EXPLORING IT DECISION MAKERS’ VIEWS ON ADOPTION OF CLOUD MANUFACTURING IN TURKEY

Abstract

Cloud manufacturing has emerged as a breakthrough of IT services, including the internet of things (IoT) and artificial intelligence (AI) for business processes in the manufacturing sector. It has also brought the need to complete the integrated business processes such as an integrated supply chain, inventory management, and production for utilizing this technology. In this context, IT decision-makers attempt to develop a cloud-based manufacturing model for downloading, configuring, and maintaining machinery from cloud providers that enables the top managers just to focus on their product in business. The research aims to build for monitoring the differences between cloud manufacturing adopters and non-adopters to understand the behavioral intention by monitoring the Diffusion of Innovation (DOI) theory and the Technological, Organizational, and Environmental (TOE) theory of cloud manufacturing adoption. An independent t-test sample was used to analyze data. 19 manufacturing cloud adopters and 19 non-cloud adopters were selected to analyze data via SPSS 26.0 in Turkey. The results exhibited that manufacturing cloud adopters and non-cloud adopters considered the same for relative advantage, cost-saving, competitive pressure, and regulatory support. However, they found differences in security concerns, compatibility, complexity, technological readiness, and top management support. The study brought an outlook for understanding the benefits, drawbacks, and hinders of cloud manufacturing of manufacturers. This will enable comprehensive information for cloud providers to offer appropriate integrated software according to manufacturers’ needs of the production.

Keywords

• Cloud Manufacturing Adoption
• IT decision-makers
• Independent t-test analysis
• DOI theory
• TOE theory

TÜRKİYE’DE BT KARAR VERİCİLERİN BULUT ÜRETİMİN KABUL EDİLMESİNE İLİŞKİN GÖRÜŞLERİNİN ORTAYA KONMASI

Abstract

Bulut üretimi, imalat sektöründeki iş süreçleri için nesnelerin interneti (IoT) ve yapay zeka (AI) dahil olmak üzere BT hizmetlerinde çığır açan bir buluş olarak ortaya çıkmıştır. Bu teknoloji, entegre tedarik zinciri, stok yönetimi, üretim gibi entegre iş süreçlerinin tamamlanması ihtiyacını da beraberinde getirmiştir. Bu bağlamda, BT karar alıcıları, bulut sağlayıcılarından makinelerin indirilmesi, yapılandırılması ve bakımı için bulut tabanlı bir üretim modeli geliştirmeye çalışmaktadırlar ve bu da üst düzey yöneticilerin işletmelerinde yalnızca ürünlerine odaklanmasını sağlarmaktadır. Araştırma, Yeniliğin Yayılması (DOI) teorisini ve Bulut üretiminin adaptasyonuna ilişkin Teknolojik, Örgütsel ve Çevresel (TOE) teorisini izleyerek davranışsal niyeti anlamak için bulut üretimini adapte edenler ve adapte etmeyenler arasındaki farkları izlemeyi amaçlamaktadır. Verileri analiz etmek için bağımsız bir t testi örneği kullanılmıştır. Türkiye'de verileri SPSS 26.0 aracılığıyla analiz etmek için 19 üretim bulutu adapte eden ve 19 adapte etmeyen üretici seçilmiştir. Sonuçlar, üretim bulutunu adapte edenlerin ve adapte etmeyenlerin göreli avantaj, maliyet tasarrufu, rekabet baskısı ve düzenleyici destek için aynı şekilde düşündüklerini göstermektedir. Ancak güvenlik endişeleri, uyumluluk, karmaşıklık, teknolojik hazırlık ve üst yönetim desteğinde aralarında farklılıklar bulunduğu tespit edilmiştir. Çalışma, üreticilerin bulut üretiminin yararlarını, sakıncalarını ve engellerini anlayabilmesi için bir bakış açısı getirmiştir. Bu da bulut sağlayıcılarının, üreticilerin üretim ihtiyaçlarına göre uygun entegre yazılımlar sunmasına yönelik kapsamlı bilgiler sağlayacaktır.

Keywords

• Bulut Üretimini Benimseme
• BT karar vericileri
• Bağımsız t-testi analizi
• DOI teorisi
• TOE teorisi

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