scispace - formally typeset
F

Florian Kragulj

Researcher at Vienna University of Economics and Business

Publications -  30
Citations -  132

Florian Kragulj is an academic researcher from Vienna University of Economics and Business. The author has contributed to research in topics: Organizational learning & Computer science. The author has an hindex of 6, co-authored 20 publications receiving 100 citations. Previous affiliations of Florian Kragulj include University of Vienna.

Papers
More filters
Proceedings ArticleDOI

Creation of Need Knowledge in Organizations: An Abductive Framework

TL;DR: This paper will explore how a framework based on an abductive reasoning process for the creation and discovery of knowledge about needs in organizations can look like and what the main steps of such a framework are, in order to integrate this approach into the model of the knowledge-based firm.
Journal ArticleDOI

Two forms of organizational unlearning: Insights from engaged scholarship research with change consultants:

TL;DR: In this paper, the authors present empirical insights into how the unlearning process unfolds in practice, based on the findings of a study with change co-authors and organizational unlearning models.

Creating Knowledge of Need: A Methodological Framework for its Abductive Inference

TL;DR: In this article, the authors propose a framework for creating knowledge of need, which can be understood as explicit knowledge about one's needs and desires. But they do not consider the role of researchers in the knowledge creation process.
Book ChapterDOI

Ontology for Representing Human Needs

TL;DR: The proposed OpeNeeD ontology will facilitate need management in the design of information systems supporting participation and participatory innovation and enable the representation of citizens’ needs as Linked Data, fostering its co-creation and incentivizing the use of Open Data and services based on it.

Extending the Organizational Learning Process in Order to Enable Innovative Ideas

TL;DR: The research question of the paper is the following: How does the use of Learning from Interacting with an Envisioned Future as an additional learning mode support the quality and quantity of innovative ideas?