scholarly journals Social Media Applied to Tourism and Hospitality

2020 ◽  
pp. 270-294 ◽  
Author(s):  
Luís Pacheco ◽  
Fernando Moreira
Keyword(s):  
Social Media ◽  
Metropolitan Area ◽  
Secondary Data ◽  
Social Knowledge ◽  
Data Set ◽  
Consumer Reviews ◽  
Social Media Tools ◽  
Tourism And Hospitality ◽  
Online Travel ◽  
The Impact

Online hotel reviews, ratings, or opinions have gained importance with the growth of social media tools. The objective of this chapter is to study the impact of specific satisfaction attributes on overall satisfaction. It is used a secondary data set obtained from three of the most influential online travel platforms, being analyzed the guests' average ratings for around 130 hotel units, distributed by four quality segments, located in the Porto metropolitan area. The application of this methodology to a large sample of Portuguese hotels has not been done before, been that the main contribution of this study. It is evidenced that the different platforms, while all incorporating consumer reviews as primary social knowledge, are distinct from each other on some aspects. The three platforms present roughly the same supply of hotels, albeit presenting some differences in terms of volume of data. In terms of specific attributes, with the exception of “service,” the three platforms present significant differences that may reflect the different user bases on these platforms.

scholarly journals Effect of Online Travel Bookings and Social Media on Tourism Destination Marketing in Nigeria

2019 ◽  
Vol 6 (1) ◽  
pp. 10-16
Author(s):  
Elizabeth Abiola-Oke ◽  
Christopher O Aina
Keyword(s):  
Social Media ◽  
Information And Communication Technologies ◽  
Secondary Data ◽  
Tourism Industry ◽  
Primary Data ◽  
Chi Square ◽  
Tourist Destinations ◽  
Information And Communication ◽  
Online Travel ◽  
The Impact

The impact of information and Communication Technologies (ICTs) is also felt in the field of tourism as it plays an essential role in the development and marketing of tourism. The study focused on the growth of Online Travel Booking in the tourism industry in terms of the internet, mobile and social media in a country like Nigeria where there are tons of tourist destinations across the country. Both primary and secondary data were used for this study. A questionnaire was designed to collect primary data. The survey was distributed to a sample of 222 students of Redeemer's University through the random selection of both genders. The Chi-square method was employed in analysing the data. Out of 222 questionnaires administered, only 200 were retrieved. Flights and Hotel reservations can be made online through e-mail, telephone calls and other internet services thereby helping to reduce if not remove the time-wasting processes of the old system entirely. It is, therefore, evident that its adoption is necessary for proper inclusion in these benefits and sustainable development of tourism.

scholarly journals The Impact of Social Media Use on Consumers’ Restaurant Consumption Experiences: A Qualitative Study

2021 ◽  
Vol 13 (12) ◽  
pp. 6581
Author(s):  
Jooyoung Hwang ◽  
Anita Eves ◽  
Jason L. Stienmetz
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Selection Process ◽  
Decision Making Process ◽  
Structured Interviews ◽  
High Standards ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Search For Information ◽  
The Impact

Travellers have high standards and regard restaurants as important travel attributes. In the tourism and hospitality industry, the use of developed tools (e.g., smartphones and location-based tablets) has been popularised as a way for travellers to easily search for information and to book venues. Qualitative research using semi-structured interviews based on the face-to-face approach was adopted for this study to examine how consumers’ restaurant selection processes are performed with the utilisation of social media on smartphones. Then, thematic analysis was adopted. The findings of this research show that the adoption of social media on smartphones is positively related with consumers’ gratification. More specifically, when consumers regard that process, content and social gratification are satisfied, their intention to adopt social media is fulfilled. It is suggested by this study that consumers’ restaurant decision-making process needs to be understood, as each stage of the decision-making process is not independent; all the stages of the restaurant selection process are organically connected and influence one another.

scholarly journals Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yahya Albalawi ◽  
Jim Buckley ◽  
Nikola S. Nikolov
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Comprehensive Evaluation ◽  
Classification Problem ◽  
Data Sets ◽  
Word Embeddings ◽  
Data Set ◽  
Lower Accuracy ◽  
Health Related ◽  
The Impact

