Investigation of the technology effects of online travel media on virtual travel experience and behavioral intention

2021 ◽  
pp. 32-48
Author(s):  
Youngjoon Choi ◽  
Benjamin Hickerson ◽  
Jinsoo Lee
Keyword(s):  
Behavioral Intention ◽  
Travel Experience ◽  
Online Travel ◽  
Technology Effects

Online Travel Agent for Tourism System Using Big Data and Cloud

2020 ◽  
Vol 11 (2) ◽  
pp. 396
Author(s):  
Ahmad Nurul FAJAR ◽  
Aldian NURCAHYO ◽  
Nunung Nurul QOMARIYAH
Keyword(s):  
Big Data ◽  
Internet Technology ◽  
Online Video ◽  
Travel Agent ◽  
The Past ◽  
Travel Experience ◽  
Data Points ◽  
Data Lifecycle ◽  
Critical Components ◽  
Online Travel

Nowadays, more and more people can enjoy fast internet access that can be used for various activities such as browsing, shopping online, video calls, playing games and so on. Businesses are also utilizing this very rapid increase in internet technology. They sell products and services through the internet with various attractive offers and competing with each other to increase their sales. One strategy that can be done to get more sales is through the method of personalizing services for customers. The personalization aspect in e-tourism has been predicted to increase. Customers who are making valuable data at every stage of their journey are making a challenge for travel companies to collect and link these data points to improve their customer experience. Learning the customer behaviour can be very significant for Online Travel Agent. Because collecting millions of search results through their services and provide a smart travel experience, Online Travel Agent in Indonesia must use Big Data and Cloud technology alignment to win the competition in the market. The entire data lifecycle must be simple because of the needs of users to keep batch ingesting a lot of data likes once in an hour. Streaming analytics has grown over the past few years, it has become one of the most critical components of most of the businesses. We proposed Online Travel Agent (OTA) for Tourism System Using Big Data and Cloud.

Understanding the Sources of Online Travel Information

2017 ◽  
Vol 57 (1) ◽  
pp. 116-128 ◽  
Author(s):  
Youngjoon Choi ◽  
Benjamin Hickerson ◽  
Deborah Kerstetter
Keyword(s):  
Behavioral Intention ◽  
Visual Cues ◽  
Psychological Effects ◽  
Destination Marketing ◽  
Visual Cue ◽  
Travel Information ◽  
Star Rating ◽  
Information Credibility ◽  
Online Travel ◽  
Technological Perspective

Given that online travel media enable multilateral communication patterns in destination marketing, this study investigates technical attributes presenting the number and type of source-related visual cues. From a technological perspective, the sources of online travel information can be conceptualized in terms of specialization, endorsement, and other users’ star rating to reflect technological functions and psychological effects. An experiment with a 2 (specialization: a generalist website vs. a specialist website) × 2 (endorsement: absence vs. presence) × 3 (star rating: low vs. medium vs. high) factorial between-subjects design was conducted to test the relationships between source-related visual cues, cue-induced perceptions, information credibility, and destination images. This study found that each source-related visual cue produced distinctive psychological effects on a tourist’s perceptions. Furthermore, these cue-induced perceptions were influential to tourists’ judgment of information credibility, which was positively related to destination images and behavioral intention.

scholarly journals USER ACCEPTANCE OF ONLINE TRAVEL AGENTS AGENT FOR MILLENIALS AND GEN Z

2019 ◽  
Vol 3 (2) ◽  
pp. 375
Author(s):  
Muhammad Faikar Thaufan Lubis ◽  
Filda Rahmiati
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Travel Agents ◽  
Use Of Technology ◽  
Perceived Security ◽  
Use Behavior ◽  
Online Travel

