scholarly journals Factors affecting bridging social capital in on-line professional networks : an exploratory study of social capital formation on LinkedIn

2021 ◽  
Author(s):  
Natalia Gilewicz
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Online Social Network ◽  
Equation Modeling ◽  
Bonding Social Capital ◽  
Factors Affecting ◽  
Bridging Social Capital ◽  
On Line

This thesis investigates factors contributing to bridging social capital on LinkedIn. An online social network is one that allows users to make and share contacts by way of displaying their network (Boyd & Ellison, 2007). The intention of a network such as LinkedIn, is to create professional opportunities for its participants. Here, social capital is seen as the resource embedded within the social network, and as such is conceptualized as the benefit associated with online social network participation. Bridging social capital typically exists between weakly tied colleagues, It has been said to a superior type of social capital for 'getting ahead' (Putnam, 2000). Understanding how to create opportunities to increase bridging social capital in an online environment is useful to potentially overcoming barriers that exist offline. Using the partial least squares approach to structural equation modeling, the thesis analyzes data collected from an online survey (n:167) of LinkedIn members. Driven by theory, three constructs are conceptualized as contributing to the variance in bridging social capital. Ease of sue, browsing behaviours, and bonding social capital all have a positive relationship with bridging social capital, and together explain 53.8% of this variance. These findings are then extended to explore the broader design implications they have an online social network.

scholarly journals Factors affecting bridging social capital in on-line professional networks : an exploratory study of social capital formation on LinkedIn

2021 ◽  
Author(s):  
Natalia Gilewicz
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Online Social Network ◽  
Equation Modeling ◽  
Bonding Social Capital ◽  
Factors Affecting ◽  
Bridging Social Capital ◽  
On Line

This thesis investigates factors contributing to bridging social capital on LinkedIn. An online social network is one that allows users to make and share contacts by way of displaying their network (Boyd & Ellison, 2007). The intention of a network such as LinkedIn, is to create professional opportunities for its participants. Here, social capital is seen as the resource embedded within the social network, and as such is conceptualized as the benefit associated with online social network participation. Bridging social capital typically exists between weakly tied colleagues, It has been said to a superior type of social capital for 'getting ahead' (Putnam, 2000). Understanding how to create opportunities to increase bridging social capital in an online environment is useful to potentially overcoming barriers that exist offline. Using the partial least squares approach to structural equation modeling, the thesis analyzes data collected from an online survey (n:167) of LinkedIn members. Driven by theory, three constructs are conceptualized as contributing to the variance in bridging social capital. Ease of sue, browsing behaviours, and bonding social capital all have a positive relationship with bridging social capital, and together explain 53.8% of this variance. These findings are then extended to explore the broader design implications they have an online social network.

scholarly journals Factors Affecting Loyalty of Mobile Social Networks' Users

2017 ◽  
Vol 13 (1) ◽  
pp. 66-81 ◽  
Author(s):  
Nastaran Hajiheydari ◽  
Babak Hazaveh Hesar Maskan ◽  
Mahdi Ashkani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Mobile Social Networks ◽  
Mobile Social Network ◽  
Key Factors ◽  
Factors Affecting ◽  
Social Applications

Increasing world-wide trends of using mobile social networks and the rise of competition between different social applications makes it essential for social network providers and marketers to identify the key factors leading to user loyalty. The purpose of this paper is to identify the key factors that affect the loyalty of mobile social networks users. The proposed model was tested through structural equation modeling techniques and an online survey. The sample consisted of 388 mobile social networks users in Iran. The results indicate that sociability, entertainment and fashion are primary drivers of attitude toward a mobile social network. The results also show the significant role of attitude and satisfaction on consumer loyalty. This study helps both marketers and mobile social network providers know the key drivers of customer loyalty in order to tailor their marketing efforts and communication strategies.

scholarly journals Investigating the Key Factors Influencing the Use of Online Social Networks in Public Sector Context in the UAE

