TY - GEN
T1 - What features of online review affects readers' intention to travel?
AU - Johanes, Rahmi
AU - Pinem, Ave Adriana
AU - Hidayanto, Achmad Nizar
AU - Shihab, M. Rifki
N1 - Funding Information:
This work was supported by Universitas Indonesia under PITTA Grant 2016 "Mobile Advertising Acceptance from Uses And Gratifications Theory (UGT) Perspectives and Its Impact Towards Buying Behavior of Smarphone Users (No: 1753/UN2.R12/PPM.00.00/2016)
Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/6
Y1 - 2017/3/6
N2 - Online review is becoming more popular among the public when considering the purchase of a product or service. This also applies in tourism industry when potential tourists were making decisions about travel destination. This research aims to identify online review elements/features that will affect readers' intention to travel. Hence, the model was designed by categorized online review characteristics namely system, information and informant characteristic. These characteristics then influence perceived informativeness, destination image and informant expertise and trustworthiness viewed in reader viewpoint and eventually affect reader intention to travel. Analysis of the model was conducted by using PLS SEM with 189 valid questionnaires. The result of this study proved that some elements/features of online review influence reader intention to travel. They are quality and quantity of the reviews and destination indicator which are available on the website. However, this study suggest that current features are not sufficient to explain reviewer credibility, thus other features need to be added to the website to serve this purpose.
AB - Online review is becoming more popular among the public when considering the purchase of a product or service. This also applies in tourism industry when potential tourists were making decisions about travel destination. This research aims to identify online review elements/features that will affect readers' intention to travel. Hence, the model was designed by categorized online review characteristics namely system, information and informant characteristic. These characteristics then influence perceived informativeness, destination image and informant expertise and trustworthiness viewed in reader viewpoint and eventually affect reader intention to travel. Analysis of the model was conducted by using PLS SEM with 189 valid questionnaires. The result of this study proved that some elements/features of online review influence reader intention to travel. They are quality and quantity of the reviews and destination indicator which are available on the website. However, this study suggest that current features are not sufficient to explain reviewer credibility, thus other features need to be added to the website to serve this purpose.
KW - informant characteristic
KW - information characteristic
KW - intention to travel
KW - online review
KW - system characteristis
UR - http://www.scopus.com/inward/record.url?scp=85016981085&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS.2016.7872786
DO - 10.1109/ICACSIS.2016.7872786
M3 - Conference contribution
AN - SCOPUS:85016981085
T3 - 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
SP - 263
EP - 270
BT - 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
Y2 - 15 October 2016 through 16 October 2016
ER -