scholarly journals Predicting the Adoption of Social Media: An Integrated Model and Empirical Study on Facebook Usage

10.28945/4106 ◽  
2018 ◽  
Vol 13 ◽  
pp. 233-258 ◽  
Author(s):  
Ahmed Al-Azawei
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Media ◽  
Individual Differences ◽  
Future Research ◽  
Research Model ◽  
Support Theory ◽  
Perceived Playfulness ◽  
Proposed Model ◽  
Facebook Use

Aim/Purpose: This study aims at (1) extending an existing theoretical framework to gain a deeper understanding of the technology acceptance process, notably of the Facebook social network in an unexplored Middle East context, (2) investigating the influence of social support theory on Facebook adoption outside the work context, (3) validating the effectiveness of the proposed research model for enhancing Facebook adoption, and (4) determining the effect of individual differences (gender, age, experience, and educational level) amongst Facebook users on the associated path between the proposed model constructs. Background: Social networking sites (SNSs) are widely adopted to facilitate social interaction in the Web-based medium. As such, this present work contends that there is a gap in the existing literature, particularly in the Middle East context, as regards an empirical investigation of the relationship between the social, psychological, individual, and cognitive constructs potentially affecting users’ intention to accept SNSs. The present research, therefore, attempts to address this deficit. The relevance of this work is also considered in light of the scarcity of empirical evidence and lack of detailed research on the effect of social support theory with regard to SNS adoption in a non-work context. Methodology: A quantitative research approach was adopted for this study. The corresponding analysis was carried out based on structural equation modelling (SEM), more specifically, partial least squares (PLS), using SmartPLS software. Earlier research recommended the PLS approach for exploratory studies when extending an existing model or developing a new theory. PLS is also a superior method of complex causal modelling. Moreover, a multi-group analysis technique was adopted to investigate the moderating influence of individual differences. This method divides the dataset into two groups and then computes the cause and effect relationships between the research model variables for each set. The analysis of an in-person survey with a sample of Facebook users (N=369) subsequently suggested four significant predictors of continuous Facebook use. Contribution: This study contributes to the body of knowledge relating to SNSs by providing empirical evidence of constructs that influence Facebook acceptance in the case of a developing country. It raises awareness of antecedents of Facebook acceptance at a time when SNSs are widely used in Arab nations and worldwide. It also contributes to previous literature on the effectiveness of the unified theory of acceptance and use of technology (UTAUT) in different cultural contexts. Another significant contribution of this study is that it has reported on the relevance of social support theory to Facebook adoption, with this theory demonstrating a significant and direct ability to predict Facebook acceptance. Finally, the present research identified the significant moderating effect of individual differences on the associated path between the proposed model constructs. This means that regardless of technological development, individual gaps still appeared to exist among users. Findings: The findings suggested four significant predictors of continuous Facebook use, namely, (a) performance expectancy, (b) peer support, (c) family support, and (d) perceived playfulness. Furthermore, behavioral intention and facilitating conditions were found to be significant determinants of actual Facebook use, while individual differences were shown to moderate the path strength between several variables in the proposed research model. Recommendations for Practitioners: The results of the present study make practical contributions to SNS organizations. For example, this research revealed that users do not adopt Facebook because of its usefulness alone; instead, users’ acceptance is developed through a sequence of variables such as individual differences, psychological factors, and social and organizational beliefs. Accordingly, social media organizations should not consider only strategies that apply to just one context, but also to other contexts characterized by different beliefs, perceptions, and cultures. Moreover, the evidence provided here is that social support theory has a significant influence on SNSs acceptance. This suggests that social media organizations should provide services to support this concept. Furthermore, the significant positive effect of perceived playfulness on the intention to use SNSs implied that designers and organizations should pay further attention to the entertainment services provided by social networks. Recommendation for Researchers: To validate the proposed conceptual framework, researchers from different countries and cultures are invited to apply the model. Moreover, a longitudinal research design could be implemented to gather data over a longer period, in order to investigate whether users have changed their attitudes, beliefs, perceptions, and intention by the end of the study period. Other constructs, such as individual experience, compatibility, and quality of working life could be included to improve the power of the proposed model. Impact on Society: Middle Eastern Facebook users regard the network as an important tool for interacting with others. The increasing number of Facebook users renders it a tool of universal communication and enjoyment, as well as a marketing network. However, knowledge of the constructs affecting the application of SNSs is valuable for ensuring that such sites have the various functions required to suit different types of user. Future Research: It is hoped that our future research will build on the results of this work and attempt to provide further explanation of why users accept SNSs. In this future research, the proposed research model could be adopted to explore SNSs acceptance in other developing countries. Researchers might also include other factors of potential influence on SNSs acceptance. The constructs influencing acceptance of other social networks could then be compared to the present research findings and thus, the differences and similarities would be highlighted.

