Association of demographics, motives and intensity of using Social Networking Sites with the formation of bonding and bridging social capital in Pakistan

Ahmad, Saeed; Mustafa, Mudasir; Ullah, Ahsan

doi:10.1016/j.chb.2015.12.027

Cited by 61 publications

(56 citation statements)

References 39 publications

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“…Similarly, according to Andreassen and Pallesen (2014), individual characteristics are the factors that are important in use of social media environments and for the consequences of use of social media environments. Thus, gender, age, educational level, variables of technology use competencies, and FoMO are the determiners composing the motivation to use social media environments (Ahmad, Mustafa, and Ullah, 2016; Błachnio, Przepiorka, and Pantic, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…In the research in which demographic features related to the use of social media environments are reviewed, variables like gender, age, and educational level are frequently handled. Thus, demographic features are a determiner role of many variables, which generate the motivation to use social media environments, like happiness, self‐respect, academic success, and FoMO (Ahmad, Mustafa, and Ullah, 2016; Błachnio, Przepiorka, and Pantic, 2016). On the other hand, according to Andreassen and Pallesen (2014), individual characteristics are important factors that are effective on the use of social media environments and on the consequences of the use of social media environments.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…Access to social media environments, particularly through mobile technologies, became easier. In the previous studies, use of social media environments was basically related to sociodemographic factors like gender, age, income, educational level, and ethnic origin (Ahmad, Mustafa, and Ullah, 2016; Haight, Quan‐Haase, and Corbett, 2014; Kim, 2019). Therefore, individual use of digital technologies can be said to be related to sociodemographic profiles.…”

mentioning

confidence: 99%

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Antecedents of Social Media Usage Status: Examination of Predictiveness of Digital Literacy, Academic Performance, and Fear of Missing Out Variables

Durak

Seferoğlu

2020

Social Science Quarterly

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Objective. The aim of this study is to examine predictiveness of digital literacy, academic performance, and fear of missing out (FoMO) variables on social media usage (SMU) status. Methods. This relational study was conducted with participation of 1,284 students. For collection of the data a self-description form and also four other different data collection instruments were utilized. Data were analyzed through descriptive statistics and linear multiple hierarchical regressions analysis. Results. At the end of the study, demographic variables were observed to be the most important predictor of SMU experiences. The consequence was reached that digital literacy was the most important variable, which predicted SMU frequencies and use of social media environments with purposes of social interaction, communication, and education. Additionally, FoMO is important in terms of explaining the number of friends/followers in social media environments, and students' use and usage attitudes of social media environments for the purposes of knowing and being known. Conclusion. In this study, the relationship among the age variable and SMU frequencies and use of social media environments for the purpose of knowing and to be known and for the purpose of education came out to be in a negative direction. In line with these consequences, some practical suggestions can be made on SMU patterns.

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Section: Discussionmentioning

confidence: 99%

Section: Conceptual Frameworkmentioning

confidence: 99%

mentioning

confidence: 99%

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Antecedents of Social Media Usage Status: Examination of Predictiveness of Digital Literacy, Academic Performance, and Fear of Missing Out Variables

Durak

Seferoğlu

2020

Social Science Quarterly

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“…En relación al capital social, se ha probado que se encuentra positivamente relacionado con el uso de entornos online (Zhang, 2014). La intensidad en el uso de la red social, la duración de su uso y los motivos de uso se vinculan con la formación de capital social bonding y bridging, la autoestima y gratificaciones con la vida universitaria son antecedentes del capital social bonding (Ahmad, Mustafa and Ullah, 2016). Todo lo expuesto nos lleva a proponer la siguiente hipótesis: H1: La naturaleza genérica o específica del Twitter modera la adopción de la plataforma de e-Learning…”

Section: El Capital Social En La Educación Universitaria Onlineunclassified

Twitter, capital social y adopción de e-servicios

Molina¹,

Moreno

2017

Sociotecno

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Resumen: Una vez establecida la relevancia que el uso de los social media pueden presentar en los entornos virtuales de aprendizaje, el presente trabajo profundiza en el análisis del impacto que Twitter puede tener a través de la configuración que permiten de las interacciones sociales. Para ello, el presente trabajo analiza el papel moderador que presenta el uso de Twitter en la adopción de una plataforma de e-Learning, distinguiendo en si la configuración de este se puede vincular con el desarrollo de capital social bonding o bridging. Los resultados alcanzados nos permiten establecer que Twitter modera la relación entre el único antecedente significativo de la intención de uso y del uso efectivo, la expectativa de esfuerzo. Asimismo, no permiten establecer que exista una diferencia significativa en el funcionamiento del modelo en función de emplear un Twitter genérico o un Twitter específico vinculado con la temática del curso.Palabras clave: Medios sociales, UTAUT, eLearning, Twitter, capital social. Abstract:Once established the relevance that the use of social media can be presented in virtual learning environments, the present work deep in the analysis of the impact that Twitter can have through the configuration that allows social interactions. To this end, the present work analyzes the moderating role of the use of Twitter in the adoption of an e-Learning platform, distinguishing in itself the configuration of this can link with the development of social capital that links or bridges. The results achieved in the establishment of Twitter moderates the relationship between the only significant antecedent of the intention to use and the effective use, the expectation of effort. Similarly, there is no difference between the meaning of the difference in the model's functioning and the employment function on Twitter.

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“…Previous studies have identified that motives of using social network sites are positively associated with social capital (e.g., Ahmad, et al, 2016). This present study further investigated the issue about motivation on online help-seeking from two types of social capitals and addressed the third research question as follows.…”

Section: Amount Of Social Capital and Motivations On Online Help-seekingmentioning

confidence: 99%

Student teachers’ social capitals and motivations on online help-seeking

Liu

2016

ASSRJ

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Requesting help online is a quick way to obtain information to solve practicum-related problems for student teachers because they often serve a poor mentoring quality. The success in acquiring useful information by online help-seeking depends on subjects who are sought and their relationships with seekers. This study investigated the frequency of online help-seeking from two types of social capitals for student teachers in need of suggestions for practicum-related problems and determined the relationships among the amount of social capitals for, perceived benefits of, and motivations on, online help-seeking. A total of 246 Taiwanese secondary student teachers were invited to complete a survey in December 2015. This study concluded that the student teachers sought helps from bonding social capital more than from bridging social capital (BrSC) when meeting practicum-related problems; however, when they have high frequency of help-seeking from BrSC, they could maintain higher amount of BrSC and perceived higher benefits of help-seeking than those with low frequency. Additionally, the perceived benefits of online help-seeking were associated to the motivations of online help-seeking. If student teachers perceive high benefits of online help-seeking, especially from BrSC, they would be willing to seek help online.

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Association of demographics, motives and intensity of using Social Networking Sites with the formation of bonding and bridging social capital in Pakistan

Cited by 61 publications

References 39 publications

Antecedents of Social Media Usage Status: Examination of Predictiveness of Digital Literacy, Academic Performance, and Fear of Missing Out Variables

Antecedents of Social Media Usage Status: Examination of Predictiveness of Digital Literacy, Academic Performance, and Fear of Missing Out Variables

Twitter, capital social y adopción de e-servicios

Student teachers’ social capitals and motivations on online help-seeking

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