scholarly journals An Empirical Study of the Relationship Between Social Networking Sites and Students’ Engagement in Higher Education

2018 ◽  
Vol 57 (5) ◽  
pp. 1131-1159 ◽  
Author(s):  
Felix N. Koranteng ◽  
Isaac Wiafe ◽  
Eric Kuada
Keyword(s):  
Higher Education ◽  
Social Networking ◽  
Knowledge Sharing ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Social Capital Theory ◽  
Social Networking Site ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling

This article investigates how students’ online social networking relationships affect knowledge sharing and how the intensity of knowledge sharing enhances students’ engagement. It adopts the social capital theory as the basis for investigation, and the partial least square structural equation modeling was used to examine the hypothesized model. Responses from 586 students in higher education were analyzed. The findings provided empirical evidence which contradicts the argument that students perceive social networking sites as an effective tool for learning. Also, contrary to previous studies which posit that knowledge sharing impacts engagement, it was observed that there is no relationship between the two. However, as social networking sites differ in terms of member behavior norms, it is envisaged that if a similar study is conducted and limited to a specific academically inclined social networking site such as Academia.edu, ResearchGate, Mendeley, and so on, different findings may be observed.

scholarly journals Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective

2018 ◽  
Author(s):  
Aseda Mensah ◽  
George Oppong Appiagyei Ampong ◽  
Adolph Sedem Yaw Adu ◽  
John Agyekum Addae ◽  
Osaretin Kayode Omoregie ◽  
...  
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Perceived Control ◽  
Structural Equation ◽  
Personal Information ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Self Disclosure

Social media and other web 2.0 tools have provided users the platform to interact and also disclose personal information not only with their friends and acquaintances, but also with relative strangers with unprecedented ease. This has enhanced the ability of people to share more about themselves, their families, and their friends through a variety of media including text, photo, and video, thus developing and sustaining social and business relationships. The purpose of the paper is to identify the factors that predict self-disclosure on social networking sites within the Ghanaian context. Data was collected from 452 students in three leading universities in Ghana and analyzed with Partial Least Square-Structural Equation Modeling. Results from the study revealed that all variables in the proposed model with the exception of interaction and perceived control were significant predictors of self-disclosure with privacy risk being the most significant predictor. In all, the model accounted for 54.6 percent of the variance in self disclosure. The implications and limitations of the current study are discussed and directions for future research proposed.

scholarly journals Muslim academics’ knowledge sharing in Malaysian higher learning institutions

2019 ◽  
Vol 10 (2) ◽  
pp. 378-393 ◽  
Author(s):  
Muhammad Ashraf Fauzi ◽  
Christine Tan Nya-Ling ◽  
Ramayah Thurasamy ◽  
Adedapo Oluwaseyi Ojo ◽  
Ibrahim Shogar
Keyword(s):  
Knowledge Sharing ◽  
Trust Management ◽  
Structural Equation ◽  
Social Capital Theory ◽  
Partial Least Square ◽  
Higher Learning ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Learning Institutions

Purpose The purpose of this paper is to investigate Muslim academics’ knowledge sharing (KS) behavior and its relating predictors in the context of Malaysia. Academics being the center entity of education in higher learning institutions (HLI) has the noble obligation in spreading and sharing knowledge. Moreover, in Islamic teaching, academics having knowledge must let others know that knowledge can be beneficial in everyday life. Design/methodology/approach The underpinning theories used in this study are theory of planned behavior (TPB) and social capital theory (SCT) for assessing the probable factors that can determine academics’ KS behavior. This study evaluates 398 Muslim academics in Malaysia for KS behavior in 20 public and 5 private HLIs. Structural equation modeling–partial least square was used as the tool for data analysis. Findings It was found that all the variables tested in this study were significant, except for commitment. Social network, trust, management support, facilitating conditions and social media are significant predictors in Muslim academics’ KS behavior. Research limitations/implications The findings would enable HLIs to inculcate and enhance KS among academics in terms of theoretical and managerial perspectives. Originality/value This study integrates TPB, SCT and other individual, organizational and technological factors for assessing Muslim academics in Malaysia. Thus, generalization on Muslim academics can be attained in South Asian countries.

scholarly journals An Investigation on the Use by Academic Researchers of Knowledge from Scientific Social Networking Sites

2020 ◽  
Author(s):  
Vincenzo Corvello ◽  
Mariacristina Chimenti ◽  
Carlo Giglio ◽  
Saverino Verteramo
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Positive Impact ◽  
Work Practice ◽  
Social Networking Site ◽  
Equation Modeling ◽  
Academic Researchers ◽  
Use Of Knowledge ◽  
The Impact

