Business value of social media adoption: A comparison between the U.S. and Taiwan

Author(s):  
Xinyuan Tao ◽  
Zhuang Qian ◽  
Chieh Lee ◽  
Chia Ching Chou ◽  
Winston Lin
Keyword(s):  
2019 ◽  
Vol 8 (1) ◽  
pp. 114-133

Since the 2016 U.S. presidential election, attacks on the media have been relentless. “Fake news” has become a household term, and repeated attempts to break the trust between reporters and the American people have threatened the validity of the First Amendment to the U.S. Constitution. In this article, the authors trace the development of fake news and its impact on contemporary political discourse. They also outline cutting-edge pedagogies designed to assist students in critically evaluating the veracity of various news sources and social media sites.


Author(s):  
Gordon Moore ◽  
John A. Quelch ◽  
Emily Boudreau

Choice Matters: How Healthcare Consumers Make Decisions (and Why Clinicians and Managers Should Care) is a timely and thoughtful exploration of the controversial role of consumers in the U.S. healthcare system. In most markets today, consumers have more options and autonomy than ever before. Empowered consumers easily shop around for products and services that better meet their needs, and they widely share their reviews on social media to inform and influence other consumers. Businesses have responded with better experiences and prices to compete for consumers’ business. Though healthcare has lagged behind other industries in this respect, there is a rising tide of interest in consumer choice and empowerment in healthcare markets. However, most healthcare provider organizations, individual doctors, and health insurers are unprepared to consider patients as consumers. The authors draw upon the fields of medicine, marketing, management, psychology, and public policy as they take a substantive, in-depth look at consumer choice and point out its appropriate use, as well as its limitations. This book addresses perplexing issues, such as how healthcare differs from other consumer-driven markets, how consumers make healthcare decisions, and how increased consumer choice in healthcare can not only aid and empower American consumers but also improve the overall healthcare system.


2021 ◽  
Vol 12 ◽  
pp. 215013272199545
Author(s):  
Areej Khokhar ◽  
Aaron Spaulding ◽  
Zuhair Niazi ◽  
Sikander Ailawadhi ◽  
Rami Manochakian ◽  
...  

Importance: Social media is widely used by various segments of society. Its role as a tool of communication by the Public Health Departments in the U.S. remains unknown. Objective: To determine the impact of the COVID-19 pandemic on social media following of the Public Health Departments of the 50 States of the U.S. Design, Setting, and Participants: Data were collected by visiting the Public Health Department web page for each social media platform. State-level demographics were collected from the U.S. Census Bureau. The Center for Disease Control and Prevention was utilized to collect information regarding the Governance of each State’s Public Health Department. Health rankings were collected from “America’s Health Rankings” 2019 Annual report from the United Health Foundation. The U.S. News and World Report Education Rankings were utilized to provide information regarding the public education of each State. Exposure: Data were pulled on 3 separate dates: first on March 5th (baseline and pre-national emergency declaration (NED) for COVID-19), March 18th (week following NED), and March 25th (2 weeks after NED). In addition, a variable identifying the total change across platforms was also created. All data were collected at the State level. Main Outcome: Overall, the social media following of the state Public Health Departments was very low. There was a significant increase in the public interest in following the Public Health Departments during the early phase of the COVID-19 pandemic. Results: With the declaration of National Emergency, there was a 150% increase in overall public following of the State Public Health Departments in the U.S. The increase was most noted in the Midwest and South regions of the U.S. The overall following in the pandemic “hotspots,” such as New York, California, and Florida, was significantly lower. Interesting correlations were noted between various demographic variables, health, and education ranking of the States and the social media following of their Health Departments. Conclusion and Relevance: Social media following of Public Health Departments across all States of the U.S. was very low. Though, the social media following significantly increased during the early course of the COVID-19 pandemic, but it still remains low. Significant opportunity exists for Public Health Departments to improve social media use to engage the public better.


Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß

AbstractSocial media enable companies to assess consumers’ opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We focus on textual data and investigate which conversation topics arise during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The analysis via Natural Language Processing tools is conducted in two languages and four different countries, such that cultural differences in the tonality and customer needs can be identified for the product. Different methods of sentiment analysis and topic modeling are compared to identify the usability in social media and in the respective languages English and German. Furthermore, we illustrate the importance of preprocessing steps when applying these methods and identify relevant product insights.


2020 ◽  
Vol 31 (3) ◽  
pp. 313-343
Author(s):  
Aurora Garrido-Moreno ◽  
Víctor García-Morales ◽  
Stephen King ◽  
Nigel Lockett

PurposeAlthough Social Media use has become all-pervasive, previous research has failed to explain how to use Social Media tools strategically to create business value in today's increasingly digital landscapes. Adopting a dynamic capabilities perspective, this paper empirically examines the specific process through which Social Media use translates into better performance and the capabilities involved in this process.Design/methodology/approachA research model is proposed that includes both antecedents and consequences of Social Media use. Existing research was examined to derive the research hypotheses, which were tested using SEM methodology on a sample of 212 hotels.FindingsThe results show that Social Media use does not exert significant direct impact on organizational performance. Rather, the findings confirm the mediating role played by Social CRM and Customer Engagement capabilities in the value creation process.Practical implicationsThe results demonstrate how Social Media tools should be implemented and managed to generate business value in hotels. Implications yield interesting insights for hotel managersOriginality/valueThis study is a first attempt to analyze empirically the real impact of digital media technologies, particularly Social Media use, drawing on the dynamic capabilities perspective and focusing on service firms (hotels). Including the variable “Organizational Readiness” as a basic prerequisite to benefit from Social Media use enhances the study's novelty and contribution.


