Sustainable future technology evaluation with digital transformation perspective in air cargo industry using IF ANP method

Name: Sustainable future technology evaluation with digital transformation perspective in air cargo industry using IF ANP method
Author: Havle, Celal Alpay, Büyüközkan, G.

İsim	Sustainable future technology evaluation with digital transformation perspective in air cargo industry using IF ANP method
Yazar	Havle, Celal Alpay, Büyüközkan, G.
Basım Tarihi:	2023
Basım Yeri	- Springer
Konu	Air cargo industry, Digital transformation, IF ANP, Sustainability, Sustainable future technology evaluation
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2367-3370
Kayıt Numarası	fbab03d7-e48c-4ce1-bf2e-3e4081caa8c3
Lokasyon	Professional Flight Program
Tarih	2023
Notlar	Galatasaray Üniversitesi
Örnek Metin	Sustainability is one of the most critical issues of recent years. Many companies that contribute to the global economy focus on sustainability studies more than ever. On the other hand, technological developments lead companies to digital transformation. This situation necessitated the adoption of a sustainability approach that includes digital transformation and digital technologies. Therefore, it is critical for companies embarking on a transformation journey to invest in technologies that support sustainability. Advances in technology and digital transformation have contributed to the growth of e-commerce volume globally. However, this has led to the growth and complexity of supply chain networks. One of the biggest players in this network structure is undoubtedly the air cargo industry. The air cargo industry plays a critical role in the sustainability of the global economy, employment, social development, and the environment. Therefore, this study proposes a new model for the evaluation of sustainable future technologies in the air cargo industry from the perspective of digital transformation. Multi-criteria decision-making (MCDM) approach was adopted in the study. The intuitionistic fuzzy analytical network process (IF ANP) is used to validate the proposed model in a real case conducted in the Turkish air cargo industry.
DOI	10.1007/978-3-031-39777-6_47
Cilt	759 LNNS

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Sustainable future technology evaluation with digital transformation perspective in air cargo industry using IF ANP method

Yazar Havle, Celal Alpay, Büyüközkan, G.

Basım Tarihi 2023

Basım Yeri - Springer

Konu Air cargo industry, Digital transformation, IF ANP, Sustainability, Sustainable future technology evaluation

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2367-3370

Kayıt Numarası fbab03d7-e48c-4ce1-bf2e-3e4081caa8c3

Lokasyon Professional Flight Program

Tarih 2023

Notlar Galatasaray Üniversitesi

Örnek Metin Sustainability is one of the most critical issues of recent years. Many companies that contribute to the global economy focus on sustainability studies more than ever. On the other hand, technological developments lead companies to digital transformation. This situation necessitated the adoption of a sustainability approach that includes digital transformation and digital technologies. Therefore, it is critical for companies embarking on a transformation journey to invest in technologies that support sustainability. Advances in technology and digital transformation have contributed to the growth of e-commerce volume globally. However, this has led to the growth and complexity of supply chain networks. One of the biggest players in this network structure is undoubtedly the air cargo industry. The air cargo industry plays a critical role in the sustainability of the global economy, employment, social development, and the environment. Therefore, this study proposes a new model for the evaluation of sustainable future technologies in the air cargo industry from the perspective of digital transformation. Multi-criteria decision-making (MCDM) approach was adopted in the study. The intuitionistic fuzzy analytical network process (IF ANP) is used to validate the proposed model in a real case conducted in the Turkish air cargo industry.

DOI 10.1007/978-3-031-39777-6_47

Cilt 759 LNNS