AbstractThis paper presents a comprehensive evaluation of data pre-processing and word embedding techniques in the context of Arabic document classification in the domain of health-related communication on social media. We evaluate 26 text pre-processings applied to Arabic tweets within the process of training a classifier to identify health-related tweets. For this task we use the (traditional) machine learning classifiers KNN, SVM, Multinomial NB and Logistic Regression. Furthermore, we report experimental results with the deep learning architectures BLSTM and CNN for the same text classification problem. Since word embeddings are more typically used as the input layer in deep networks, in the deep learning experiments we evaluate several state-of-the-art pre-trained word embeddings with the same text pre-processing applied. To achieve these goals, we use two data sets: one for both training and testing, and another for testing the generality of our models only. Our results point to the conclusion that only four out of the 26 pre-processings improve the classification accuracy significantly. For the first data set of Arabic tweets, we found that Mazajak CBOW pre-trained word embeddings as the input to a BLSTM deep network led to the most accurate classifier with F1 score of 89.7%. For the second data set, Mazajak Skip-Gram pre-trained word embeddings as the input to BLSTM led to the most accurate model with F1 score of 75.2% and accuracy of 90.7% compared to F1 score of 90.8% achieved by Mazajak CBOW for the same architecture but with lower accuracy of 70.89%. Our results also show that the performance of the best of the traditional classifier we trained is comparable to the deep learning methods on the first dataset, but significantly worse on the second dataset.

Using Social Media Tools in Marketing

2017 ◽  
pp. 106-129
Author(s):  
Nozha Erragcha
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Web 2.0 ◽  
New Technologies ◽  
Profound Impact ◽  
Social Media Tools ◽  
Consumer Lifestyles ◽  
Internet Development ◽  
The Impact ◽  
Fast Acting

Within the new economic and social environment, development of new technologies combined with Internet progress has had a profound impact on consumer lifestyles and, by extension, marketing concepts and practices. Understanding changes in marketing brought by a fast-acting development of digital social networks and Web 2.0 technology has become essential. The purpose of this chapter is to examine the impact of Web 2.0 on marketing and how marketers can use evolving technologies. Our contribution aligns changes in marketing techniques with Internet development and the changes introduced by the transition from Web 1.0 to Web 2.0. The chapter ends with a proposal of about potential implications for managers.

Gamification and Social Media as Tools for Tourism Promotion

2015 ◽  
pp. 17-51 ◽  
Author(s):  
Magdalena Kachniewska
Keyword(s):  
Social Media ◽  
Computer Games ◽  
School System ◽  
Network Marketing ◽  
Tourism Activity ◽  
Social Gaming ◽  
Social Media Tools ◽  
Location Based Social Network ◽  
Tourism And Hospitality ◽  
Promotion Mechanism

The goal of this chapter is to present the application of gamification mechanism and social media tools in the promotion of tourism regions and enterprises as well as the promotion of tourism activity itself. The framework distinguishes between stimulus characteristics of the game (promotion mechanism) that lead to sociological responses toward the game (tourism brand) and actual buyers' (tourists') behaviour. Though the game-like mechanism has been applied in tourism for decades and some funware elements are well known among teens – they hardly deal with competition of computer games. Two popular systems of tourism badges in Poland are thus discussed in order to look for reasons of their falling popularity and teenagers' resistance to participate in the systems. Mobile devices enable teens to combine playing and travelling. The development of mobile applications, integrating social gaming, and location-based technology has led to the growing interest in location-based social network marketing, particularly in tourism and hospitality. The chapter concludes with a proposal how to revitalize an old-school system of tourism badges through the modern gamification mechanism combined with social media tools.

scholarly journals Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety

2020 ◽  
Vol 27 (6) ◽  
pp. 929-933
Author(s):  
George Demiris ◽  
Kristin L Corey Magan ◽  
Debra Parker Oliver ◽  
Karla T Washington ◽  
Chad Chadwick ◽  
...  
Keyword(s):  
Machine Learning ◽  
Secondary Data ◽  
Health Indicators ◽  
Machine Learning Algorithms ◽  
Standardized Assessments ◽  
Learning Tools ◽  
Data Set ◽  
Problem Solving Therapy ◽  
Audio Communication ◽  
The Impact

