KaydedilenlerDerginizi ekleyin

Dergiler / Journal of Tourism Theory and Research / 2019 / Cilt: 5 - Sayı: 2

Identifying sensor placement problem in smart tourism through consumer-oriented approach

Ali Erhan ZALLUHOĞLU
Hande BİLGEHAN
Özge ÇOLAKOĞLU HAVARE
Elif TUNALI ÇALIŞKAN
Sayfa
317–326
Yayın Tarihi
2019-03-15
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It has been seen that “Direction to tourism attractions of destinations (gastro, entertainment, nature etc.) (attractiveness)” and “guide to popular tourist destination (popularity)” criteria are the main specifications of the locations for the sensor’ placement point according to attractiveness preferences of tourists.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Tourism activities have shown a rapid growth depending on economic return.
📊
Temel Bulgular & Veri:Tourism sector has an important source of big data, and there has been a significant opportunity in terms of real-time customer-oriented services creation by using data sensor networks.
💡
Sonuç & Katkı:It has been seen that “Direction to tourism attractions of destinations (gastro, entertainment, nature etc.) (attractiveness)” and “guide to popular tourist destination (popularity)” criteria are the main specifications of the locations for the sensor’ placement point according to attractiveness preferences of tourists.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Smart tourism · sensor placement problem · consumer oriented

Abstract

Tourism activities have shown a rapid growth depending on economic return. The ability to meet expectations in tourism services requires the collection of more information about consumers. Tourism sector has an important source of big data, and there has been a significant opportunity in terms of real-time customer-oriented services creation by using data sensor networks. In this context, it is important to determine sensors’ location to collect eligible information. It is necessary to create an effective consumer oriented solution with an optimal cost because of high number and variability of attractiveness. The aim of the research is determining the sensor placement criteria that can be used to collect most effective consumer attitude and behaviour information in order to create the smart tourism area. It was preferred to use the fuzzy AHP method because the information to be gathered contained multiple criteria, differed tourist expectations, and binary comparisons were included. It has been seen that “Direction to tourism attractions of destinations (gastro, entertainment, nature etc.) (attractiveness)” and “guide to popular tourist destination (popularity)” criteria are the main specifications of the locations for the sensor’ placement point according to attractiveness preferences of tourists.

🔖

Bu Makaleye Atıf Yap

ZALLUHOĞLU, A. E., BİLGEHAN, H., HAVARE, Ö. Ç., ÇALIŞKAN, E. T. (2019). Identifying sensor placement problem in smart tourism through consumer-oriented approach. Journal of Tourism Theory and Research, Cilt: 5 - Sayı: 2, 317–326. https://ajindex.com/articles/781978

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (11)

  1. BUONINCONTRI, P. and MICERA, R. (2016), The experience co-creation in smart tourism destinations: a multiple case analysis of European destinations, Information Technology & Tourism, 16(3). 285-315.
  2. CARAGLIU, A., DEL BO, C., & NİJKAMP, P. (2011),
  3. Smart cities in Europe, Journal of Urban Technology, 18(2), 65-82.
  4. DAGDEVIREN, M. (2007), Bulanık Analitik Hiyerarşi Prosesi Ile Personel Seçimi Ve Bir Uygulama, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 22(4). 791-799.
  5. DENIZHAN, B., YALÇINER, A. Y. & BERBER, Ş. (2017), Analitik Hiyerarşi Proses ve Bulanık Analitik Hiyerarşi Proses Yöntemleri Kullanılarak Yeşil Tedarikçi Seçimi Uygulaması, Nevşehir Bilim ve Teknoloji Dergisi, 6(1). 63-78.
  6. DURMAZ, C., BULUT, Y. & TANKUŞ, E. (2018), Sanal Gerçekliğin Turizme Entegrasyonu: Samsun’daki 5 Yıldızlı Otellerde Uygulama, Turkish Journal of Marketing, 3(1).32-49.
  7. GIFFINGER, R., FERTNER, C., KRAMAR, H., & MEIJERS, E. (2007), City-ranking of European medium-sized cities, 09 Haziran 2018 tarihinde http://www.smart-cities.eu/download/smart_cities_final_report.pdf adresinden alındı. GÖKSU, A., & GÜNGÖR, İ. (2008), Bulanık Analitik Hiyerarşik Proses Ve Üniversite Tercih Sıralamasında Uygulanması, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(3) GU, Z., ZHANG, Y., CHEN, Y. & CHANG, X. (2016), Analysis Of Attraction Features Of Tourism Destinations In A Mega-City Based On Check-In Data Mining—A Case Study Of Shenzhen, China, ISPRS International Journal of Geo-Information, 5(11). 210.1-13.
  8. HAN, H., PARK, A., CHUNG, N., & LEE, K. J. (2016), A near field communication adoption and its impact on Expo visitors’ behaviour, International Journal of Information Management, 36(6), 1328-1339.
  9. HARRİSON, C., ECKMAN, B., HAMİLTON, R., HARTSWİCK, P., KALAGNANAM, J., PARASZCZAK, J. & WİLLİAMS, P. (2010), Foundations For Smarter Cities. IBM Journal of Research and Development, 54(4), 1-16.
  10. KARAKIŞ, E. & GÖKTOLGA, Z. G.(2017), Bankaların Ticari Kredi Verme Davranışlarının Bulanık AHP Ve Bulanık Topsis Ile Incelenmesi, Cumhuriyet Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 18(2). 75-98. KREŠIĆ, D. & PREBEŽAC, D. (2011), Index Of Destination Attractiveness As A Tool For Destination Attractiveness Assessment, Turizam: Međunarodni Znanstveno-Stručni Časopis. 59(4). 497-517.
  11. KUTVAN, A. B. & KUTVAN, S. A. (2013), Turizm Planlamasında Destinasyon Çekiciliklerinin Ölçümü: Bir Yöntem Yaklaşımı., Uluslararası İktisadi ve İdari İncelemeler Dergisi, (11).15