First PhD paper, presented through Entrenova 2025.
This was my first officially published paper as part of the PhD journey: presented through the Entrenova 2025 conference context, then formally published on February 22, 2026. It focuses on a simple but important question: when does AI genuinely strengthen Agile Scrum work, and when does it begin to harm it?
Rather than treating artificial intelligence as an automatic productivity gain, the paper argues for a contextual view. The practical value of AI depends on where it is introduced, how teams use it, and what it changes in communication, judgment, and coordination.
Why it matters
First formally published paper within my PhD track.
Anchors the research around context instead of assuming AI is always beneficial.
Connects practical Agile Scrum delivery work with a structured academic research agenda.
Citation
Radulović, F., & Klobučar, T. (2026). When AI Helps, When It Hurts: A Contextual Research Framework for Integrating Artificial Intelligence into Agile Scrum Workflows. ENTRENOVA - ENTerprise REsearch InNOVAtion Journal, 11(1). https://doi.org/10.54820/entrenova-2025-0058
Artificial intelligence should not be treated as a universally positive addition to Agile Scrum. Its impact depends on the context in which teams use it, the tasks it is applied to, and the conditions around collaboration and decision-making.
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The research direction
The paper proposes a contextual research framework for studying when AI improves Agile Scrum workflows and when it introduces friction, weakens team interaction, or distorts judgment.
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Why it matters
That framing turns the topic from trend-following into something testable: not whether AI is good in the abstract, but under which conditions it creates useful support versus operational harm.