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  4. Understanding the influence mechanisms in agile collaboration: a network analysis

Understanding the influence mechanisms in agile collaboration: a network analysis

Citation Link: https://doi.org/10.15480/882.17564
Publikationstyp
Conference Paper
Date Issued
2026-03
Sprache
English
Author(s)
Batora, Mona
Smarte Entwicklung und Maschinenelemente M-19
Ognevoj, Roman
Musawi, Anusch
Smarte Entwicklung und Maschinenelemente M-19
Bugueno, Milenko
Pour Nikou, Elika Rajab
Busch, Marcel
Paetzold-Ritzer, Katharina
Smarte Entwicklung und Maschinenelemente M-19
Paetzold-Byhain, Kristin
Bursac, Nikola
Smarte Entwicklung und Maschinenelemente M-19
TORE-DOI
10.15480/882.17564
TORE-URI
https://hdl.handle.net/11420/64001
Journal
Procedia CIRP
Volume
142
Start Page
404
End Page
409
Citation
36th CIRP Design Conference, CIRP Design 2026
Contribution to Conference
36th CIRP Design Conference, CIRP Design 2026
Publisher DOI
10.1016/j.procir.2026.05.282
Scopus ID
2-s2.0-105042833550
Publisher
Elsevier
This research investigates the complex mechanisms that influence successful agile collaboration in product development environments. Despite the widespread adoption of agile methodologies, many organizations struggle to identify and address the critical factors that impact team performance and challenge resolution. The study applies Blessing and Chakrabarti’s Design Research Methodology, specifically utilizing the Reference Model, to construct and validate a comprehensive network of influencing factors. The research distinguishes between directly controllable factors (e.g., team size, communication frequency, physical workspace configuration) and indirectly influenceable factors (e.g., trust, team cohesion, psychological safety). Through hypothesis-driven network analysis, the study maps the relationships between these factors and examines how interventions targeting controllable elements cascade to affect the more intangible aspects of agile collaboration. Mixed-method validation studies are employed to assess these hypothesized relationships in diverse organizational contexts. Preliminary findings suggest that strategic manipulation of specific controllable factors can produce measurable improvements in traditionally difficult-to-influence team characteristics. This work contributes to both theoretical understanding of agile collaboration dynamics and provides practical guidance for teams seeking to optimize their agile implementation. The resulting validated model offers a diagnostic framework for identifying leverage points where targeted interventions can most effectively address collaboration challenges and enhance overall team performance in agile product development environments.
Subjects
Agile Collaboration
Agile Product Development
Influencing Factors
DDC Class
658.5: Of Production
005: Computer Programming, Programs, Data and Security
Funding(s)
Erarbeitung der Wirkzusammenhänge Agiler Methoden für die Informationsflussgestaltung zur Steigerung der Flexibilität und Effizienz bei der Entwicklung mechatronischer Systeme
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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