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Journals / Iğdır Üniversitesi Sosyal Bilimler Dergisi / 2026 / Sayı: 43

Artificial Intelligence Readiness, Trustworthy AI and Perceived Business Efficiency in the Metal Kitchenware Sector: A Qualitative Study Based on Engineers’ Experiences

Metal Mutfak Eşyaları İmalatı Sektöründe Yapay Zekâ Hazırlığı, Güvenilir Yapay Zekâ ve Algılanan İşletme Verimliliği: Mühendis Deneyimlerine Dayalı Nitel Bir Araştırma

Alaeddin Koska(Kahramanmaraş İstiklal Üniversitesi)0000-0002-8626-4300
Pages
558–576
Publication Date
2026-10-15
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Firms are therefore advised to assess AI readiness and test limited-scope applications through secure, human-supervised pilots.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines engineers' experiences of using artificial intelligence in metal kitchenware manufacturing through the lenses of AI readiness and trustworthy AI, with a focus on perceived contributions to business efficiency.
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Key Findings & Data:Data were collected asynchronously from 30 engineers through a semi-structured written open-ended questionnaire and analyzed using thematic analysis supported by qualitative content analysis.
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Conclusion & Impact:Firms are therefore advised to assess AI readiness and test limited-scope applications through secure, human-supervised pilots.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zekâ · Metal Mutfak Eşyaları İmalatı Sektörü · Yapay Zekâ Hazırlığı

Abstract

This study examines engineers' experiences of using artificial intelligence in metal kitchenware manufacturing through the lenses of AI readiness and trustworthy AI, with a focus on perceived contributions to business efficiency. Data were collected asynchronously from 30 engineers through a semi-structured written open-ended questionnaire and analyzed using thematic analysis supported by qualitative content analysis. General-purpose/generative AI was associated mainly with reporting, editing, and summarization, whereas process-oriented applications in production planning, quality, maintenance, energy, inventory, and design appeared as reported experiences or expectations. Participants described benefits related to time, decision support, quality, errors and waste, coordination, and customer satisfaction. These accounts represent perceived effects rather than verified performance outcomes. Data security, inaccurate outputs, infrastructure, cost, skills shortages, and resistance were the main barriers. Participants' accounts linked perceived efficiency gains to organizational readiness, data quality, trustworthy use, and human oversight. Firms are therefore advised to assess AI readiness and test limited-scope applications through secure, human-supervised pilots.

Özet

Bu araştırma, metal mutfak eşyaları imalatında çalışan mühendislerin yapay zekâ kullanım deneyimlerini yapay zekâ hazırlığı ve güvenilir yapay zekâ bağlamında incelemekte; işletme verimliliğine ilişkin algılanan katkılara odaklanmaktadır. Veriler, 30 mühendisin eşzamansız olarak yanıtladığı yarı yapılandırılmış yazılı açık uçlu form aracılığıyla toplanmış ve nitel içerik analiziyle desteklenen tematik analizle çözümlenmiştir. Bulgular, genel amaçlı/üretken yapay zekânın raporlama, metin düzenleme ve özetlemede; süreç odaklı uygulamaların ise üretim planlama, kalite, bakım, enerji, stok ve tasarımda deneyim ya da beklenti düzeyinde yer aldığını göstermektedir. Katılımcılar zaman tasarrufu, karar desteği, kalite, hata/fire, koordinasyon ve müşteri memnuniyetiyle ilişkili katkılar bildirmiştir. Bu değerlendirmeler doğrulanmış performans sonuçları değil, öz bildirime dayalı algılanan etkilerdir. Veri güvenliği, hatalı çıktı, altyapı, maliyet, uzman personel eksikliği ve direnç öne çıkan engellerdir. Katılımcı anlatıları, algılanan verimlilik katkısını örgütsel hazırlık, veri kalitesi, güvenilir kullanım ve insan denetimiyle ilişkilendirmektedir. Metal mutfak eşyaları imalatında faaliyet gösteren işletmeler için yapay zekâ hazırlığının değerlendirilmesi ve sınırlı kapsamlı uygulamaların güvenli, insan denetimli pilotlarla sınanması önerilmektedir.

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Cite This Article

Koska, A. (2026). Artificial Intelligence Readiness, Trustworthy AI and Perceived Business Efficiency in the Metal Kitchenware Sector: A Qualitative Study Based on Engineers’ Experiences. Iğdır Üniversitesi Sosyal Bilimler Dergisi, Sayı: 43, 558–576. https://doi.org/10.54600/igdirsosbilder.1984759

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