TEDARİK ZİNCİRİ GÖRÜNÜRLÜĞÜNÜN ÇEVİKLİK ÜZERİNDEKİ ETKİLERİ

İşletmeler karşılaştıkları belirsizliklerle başka çıkabilmek için daha fazla bilgiye sahip olmayı istemektedirler. Fakat günümüzde çok fazla bilgiye sahip olmakta yeterli olmamakta, aynı zamanda bilginin doğru, güncel, eksiksiz ve kullanılabilir formda olması da gerekmektedir. Bu yüzden son yıllarda, tedarik zinciri görünürlüğü konusu oldukça dikkat çekmektedir. Bu çalışmanın iki temel amacı bulunmaktadır. Birincisi, tedarik zinciri görünürlüğünün çevikliği nasıl etkilediğini ortaya çıkarmaktır. İkincisi ise, bu iki değişken arasındaki ilişkide büyük veri analitiğinin düzenleyici (moderatör) etkisini incelemektir. Söz konusu amaçlara ulaşmak adına geliştirilen hipotezleri test etmek için kısmi en küçük kareler yapısal eşitlik modeli (PLS-YEM) kullanılmıştır. Doksan dokuz firma üzerinde yapılan araştırma sonuçları, görünürlüğün çeviklik üzerinde olumlu bir etkisi olduğunu göstermektedir. Fakat bu iki değişken arasındaki ilişkide büyük veri analitiğinin düzenleyici etkisi tespit edilememiştir.

THE EFFECTS OF SUPPLY CHAIN VISIBILITY ON AGILITY

Firms aim to obtain more information to be able to cope with uncertainties that they encounter. However, having more information is not sufficient today, and the information also needs to be in an accurate, up-to-date, complete and usable form. For this reason, in recent years, the issue of supply chain visibility has attracted much attention. This study has two main objectives. The first one is to reveal how supply chain visibility affects agility. The second one is to investigate the moderator effect of the capability of big data analytics in the relationship between these two variables. To test the hypotheses that were developed to reach these objectives, partial least squares - structural equation modelling (PLS-SEM) was utilized. The results of the study conducted on ninety-nine firms showed that visibility has a positive effect on agility. However, a moderator effect of big data analytics could not be determined in the relationship between these two variables.

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