Στρατηγικές ψηφιακού μετασχηματισμού στην εποχή του Industry 4.0 : η χρήση μεθοδολογιών Agile

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Keywords
Ψηφιακός μετασχηματισμός ; Τέταρτη βιομηχανική επανάσταση ; Agile ; Μηχανική μάθηση ; Τεχνητή νοημοσύνη ; Διαδίκτυο των Πραγμάτων (IoT) ; Ψηφιακή μεταρρύθμιση οργανώσεων ; Οργανωσιακή αλλαγή ; Ψηφιακή στρατηγική ; Καινοτομία ; Πολλαπλές μελέτες περίπτωσης ; Διαχείριση έργωνAbstract
This thesis examines the role of technology and digital transformation in firms, focusing
on large organizations’ transition to Agile methodologies. It reviews the concept and
types of digital transformation (customer experience, business process, business
model), its impacts and maturity, and key challenges (change resistance, skill gaps,
automation risks). It also presents emerging technologies (AI, IoT, blockchain, VR/AR)
and the Industry 4.0 context.
Methodology: a qualitative approach using comparative analysis of three industrial
case studies: (1) bauxite type recognition system (AI + IoT; Waterfall implementation),
(2) Data Management System (central data repository; hybrid approach), and (3)
entrapped-soda prediction model (ML; Agile implementation). Pettigrew’s framework
(content–process–context–time) guided the change analysis. Data were collected via
interviews, corporate documents and participant observation.
Key findings:
- Digital transformation improves operational efficiency, product quality and
enables new business models.
- Implementation methodology must match the project nature: hardware/OT-
heavy projects favor initial Waterfall phases; data/ML projects benefit from
Agile iterations; hybrid approaches suit complex initiatives.
- Critical success factors: end‐user involvement, continuous training/upskilling,
executive sponsorship and robust data management (governance, unified
repository).
- Agile methods deliver faster value and lower risk in uncertain, data-driven
projects (short sprints, continuous feedback, UAT).
- Main risks: scope changes, procurement/installation delays, lack of digital
skills, security concerns and digital exclusion.
Conclusion:
Technology and Agile practices are essential for competitiveness in Industry 4.0, but
successful adoption requires strategic planning, selecting the right methodology per
project, investing in people, and strong data and risk management.


