pausbed Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 1308-2922 2147-6985 Pamukkale University 10.30794/pausbed.1595210 Management Information Systems Yönetim Bilişim Sistemleri ÇEVRE SÜRDÜRÜLEBİLİRLİĞİ İÇİN ENDÜSTRİ 5.0, ŞEHİR 5.0 VE TARIM 5.0 BİRLEŞİK PARADİGMASI UNIFIED PARADIGM OF INDUSTRY 5.0, CITY 5.0 AND AGRICULTURE 5.0 FOR ENVIRONMENTAL SUSTAINABILITY https://orcid.org/0000-0002-2287-4994 Yoşumaz İsmail KÜTAHYA DUMLUPINAR ÜNİVERSİTESİ, KÜTAHYA SOSYAL BİLİMLER MESLEK YÜKSEKOKULU Advanced Online Publication 12 02 2024 08 13 2025 Copyright © 2008, Pamukkale University Journal of Social Sciences Institute 2008 Pamukkale University Journal of Social Sciences Institute

Bu çalışma, çevresel sürdürülebilirlik hedeflerine katkı sunma potansiyeli taşıyan Endüstri 5.0, Şehir 5.0 ve Tarım 5.0 yaklaşımlarını bütüncül bir perspektiften ele almakta ve bu üç alanı entegre edebilecek yapay zekâ destekli bir çerçeve olarak ICA 5.0 modelini ortaya koymayı amaçlamaktadır. Bu bağlamda, "Endüstri 5.0, Tarım 5.0 ve Şehir 5.0 paradigmaları çevresel sürdürülebilirlik hedeflerini desteklemek üzere bütüncül bir model kapsamında nasıl yapılandırılabilir?" sorusuna yanıt aranmaktadır. Önerilen ICA 5.0 modeli kapsamında, her üç alanın da fiziksel ortamlardan elde edilen verilerin sensörler aracılığıyla dijital ortama aktarılması ve bu verilerin yapay zekâ temelli analizine dayalı olarak yapılandığı ortaya konulmuştur. Modelin merkezinde, çevre odaklı politika geliştirme süreçlerini desteklemek üzere, disiplinler arası bir yaklaşımla elde edilen verilerin politika yapıcılar tarafından üretilen stratejilerle birlikte merkezi bir kamu bulutu altyapısında analiz edilmesi önerilmektedir. Ayrıca, veri güvenliği ve şeffaflığın sağlanması amacıyla veri toplama altyapısında blockchain teknolojisinin kullanımına vurgu yapılmıştır. Araştırmada nitel yöntemlerden doküman analizi, betimleyici içerik analizi ve örnek olay metodu birlikte kullanılmıştır. Örnek olay kapsamında ICA 5.0 modeli Türkiye örneği sunulmuştur. Çalışmanın örneklemini, 01.01.2021-31.12.2024 tarihleri arasında Scopus veri tabanında yayımlanmış ve araştırma konusuyla ilişkili 49 araştırma makalesi oluşturmaktadır. Elde edilen bulgular doğrultusunda ICA 5.0 modelinin nasıl yapılandırılabileceği ve bu modelin çevresel sürdürülebilirlik bağlamında sağlayabileceği katkılar tartışılmıştır.

This study adopts a holistic perspective to examine the approaches of Industry 5.0, City 5.0, and Agriculture 5.0, which hold potential for contributing to environmental sustainability goals, and aims to propose the AI-supported ICA 5.0 model as an integrated framework for these three domains. In this context, the study seeks to answer the research question: "How can the paradigms of Industry 5.0, Agriculture 5.0, and City 5.0 be structured within a holistic model to support environmental sustainability goals?" Within the proposed ICA 5.0 model, it is demonstrated that all three domains are structured on the basis of transferring data from physical environments to digital platforms via sensors and analyzing these data using AI-driven techniques. At the core of the model, it is proposed that data obtained through this process be analyzed within a centralized public cloud infrastructure alongside strategies developed by policymakers, through an interdisciplinary approach that supports the formulation of environmentally conscious policies. In addition, the use of blockchain technology in the data collection infrastructure is emphasized to ensure data security and transparency. The study employs qualitative research methods, combining document analysis, descriptive content analysis and case study method. The ICA 5.0 model has been exemplified through a case study focused on Türkiye. The sample of the study consists of 49 research articles published between 01.01.2021 and 31.12.2024 in the Scopus database that are relevant to the research topic. Based on the findings, the study discusses how the ICA 5.0 model can be structured and what contributions it may offer in the context of environmental sustainability.

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