Pariwisata adalah salah satu sektor yang berkontribusi paling besar terhadap perekonomian suatu negara. Selain itu, ia berkontribusi paling besar bagi pembangunan berkelanjutan seperti di Indonesia. Salah satu pemain pariwisata adalah agen perjalanan online yang melayani kebutuhan wisatawan sebelum bepergian. Karena itu, penting bagi agen perjalanan untuk memenuhi kebutuhan wisatawan. Tujuan dari penelitian ini adalah untuk menentukan penerimaan pengguna terhadap agen perjalanan online di Gen Z dan Millennials. Penelitian ini dilakukan untuk mempelajari model Unified Theory Acceptance dan Use of Technology 2 (UTAUT2). Populasi dari penelitian ini adalah semua orang yang pernah membeli tiket dan / atau memesan akomodasi di Agen Perjalanan Online menggunakan purposive sampling non-probabilitas. Penelitian ini mengumpulkan data dengan menyebarkan kuesioner elektronik (e-kuesioner). 200 responden memenuhi kriteria dalam penelitian ini. Untuk menganalisis data, Partial Least Square - Structural Equation Model (PLS-SEM) dianalisis menggunakan SmartPLS 3.2.8. Hasil penelitian ini menunjukkan bahwa Pengaruh Sosial, Motivasi Hedonik, dan Kebiasaan berpengaruh signifikan terhadap Behavioral Intention. Behavioral Intention juga memiliki pengaruh signifikan terhadap Use Behavior. Dalam efek moderasi, hanya Umur yang dapat memoderasi Pengaruh Sosial pada Niat Perilaku. Dengan demikian, direkomendasikan untuk penelitian selanjutnya untuk menggunakan model UTAUT2 yang lengkap dan menambahkan variabel Perceived Security. Di sisi lain, Pegipegi harus menambahkan lebih banyak layanan pada bisnis utama mereka. Tourism is one of the sectors that contribute the most to a country's economy. Moreover, it contributes most to sustainable development such as in Indonesia. One of tourism players is an online travel agency that caters to the needs of tourists before travelling. Therefore, it is important for travel agents to meet the needs of tourists. The purpose of this study was to determine user acceptance of online travel agents in Gen Z and Millennials. This research carried out to study Unified Theory Acceptance and Use of Technology 2 (UTAUT2) model. The population of this study is everyone who ever purchased ticket and/or booking accommodation on Online Travel Agent using non-probability purposive sampling. This research collected the data by spreading electronic questionnaire (e-questionnaire). 200 respondents met criteria in this research. To analyze the data, Partial Least Square – Structural Equation Model (PLS-SEM) analyzed using SmartPLS 3.2.8. The result of this research indicated that Social Influence, Hedonic Motivation, and Habit has significant influence on Behavioral Intention. Behavioral Intention also has significant influence on Use Behavior. In moderating effect, only Age can moderate Social Influence on Behavioral Intention. Thus, it is recommended for next research to use the complete of UTAUT2 model and add Perceived Security variable. On the other hand, Pegipegi should add more services on their main business.

Profiling the Users of Travel Websites for Planning and Online Experience Sharing

2010 ◽  
Vol 36 (3) ◽  
pp. 418-426 ◽  
Author(s):  
Crystal Ip ◽  
Hee (Andy) Lee ◽  
Rob Law
Keyword(s):  
Large Scale ◽  
Travel Planning ◽  
Highly Educated ◽  
The Past ◽  
Travel Experience ◽  
Academic Researchers ◽  
University Level ◽  
Travel Websites ◽  
High Level ◽  
Online Travel

This article reports the findings of a study that examined Hong Kong online users who use travel websites for travel planning and online travel experience sharing. The empirical findings from a large-scale domestic survey conducted in 2010 reveal that 32.7% of the respondents had used at least one travel website for travel planning in the past 2 years. In addition, 24.5% of these respondents had shared their travel experience online. On the whole, the travel website users were young, highly educated, and had a high level of personal income. In general, the propensity to share travel experiences decreased with age. In contrast, education level up to college/university level positively influenced the respondents’ willingness to share travel experiences, but the propensity decreased with higher levels of education. This study, although limited in scope, will be of interest to academic researchers and industry practitioners who are seeking to better understand the behavior of travelers using the Internet.

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