2019 ◽  
Vol 7 (3) ◽  
pp. 392-411
Author(s):  
Ali Amin ◽  
Hamad Almari ◽  
Osama Isaac ◽  
Fathey Mohammed
Keyword(s):  
Social Network ◽  
Public Sector ◽  
Online Social Networks ◽  
Structural Equation ◽  
Online Social Network ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Actual Usage ◽  
Use Of Technology ◽  
Public Sector Organizations

During the past decade, usage of online social network sites has grown dramatically rivaling search engines as the most visited Internet site. The intensive literature review reveals the existing of several studies that have been done on the field of Online Social Network (OSN), but there is a lack of research that deals with usage in the context of public sector organizations. This study aims to employ structural equation modeling via AMOS to analyze 401 valid questionnaires for assessing a model which is proposed based on Unified Theory of Acceptance and Use of Technology (UTAUT) to identify the factors affecting the use of OSN among employees of a public sector organization in the UAE. The proposed model examines the influence of four factors; performance, effort, social influence, and facilitating conditions on the actual use of OSN. Results indicated that all these factors (as independent variables) significantly predicted the actual usage of OSN with various percentages. Our work improved the insights on the online social networking usage in the context of public sector organizations.

scholarly journals Evaluating key factors affecting knowledge exchange in social media community

2018 ◽  
Vol 169 ◽  
pp. 01023 ◽  
Author(s):  
Li-Wen Chuang ◽  
Shu-Ping Chiu
Keyword(s):  
Social Capital ◽  
Social Media ◽  
Social Network ◽  
Structural Equation ◽  
Social Issues ◽  
Knowledge Exchange ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Future Research ◽  
Factors Affecting

Today, social media opens up multiple options to add a new channel to learn and obtain knowledge. In particular, social media allows users to learn formal and informal social settings. Users can find like-minded people or community and organize knowledge exchange for educational or other purposes. This paper takes the theory of social network and social capital as the core factors to explore social media community members how to use social media platform to exchange knowledge. The paper uses social network and social capital as predictors of knowledge exchange so that we can use social media as a way to advance knowledge exchange ceaselessly. Therefore, there were 263 members of well-known social media community of knowledge exchange filling out the questionnaires completely, and then evaluated with structural equation modeling, and confirmatory factor analysis was also applied, using SmartPLS 2.0, to test if the empirical data conform to the proposed model. However, results also imply that social capital and social network distinctly play the important part of affecting knowledge exchange and communication about social issues on social media community goes hand in hand with knowledge exchange. Finally, this article proposes implications for theory and practice on the current and future research.

Parallel mediation model of social capital, learning and the adoption of best crop management practices

2018 ◽  
Vol 10 (4) ◽  
pp. 589-607 ◽  
Author(s):  
Muhammad Usman ◽  
Malik Imran Ahmad
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Management Practices ◽  
Crop Management ◽  
Equation Modeling ◽  
Small Farmers ◽  
Content Type ◽  
Bonding Social Capital ◽  
Bridging Social Capital

Purpose The purpose of this paper is to examine the effect of social capital on the adoption of best crop management practices and testified the mediatory role of learning in the relationship between social capital and the adoption of best crop management practices. Then the authors examined the role of education as the moderator of the interrelations between social capital, learning and the adoption of crop management practices. Design/methodology/approach Based on a survey of 317 small farmers from three districts of Southern Punjab, the authors used structural equation modeling and bootstrapping to test these relationships. Findings The study confirms that bonding social capital and bridging social capital are positively related to the adoption of best crop management practices. Moreover, the authors empirically demonstrate that exploitative and explorative learning act as the parallel mediators between social capital and the adoption of best crop management practices. Practical implications By focusing on building social capital and maintaining meaningful interactions with the social networks, the small farmers can improve their existing methods and practices of managing the existing varieties of crops. Originality/value The extant literature has highlighted, but usually not explored, the imperative interrelations between social capital, learning and the adoption of best crop management practices. The authors provide empirical evidence about these relationships.

