A cross-sector comparative analysis of a multidimensional framework of value creation through big data
Yükleniyor...
Dosyalar
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Peter Lang
Erişim Hakkı
info:eu-repo/semantics/restrictedAccess
Özet
In our world, where information and communication technologies are reshaping and continuing to shape every field, it is clear that enterprises that can follow the flow of information, grind the information they collect in information mills, and provide intelligence by using their internal and external information, can adapt to changing conditions in a timely and effective manner in proportion to its power. At this point, the aim is to automate the realization of this whole process to the greatest possible extent. In this context, the important developments in the last 20 years have been focusing on business intelligence, big data, deep learning, reinforcement learning, data intelligence, decision intelligence, automated decision-making, and other concepts and the development of application tools. From this point of view, under the title of “Data-driven decisions in enterprises – implications for business education and cases,” papers collected from various universities worldwide are included in this conference proceedings.
Açıklama
Anahtar Kelimeler
Augmented reality, Social sustainability, Human resource management, Finance
Kaynak
Data-driven decisions in enterprises - implications for business education and cases
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Bayrak Meydanoğlu, Ela S., Teodorescu, M. (2023). A cross-sector comparative analysis of a multidimensional framework of value creation through big data. Data-driven decisions in enterprises - implications for business education and cases içerisinde 39-66. Peter Lang.