Scientific social networking sites like Researchgate or Academia.edu have become part of the work practice of academic researchers. These digital platforms have been designed precisely to encourage the exchange of knowledge between scholars and to help the expansion of collaborative networks among them. Even if studies on this topic have multiplied in recent years, there is a dearth of research on the actual impact of these platforms on scientific production. The goal of this study is to investigate the relation between the attitude of researchers towards scientific social networks and the use of knowledge in their scientific work. Data from users of the scientific social networking site Researchgate were collected. A total of 143 valid responses were received and structural equation modeling was applied for data analysis. Findings of this study confirmed that researchers use knowledge obtained from scientific social networking sites both incorporating it within their research products and to acquire new competences. In particular approaching the platform as a scientific community with a shared language and a shared vision was found to have a positive impact on knowledge use. To the best knowledge of the authors this is the first study investigating the actual use of knowledge from scientific social networking sites by academic researchers. Results help to understand the impact of these platforms on the work practice of a strategic sector like scientific research.

scholarly journals Examining the Predictors of Mobile Addiction: Some Insights from Malaysia

2018 ◽  
Vol 7 (4.38) ◽  
pp. 760
Author(s):  
Norazah Mohd Suki ◽  
Norbayah Mohd Suki
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Future Research ◽  
Research Model ◽  
Everyday Activity ◽  
Mobile Social Networking ◽  
Equation Modelling

This research aims to investigate the predictors of mobile addiction. The data was analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM) approach supported by Smart-PLS 2.0 to assess the hypothesis in the research model. The PLS-SEM technique revealed that there was a strong correlation between social networking sites (SNS) intensity and mobile addiction. Users have positively expressed that visiting SNS is part of their everyday activity as they tend to check their SNS almost every day. They have this perception that they will feel out of touch when they do not log into their SNS for a day. In addition, they feel as if they are part of the community of SNS on campus. Those with many SNS accounts have a strong tendency to install and use mobile social networking apps on their mobile phones to connect and communicate with others. These heavy users frequently use their mobile phone to log into their social network via preferred social networking apps and actively use it to check the SNS.  The direction for future research is also presented. 

Exploiting Intellectual Capital for Economic Renewal

2015 ◽  
Vol 7 (1) ◽  
pp. 13-26 ◽  
Author(s):  
Helena Santos-Rodrigues ◽  
Praveen Gupta ◽  
Robert Carlson
Keyword(s):  
Higher Education ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Education Institution ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Relational Capital ◽  
Direct Impact ◽  
The Relationship

This study proposes a model to analyze the relationship between leadership, intellectual capital (human, structural, and relational), and their contribution to economic renewal. The study contributes to the literature and higher education institution (HEI) management, by examining empirically and in greater depth, the antecedents and determinants of this problem. This study applies variance-based structural equation modeling, using partial least square on a sample of 195 academics from 52 countries. The results show that leadership has a positive and direct impact on human, structural, and relational capital, and that human capital has positive and direct impact on the structural and relational capital of the studied HEIs. Hence, we found that only the structural and relational capital of the HEIs have positive and direct impact on the contribution to economic renewal.

scholarly journals Pengaruh Kualitas Pelayanan dan Kualitas Pembelajaran Terhadap Kepuasan Mahasiswa Dengan Metode SEM-PLS

2019 ◽  
Vol 11 (1) ◽  
pp. 49
Author(s):  
Fransisca Debora ◽  
Hernadewita Hernadewita
Keyword(s):  
Higher Education ◽  
Service Quality ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
The Government ◽  
Asean Economic Community

The development of science and technology and the factors of the ASEAN economic community (MEA) which are supported by increasing industry 4.0, the government gives important responsibilities for universities to be able to produce human resources that can compete in that era. This affects universities to continue to improve in terms of the quality of learning, service quality, to provide satisfaction to students which has an influence on the productivity of higher education. In this regard, research was conducted on 120 samples of student respondents (active students, and alumni) who were used to provide information by distributing questionnaires processed by Structural Equation Modeling (SEM) - Partial Least Square (PLS). Based on the results of the analysis and discussion it can be concluded that service quality has a positive effect on student satisfaction and positively influences the productivity of higher education.

scholarly journals Link between social distancing, cognitive dissonance, and social networking site usage intensity: a country-level study during the COVID-19 outbreak

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tanusree Chakraborty ◽  
Anup Kumar ◽  
Parijat Upadhyay ◽  
Yogesh K. Dwivedi
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Cognitive Appraisal ◽  
Social Networking Site ◽  
Equation Modeling ◽  
Individual Response ◽  
Content Type ◽  
Social Distancing

PurposeSocial distancing is an important strategy to control the spread of the COVID-19 pandemic, so it is imperative to understand the behavioral impact of social distancing on individuals. This research studied social distancing from a cognitive appraisal of voluntary social distancing compliance (CAVSD) point of view and a non-medical perspective, specifically the psychological impact (PI) of social distancing on the usage intensity of social networking sites (SNS) during the COVID-19 outbreak in India.Design/methodology/approachThe study was conducted on 477 SNS users as a full sample and groups based on age, sex and work status. The model was empirically investigated using structural equation modeling.FindingsCAVSD was negatively associated with PI although it was not a significant predictor, while CAVSD and PI were significant predictors of SNS usage intensity; moreover, SNS usage intensity differed between groups of people.Practical implicationsThese findings are significant for organizations, corporations and educational institutions in both the public and private sectors. There is a need to identify subsections of individuals in need of social support and relief from isolation and loneliness. Individuals are relying on social media to handle social distancing and the pandemic, and this shows up in an increase in social networking activity.Originality/valueThis study contributes to the existing literature by positing social networking as a basic virtual need for socialization, and social media platform assists in that. Cognitive appraisal is an important determinant of individual response.

