scholarly journals A trend study on the impact of social media in decision making

2019 ◽  
pp. 201-222 ◽  
Author(s):  
E. Gilani ◽  
D. Salimia ◽  
M. Jouyandeh ◽  
Keyvan Tavasoli ◽  
Wing-Keung Wong
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Trend Study ◽  
The Impact

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 THE ROLE OF SOCIAL MEDIA ON MIGRATION DECISION-MAKING PROCESSES: Case of Indonesian Student in University of Groningen

2018 ◽  
Vol 6 (1) ◽  
pp. 515
Author(s):  
Inayah Hidayati
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Migration Decision ◽  
Decision Making Process ◽  
Migration Behavior ◽  
Interview Guide ◽  
Destination Area ◽  
Decision Making Processes ◽  
The Impact

Objective: This research aims to explain the impact of social media on the migration decision-making process of Indonesian student migrants in University of Groningen who used a social media account. In detail, this research will consider the role of social media in the migration decision-making process of students who emigrated from Indonesia and how they uses social media in the context of the migration decision-making process. Methods: The data collected included qualitative data from in-depth interviews and supported by study literatures. An interview guide was formulated to facilitate the indepth interviews and generate a better understanding of migration behavior. Expectation: Social media help Indonesian student migrants on migration decision making process and they use social media for searching information about destination area. Result: Student migrant in University of Groningen use their social media to gain information before they choose that university for study. They use Facebook to making contact with their friends and collagues in the destination country. Student group on Facebook help Indonesian student to get information about school and daily life.

The role of elaboration likelihood routes in relationships between user-generated content and willingness to pay more

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bekir Bora Dedeoğlu ◽  
Anil Bilgihan ◽  
Ben Haobin Ye ◽  
Yajun Wang ◽  
Fevzi Okumus
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Willingness To Pay ◽  
Structural Equation ◽  
Group Analysis ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Content Type ◽  
Central Route ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of social media sharing on tourists’ willingness to pay more (WPM) at destinations. The moderating effects of tourists’ preferred route in decision-making or obtaining information (i.e. central or peripheral routes) were also examined. Design/methodology/approach A theoretical model was developed and tested using partial least squares structural equation modeling (PLS-SEM). Moderating effects of central and peripheral routes were tested using PLS multi-group analysis. Data were collected from 478 tourists in Antalya, Turkey, a sea, sun and sand tourist destination. Findings Findings indicate that importance attached to participant sharing (IPS) and importance attached to non-participant sharing (INPS) are significant antecedents of tourists’ WPM intentions. Moderating effects of tourists’ preferred route in decision-making reveal that the effect of IPS on WPM intention is more influential for those with high central route preferences than those with low central route preferences. While the effects of INPS and IPS on WPM intention is more determinative for those with higher peripheral route preferences. Practical implications Although it is known by the practitioners that consumer-generated contents are important, this research suggests and supports that these contents trigger tourists to pay higher prices. Originality/value How WPM is motivated by others’ social media sharing was not very clear in the literature. Therefore, this research gap was addressed in part by examining the social media sharing structure in terms of whether others posted on organization-related sites or on personal sites.

scholarly journals Defending the media from itself: Reforming media regulations to minimise the impact of misinformation

European View ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 210-219
Author(s):  
Juha-Pekka Nurvala ◽  
Amelia Buckell
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Case Studies ◽  
Search Engines ◽  
Behavioural Changes ◽  
Social Media Platforms ◽  
The Media ◽  
The Uk ◽  
The Impact

This article argues that media regulations on correcting incorrect articles are in dire need of reform due to technological and behavioural changes. By using case studies from the UK, the authors demonstrate the huge difference between the number of people who were reached by the original article before the Independent Press Standards Organisation (the regulator in the UK) ruled it incorrect and the number reached by the correction or corrected article. The authors argue that media regulations must be reformed to ensure that corrections reach the same people as the original incorrect article to avoid misinformation impacting peoples’ decision-making, and that reforms must include social media platforms and search engines.

scholarly journals Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media

Publications ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 12 ◽  
Author(s):  
Núria Bautista-Puig ◽  
Daniela De Filippo ◽  
Elba Mauleón ◽  
Elías Sanz-Casado
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Citizen Science ◽  
Web Of Science ◽  
Open Science ◽  
Scientific Output ◽  
Scientific Culture ◽  
Triple Interaction ◽  
New Knowledge ◽  
The Impact

Citizen science (CS) aims primarily to create a new scientific culture able to improve upon the triple interaction between science, society, and policy in the dual pursuit of more democratic research and decision-making informed by sound evidence. It is both an aim and an enabler of open science (OS), to which it contributes by involving citizens in research and encouraging participation in the generation of new knowledge. This study analyses scientific output on CS using bibliometric techniques and Web of Science (WoS) data. Co-occurrence maps are formulated to define subject clusters as background for an analysis of the impact of each on social media. Four clusters are identified: HEALTH, BIO, GEO and PUBLIC. The profiles for the four clusters are observed to be fairly similar, although BIO and HEALTH are mentioned more frequently in blogposts and tweets and BIO and PUBLIC in Facebook and newsfeeds. The findings also show that output in the area has grown since 2010, with a larger proportion of papers (66%) mentioned in social media than reported in other studies. The percentage of open access documents (30.7%) is likewise higher than the overall mean for all areas.

