Journals / Uluslararası Türk Dünyası Turizm Araştırmaları Dergisi / 2026 / Cilt: 11 Sayı: 1

Data-Driven Analysis of the Turkish-Speaking Community’s Contribution to Austria’s Tourism Economy

Avusturya Turizm Ekonomisine Türkçe Konuşan Toplulukların Katkısının Veri Odaklı Analizi

Pages
20–33
Publication Date
2026-06-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By leveraging computational methods, this study provides actionable insights for policymakers and businesses to better understand diaspora contributions and develop targeted strategies that enhance service provision and strengthen Austria’s tourism competitiveness.

📌 3 Key Takeaways

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Objective & Hypothesis:Purpose: This study investigates the economic, social, and behavioral contributions of Turkish-speaking communities to Austria’s tourism sector, which contributes nearly 14% to national GDP and is shaped by multicultural dynamics and migrant entrepreneurship.
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Key Findings & Data:It analyzes official statistics, business registries, and 2,000 Turkish-language online reviews to quantify diaspora-linked travel flows, entrepreneurial activity, and labor participation.
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Conclusion & Impact:By leveraging computational methods, this study provides actionable insights for policymakers and businesses to better understand diaspora contributions and develop targeted strategies that enhance service provision and strengthen Austria’s tourism competitiveness.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:diapora · işgücü · kültür

Abstract

Purpose: This study investigates the economic, social, and behavioral contributions of Turkish-speaking communities to Austria’s tourism sector, which contributes nearly 14% to national GDP and is shaped by multicultural dynamics and migrant entrepreneurship. It focuses on their role as both consumers and suppliers within the tourism ecosystem. Method: The study adopts a data-driven framework integrating machine learning models (LSTM, Random Forests, XGBoost), natural language processing (NLP), clustering techniques, and input–output modeling. It analyzes official statistics, business registries, and 2,000 Turkish-language online reviews to quantify diaspora-linked travel flows, entrepreneurial activity, and labor participation. Findings: Turkish-speaking communities contribute approximately €700–1,000 million annually to Austria’s tourism GDP and support around 12,000–15,000 jobs, mainly in gastronomy, hospitality, and transport sectors. Machine learning forecasts reveal a dual seasonality pattern, with summer peaks driven by diaspora family visits and winter peaks associated with leisure tourism. Additionally, diaspora-related demand demonstrates 20–30% lower volatility during crisis periods. NLP analysis indicates high tourist satisfaction but also identifies gaps in culturally tailored services, particularly in halal food availability and Turkish-language accessibility. Clustering results distinguish three main tourist segments—Diaspora Visitors, Leisure Tourists, and Community Travelers—each with distinct motivations and spending behaviors. Conclusion: Turkish-speaking communities play a strategic role in fostering an inclusive, resilient, and culturally sensitive tourism ecosystem in Austria. By leveraging computational methods, this study provides actionable insights for policymakers and businesses to better understand diaspora contributions and develop targeted strategies that enhance service provision and strengthen Austria’s tourism competitiveness.

Özet

Amaç: Bu çalışma, Avusturya’nın ulusal GSYİH’sine yaklaşık %14 katkı sağlayan ve çok kültürlü dinamikler ile göçmen girişimciliği tarafından şekillenen turizm sektöründe Türkçe konuşan toplulukların ekonomik, sosyal ve davranışsal katkılarını incelemektedir. Çalışma, bu toplulukların turizm ekosistemindeki hem tüketici hem de tedarikçi rollerine odaklanmaktadır. Yöntem: Çalışma, makine öğrenmesi modellerini (LSTM, Random Forest, XGBoost), doğal dil işleme (NLP), kümeleme tekniklerini ve girdi-çıktı modellemesini entegre eden veri odaklı bir yaklaşım benimsemektedir. Resmî istatistikler, işletme kayıtları ve 2.000 Türkçe çevrimiçi yorum analiz edilerek diaspora bağlantılı seyahat akışları, girişimcilik faaliyetleri ve iş gücü katılımı nicel olarak değerlendirilmiştir. Bulgular: Türkçe konuşan topluluklar, Avusturya turizm GSYİH’sine yıllık yaklaşık 700–1.000 milyon € katkı sağlamakta ve başta yeme-içme, konaklama ve ulaşım sektörleri olmak üzere yaklaşık 12.000–15.000 kişiye istihdam yaratmaktadır. Makine öğrenmesi tahminleri, yaz aylarında diaspora aile ziyaretleriyle, kış aylarında ise tatil turizmiyle ilişkili çift yönlü mevsimsellik ortaya koymaktadır. Ayrıca, diaspora kaynaklı talebin kriz dönemlerinde %20–30 daha düşük oynaklık gösterdiği belirlenmiştir. NLP analizi, yüksek turist memnuniyetine işaret ederken özellikle helal gıda sunumu ve Türkçe dil erişimi gibi kültürel açıdan uyarlanmış hizmetlerde eksiklikler olduğunu ortaya koymaktadır. Kümeleme sonuçları ise üç ana turist segmentini ayırt etmektedir: Diaspora Ziyaretçileri, Tatil Turistleri ve Topluluk Seyahatçileri; her biri farklı motivasyonlara ve harcama davranışlarına sahiptir. Sonuç: Türkçe konuşan topluluklar, Avusturya’da kapsayıcı, dayanıklı ve kültürel açıdan duyarlı bir turizm ekosisteminin geliştirilmesinde stratejik bir rol oynamaktadır. Hesaplamalı yöntemlerden yararlanarak bu çalışma, politika yapıcılar ve işletmeler için diaspora katkılarını daha iyi anlamaya ve hizmet sunumunu geliştiren, kapsayıcılığı artıran ve Avusturya turizminin rekabet gücünü güçlendiren hedefli stratejiler geliştirmeye yönelik uygulanabilir içgörüler sunmaktadır.

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Cite This Article

Şengöz, M. (2026). Data-Driven Analysis of the Turkish-Speaking Community’s Contribution to Austria’s Tourism Economy. Uluslararası Türk Dünyası Turizm Araştırmaları Dergisi, Cilt: 11 Sayı: 1, 20–33. https://doi.org/10.37847/tdtad.1801424

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