Sensation seeking, media multitasking, and social Facebook use

2021 ◽  
Vol 49 (1) ◽  
pp. 1-7
Author(s):  
Gunwoo Yoon ◽  
Brittany R. L. Duff ◽  
Matthew P. Bunker
Keyword(s):  
Social Media ◽  
Individual Differences ◽  
Sensation Seeking ◽  
Large Scale ◽  
Future Research ◽  
Media Multitasking ◽  
Online Study ◽  
Facebook Use ◽  
Use Of Social Media

While media multitasking is an emerging issue, little is known about the underlying motivations of this behavior. We ran a large-scale online study with 351 Facebook users to examine people who multitask when using social media, and why they multitask. We found that the motivation to use Facebook for social reasons significantly predicted increased media multitasking. Moreover, this connection was mediated by individual differences in sensation seeking. These findings contribute to understanding of multitasking behavior and its relationship with the use of social media. Implications and directions for future research are discussed.

scholarly journals Self-rated health among undocumented and newly regularized migrants in Geneva: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Julien Fakhoury ◽  
Claudine Burton-Jeangros ◽  
Idris Guessous ◽  
Liala Consoli ◽  
Aline Duvoisin ◽  
...  
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Cross Sectional Study ◽  
Future Research ◽  
Undocumented Migrants ◽  
Long Term Effects ◽  
Residence Permit ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Self Rated Health

Abstract Background In Europe, knowledge about the social determinants of health among undocumented migrants is scarce. The canton of Geneva, Switzerland, implemented in 2017–2018 a pilot public policy aiming at regularizing undocumented migrants. We sought to test for associations between self-rated health, proven eligibility for residence status regularization and social and economic integration. Methods This paper reports data from the first wave of the Parchemins Study, a prospective study whose aim is to investigate the effect of residence status regularization on undocumented migrants’ living conditions and health. The convenience sample included undocumented migrants living in Geneva for at least 3 years. We categorized them into those who were in the process of receiving or had just been granted a residence permit (eligible or newly regularized) and those who had not applied or were ineligible for regularization (undocumented). We conducted multivariate regression analyses to determine factors associated with better self-rated health, i.e., with excellent/very good vs. good/fair/poor self-rated health. Among these factors, measures of integration, social support and economic resources were included. Results Of the 437 participants, 202 (46%) belonged to the eligible or newly regularized group. This group reported better health more frequently than the undocumented group (44.6% versus 28.9%, p-value < .001), but the association was no longer significant after adjustment for social support and economic factors (odds ratio (OR): 1.12; 95% confidence interval (CI): 0.67–1.87). Overall, better health was associated with larger social networks (OR: 1.66; 95% CI: 1.04–2.64). This association remained significant even after adjusting for health-related variables. Conclusion At the onset of the regularization program, access to regularization was not associated with better self-rated health. Policies aiming at favouring undocumented migrants’ inclusion and engagement in social networks may promote better health. Future research should investigate long-term effects of residence status regularization on self-rated health.

Play It Like Beckham!

2017 ◽  
pp. 43-61
Author(s):  
Sylvaine Castellano ◽  
Insaf Khelladi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Academic Research ◽  
Future Research ◽  
The Internet ◽  
Research Directions ◽  
Media Usage ◽  
Future Research Directions ◽  
The Impact

New opportunities and challenges are emerging thanks to the growing Internet importance and social media usage. Although practitioners have already recognized the strategic dimension of e-reputation and the power of social media, academic research is still in its infancy when it comes to e-reputation determinants in a social networks context. A study was conducted in the sports setting to explore the impact of social networks on the sportspeople's e-reputation. Whereas the study emphasized (1) the influence of social networks' perception on the sportspeople's e-reputation, and the neutral roles of (2) the motives for following sportspeople online, and (3) the negative content on the Internet, additional insights are formulated on maintaining, restoring and managing e-reputation on social networks. Finally, future research directions are suggested on the role of image to control e-reputation.

scholarly journals Human Sentiment and Activity Recognition in Disaster Situations Using Social Media Images Based on Deep Learning

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7115
Author(s):  
Amin Muhammad Sadiq ◽  
Huynsik Ahn ◽  
Young Bok Choi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Large Scale ◽  
Activity Analysis ◽  
Physical Activities ◽  
Future Research ◽  
Crowd Sourcing ◽  
Emergency Relief ◽  
The Public ◽  
Text Streams

