Big Data Utilization to Explore Association between Vacation Search on Google and Happiness Index

Ali Iskender; Huzeyfe Cakmakci; Mehdi Hajılou; Damla Sonmez

Makale detayları

Big Data Utilization to Explore Association between Vacation Search on Google and Happiness Index

Yazarlar:

Ali Iskender | Huzeyfe Cakmakci | Mehdi Hajılou | Damla Sonmez

Yayıncı:

Ankara University

Dergi:

Turizm Çalışmaları Dergisi Vol.4 Issue 2, pp.1-16

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001286441

pISSN:

2718-045X

Anahtar kelimeler:

Özet:

 This study utilizes multi-source data to examine the relationship between vacation search on Google and the happiness index. Big data regarding vacation search were extracted from Google Trends and happiness index values were obtained from publicly available resources. States in the USA are the unit of analysis. Regression models were applied. Findings revealed that vacation search on Google is used as a momentary mood alignment tool to escape from daily stress or daily unhappiness, particularly work-related.

 This study utilizes multi-source data to examine the relationship between vacation search on Google and the happiness index. Big data regarding vacation search were extracted from Google Trends and happiness index values were obtained from publicly available resources. States in the USA are the unit of analysis. Regression models were applied. Findings revealed that vacation search on Google is used as a momentary mood alignment tool to escape from daily stress or daily unhappiness, particularly work-related.

 This study utilizes multi-source data to examine the relationship between vacation search on Google and the happiness index. Big data regarding vacation search were extracted from Google Trends and happiness index values were obtained from publicly available resources. States in the USA are the unit of analysis. Regression models were applied. Findings revealed that vacation search on Google is used as a momentary mood alignment tool to escape from daily stress or daily unhappiness, particularly work-related.

 This study utilizes multi-source data to examine the relationship between vacation search on Google and the happiness index. Big data regarding vacation search were extracted from Google Trends and happiness index values were obtained from publicly available resources. States in the USA are the unit of analysis. Regression models were applied. Findings revealed that vacation search on Google is used as a momentary mood alignment tool to escape from daily stress or daily unhappiness, particularly work-related.

Makale detayları

Big Data Utilization to Explore Association between Vacation Search on Google and Happiness Index

Yazarlar:

Ali Iskender | Huzeyfe Cakmakci | Mehdi Hajılou | Damla Sonmez

Yayıncı:

Ankara University

Dergi:

Turizm Çalışmaları Dergisi Vol.4 Issue 2, pp.1-16

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001286441

pISSN:

2718-045X

big data

Google Trends

Happiness Index

Vacation search

Sayı

Makale detayları

Big Data Utilization to Explore Association between Vacation Search on Google and Happiness Index

Yazarlar: Ali Iskender | Huzeyfe Cakmakci | Mehdi Hajılou | Damla Sonmez

Yayıncı: Ankara University

Dergi: Turizm Çalışmaları Dergisi Vol.4 Issue 2, pp.1-16

Belge Tipi: Makale

Yayın Tarihi: 3/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001286441

pISSN: 2718-045X

big data

Google Trends

Happiness Index

Vacation search

Sayı

Yazarlar:

Ali Iskender | Huzeyfe Cakmakci | Mehdi Hajılou | Damla Sonmez

Yayıncı:

Ankara University

Dergi:

Turizm Çalışmaları Dergisi Vol.4 Issue 2, pp.1-16

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001286441

pISSN:

2718-045X