The Influence of Social Media in Promoting the Tourism and Hospitality Industry: A Case Study of Jordan

2019 ◽  
Vol 118 (12) ◽  
pp. 130-141
Author(s):  
Khaled Alsardia
Keyword(s):  
Social Media ◽  
Hospitality Industry ◽  
Quantitative Methods ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Globalized World ◽  
Potential Customers

Social media is one of the most popular, effective, and accessible means for the communication of information in today’s globalized world. Harnessed as a tool for marketing, it can help exponentially expand businesses by instantly spreading the word about their products and services to countless existing and potential customers. The aim of this research is to study the influence of social media in promoting tourism and hospitality in Jordan. Data were gathered using an online Google Form questionnaire sent out to nearly 150 respondents via WhatsApp and analysed via quantitative methods using SPSS 20.0.

scholarly journals Relief, Recovery, and Revitalization Measures for Tourism and Hospitality Industry During Covid-19 Pandemic: Case Study From Taiwan

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110408
Author(s):  
Li-Fan Wu ◽  
Jennet Achyldurdyyeva ◽  
Wei-Ping Jou ◽  
Wei-Ting Foung ◽  
Bih-Shiaw Jaw
Keyword(s):  
Value Chain ◽  
Hospitality Industry ◽  
Business Owners ◽  
Tourism Industry ◽  
Border Control ◽  
Government Response ◽  
Business Operations ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

The Covid-19 pandemic has severely disrupted lives and economies around the world. Every part of tourism and hospitality value chain has been affected by the unprecedented travel and mobility restrictions (border control, lockdowns, quarantines, curfews, social distancing) undertaken by governments to contain the spread of the virus. This case study is an in-depth investigation on the Taiwan’s government response to support tourism industry stakeholders during Covid-19 pandemic. Data are gathered from a variety of sources, including government policy, procedures, and interviews with business owners and observations of day-to-day business operations. This study presents novel effective government practices and cooperation with tourism and hospitality business during Covid-19 pandemic crisis.

Deep Learning and Machine Learning Techniques for Analyzing Travelers' Online Reviews

2022 ◽  
pp. 20-39
Author(s):  
Elliot Mbunge ◽  
Benhildah Muchemwa
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Deep Learning ◽  
Hospitality Industry ◽  
Learning Models ◽  
Online Data ◽  
Social Media Platforms ◽  
Using Data ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

Social media platforms play a tremendous role in the tourism and hospitality industry. Social media platforms are increasingly becoming a source of information. The complexity and increasing size of tourists' online data make it difficult to extract meaningful insights using traditional models. Therefore, this scoping and comprehensive review aimed to analyze machine learning and deep learning models applied to model tourism data. The study revealed that deep learning and machine learning models are used for forecasting and predicting tourism demand using data from search query data, Google trends, and social media platforms. Also, the study revealed that data-driven models can assist managers and policymakers in mapping and segmenting tourism hotspots and attractions and predicting revenue that is likely to be generated, exploring targeting marketing, segmenting tourists based on their spending patterns, lifestyle, and age group. However, hybrid deep learning models such as inceptionV3, MobilenetsV3, and YOLOv4 are not yet explored in the tourism and hospitality industry.

scholarly journals ANALISIS DAN VISUALISASI HOST LIBURAN SINGKAT MENGGUNAKAN PENDEKATAN ANALISIS GEOSPASIAL

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Irwan Setiawan
Keyword(s):  
Hospitality Industry ◽  
Rapid Development ◽  
Sharing Economy ◽  
Situation Analysis ◽  
Accommodation Sector ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Python Programming ◽  
Analyze Data

The development of sharing economy that happened exponentially has changed the accommodation sector in the tourism and hospitality industry. The varied customer experience, facilities, and range of prices offered has made this business model an alternative to traditional accommodation services and is a favorite among tourists. The rapid development of information technology facilitates many online platforms that provide property rental services with the concept of sharing economy. This makes the tourism and hospitality industry rich in data. This study aims to analyze data on property rental advertisements focusing on short vacation services with a case study of Airbnb data in Singapore. The results of the study are expected to be used by new players or old players in the business as one of the considerations of situation analysis for making decisions. The analysis was carried out to obtain patterns and relationships from data related to prices, room types, and property distribution in the form of diagrams and maps. This study uses a visual data analysis approach using the Python programming language.

scholarly journals Investigating Online Social Media Network Acceptance in the Tourism and Hospitality Industry in Oman

2021 ◽  
Vol 12 (2) ◽  
pp. 218
Author(s):  
Salim Al-Hajri ◽  
Abdelghani Echchabi ◽  
Mohammed Mispah Said Omar ◽  
Abdullah Mohammed Ayedh
Keyword(s):  
Social Media ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Hospitality Industry ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Online Social Media ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

In the emerging tourism and hospitality industries such as that of Oman, companies can market their services and products using the Social Media Networks (hereafter SMNs) and engage customers to identify their requirements online. Oman recognizes the benefits of SMNs in the tourism and hospitality industry and it has made major efforts to ensure the success of this newly introduced industry like its neighboring country the United Arab Emirates (hereafter UAE). Even though, the hospitality industry is vital to the economy of Oman, the Omani hospitality industry continues employing the conventional approach while conducting transactions. Understanding the influence of accepting such an innovation in the hospitality industry in Oman raises a fruitful research question to investigate. Therefore, it is this study’s objective to examine the influence of SMNs Acceptance in the tourism and hospitality industry in Oman. For the attainment of the study’s objective, the study uses a survey questionnaire to 200 respondents that have visited Oman recently, where 182 responses were properly filled and returned. The structural equation modeling (hereafter SEM) had been utilized to analyze the collected data. The results reveal that the respondents had high degree of satisfaction with their travel experience and they intended to continue using SMNs for tourism purposes. Nonetheless, it was found that the major factors influencing their decisions are: perceived usefulness, perceived ease of use, subjective norms and reliability.

Sign in / Sign up

Export Citation Format

Share Document