A rapidly increasing growth of social networks and the propensity of users to communicate their physical activities, thoughts, expressions, and viewpoints in text, visual, and audio material have opened up new possibilities and opportunities in sentiment and activity analysis. Although sentiment and activity analysis of text streams has been extensively studied in the literature, it is relatively recent yet challenging to evaluate sentiment and physical activities together from visuals such as photographs and videos. This paper emphasizes human sentiment in a socially crucial field, namely social media disaster/catastrophe analysis, with associated physical activity analysis. We suggest multi-tagging sentiment and associated activity analyzer fused with a a deep human count tracker, a pragmatic technique for multiple object tracking, and count in occluded circumstances with a reduced number of identity switches in disaster-related videos and images. A crowd-sourcing study has been conducted to analyze and annotate human activity and sentiments towards natural disasters and related images in social networks. The crowdsourcing study outcome into a large-scale benchmark dataset with three annotations sets each resolves distinct tasks. The presented analysis and dataset will anchor a baseline for future research in the domain. We believe that the proposed system will contribute to more viable communities by benefiting different stakeholders, such as news broadcasters, emergency relief organizations, and the public in general.

scholarly journals GRANDPARENT CAREGIVERS: THE RELATION BETWEEN SOCIAL NETWORKS AND RESILIENCE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S678-S679
Author(s):  
Nancy Mendoza ◽  
Christine Fruhauf
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Future Research ◽  
Grandparents Raising Grandchildren ◽  
Face To Face ◽  
Grandparent Caregivers ◽  
New Information ◽  
Multiple Challenges ◽  
Using Data

Abstract Grandparents raising grandchildren experience multiple challenges as they take on the unexpected role of caring for their grandchildren, which usually occurs under stressful and stigmatizing conditions. Many of the challenges grandparents experience are well documented in the research. Less attention is given to understanding how a grandparent caregiver’s social network changes when s/he becomes a caregiver and how her/his social network influences resilience. Thus, the purpose of this study was to use social network analysis (SNA) to examine the relation between social networks and resilience in grandparents raising their grandchildren. This was done by conducting face-to-face interviews with twenty grandparents raising grandchildren after they completed a survey measuring social support, social isolation, and resilience. The interview protocol included questions related to participants’ social network, social support, and services. Prior to the interviews, using data from the surveys participants were identified as representing one of four resilience quadrants: resilient, maladaptive, competent, and vulnerable. Qualitative analysis of grandparent’s social networks across groups indicated resilient grandparent caregivers’ networks were structured in a way that provided more opportunities for the inflow of new information and resources. Whereas the proportion of professionals in maladaptive grandparent caregivers’ networks tended to be less than for other networks. This could suggest that for grandparent caregivers, having professionals in one’s network can be beneficial. Findings from the current study provide opportunities for future research such as identifying ways to help grandparent caregivers structure their social networks to promote resilience.

scholarly journals The Absence of Close Social Network Connections: A Case Study Investigation in Social Isolation

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 170-170
Author(s):  
Raeann LeBlanc ◽  
Rachel Walker
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Social Isolation ◽  
Network Effects ◽  
Female Gender ◽  
Older Age ◽  
Future Research ◽  
Social Connection ◽  
Multiple Data

Abstract Social isolation is an emerging phenomenon known to significantly influence health outcomes and carries specific risk in older age. As part of a larger study exploring the social network effects on health among persons age 65 and above, it was found that four cases from a larger sample (n=89) could not name any one from their social relationships supportive to them in managing their health while living with complex chronic health needs. In addressing these findings, these cases, bounded spatially by individual social networks and temporally by the time of the study interview, served the basis for intensive analysis using multiple data points from in-depth interviews and survey measures. Measures included descriptive data (social networks, demographics) and measures of health (SF-12), and social support (MOS-SSS). Each participant case identified as female gender and single, three lived alone, had a high burden of chronic conditions and poor health. All had recent hospitalizations (1 or more within the past year). The structures of their social networks varied in type of relationship roles and size. Social support was perceived overall as low. This study offers a specific contribution to research on social connection/isolation. This phenomenon is relative to specific contexts. Findings emphasize that social isolation can be specific to certain aspects of identity and poorer health in older age. Additional research on the functions and qualities of social networks, in addition to the structure, are important to specify in future research and knowledge development for practice assessment to determine social connection and isolation.

scholarly journals Ethnic Identity and Acculturation Orientation of Chinese Yi Villagers in the Context of Social Media