An Empirical Study on Geotagging Technology Adoption Among the Social Networking Sites (SNSs) Users: The Moderating Effect of Geotagg’s Use Frequency

2020 ◽  
Vol 19 (03) ◽  
pp. 2050018
Author(s):  
Md. Ziaul Haque ◽  
Aimin Qian ◽  
Muhammad Amin ◽  
Tania Islam
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Technology Use ◽  
Structural Equation ◽  
Service Providers ◽  
Personal Characteristics ◽  
Partial Least Square ◽  
Least Square ◽  
The Social ◽  
Effort Expectancy

Due to the outstanding growth of geotagging technology usage among the social networking sites (SNSs) users, research is needed to better understand how SNSs users accept and use this technology. This study explores the factors that affect the adoption of geotagging technology among the SNSs users integrating personal innovativeness in IT (PIIT) with UTAUT. By using structured questionnaire survey, 390 data were collected. Statistical analysis techniques, such as SPSS AMOS and partial least square method, based on structural equation modelling (SEM), were used to analyse the collected data. Integrated UTAUT fulfills all criterion of model fitness. Interestingly, PIIT properly explains the personal characteristics of SNSs users in UTAUT framework. PIIT has impact on all UTAUT exogenous constructs except effort expectancy as well as on behavioural intention. Two new paths among the predictor variables (e.g. facilitating condition to effort expectancy and effort expectancy to performance expectancy) are statistically significant. All constructs of UTAUT except effort expectancy have substantial positive effect on SNSs users’ intention to adopt geotagging technology. Geotagg’s use frequency strongly moderated the different relationships in the integrated UTAUT model. The study will succor different tourism firms, restaurants and SNSs service providers to maximise the adoption of geotagging technology use. It contributes to knowledge by adding new moderator, new paths as well as integrating personal characteristics (e.g. PIIT) in UTAUT.

scholarly journals An Investigation on the Use by Academic Researchers of Knowledge from Scientific Social Networking Sites

2020 ◽  
Vol 12 (22) ◽  
pp. 9732
Author(s):  
Vincenzo Corvello ◽  
Maria Cristina Chimenti ◽  
Carlo Giglio ◽  
Saverino Verteramo
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Positive Impact ◽  
Work Practice ◽  
Social Networking Site ◽  
Equation Modeling ◽  
Academic Researchers ◽  
Use Of Knowledge ◽  
The Impact

Scientific social networking sites like ResearchGate or Academia.edu have become part of the work practice of academic researchers. These digital platforms have been designed precisely to encourage the exchange of knowledge between scholars and to help the expansion of collaborative networks among them. Even if studies on this topic have multiplied in recent years, there is a dearth of research on the actual impact of these platforms on scientific production. The goal of this study is to investigate the relationship between the attitude of researchers towards scientific social networks and the use of knowledge in their scientific work. Data from users of the scientific social networking site ResearchGate were collected. A total of 143 valid responses were received and structural equation modeling was applied for data analysis. Findings of this study confirmed that researchers use knowledge obtained from scientific social networking sites both incorporating it within their research products and to acquire new competences. In particular approaching the platform as a scientific community with a shared language and a shared vision was found to have a positive impact on knowledge use. To the best knowledge of the authors this is the first study investigating the actual use of knowledge from scientific social networking sites by academic researchers. Results help us to understand the impact of these platforms on the work practice of a strategic sector like scientific research.

scholarly journals Do Brand Image and Brand Trust Mediate the Effect of Service Quality on Brand Loyalty? Lessons from Higher Education Sector

2021 ◽  
Vol 3 (2) ◽  
pp. 302-315
Author(s):  
Milcha Handayani Tammubua
Keyword(s):  
Higher Education ◽  
Service Quality ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Brand Image ◽  
Partial Least Square ◽  
Education Sector ◽  
Least Square ◽  
Equation Modeling ◽  
Brand Trust

This study analyzes the relationship between service quality on brand image, brand trust, and brand loyalty in the higher education sector. This study used a 4-point Likert scale questionnaire to collect the data from 185 students at the Distance Learning Program Unit Universitas Terbuka Jayapura registered in 2014-2018. It also employed the Structural Equation Modeling Partial Least Square (SEM-PLS) method to analyze the data with the help of SmartPLS 3 software. The results showed that service quality positively and significantly affected the brand image, brand trust, and brand loyalty. Brand trust has a positive and significant effect on brand loyalty, while the brand image has no significant effect on brand loyalty.  

Sign in / Sign up

Export Citation Format

Share Document