Abstract Objective The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety. Materials and Methods We used a secondary data set generated by a clinical trial examining problem-solving therapy for hospice caregivers consisting of 140 transcripts of multiple, sequential conversations between an interviewer and a family caregiver along with standardized assessments of anxiety prior to each session; 98 of these transcripts (70%) served as the training set, holding the remaining 30% of the data for evaluation. Results A classifier for anxiety was developed relying on language-based features. An 86% precision, 78% recall, 81% accuracy, and 84% specificity were achieved with the use of the trained classifiers. High anxiety inflections were found among recently bereaved caregivers and were usually connected to issues related to transitioning out of the caregiving role. This analysis highlighted the impact of lowering anxiety by increasing reciprocity between interviewers and caregivers. Conclusion Verbal communication can provide a platform for machine learning tools to highlight and predict behavioral health indicators and trends.

scholarly journals Factors that influence surface PM<sub>2.5</sub> values inferred from satellite observations: perspective gained for the US Baltimore–Washington metropolitan area during DISCOVER-AQ

2014 ◽  
Vol 14 (4) ◽  
pp. 2139-2153 ◽  
Author(s):  
S. Crumeyrolle ◽  
G. Chen ◽  
L. Ziemba ◽  
A. Beyersdorf ◽  
L. Thornhill ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Metropolitan Area ◽  
Scattering Coefficient ◽  
Data Set ◽  
Ambient Relative Humidity ◽  
Microphysical Properties ◽  
The Us ◽  
Dry Conditions ◽  
The Impact

Abstract. During the NASA DISCOVER-AQ campaign over the US Baltimore, MD–Washington, D.C., metropolitan area in July 2011, the NASA P-3B aircraft performed extensive profiling of aerosol optical, chemical, and microphysical properties. These in situ profiles were coincident with ground-based remote sensing (AERONET) and in situ (PM2.5) measurements. Here, we use this data set to study the correlation between the PM2.5 observations at the surface and the column integrated measurements. Aerosol optical depth (AOD550 nm) calculated with the extinction (550 nm) measured during the in situ profiles was found to be strongly correlated with the volume of aerosols present in the boundary layer (BL). Despite the strong correlation, some variability remains, and we find that the presence of aerosol layers above the BL (in the buffer layer – BuL) introduces significant uncertainties in PM2.5 estimates based on column-integrated measurements (overestimation of PM2.5 by a factor of 5). This suggests that the use of active remote sensing techniques would dramatically improve air quality retrievals. Indeed, the relationship between the AOD550 nm and the PM2.5 is strongly improved by accounting for the aerosol present in and above the BL (i.e., integrating the aerosol loading from the surface to the top of the BuL). Since more than 15% of the AOD values observed during DISCOVER-AQ are dominated by aerosol water uptake, the f(RH)amb (ratio of scattering coefficient at ambient relative humidity (RH) to scattering coefficient at low RH; see Sect. 3.2) is used to study the impact of the aerosol hygroscopicity on the PM2.5 retrievals. The results indicate that PM2.5 can be predicted within a factor up to 2 even when the vertical variability of the f(RH)amb is assumed to be negligible. Moreover, f(RH = 80%) and RH measurements performed at the ground may be used to estimate the f(RH)amb during dry conditions (RHBL < 55%).

scholarly journals WHAT IS THE IMPACT OF AFFECTIVE DISPOSITION ON 4TH-GRADE NAEP READING SCORES?

