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Enhancing operational excellence in telecom deployment through digital transformation

2026Open accessNile University

Abstract

Digital transformation is reshaping how telecom infrastructure is planned, designed, implemented, and handed over, with direct implications for Operational Excellence (OE). This paper systematically reviews how four core digital capabilities, workflow digitalization, system integration, Robotic Process Automation (RPA), and Artificial Intelligence (AI), interact and reinforce each other to improve key OE dimensions: waste elimination, process quality, lead‑time reduction, and continuous improvement culture. Drawing on academic and industry literature from 2000 to 2025, as well as global operator case examples, the study defines and contextualizes digital transformation in telecom deployment, maps digital capabilities onto the telecom deployment value chain (planning, design, implementation, and handover)The findings show that when digitization, digitalization, and automation are sequenced and integrated across functions, they enable end‑to‑end visibility, standardization, and data‑driven decision-making, amplifying benefits not only in deployment but also in operations, customer service, marketing, and finance. At the same time, legacy systems, organizational resistance, skills gaps, regulatory complexity, and fragmented data remain major barriers. The paper also links these digital capabilities to the emerging Industry 5.0, human‑centric paradigm, arguing that they can augment rather than replace human expertise and support more resilient, sustainable network deployment. Overall, the review demonstrates that integrating digital transformation with OE frameworks is essential for telecom operators seeking sustainable performance, faster and more reliable infrastructure rollout, and competitive advantage in an increasingly digital and service‑intensive environment.

Research topics

  • Digital Transformation in Industry
  • Human-Automation Interaction and Safety
  • Robotic Process Automation Applications

Sustainable Development Goals

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DOI: 10.1007/s42452-026-08773-0

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