Readiness of Higher Education Institutions for Big Data

Abstract

The objective of this study is to evaluate the degree of readiness exhibited by higher education institutions in Turkey with regard to the integration of big data technologies in the context of expert recruitment. Big data signifies extensive and intricate datasets that surpass the capacity of conventional database systems, while big data analytics pertains to the process of deriving valuable insights from these data. In the present study, an assessment of the readiness of universities in Turkey for big data technologies was conducted across the domains of leadership, talent management, software technology, data-driven decision making and organizational culture. The data for the study were obtained through the participation of 164 IT specialists from 86 universities. The research findings indicate significant variations across three key domains: leadership and talent management in data scientists, technology in data engineers, and talent management, technology, and decision-making in business analysts. Additionally, the study identified software developers and web designers as having substantial influence on technology and decision-making dimensions. A noteworthy finding was the revelation that 94.3% of the participating universities do not employ experts in the big data engineer position. These findings underscore the necessity for universities to enhance and diversify the employment of experts in order to leverage big data technologies effectively. It can be concluded that the establishment of a balanced portfolio of experts in the field of big data analytics is imperative for the success of higher education institutions.

Keywords

• Big Data
• Big Data Analytics
• Big Data Readiness
• Higher Education Management
• Expert Recruitment in Higher Education

YÜKSEKÖĞRETİM KURUMLARININ BÜYÜK VERİYE HAZIRLIĞI

Öz

Bu çalışmanın amacı, Türkiye’deki yükseköğretim kurumlarının büyük veri teknolojilerine hazırlık seviyelerini uzman istihdamı bağlamında değerlendirmektir. Büyük veri, geleneksel veri tabanı sistemlerinin kapasitesini aşan büyük ve karmaşık veri kümelerini ifade ederken, büyük veri analitiği bu verilerden anlamlı içgörüler elde etme sürecini tanımlamaktadır. Araştırmada, Türkiye’deki üniversitelerin büyük veri teknolojilerine hazırlık düzeyleri, liderlik, yetenek yönetimi, yazılım teknolojisi, veriye dayalı karar verme ve kurum kültürü boyutları üzerinden değerlendirilmiştir. Çalışmanın verileri, 86 üniversiteden 164 bilgi işlem uzmanının katılımıyla elde edilmiştir. Veri bilimcilerin liderlik ve yetenek yönetimi boyutlarında, veri mühendislerinin teknoloji boyutunda, iş analistlerinin yetenek yönetimi, teknoloji ve karar verme boyutlarında anlamlı farklılıklar gözlemlenmiştir. Ayrıca, yazılım geliştiricilerin ve web tasarımcılarının teknoloji ve karar verme boyutlarında önemli etkileri olduğu tespit edilmiştir. Dikkat çekici bir bulgu olarak, araştırmaya katılan üniversitelerin %94,3’ünde büyük veri mühendisi pozisyonunda uzman istihdam edilmediği ortaya çıkmıştır. Bu bulgular, üniversitelerin büyük veri teknolojilerini etkin bir şekilde kullanabilmeleri için uzman istihdamını artırmaları ve çeşitlendirmeleri gerekliliğini ortaya koymaktadır. Büyük veri analitiği alanında dengeli bir uzman portföyünün oluşturulması, yükseköğretim kurumlarının başarısı için kritik öneme sahip olduğu belirtilebilir.

Anahtar Kelimeler

• Büyük Veri
• Büyük Veri ve Analitik
• Büyük Veriye Hazırlık
• Yükseköğretim Yönetimi
• Yükseköğretimde Uzman İstihdamı

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