- supervisor
- organization
- course
- BUSN49 20261
- year
- 2026
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Keywords: Generative AI, managerial sensemaking, AI-generated advice, formulation, plausibility, managerial judgment, AI-supported managerial work
- language
- English
- id
- 9241329
- date added to LUP
- 2026-06-18 16:38:46
- date last changed
- 2026-06-18 16:38:46
@misc{9241329,
abstract = {{Abstract
Title: When Generative AI Becomes a Colleague: Managers Making Sense of AI Advice at Work
Authors: Bajramović, Almir; Saleh, Samar
Submission Date: 27th of May, 2026
Word Count: 21 238
Supervisor: Sverre Spoelstra
Aim: This study explores how managers interpret, evaluate and integrate Generative AI (GenAI) as a source of advice in their day-to-day work. As GenAI becomes more embedded in organizational contexts, the study identifies a need to better understand how managers make sense of AI-generated suggestions in situations characterized by ambiguity, time pressure and uncertainty.
Methodology: In this qualitative study, we adopt an abductive approach within an interpretivist framework. Seven semi-structured interviews were conducted with managers from different organizational contexts who actively used GenAI in their professional work. We have analyzed empirical material through the lens of sensemaking theory, with a specific focus on extracted cues, plausibility, identity construction and social context.
Contributions: Our study demonstrates how AI-generated advice becomes embedded within managerial interpretation and judgment rather than functioning only as external decision support. The study further shows how AI-generated formulation shapes managerial reasoning, influencing how organizational situations are understood before decisions are consciously evaluated. The study therefore contributes to advice-taking and managerial sensemaking literature by arguing that AI-generated formulation itself can function as a form of advice before decisions are consciously evaluated.
Keywords: Generative AI, managerial sensemaking, AI-generated advice, formulation, plausibility, managerial judgment, AI-supported managerial work}},
author = {{Bajramovic, Almir and Saleh, Samar}},
language = {{eng}},
note = {{Student Paper}},
title = {{When Generative AI Becomes a Colleague: Managers Making Sense of AI Advice at Work}},
year = {{2026}},
}