İşletme Kümelerinin Belirlenmesinde Yararlanılan Yöntemlere İlişkin Bir Literatür İncelemesi

Year 2023, Volume: 21 Issue: 1, 153 - 170, 30.04.2023

Gökhan Önder

https://doi.org/10.33688/aucbd.1150602

Abstract

Bu çalışmanın amacı, işletme kümelerini belirlemek için kullanılan yöntemlere ilişkin bir literatür incelemesi sunmak ve yöntemlerin ürettiği enformasyonu ve kısıtlarını kümelerin kavramsal nitelikleri kapsamında değerlendirmektir. Literatürde yer alan tüm yöntemlerin kendilerine özgü sınırlılıklara sahip olduğu görülmektedir. Bununla birlikte karma yaklaşımların, nicel yöntemlerden yararlanan yukarıdan aşağı yaklaşımlar ve nitel yöntemlerden yararlanan aşağıdan yukarı yaklaşımların tek başına benimsenmesinin neden olduğu sınırlılıkları ortadan kaldırabildiği görülmektedir. Kümelerin en temel niteliği olan etkileşim/bağlantısallık düzeyinin tespit edilmesinde ise sosyal ağ analizinden yararlanılabilir. İşletme kümelerinin ekonomik sistemler içinde belirlenebilmesi kümelere özgü politika önerilerinin geliştirilebilmesi için önem taşımaktadır.

Keywords

İşletme Kümeleri, Sosyal Ağ Analizi, Küme Tespit Yöntemi

Supporting Institution

Anadolu Üniversitesi

Project Number

1408E367

Thanks

Çalışma, 03/09/2020-05/09/2020 tarihleri arasında gerçekleştirilen 28. Ulusal Yönetim ve Organizasyon Kongresinde sunulmuştur. Görüş ve önerileri ile çalışmanın geliştirilmesine katkıda bulunan kongre katılımcılarına teşekkür ederim.

A Literature Review on Methods Used For Determining Business Clusters

Abstract

The aim of this paper is to present a literature review on the methods used to identify business clusters and to evaluate the information and constraints produced by the methods within the scope of the conceptual characteristics of the clusters. All methods have their own limitations. However, mixed approaches can eliminate the limitations caused by adopting top-down approaches using quantitative methods and bottom-up approaches using qualitative methods alone. Social network analysis can be used to determine the level of interaction/connectivity, which is the most basic feature of clusters. Identifying business clusters within economic systems is important for developing cluster-specific policy recommendations.

Keywords

Business Clusters, Social Network Analysis, Cluster İdentification Method

Project Number

1408E367

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