ÇALIŞAN PERSPEKTİFİNDEN İŞLETMELERDE YAPAY ZEKÂ UYGULAMALARI: BİBLİYOMETRİK BİR ANALİZ

Abstract

Organizasyonlarda çalışan faaliyetlerinde, yapay zekâ veya uygulamalarının etkinliği günden güne artmıştır. Bu durum çalışanlara birtakım kolaylıklar sağlamasının yanında birçok endişeyi de beraberinde getirmiştir. Araştırmada çalışanlar ve yapay zekâ işbirliği ve çatışmalarını belirlemeye yönelik bir ihtiyaç doğmuştur. Bu açıdan araştırmada işletmeler düzeyinde çalışanlar ve yapay zekâ etkileşimine yönelik çıkarımlarda bulunulması amaçlanmıştır. Yapay zeka uygulamaları ve çalışanlara ilişkin literatür bilgilerine yer verilmiştir. WoS kullanılarak bibliyometrik analiz yöntemi uygulanmıştır. Bu araştırma, 1996-2024 yılları arasında yayımlanmış toplam 497 çalışmayı içeren bir uygulamayı kapsamaktadır. Yapay zekâ uygulamalarında yazarların en fazla vurguladığı anahtar kelimeler, yapay zekâ, makine öğrenme, yönetim, yapay, bilgi, öğrenme, derin öğrenme, zekâ, büyük veri, veri madenciliği, çalışan, insan kaynakları, makine, teknoloji, iş, bilgi yönetimi, performans ve yapay sinir ağı olarak sıralanmıştır. Analizde yapay zekâ, makine öğrenme, yönetim, veri madenciliği, dijital dönüşüm, analiz, teknoloji, çalışan, insan kaynakları, işbirliği, verimlilik, insan kaynakları yönetimi, büyük veri, performans, dijital teknolojiler kavramları birlikte güçlü ilişkiler ortaya koymuştur. Sonuçlar işletmelerde yapay zekâ kullanımının çalışanlar açısından birçok kavram ile ilişkili olduğunu göstermiştir. Araştırma yapay zekâ uygulamalarının çalışanlarla olan etkileşiminde öne çıkan kavramlar üzerinden, insan kaynakları yönetimi, işbirliği, performans ve dijital dönüşüm gibi alanlarda stratejik kararlar alınmasına yönelik önemli çıkarımlar sunmaktadır.

Keywords

• Çalışanlar
• Organizasyonlar
• Yapay Zekâ.

ARTIFICIAL INTELLIGENCE APPLICATIONS IN ORGANIZATIONS FROM AN EMPLOYEE PERSPECTIVE: A BIBLIOMETRIC ANALYSIS

Abstract

In organizational settings, the effectiveness of artificial intelligence (AI) and AI-based applications in employees' activities continues to increase steadily over time. While this situation provides some conveniences to employees, it has also brought several concerns. Accordingly, a need has emerged to identify areas of collaboration and conflict between employees and AI. From this perspective, the present study aims to generate insights into employee–AI interactions at the organizational level. Literature on AI applications and their impact on employees is included. Bibliometric analysis was conducted using Web of Science (WoS) database. This research covers an application that includes a total of 497 studies published between 1996 and 2024. The keywords most emphasized by the authors in AI applications include artificial intelligence, machine learning, management, artificial, knowledge, learning, deep learning, intelligence, big data, data mining, employee, human resources, machine, technology, business, knowledge management, performance, and artificial neural networks. In the analysis, strong relationships between the concepts of artificial intelligence, machine learning, management, data mining, digital transformation, analysis, technology, employee, human resources, collaboration, productivity, human resource management, big data, performance, and digital technologies were revealed. Results have shown that the use of artificial intelligence in businesses is related to many concepts from the employees' perspective. The research offers important implications for strategic decision-making in areas such as human resources management, collaboration, performance, and digital transformation, based on the concepts that emerge in the interaction of artificial intelligence applications with employees.

Keywords

• Employees
• Organizations
• Artificial Intelligence

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