AUGMENTED INFERENCE MAKING : ORGANIZAING THE CHAIN OF THOUGHT TRIALS FROM PERCEPTION TO CONCEPTION
(2025) 85th Annual Meeting of the Academy of Management, AOM 2025 In Academy of Management Annual Meeting Proceedings 2025.- Abstract
With the abundance of data and digital traces of human behavior that are currently available, and the accessible algorithmic analyses to analyze them, management scholars have the opportunity to expand their scope of theoretical discovery and tackle increasingly complex management. However, we need additional elaboration on how algorithmic analysis can augment humans inference making, and how to best integrate algorithmic analyses into inductive theory building processes. Addressing this need, we propose in this paper Augmented Inference Making as a distinct method to improve inductive theory building from large sets of textual data.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/6f2cd020-cacd-44f3-bf81-b4884e95f543
- author
- Hamadi, Hassan M. LU and Brattström, Anna LU
- organization
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Academy of Management Annual Meeting Proceedings
- series title
- Academy of Management Annual Meeting Proceedings
- volume
- 2025
- edition
- 1
- conference name
- 85th Annual Meeting of the Academy of Management, AOM 2025
- conference location
- Copenhagen, Denmark
- conference dates
- 2025-07-25 - 2025-07-29
- external identifiers
-
- scopus:105009402290
- ISSN
- 0065-0668
- DOI
- 10.5465/AMPROC.2025.50bp
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2025, Academy of Management. All rights reserved.
- id
- 6f2cd020-cacd-44f3-bf81-b4884e95f543
- date added to LUP
- 2025-12-22 10:59:24
- date last changed
- 2025-12-22 10:59:28
@inproceedings{6f2cd020-cacd-44f3-bf81-b4884e95f543,
abstract = {{<p>With the abundance of data and digital traces of human behavior that are currently available, and the accessible algorithmic analyses to analyze them, management scholars have the opportunity to expand their scope of theoretical discovery and tackle increasingly complex management. However, we need additional elaboration on how algorithmic analysis can augment humans inference making, and how to best integrate algorithmic analyses into inductive theory building processes. Addressing this need, we propose in this paper Augmented Inference Making as a distinct method to improve inductive theory building from large sets of textual data.</p>}},
author = {{Hamadi, Hassan M. and Brattström, Anna}},
booktitle = {{Academy of Management Annual Meeting Proceedings}},
issn = {{0065-0668}},
language = {{eng}},
series = {{Academy of Management Annual Meeting Proceedings}},
title = {{AUGMENTED INFERENCE MAKING : ORGANIZAING THE CHAIN OF THOUGHT TRIALS FROM PERCEPTION TO CONCEPTION}},
url = {{http://dx.doi.org/10.5465/AMPROC.2025.50bp}},
doi = {{10.5465/AMPROC.2025.50bp}},
volume = {{2025}},
year = {{2025}},
}