2021 ◽  
Vol 8 (4) ◽  
pp. 109
Author(s):  
Yuan Shuangyun
Keyword(s):  
Social Support ◽  
Social Media ◽  
Ethnic Identity ◽  
Individual Differences ◽  
Positive Impact ◽  
Widespread Application ◽  
Acculturation Orientation ◽  
The Individual ◽  
The Relationship ◽  
Predictive Effect

In the information age, the widespread application of social media will impact the ethnic identity and acculturation of ethnic minority individuals. In this study, 522 Yi people from different Yi branches were selected to investigate the relationship between their ethnic identity and acculturation orientation and the role of social media and social support. The results showed that :(1) the acculturation patterns of Yi villagers were mainly integrated, and experienced from separation to integration, then assimilation and marginalization after mixed; (2) The individual differences of acculturation orientation were significant, but the individual differences of ethnic identity were not; (3) Ethnic identity had a positive impact on original acculturation attitude but had no significant effect on mainstream acculturation attitude; (4) Social media had a negative predictive effect on the original acculturation attitude, a positive predictive effect on the mainstream acculturation attitude, and a negative moderating effect on the relationship between ethnic identity and original acculturation attitude; (5) Social support has a positive predictive effect on both acculturation attitudes. Therefore, the government and relevant departments should strengthen social media's popularization in pure Yi areas, enhance social support in mixed areas, and improve education and economic development to improve the acculturation of the Yi villagers effectively.

Supporting Crisis Management via Detection of Sub-Events in Social Networks

2013 ◽  
Vol 5 (3) ◽  
pp. 20-36 ◽  
Author(s):  
Daniela Pohl ◽  
Abdelhamid Bouchachia ◽  
Hermann Hellwagner
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Emergency Management ◽  
Crisis Management ◽  
Event Detection ◽  
User Generated Content ◽  
Future Research ◽  
Data Sets ◽  
Clustering Techniques ◽  
Valuable Source

Social networks provide the opportunity to gather and share knowledge about a situation of relevance. User-generated content is getting increasingly important during crisis management. It facilitates the collaboration with citizens or involved parties from the very beginning of the crisis. The information captured in the form of images, text or videos is a valuable source of identifying sub-events of a crisis. In this study, the authors use metadata of images and videos collected from Flickr and YouTube to extract crisis sub-events. The authors investigate the suitability of clustering techniques to detect sub-events. In particular two algorithms are evaluated on several data sets related to crisis situations. The results show the high potential of the proposed approach. In addition, the authors validate the idea of sub-event detection for the authors’ future research based on a survey conducted among practitioners. Their responses show the potential of using social media in combination with sub-event detection during emergency management.

A Panel Study on the Effects of Social Media Use and Internet Connectedness on Academic Performance and Social Support

2018 ◽  
pp. 778-793
Author(s):  
Louis Leung
Keyword(s):  
Social Support ◽  
Social Media ◽  
Academic Performance ◽  
Perceived Social Support ◽  
Media Use ◽  
Panel Study ◽  
Social Media Use ◽  
Individual Level ◽  
Level Change ◽  
Facebook Use

Using a longitudinal panel study approach, this research examined the effects of social media use and internet connectedness on academic performance and on perceived social support. Results showed that, after controlling demographics and overall grades at Time 1, individual-level change in overall grades over the year that followed was attributable to Facebook, blogs, and online game use but not to internet connectedness. Results suggest that heavy Facebook use has a positive effect on overall grades, while heavy use of blogs and online games leads to grade impairment. In the case of academic competence and perceived social support, individual-level change over the year that followed was only attributable to Facebook use. Implications, limitations, and directions for future research are discussed.

Learning Agility, Resilience, and Successful Derailment

2021 ◽  
pp. 301-324
Author(s):  
Paul R. Yost ◽  
CodieAnn DeHaas ◽  
Mackenzie Allison
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Future Research ◽  
Short Term ◽  
Learning Agility ◽  
Problem Framing ◽  
Resilience Capacity

“Learning Agility, Resilience, and Successful Derailment” discusses the practices that individuals and organizations can adopt to increase their short-term resilience in crisis, their long-term resilience capacity, and their ability to successfully navigate derailment. Short-term resilience practices include problem framing and identification, building a fence to focus energy, managing emotions, drawing on social networks, and promoting healthy practices. Long-term resilience strategies include envisioning possible futures, practicing bricolage, cue and reinforcer management, deepening social support, and reflection. Last, strategies to successfully navigate derailment are reviewed, including the key practices and lessons that allow a leader to grow from the experience. Throughout, the relationships between learning agility, resilience, and derailment are examined, including promising directions for future research.

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