İlçeler Düzeyinde Entelektüel Sermaye Ölçümü ve Uygulaması

Year 2018, Volume: 13 Issue: 2, 163 - 184, 15.08.2018

Ali Erbaşı

https://doi.org/10.17153/oguiibf.411985

Abstract

Bu
araştırmanın amacı, ilçeler düzeyinde entelektüel sermaye ölçümü yapabilecek
bir model tasarlamaktır. Çalışmada Edvinsson ve Malone (1997) tarafından
önerilen entelektüel sermaye bileşenleri esas alınarak göstergelerin tespitine
yönelik kapsamlı bir literatür taraması yapılmış ve 5 bileşen altında 200
gösterge belirlenmiştir. Hazırlanan gösterge seti yazar değerlendirmeleri ve
uzman görüşlerine dayanarak ilçeler düzeyine indirgenmiştir. Sonuçta  41 değişkenli gösterge setinden oluşan
entelektüel sermaye ilçe endeksi modeline ulaşılmıştır. Konya ve Karaman
illerinde bulunan 37 ilçenin alt bileşenler de dahil olmak üzere entelektüel
sermaye düzeyleri tespit edilmiş ve TR52 Düzey 2 bölgesi olarak tanımlanan
Konya ve Karaman illerinin entelektüel sermaye haritası çıkarılmıştır. Yazında
entelektüel sermayenin ilçeler düzeyinde uygulanmasına odaklanan hiçbir
araştırmaya rastlanmamıştır. Bu yönüyle araştırmamızın yazına önemli katkılar
sunması beklenmektedir.

Keywords

Entelektüel Sermaye, İlçe Endeksi, İnsan Sermayesi, Süreç Sermayesi, Pazar Sermayesi, Yenileme Sermayesi, Finansal Sermaye

Measurement and Application of Intellectual Capital at the Level of Districts

Abstract

The
purpose of this study is to design a model about an intellectual capital
measurement at district levels. In this study, a comprehensive literature
search was conducted to determine the indicators based on the intellectual
capital components proposed by Edvinsson and Malone (1997), and 200 indicators
were identified under 5 components. The set of indicators prepared has been
reduced to the level of the districts based on author evaluations and expert
opinions. Eventually  the intellectual
capital district index model consisting of 41 variable indicator is achieved.
The intellectual capital levels of the 37 provinces including Konya and Karaman
were determined, including subcomponents and the intellectual capital map of Konya
and Karaman illiterates defined as TR52 level II regions is obtained. No
research has been found in the literature that focuses on the application of
intellectual capital at the district level. In this direction, it is expected
that our research will provide important contributions in the literature.

Keywords

Intellectual Capital, District Index, Human Capital, Process Capital, Market Capital, Renewal Capital, Financial Capital

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