scholarly journals The Influence of Social Media on Buy Decision-making of Young Chinese Consumers

2020 ◽  
Vol 218 ◽  
pp. 01037
Author(s):  
Xiao-lie Qi
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Primary Source ◽  
Negative Information ◽  
Chinese Consumers ◽  
Daily Lives ◽  
Media Messages ◽  
Primary Users ◽  
Source Of Information ◽  
Buying Decisions

Social media is playing an increasingly important role in our daily lives. Young Chinese consumers are the primary users of social media in China. Social media is the primary source of information for young Chinese customers, influencing their buying decisions. Through the research obtained three main results: Young Chinese consumers use social media for information. Social media messages are their primary source of information. Social media information influences buy decisions making of young Chinese consumers. Number of negative information on social media moderates the relationships between trust in information of social media and intention to buy

Deepening the Use of Social Media and Tourism Travel Behaviour

2020 ◽  
pp. 66-81 ◽  
Author(s):  
Cláudia Ribeiro de Almeida ◽  
Célia M.Q. Ramos ◽  
Maria del Mar Alonso Almeida ◽  
Paula Odete Fernandes ◽  
Lucas Estrada Gamarra
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Travel Behaviour ◽  
The Internet ◽  
Daily Lives ◽  
Social Media Platforms ◽  
Distribution Chain ◽  
Use Of Social Media ◽  
Travel Decision ◽  
Tourist Information

The Internet has transformed people's daily lives, not only in the search of information but above all giving the possibility of buying several products and services in a quick and easy way. Social networks have emerged as the quintessential medium for sharing experiences and communicating tourist information to all players in the tourism distribution chain. Today, we can sell, search, consume, connect, and share experiences related to our travel or services on different social media platforms and some online communities that share the same interests. The focus of this chapter is to point out the use of social media along the travel process in order to understand the behaviour of tourists before, during, and after trip. Having in mind the travel decision-making process the authors prepared a questionnaire with several questions spread through Facebook and answered by 95 people. The authors present the results and main conclusions in the chapter.

scholarly journals Exploring Peoples' Perception of Autonomy and Reactance in Everyday AI Interactions

2021 ◽  
Vol 12 ◽  
Author(s):  
Supraja Sankaran ◽  
Chao Zhang ◽  
Henk Aarts ◽  
Panos Markopoulos
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Social Media ◽  
Future Development ◽  
Human Interaction ◽  
Potential Threat ◽  
Daily Lives ◽  
The Social ◽  
Human Autonomy ◽  
Design Fiction

Applications using Artificial Intelligence (AI) have become commonplace and embedded in our daily lives. Much of our communication has transitioned from human–human interaction to human–technology or technology-mediated interaction. As technology is handed over control and streamlines choices and decision-making in different contexts, people are increasingly concerned about a potential threat to their autonomy. In this paper, we explore autonomy perception when interacting with AI-based applications in everyday contexts using a design fiction-based survey with 328 participants. We probed if providing users with explanations on “why” an application made certain choices or decisions influenced their perception of autonomy or reactance regarding the interaction with the applications. We also looked at changes in perception when users are aware of AI's presence in an application. In the social media context, we found that people perceived a greater reactance and lower sense of autonomy perhaps owing to the personal and identity-sensitive nature of the application context. Providing explanations on “why” in the navigation context, contributed to enhancing their autonomy perception, and reducing reactance since it influenced the users' subsequent actions based on the recommendation. We discuss our findings and the implications it has for the future development of everyday AI applications that respect human autonomy.

scholarly journals From Data to Knowledge Engineering for Cybersecurity

2019 ◽  
Author(s):  
Gerardo I. Simari
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Research And Development ◽  
Knowledge Engineering ◽  
Data Sources ◽  
Daily Lives ◽  
Cyber Threats ◽  
Knowledge Based ◽  
Decision Making Processes ◽  
Near Future

Data present in a wide array of platforms that are part of today's information systems lies at the foundation of many decision making processes, as we have now come to depend on social media, videos, news, forums, chats, ads, maps, and many other data sources for our daily lives. In this article, we first discuss how such data sources are involved in threats to systems' integrity, and then how they can be leveraged along with knowledge-based tools to tackle a set of challenges in the cybersecurity domain. Finally, we present a brief discussion of our roadmap for research and development in the near future to address the set of ever-evolving cyber threats that our systems face every day.

