The Perception of Employees About the Digital Transformation of Türk Telekom Company

Abstract

This study examines the perception of Türk Telekom employees about the company's digital transformation based on human resources, technology, infrastructure, suppliers, users, and management parameters. Sub-parameters such as artificial intelligence, blockchain, IoT (Internet of Things), virtual/augmented reality, cryptocurrency, digital twin, machine learning, robotic systems, voice assistant systems, cybersecurity, big data, system integration, and cloud computing are also discussed within these main parameters. The research aims to assess the perception of digital transformation parameters in the telecommunications sector, using Türk Telekom as a case study. Findings suggest that system integration, big data, cybersecurity, and IoT are the most well-known digital transformation parameters, while digital twin technology emerged as the least familiar one. Türk Telekom employees also demonstrate only moderate awareness of key digital transformation components. In addition to training and workshop programs on digital transformation, it is suggested that enabling employees to observe the impacts of the digital transformation on tangible outcomes of their work, such as products or services, may serve as a motivational factor that enhances job performance.