Strategic Analysis of Digital Service Quality in Digital Transformation of Healthcare Using Intuitionistic Fuzzy AHP


BÜYÜKÖZKAN FEYZİOĞLU G., Havle C. A., FEYZİOĞLU O.

7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025, İstanbul, Türkiye, 29 - 31 Temmuz 2025, cilt.1530 LNNS, ss.453-462, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1530 LNNS
  • Doi Numarası: 10.1007/978-3-031-98565-2_50
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.453-462
  • Anahtar Kelimeler: Analytic Hierarchy Process, Digital Service Quality, Digital Transformation of Healthcare, Intuitionistic Fuzzy Sets
  • Galatasaray Üniversitesi Adresli: Evet

Özet

In recent years, all sectors have been undergoing dramatic transformation. One of the areas that has accelerated this transformation is the healthcare sector. First, the health landscape of the world began to change with the pandemic. This paved the way for digital technologies such as Internet of Things (IoT), artificial intelligence (AI), augmented reality (AR), virtual reality (VR), and blockchain to take place in the healthcare sector and accelerated digital transformation (DT). These digital technologies have changed the way healthcare services are delivered, provided, and managed. DT in healthcare offers advantages such as security, data use and management, operational efficiency, and low costs, while enabling patients and customers to benefit from the opportunities provided by digital technologies. E-health, telehealth, telemedicine, virtual health, and wearable innovative technologies have started to take their place among the new trends in the healthcare sector. Thus, expectations and perceptions regarding health ser-vices have completely changed. Measuring the service quality (SQ) provided by health service providers has moved away from traditional approaches. From this point of view, this study aims to strategically analyze digital service quality (DSQ) in digital healthcare. In this regard, this study conducts an application in Turkey using the intuitionistic fuzzy analytic hierarchy process (IF AHP) method to calculate and prioritize the weights of the criteria affecting DSQ in healthcare.