Big Data and Democracy

2020 ◽  
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Big Data ◽  
Data Collection ◽  
Political Campaigns ◽  
Original Research ◽  
Targeted Advertising ◽  
Echo Chambers ◽  
Political Turmoil ◽  
The Impact

This edited collection tackles subjects that have arisen as a result of new capabilities to collect, analyse and use vast quantities of data using complex algorithms. Questions tackled include what is wrong with targeted advertising in political campaigns, whether echo chambers really are a matter of genuine concern, what is the impact of data collection through social media and other platforms on questions of trust in society and is there a problem of opacity as decision-making becomes increasingly automated? The contributors consider potential solutions to these challenges and discuss whether an ethical compass is available or even feasible in an ever more digitized and monitored world. The editors bring together original research on the philosophy of big data and democracy from leading international authors, with recent examples and case references – including the 2016 Brexit Referendum, the Leveson Inquiry and the Edward Snowden leaks – and combine them in one authoritative volume at time of great political turmoil.

The influencing role of social media in the consumer’s hotel decision-making process

2019 ◽  
Vol 11 (4) ◽  
pp. 378-391 ◽  
Author(s):  
Vikas Gupta
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Information Search ◽  
Decision Making Process ◽  
Content Type ◽  
Social Media Platform ◽  
The Social ◽  
Media Platform ◽  
The Impact

Purpose This study aims to evaluate the role of social media on the hotel decision-making process of consumers during the evaluation stage of searching, identifying the alternatives and selecting a hotel in India. It will help the stakeholders in the hotel industry of India to make the social media platform more efficient for consumers by providing inputs on the factors consumers consider while making online hotel purchase. Design/methodology/approach This study involves an exploratory qualitative approach which includes 32 face-to-face, semi-structured, in-depth individual interviews with the social media platform users. The selection of interviewees for this study has been done on the basis of a non-random purposive sampling approach. Findings The findings reveal that social media plays an important role in affecting the way consumers search, decide and book hotels. It also suggests that social media helps consumers in collecting information about products and services, assessing alternatives and making their choices. It confirms that while negative facets exist, the positive benefits outweigh the negative aspects of using social media when selecting a hotel. The results also reveal the impact of circumstantial influence related to social media on hotel selection, on the basis of content source and the level of trust and accuracy in the content. Practical implications This study has some strategic implications for hospitality marketing and management related to a better understanding of the influence of social media on the hotel customer decision-making process. The study shows that a variety of social media with associated content sources and levels add to the complexity of hotel-related information search and decision behaviour. Originality/value The study makes a contribution by addressing the existing gaps and bridging the arena of consumer behaviour and social media literature in a hotel context and sheds light on how consumer decisions while selecting a hotel are influenced through social media. The core contribution is the generation of factors through in-depth interviews which are based on real-life scenarios relating to the influence of social media on hotel decision-making.

Pre- and Midtrial Publicity in the Age of Internet and Social Media

2018 ◽  
Author(s):  
Tarika Daftary-Kapur ◽  
Steven D. Penrod
Keyword(s):  
United States ◽  
Decision Making ◽  
Social Media ◽  
Internet Use ◽  
The United States ◽  
Juror Decision Making ◽  
The Internet ◽  
The Impact ◽  
Internet And Social Media

Although juror misconduct has always been a concern, the prevalence of technology available to jurors has increased the ease with which jurors can improperly communicate with others, publish information regarding the trial, and conduct outside research on the case. This chapter discusses the role of the Internet and social media in the courtroom and how access to this information in the form of midtrial publicity might impact juror decision-making. Additionally, it discusses steps that have been taken by courts around the United States to address the issue of Internet use by jurors as well as recommendations to limit the impact of the Internet and social media on juror decision-making.

Public Opinion on Dockless Bike Sharing: A Machine Learning Approach

2019 ◽  
Vol 2673 (4) ◽  
pp. 195-204 ◽  
Author(s):  
Ali Rahim Taleqani ◽  
Jill Hough ◽  
Kendall E. Nygard
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Public Opinion ◽  
Transportation Planning ◽  
Media Technologies ◽  
Advantages And Disadvantages ◽  
Machine Learning Approach ◽  
Bike Sharing ◽  
Planning Processes ◽  
The Impact

Dockless bike sharing is an emerging paradigm. Like many other technologies, it brings advantages and disadvantages to communities. Further investigation into public opinion will shed light on the impact of this technology on communities and provide input to city authorities for transportation planning. Transportation planning processes can be enhanced by engaging the community through social media technologies. Social media like Twitter, Facebook, and other microblogging media have been used for planning, but have not been extensively evaluated for that purpose. This study examined approximately 32,000 posts on Twitter to assess public opinion on dockless bike-sharing systems. Using a mix of text mining and statistical techniques, we examined relevant posts to determine the sentiment polarity of tweets, the underlying topics in the tweets, and the extent of engagement and impact on the decision-making process. Results given by two different sentiment algorithms show that there is more positive than negative polarity across the algorithms. Also, the findings show that the underlying topics in tweets include electric scooters, private e-hailing companies, and blockage of sidewalks, among others. The results indicate that the dockless shared mobility models are potentially useful in generating participation, but faced substantial technical, analytical, and communication barriers to influencing decision-making.

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