https://hdl.handle.net/20.500.12619/1155 Sat, 11 Apr 2026 15:08:27 GMT 2026-04-11T15:08:27Z https://hdl.handle.net/20.500.12619/102347 Makine Öğreniminde Öznitelik Seçme Yöntemlerinin Kullanımı: Güncel Python Uygulamaları Kotan, Muhammed; Seymen, Ömer Faruk Fri, 01 Dec 2023 00:00:00 GMT https://hdl.handle.net/20.500.12619/102347 2023-12-01T00:00:00Z https://hdl.handle.net/20.500.12619/101334 Duygu Analizi ve Dijital Dönüşüm Üzerine Etkileri Kotan, Muhammed Thu, 01 Dec 2022 00:00:00 GMT https://hdl.handle.net/20.500.12619/101334 2022-12-01T00:00:00Z https://hdl.handle.net/20.500.12619/99480 Dijital Dönüşüm ve İşletmecilik - Hizmet Sektöründe Dijital Dönüşüm: Yapay Zeka ve Robot Teknolojileri Levent ÇALLI; Büşra Alma ÇALLI Harris, Kimson ve Schwedel (2018) yaşlanan nüfusun, otomasyon teknolojilerinin kullanılmaya başlanmasının ve artan gelir eşitsizliğinin ülke ekonomilerini radikal bir biçimde değiştireceğini ifade etmektedir. Araştırma sonuçlarına göre Amerika Birleşik Devletleri’nde (ABD) ortalama işgücü büyüme oranı düşmekte ve 2020’lerin sonuna kadar otomasyon teknolojilerine geçilen iş kollarında özellikle düşük ve orta sınıf gelire sahip bireylerin %20, %25’lik bir oranda işsiz kalması beklenmektedir. Şüphesiz bu değişim yeni iş fırsatlarını da beraberinde getirecektir. İnsansı robotlar (humanoid robots), işbirlikçi robotlar (cobots), insansız hava araçları, yapay zeka ve makine öğrenmesi uygulamalarının öncelikle gelişmiş ekonomilerin hizmet sektörünü değiştireceği tahmin edilmektedir (Harris, Kimson ve Schwedel 2018). Sun, 01 Aug 2021 00:00:00 GMT https://hdl.handle.net/20.500.12619/99480 2021-08-01T00:00:00Z https://hdl.handle.net/20.500.12619/99479 The Role of Customer Knowledge in Digital Transformation: Customer Knowledge Management as a Competitive Advantage Through Social Media Platforms Levent ÇALLI Today companies need to digitalize their traditional processes to understand the behavior of consumers, who can also be present in the digital world due to advances in social media applications and technologies for accessing them, to react quickly to needs and expectations. The digital transformation process in organizations has three critical areas, according to Westerman et al.(2014); these are business models (changing the way of doing business), operational processes (increasing performance by digitizing processes), and customer experience (understanding the customer). Based on this approach, this section focuses on customer experience and explains how enterprises can integrate customer knowledge management in their digital transformation processes with social media applications. According to Nguyen et al.(2015), continuous social media knowledge acquisition may improve a company's ability to spot opportunities, impact brand innovation, and act as a moderator between knowledge acquisition, market orientation, and brand innovation. It is a strategic approach that increases efficiency in the decision-making process in terms of discovering customer needs, developing new products and services, and making knowledge flow more compelling for customers by obtaining knowledge from customer experience, preferences, and behaviors by analyzing the content provided by users on social media. In this context, analyzing the contents on social media shared by users is an approach in the new era that increases efficiency in the decision-making process in terms of discovering customer needs, developing new products and services, and making knowledge flow more compelling for customers by obtaining knowledge from customer experience, preferences and behaviors (Del Vecchio et al., 2020). Sat, 01 Oct 2022 00:00:00 GMT https://hdl.handle.net/20.500.12619/99479 2022-10-01T00:00:00Z