2021 ◽  
Vol 9 (10) ◽  
pp. 211-228
Author(s):  
Christina Peterson ◽  
Mingyuan Zhang
Keyword(s):  
Positive Impact ◽  
Secondary Analysis ◽  
Secondary Data ◽  
Fourth Grade ◽  
Reading Scores ◽  
Great Effort ◽  
Data Set ◽  
Fourth Grade Students ◽  
Affective Disposition ◽  
The Impact

This study presented a secondary analysis of the National Assessment of Educational Progress (NAEP) dataset. The paper examined the impact of affective disposition on 2019 NAEP reading scores of fourth-grade students. In order to gain a better understanding of the impact of affective disposition on the reading achievement of fourth-grade students, this study used a quantitative descriptive research design to analyze secondary data extracted from the 2019 NAEP data set.  The results found in this study showed that students’ affective disposition in the areas of making a great effort after making a mistake, continuing to work hard even when they felt like quitting, paying attention and resisting distractions, and feeling happy at school had positive impact on their 2019 NAEP reading assessments scores when the students strongly agreed with the statements. The findings may indicate that improving affective disposition in students may increase reading scores.

scholarly journals The impact of social media on recruitment: Are you LinkedIn?

2018 ◽  
Vol 16 ◽  
Author(s):  
Tanja Koch ◽  
Charlene Gerber ◽  
Jeremias J. De Klerk
Keyword(s):  
South Africa ◽  
Social Media ◽  
South African ◽  
Structured Interviews ◽  
Recruitment Process ◽  
Wide Range ◽  
Managerial Implications ◽  
Social Media Tools ◽  
Use Of Social Media ◽  
The Impact

Orientation: With many organisations vying for the same talent, it is important to ensure that the correct methods are utilised in identifying and attracting the best talent to an organisation.Research purpose: This research investigates the impact of social media on the recruitment process in South Africa.Motivation for the study: As the competition for qualified talent increases, organisations need to understand where to focus their resources to attract the best talent possible. The use of social media is growing daily and its use in the recruitment process seems to have grown exponentially.Research design, approach and method: The sample comprised 12 recruiters, spanning a wide range of industries in South Africa. Semi-structured interviews were conducted and a thematic analysis was utilised to identify themes and subthemes.Main findings: Despite still utilising some traditional methods of recruiting, South African recruiters follow their international counterparts, with LinkedIn being central to their respective recruitment processes. The use of Twitter and Facebook for recruitment was found to be substantially lower in South Africa than elsewhere. Without following a focused approach, the volume of work that emanates from using social media may overwhelm a recruiter.Practical and managerial implications: Recruiters cannot execute effective recruitment without applying social media tools such as LinkedIn. However, training in the optimal use of social media is essential.Contribution: This study indicates that LinkedIn has a major impact on recruitment in South Africa, but that social media is not a panacea for recruitment issues.

Consumer attitude towards Eco-friendly products

2019 ◽  
Vol 118 (6) ◽  
pp. 163-170
Author(s):  
M. Amarnath ◽  
PS. Nagarajan
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Electronic Communication ◽  
Secondary Data ◽  
Primary Data ◽  
Consumer Attitude ◽  
Purchase Decisions ◽  
Market Place ◽  
The Right ◽  
The Impact

The purchaser mindfulness and inspiration kept on driving change in the market place, strikingly through the presentation of more eco- friendly products.  This study deals with eco-friendly products and its impact on social media.  In this scenario social media had emerged as a platform of electronic communication through sharing of knowledge, ideas and user generated contents through networking and blogging. It tries to assess how different level of perceived feeling from usage influence the impact of advertisements through social media, blogs, peer opinion via social networking and products update towards making green purchase decisions of the consumers.  With respect to this, buyers are assuming liability and doing the right things. Customer frame of mind and inspiration keep on driving change in market place, outstandingly through the presentation of more eco- friendly products.  This paper analyses the consumer attitude towards eco-friendly products both directly and indirectly.  In this paper both primary and secondary data were collected. Structured questionnaires were used to collect primary data from the consumers through questionnaires.  The secondary data was collected from website and reports.  For statistical analyses, SPSS used and Statistical tools like (i.e.) percentage analysis, ANOVA, Correlation and ‘z’ test were applied.  The findings were based on the Research hypothesis, demographic profile and various dimensions of consumer attitude towards eco-friendly products.  Suggestions and Conclusion are based on these findings.   

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