Evaluating The Digital Transformation Processes of Businesses with Multi-criteria Decision-Making Methods

Digitalization is a transformative process that deeply impacts the business world and society today. Technological advances accelerate changes in communication and business practices within organizations, positioning digital technologies as a strategic necessity for adapting to these transformations and making digitalization inevitable for businesses. Digital infrastructure relies on a strong foundation in areas such as marketing, sales, data analytics, and business intelligence. This process necessitates the reshaping of business models, customer relationships, and operations, while also transforming how societies access information, communicate and shape their lifestyles. Businesses that integrate traditional operations with digital technologies optimize their processes, enhance workflows through mobile applications and automation tools, and improve efficiency. Companies that strategically leverage digital technologies to gain a competitive advantage adopt a flexible, innovative, and technology-focused approach to succeed in the rapidly evolving business environment. This study aims to evaluate the digital transformation processes of manufacturing enterprises operating in Izmir using multi-criteria decision-making methods. Within the study, the Analytic Hierarchy Process (AHP) was employed to determine the weights of the criteria prioritized in digital transformation, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used for ranking the enterprises. The findings shed light on identifying the most appropriate business strategies for digital transformation processes and concretely demonstrate the impact of digitalization on business performance. After the study, the enterprises were evaluated based on their digital transformation scales, and the most suitable ones were identified and analyzed. Key Words: Digitalization, Digital Businesses, Multi-Criteria Decision Making, AHP, TOPSIS JEL Classification: M10, D70, D81