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Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration

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arxiv 2207.02212 v1 pith:VEHEJ5QY submitted 2022-06-28 cs.HC cs.IR

Eyyub Can Odacioglu , Lihong Zhang , Richard Allmendinger This is my paper · ORCID
classification cs.HCcs.IR
keywords projectstudiescasecategoriescollaborationgroundedmanagementtheory
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This paper proposes an Artificial Intelligence (AI) Grounded Theory for management studies. We argue that this novel and rigorous approach that embeds topic modelling will lead to the latent knowledge to be found. We illustrate this abductive method using 51 case studies of collaborative innovation published by Project Management Institute (PMI). Initial results are presented and discussed that include 40 topics, 6 categories, 4 of which are core categories, and two new theories of project collaboration.

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  1. A Novel, Human-in-the-Loop Computational Grounded Theory Framework for Big Social Data

    cs.HC 2025-06 conditional novelty 5.0 of 10

    A human-in-the-loop computational grounded theory framework that adds data exploration, validation, and theoretical sampling to topic-model based coding is introduced and illustrated on Reddit tutoring posts.

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