Brand’s Cool Dimension Effect on Customer Satisfaction and Its Implication to Visual E-WoM

2020 ◽  
Vol 6 (2) ◽  
pp. 81-86
Author(s):  
Trihadi Pudiawan Erhan ◽  
Purnamaningsih Purnamaningsih ◽  
Nosica Rizkalla
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Significant Influence ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Primary Source ◽  
The Other ◽  
Equation Modeling ◽  
Source Of Information

As Word of Mouth (WOM) progress as one of the most potent marketing instruments, millennials are a vital contributor to the growth of eWOM. Considering how powerful eWOM is and the significance of millennials as the generation that derives the transformation of eWOM as the primary source of information for the customer, it is important to know the variables that drive millennial customers desire to provide information about product and service through their own social media account. This study then employed structural equation modeling to analyze the data. This study finds that out of the two, cool factors only hedonic cool is proven to have a positive and significant influence on customer satisfaction. The other finding is that active Visual eWOM activity of customer are positively influenced by customer satisfaction.

scholarly journals Intra-party politics in 140 characters

2016 ◽  
Vol 23 (1) ◽  
pp. 7-17 ◽  
Author(s):  
Andrea Ceron
Keyword(s):  
Social Media ◽  
Media Analysis ◽  
Party Leader ◽  
Social Media Analysis ◽  
Political Actors ◽  
The Public ◽  
Media Messages ◽  
Italian Case ◽  
Quantitative Text Analysis ◽  
Source Of Information

Scholars have emphasized the need to deepen investigation of intraparty politics. Recent studies look at social media as a source of information on the ideological preferences of politicians and political actors. In this regard, the present article tests whether social media messages published by politicians are a suitable source of data. It applies quantitative text analysis to the public statements released by politicians on social media in order to measure intraparty heterogeneity and assess its effects. Three different applications to the Italian case are discussed. Indeed, the content of messages posted online is informative on the ideological preferences of politicians and proved to be useful to understand intraparty dynamics. Intraparty divergences measured through social media analysis explain: (a) a politician’s choice to endorse one or another party leader, (b) a politician’s likelihood to switch off from his or her parliamentary party group; and (c) a politician’s probability to be appointed as a minister.

Social Media; its role in the infodemic of COVID-19

2021 ◽  
Vol 1 (4) ◽  
pp. e188
Author(s):  
Mohammad Ali Akbar ◽  
Zubia Zaman ◽  
Muhammad Ahsan Abbasi ◽  
Imran Mansoor Raza ◽  
Muneeza Ali ◽  
...  
Keyword(s):  
Social Media ◽  
Linear Correlation ◽  
Online Survey ◽  
English Language ◽  
Pearson Correlation ◽  
Primary Source ◽  
Sampling Technique ◽  
Geographic Area ◽  
Cross Sectional ◽  
Source Of Information

Introduction: A pandemic is defined as an outbreak of a disease that occurs over a wide geographic area and affects an exceptionally high proportion of the global population.Objective: This study aims to observe the discrepancies that social media provides users in terms of information regarding COVID-19 and how that information can affect practices for prevention against the virus.Methods: A cross-sectional study, with a non-probability convenience sampling technique, was conducted during April 2020. An online survey was created on Google Forms in the English language, and participants were invited to complete and submit the form. A total of 402 responses were received in one month. Citizens of age 18-60 partook in the study, and respondents tested positive for Covid-19 were excluded from the study as it could lead to bias.Results: A total of 375 responses were selected out of the 402 responses received. Six responses were excluded who tested positive for Covid-19, and 21 responses were rejected as they were filled incompletely. The mean age of respondents was 27.53 years (S.D 8.188), and there were more females, 52.53% (n=197) than male, 46.67%(175) participants. A Pearson correlation (r) of 0.383 between knowledge and practices of people who use social media as their primary source of information suggests a moderate linear correlation. People who did not use social media as their primary source of information had a stronger linear correlation (r=0.640) between knowledge and practices.Conclusion: According to the study, social media provided people with correct knowledge as well as encouraged efficient practices while also contributing to the spread of false news and malpractices.

