Amaç- Bu araştırmanın amacı Ar-Ge merkezleri özelinde işletmelerin bilgi işleme yetenekleri ile inovasyon performansı arasındaki ilişkinin
ampirik olarak incelenmesidir. Araştırma bulgularının işletmelerde inovasyon performansının arttırılmasına yönelik pratik öneriler sunması
yanında literatüre de katkı sağlaması beklenmektedir.
Metodoloji- Türkiye’de Sanayi ve Teknoloji Bakanlığı tarafından onaylanmış 145 Ar-Ge merkezi yöneticisi tarafından yanıtlanan anket yöntemi
ile veri toplanmıştır. Veri seti önce açıklayıcı faktör analizine tabi tutulmuş ve bağımsız değişken bilgi işleme yetenekleri, bilgiyi absorbe
edebilme ve bilgiyi uygulayabilme olarak adlandırılan iki faktör altında toplanmıştır. Bu iki faktör modele dahil edilirken, değişkenler arasındaki
ilişkinin değerlendirilmesi için regresyon analizleri kullanılmıştır.
Bulgular- Bilgi işleme yeteneklerinin inovasyon performansının öncülleri arasında yer aldığı iddia edilmektedir. Bu doğrultuda işletmelerin
bilgi işleme yetenekleri ile inovasyon performansı arasında anlamlı ve pozitif ilişkilerin varlığı tespit edilmiştir. Kısacası, bilgi işleme
yeteneklerini daha fazla geliştiren işletmelerin daha yüksek inovasyon performansı yarattığı ortaya çıkmıştır.
Sonuç- İnovasyon performansının arttırılabilmesi için Ar-Ge merkezlerinin insan kaynakları politikaları, bilgi odaklı yönetici-lider tarzları,
organizasyonel yapılarda esneklik, takım çalışması ve sürekli öğrenme gibi araç ve mekanizmalarla desteklenmesi önerilmektedir. Ayrıca,
işletmelerin yaratıcı ve yenilikçi performanslarını üst düzeye çıkarabilmelerinin, kolay ve verimli bilgi edinme, aktarma ve uygulamayı
kolaylaştıran sağlam bilgi sistemlerine bağlı olduğu ifade edilmektedir.
Bilgi işleme yetenekleri dinamik yetenekler inovasyon performansı Ar-Ge merkezleri regresyon analizi
Purpose- The purpose of this research is to investigate the impact of knowledge process capabilities on firms’ innovation performance
through an empirical study that was carried out on a sample of firms’ R&D centers. It is expected that the findings will offer practical
implications to firms as well providing valuable insights to the academic literature.
Methodology- The data which were collected by a survey from officially approved 145 R&D centers of firms which operate across various
industries in Turkey, were analyzed. The explaratory factor analysis yielded two factors that were knowledge absorption and knowledge
implementation. The two factors were entered to the model and the impact of knowledge process capabilities on innovation performance
was investigated by multiple regression analysis.
Findings- Knowledge process capabilities are highly associated with innovation performance and knowledge processing is suggested as a
predictor of innovation. In line, the results revealed a significant and positive relationship between knowledge process capabilities and firms’
innovation performance. Namely, firms which developed better capabilities in processing knowledge could innovate better.
Conclusion- In order to increase innovativeness and and innovation-related performance of firms, several tools and mechanisms such as HR
policies, leadership styles, flexibility in organizational architecturing, teamwork and continuous learning and training activities were
suggested. Moreover, some improvements on the knowledge-related capabilities such as knowledge creation, sharing and implementation
were advised.
Knowledge process capabilities dynamic capabilities innovation performance R&D centers regression analysis
Primary Language | Turkish |
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Subjects | Business Administration |
Journal Section | Articles |
Authors | |
Publication Date | December 31, 2021 |
Published in Issue | Year 2021 |
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