Technology Experience, Health Beliefs or Background? Examining the Factors Affecting the Intention to Use Social Media for Health Purposes

2020 ◽  
pp. 209-231
Author(s):  
Dennis Rosenberg ◽  
Rita Mano ◽  
Gustavo S. Mesch
Keyword(s):  
Social Media ◽  
Health Beliefs ◽  
Intention To Use ◽  
Factors Affecting ◽  
Technology Experience

scholarly journals Determinants of intention to use social media for health purposes among Jewish women in Israel: A cross-sectional study

2019 ◽  
Vol 8 (5) ◽  
pp. 10 ◽  
Author(s):  
Dennis Rosenberg ◽  
Rita Mano ◽  
Gustavo S Mesch
Keyword(s):  
Social Media ◽  
Health Beliefs ◽  
Health Belief ◽  
Cross Sectional Study ◽  
Intention To Use ◽  
Cross Sectional ◽  
Health Empowerment ◽  
Future Intention ◽  
Use Of Social Media ◽  
Belief Model

Women use the Internet more for health purposes than men, probably due to their gender socialization as caregivers. Indeed, women’s use of social media for health is not a one-time occurrence but is expected to continue for a long time to come. Hence, it is important to understand women’s future intention to use social media for health purposes. This study integrated health empowerment, health beliefs and digital inequality perspectives to explain this intention among Jewish female social media users (N = 94). The data were collected through a telephone survey. The results indicated that searching for health information on social media and cues to action are consistent predictors of women’s intention to use social media for health purposes. With the exception of marital status, no effect of socio-demographic variables was found. Health empowerment approach and health belief model are, therefore, the best predictors of future intention to use social media for health. Women should be encouraged by their communities to expand their experience with social media, since it may serve as a source of health empowerment. In addition, they must be encouraged to be more attentive to internal or external stimuli in maintaining or changing their health behavior.

scholarly journals The Intention to Use Mobile Student Portal: A Mobile Human Computer Interaction Study in a University Context in Egypt

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Ghada Refaat El Said
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
Intention To Use ◽  
Interaction Study ◽  
Factors Affecting ◽  
Content Sharing ◽  
Context Switching ◽  
Location Aware ◽  
Semistructured Interviews ◽  
Interactive Services

Mobile devices are increasingly being used as platforms for interactive services. However, factors affecting adoption of mobile services in some specific contexts, such as student portals, are still underresearched. This paper reports thematic analyses of semistructured interviews conducted with 52 undergraduate users of mobile student portal in a developing country. The results uncover design features affecting the use of mobile student portals, such as (1) Content Sharing, comprising an Integrative Design to share posts from the mobile portal to social media, (2) Personalized Content and Notification, for personalized notification based on student’s academic status, (3) Location-Aware notification, providing location-based updates, (4) User Control, allowing to choose content formats and details level, and (5) Context Switching and Interrupted Behavior, leading to the need for displaying content in small, meaningful chunks to help pick up after interruptions of messages and calls. The findings suggest design recommendations for mobile student portal, in specific.

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.

scholarly journals Factors Affecting Teaching English as a Second Language (TESL) Postgraduate Students’ Behavioural Intention for Online Learning during the COVID-19 Pandemic

2021 ◽  
Vol 13 (6) ◽  
pp. 3524
Author(s):  
Melor Md Yunus ◽  
Wee Shin Ang ◽  
Harwati Hashim
Keyword(s):  
Online Learning ◽  
Survey Design ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Postgraduate Students ◽  
Factors Affecting ◽  
Positive Effects ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

Online learning has become essential in education as the spread of coronavirus 19 (COVID-19) pandemic has brought significant changes to the field. However, education should remain welcoming and supportive to all the learners as it is important to keep the students’ behavioural intention in any form of learning environment. Thus, this study is significant as online learning is leading the trend of education now. Past studies revealed that the factors of performance expectancy, effort expectancy, social influence, and facilitating conditions under the unified theory of acceptance and use of technology (UTAUT) model affect learners’ behavioural intention to use online learning. This study intended to identify the most significant factors that influence TESL postgraduate students’ behavioural intention towards the use of online learning during the COVID-19 pandemic. It also examined the relationship amongst the four factors and postgraduate students’ behavioural intention to use online learning. The participants consisted of 169 postgraduate students at a public university in Malaysia. To achieve the aim, the study utilized a survey design using a questionnaire. The results from regression analysis revealed that all of the factors have positive effects on postgraduate students’ behavioural intention to use online learning. Meanwhile, performance expectancy has the greatest influence on postgraduate students’ behavioural intention. Hence, this study concludes that the practicality and the usefulness of online learning should be highlighted by the authorities.

An Experimental Study of Spammer Detection on Chinese Microblogs

2020 ◽  
Vol 30 (11n12) ◽  
pp. 1759-1777
Author(s):  
Jialing Liang ◽  
Peiquan Jin ◽  
Lin Mu ◽  
Jie Zhao
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
User Behavior ◽  
Real Data ◽  
User Profile ◽  
Data Set ◽  
Sina Weibo ◽  
Factors Affecting ◽  
The Government ◽  
Hot Event

With the development of Web 2.0, social media such as Twitter and Sina Weibo have become an essential platform for disseminating hot events. Simultaneously, due to the free policy of microblogging services, users can post user-generated content freely on microblogging platforms. Accordingly, more and more hot events on microblogging platforms have been labeled as spammers. Spammers will not only hurt the healthy development of social media but also introduce many economic and social problems. Therefore, the government and enterprises must distinguish whether a hot event on microblogging platforms is a spammer or is a naturally-developing event. In this paper, we focus on the hot event list on Sina Weibo and collect the relevant microblogs of each hot event to study the detecting methods of spammers. Notably, we develop an integral feature set consisting of user profile, user behavior, and user relationships to reflect various factors affecting the detection of spammers. Then, we employ typical machine learning methods to conduct extensive experiments on detecting spammers. We use a real data set crawled from the most prominent Chinese microblogging platform, Sina Weibo, and evaluate the performance of 10 machine learning models with five sampling methods. The results in terms of various metrics show that the Random Forest model and the over-sampling method achieve the best accuracy in detecting spammers and non-spammers.

scholarly journals Intention to use m-banking application: an empirical study in Ho Chi Minh City

2021 ◽  
Vol 12 (2) ◽  
pp. 637-653
Author(s):  
Phuong Viet Le-Hoang
Keyword(s):  
Factor Analysis ◽  
Multiple Regression Model ◽  
Perceived Usefulness ◽  
Influential Factor ◽  
Ho Chi Minh City ◽  
Intention To Use ◽  
Mobile Banking ◽  
Factors Affecting ◽  
Expected Performance ◽  
Insight Into

The research aims to explore, measure, and analyze factors affecting the intention to use Mobile Banking (M-Banking) of customers in Ho Chi Minh City. The author conducts a convenient sampling, including 600 participants. The method of the research is the Exploratory Factor Analysis (EFA) and a multiple regression model. The results show that there are six factors such as perceived ease to use (EU), perceived usefulness (PU), trust (TR), expected performance (PE), social influence (SI), Facilitating condition (FC) affect the adoption of M-Banking. In which, Facilitating condition is the most influential factor, and expected performance is the least influential factor. Also, this study proposes some recommendations to develop an M-Banking application to help customers gain more insight into the bank as well as actively select the M-Banking application as a reliable transaction method.

Sign in / Sign up

Export Citation Format

Share Document