scholarly journals Egyptian Consumers’ Perception of Social Media as Health Information Source

2015 ◽  
Vol 7 (4) ◽  
pp. 267 ◽  
Author(s):  
Riham Adel Hassan Sayed Ahmed
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Health Information ◽  
Information Source ◽  
Healthcare Providers ◽  
Healthcare Organizations ◽  
The Right ◽  
Source Of Information

<p>The paper addresses the contemporary question of social media role as credible and trustworthy source of information. However, social media have provided healthcare organizations with new opportunities to communicate and engage with consumers. Nevertheless, healthcare providers should understand the key stages of consumers’ decision-making and tailor the right message at the right time, in the right place to the right consumers’ segment, which will to increase their chance of reaching and influencing consumers’ behaviors and perceptions.</p>

scholarly journals Italian codified hashtags for weather warning on Twitter – who is really using them?

2017 ◽  
Vol 14 ◽  
pp. 63-69
Author(s):  
Valentina Grasso ◽  
Alfonso Crisci ◽  
Marco Morabito ◽  
Paolo Nesi ◽  
Gianni Pantaleo ◽  
...  
Keyword(s):  
Social Media ◽  
Primary Source ◽  
Relevant Information ◽  
Data Set ◽  
Twitter Data ◽  
Lay People ◽  
Emergency Managers ◽  
Social Media Platforms ◽  
Source Of Information

Abstract. During emergencies, an increasing number of messages are shared through social media platforms, becoming a primary source of information for lay people and emergency managers. Weather services and institutions have started to employ social media to deliver weather warnings even if sometimes this communication lacks in strategy. In Twitter, for example, hashtagging is very important to associate messages with certain topics; in recent years, codified hashtagging is emerging as a practical way to coordinate Twitter conversations during emergencies and quickly retrieve relevant information. In 2014, a syntax for codified hashtags for weather warning was proposed in Italy: a list of 20 hashtags, realized by combining #allertameteo (weather warning) + XXX, where final letters code the regional identification. This contribution presents a monitoring of Twitter usage of weather warning codified hashtags in Italy (since July 2015) and an analysis of different contexts. Twitter messages were retrieved using TwitterVigilance, a multi-users platform to crawl Twitter data, collect and store messages and perform quantitative analytics, about users, hashtags, tweets/retweets volumes. The Codified Hashtags data set is presented and discussed with main analytics and evaluation of regional contexts where it was successfully employed.

scholarly journals Preferensi Informasi dan Perilaku Bermedia Warganet di Akun Instagram Media Informasi Selebritas

2019 ◽  
Vol 16 (2) ◽  
pp. 191
Author(s):  
Prof. YA Nunung Prajarto, Ph.D ◽  
Syaifa Tania, S.IP., M.A. ◽  
Mashita Phitaloka Fandia Purwaningtyas, S.IP., M.A.
Keyword(s):  
Social Media ◽  
Primary Source ◽  
Specific Information ◽  
Social Informatics ◽  
Use Of Social Media ◽  
Celebrity News ◽  
Source Of Information

The use of social media as a source of information is undeniably important. As it can be used to disseminate specific information, numbers of informational based accounts emerge in various topics, including Instagram accounts which specifically bring out celebrity news as their main information. Using a social informatics perspective approach, this paper aims to capture netizen behavior related to their media habit in accessing it. The results show these accounts emerge as the primary source of information about infotainment issues. However, netizens are unwilling to leave any digital trace related to their activities during accessing these accounts.

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