Author(s):  
G. Sue Kasun ◽  
Cinthya M. Saavedra

Young immigrant youth often live their lives across borders, either by physically crossing them for return visits and/or by metaphorically crossing them through social media and cultural identification. The authors argue these students are better understood as transnational, shifting the focus for educators away from imagining their immigrant students on a straight, one-way path to assimilation in the U.S. to understanding these youths’ abilities to cross borders. Specifically, they call for a redesignation of English Language Learners (ELLs) as Transnational English Learners (TELs). Highlighting examples of educators’ successful border-crossing work, the authors call for educators to cross borders as well in their curriculum and relationships with transnational youth.


2021 ◽  
Author(s):  
Qinglan Ding ◽  
Daisy Massey ◽  
Chenxi Huang ◽  
Connor Grady ◽  
Yuan Lu ◽  
...  

BACKGROUND Harnessing health-related data posted on social media in real-time has the potential to offer insights into how the pandemic impacts the mental health and general well-being of individuals and populations over time. OBJECTIVE The aim of this study was to obtain information on symptoms and medical conditions self-reported by non-Twitter social media users during the coronavirus disease 2019 (COVID-19) pandemic, and to determine how discussion of these symptoms and medical conditions on social media changed over time. METHODS We used natural language processing (NLP) algorithms to identify symptom and medical condition topics being discussed on social media between June 14 and December 13, 2020. The sample social media posts were geotagged by NetBase, a third-party data provider. We calculated the positive predictive value and sensitivity to validate the classification of the posts. We also assessed the frequency of different health-related discussions on social media over time during the study period, and compared the changes in the frequency of each symptom/medical condition discussion to the fluctuation of U.S. daily new COVID-19 cases during the study period. Additionally, we compared the trends of the 5 most commonly mentioned symptoms and medical conditions from June 14 to August 31 (when the U.S. passed 6 million COVID-19 cases) to the trends observed from September 1 to December 13, 2020. RESULTS Within a total of 9,807,813 posts (nearly 70% were sourced from the U.S.), we identified discussion of 120 symptom topics and 1,542 medical condition topics. Our classification of the health-related posts had a positive predictive value of over 80% and an average classification rate of 92% sensitivity. The 5 most commonly mentioned symptoms on social media during the study period were: anxiety (in 201,303 posts or 12.2% of the total posts mentioning symptoms), generalized pain (189,673, 11.5%), weight loss (95,793, 5.8%), fatigue (91,252, 5.5%), and coughing (86,235, 5.2%). The 5 most discussed medical conditions were: COVID-19 (in 5,420,276 posts or 66.4% of the total posts mentioning medical conditions), unspecified infectious disease (469,356, 5.8%), influenza (270,166, 3.3%), unspecified disorders of the central nervous system (253,407, 3.1%), and depression (151,752, 1.9%). The changes in the frequency of 2 medical conditions, COVID-19 and unspecified infectious disease, were similar to the fluctuation of daily new confirmed cases of COVID-19 in the U.S. CONCLUSIONS COVID-19 and symptoms of anxiety were the two most commonly discussed health-related topics on social media from June 14 to December 13, 2020. Real-time monitoring of social media posts on symptoms and medical conditions may help assess the population's mental health status and enhance public health surveillance for infectious disease.


Author(s):  
Caroline Heldman

This chapter examines the contemporary era of consumer activism in the U.S. that started in the mid-2000s with the advent of social media. Contemporary consumer activism is distinct in its ease of use, transnational focus, effectiveness, and popularity. Americans have become more politically active through the marketplace in the past decade, and this has altered the way companies do business. The chapter concludes that the current era of marketplace activism strengthens democracy through higher rates of participation in the marketplace for political ends.


Author(s):  
J. J. Sylvia IV ◽  
Kyle Moody

The issue of Russian interference in the 2016 U.S. Presidential election has been widely debated by scholars and journalists. However, these works have not fully analyzed the ads that have been released by Facebook and the U.S. Congress. This project uses a case study to analyze the ads posted by the Russian-affiliated Internet Research Agency, considering the quantities of ads targeted to particular geographic locations, the frequency of targeting for unique keywords, and the reach and impressions of each of the ads. Further, these results are compared to results from best practices in traditional social media campaigns as a way to better understand the goals and potential impacts of the IRA ads. In conclusion, the project, by analyzing the full set of IRA ads, sheds new light on the way false information narratives were leveraged by the Russian-linked IRA.


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