KOBİ'LER BAĞLAMINDA YAPAY ZEKANIN ROLÜNÜN ANLAŞILMASI

Yıl 2024, Cilt: 8 Sayı: 4, 970 - 995

Ayça Kübra Hızarcı , Alara Tarier , Özge Özgen , Gülüzar Kurt Gümüş

https://doi.org/10.47525/ulasbid.1572700

Öz

Bu çalışma, yapay zeka adaptasyonunu anlamak için entegre bir kavramsal çerçeve geliştirmeyi amaçlayarak, küçük ve orta ölçekli işletmelerde (KOBİ'ler) yapay zeka adaptasyonu kavramının operasyonel hale getirilmesine ilişkin literatürün sistematik bir incelemesini sunmaktadır. Bulgular, teknolojik hazırlığın çok önemli bir rol oynadığını ve KOBİ'lerin yapay zekayı etkin bir şekilde benimsemek için yapay zeka uygulamaları, yöntemleri ve yetenekleri hakkında bilgi sahibi olmaları gerektiğini göstermektedir. Yapay zekanın benimsenmesi, gelişmiş operasyonel verimlilik, daha fazla müşteri katılımı ve inovasyon kapsamında ilerleme dahil olmak üzere çeşitli sonuçlar doğurmaktadır. Ancak söz konusu sonuçlar, sektöre, firma büyüklüğüne ve kaynak kapasitesine göre değişmektedir. Çalışma, yapay zekanın üniter bir kavram değil, çok boyutlu bir yapı olduğunu ve operasyonelleştirmenin organizasyonel dinamik yetkinliklerle uyum gerektirdiğini vurgulamaktadır. Bu çalışma, yapay zekanın KOBİ’lerde adaptasyonunu anlamak için bir çerçeve sunmakta, literatürdeki parçalı bulgular arasında köprü kurmaya yardımcı olmaktadır ve KOBİ bağlamında gelecekteki araştırma ve uygulamalara rehberlik etmektedir.

Anahtar Kelimeler

Yapay Zeka, Küçük ve Orta Ölçekli İşletmeler (KOBİ, Yapay Zeka Adaptasyonu, İçerik Analizi

UNDERSTANDING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF SMEs

Öz

This study provides a systematic review of the literature on the operationalization of artificial intelligence (AI) within small and medium-sized enterprises (SMEs), aiming to develop an integrated conceptual framework for understanding AI adoption. The findings indicate that Technological readiness plays a pivotal role, with SMEs requiring knowledge of AI applications, methods, and capabilities to adopt AI effectively. AI adoption yields diverse outcomes, including enhanced operational efficiency, improved customer engagement, and greater innovation, but these vary based on industry, firm size, and resource capacity. The study emphasizes that AI is not a unitary concept but a multi-dimensional construct, with operationalization requiring alignment with organizational dynamic capabilities. This review offers a framework for understanding AI adoption, helping to bridge fragmented findings in the literature.

Anahtar Kelimeler

Artificial Intelligence (AI), Small and Medium-sized Enterprises (SMEs), AI Adoption, Content Analysis

Kaynakça

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