scholarly journals Women’s self-care behavior and its relationship with social capital in Yazd, Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hamideh Shiri-Mohammadabad ◽  
Seyed Alireza Afshani
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Self Care ◽  
Equation Modeling ◽  
Fit Indices ◽  
Factors Affecting ◽  
Positive Effects ◽  
The Social ◽  
The City ◽  
Care Behavior

Abstract Background Research on factors affecting self-care is scarce. The social factors, in particular, have not been yet investigated in Iran. Therefore, the present study aimed to investigate the relationship between self-care and social capital among women. Methods The participants were 737 women who were living in the marginal, middle and upper areas in the city of Yazd, Iran. Data were collected using a researcher-made self-care questionnaire and Harper’s (Off Natl Stat 11:2019, 2019) Social Capital Scale. The data were analyzed using structural equation modeling by SPSS and Amos v24. Results The results showed that the social capital had significant positive effects on the general self-care behavior of the participants (β = 0.56, p < 0.001). It also had significant positive effects on the self-care behavior of women living in the marginal (β = 0.58), middle (β = 0.49) and upper (β = 0.62) parts of the city (p < 0.001). Besides, the women living in the marginal parts had relatively lower levels of self-care compared to those living in the middle and upper parts of the city. The examination of the fit indices indicated that the model has a good fit (CMIN/DF = 2.087, NFI = 0.921, RMSEA = 0.027, CFI = 0.956, TLI = 0.940, GFI = 0.956, IFI = 0.957). Conclusion The findings of this study demonstrated that social capital has significant positive effects on the general self-care behavior of women. Therefore, improving their self-care can be achieved through promoting their social capital.

scholarly journals THE IMPACT OF ECONOMIC EXPECTATION, SOCIAL CAPITAL AND HOPE ON MIGRATION REQUEST AND ACTION

2021 ◽  
pp. 47-58
Author(s):  
Şerafettin KELEŞ
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Empirical Method ◽  
Economic Thought ◽  
Equation Modeling ◽  
Migration Decision ◽  
Factors Affecting ◽  
The Social ◽  
Negative Effect ◽  
The Impact

In this study, the factors affecting the request and action of migration are examined with empirical method within the scope of neoclassical economic theories and behavioral economic thought. A survey of a selected sample was analyzed with structural equation modeling. There was a linear relationship between migration and economic expectation, social capital and hope. It was found that the Economic Expectation Variable had a very strong negative effect on individuals' decision to immigrate and desire to migrate (γ = -0.99; t = -17.87). Hope variable has a very strong negative effect on individuals' migration decision and desire to migrate (γ = -0.96; t = -13.66). The Social Capital Secret Variable has a negatively moderate effect on individuals' decision to immigrate and desire to migrate (γ = -0.48; t = -8.19). It was seen that economic and political conjuncture was effective in the decision of migration of individuals.

scholarly journals Toward an improved risk/crisis communication in this time of COVID-19 pandemic: a baseline study for Philippine local government units

2020 ◽  
Vol 19 (07) ◽  
pp. A09
Author(s):  
Reymund Flores ◽  
Xavier Venn Asuncion
Keyword(s):  
Local Government ◽  
Crisis Communication ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Communication Preferences ◽  
Health Crisis ◽  
Factors Affecting ◽  
The Public ◽  
The Government

This study mainly explores the communication preferences of the public; their level of trust in the government; and the factors affecting their risk/crisis perception amidst the COVID-19 pandemic. The key findings —derived from the data collected through an online survey and analysis using descriptive statistics, cross-tabulations, and Structural Equation Modeling (SEM), provide insights on how Local Government Units (LGUs) can improve their risk/crisis communication in this current health crisis. Among the key takeaways include the use of social media platforms, like Facebook, and native/local language for effective risk/crisis communication which may, consequently, foster trust building between the LGUs and the public.

An Exploration of Pre-Service Teachers' Intention to Use Mobile Devices for Teaching

2015 ◽  
Vol 7 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Jung Won Hur ◽  
Ying W. Shen ◽  
Ugur Kale ◽  
Theresa A. Cullen
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
The Us

Teachers in the US have been increasingly adopting mobile devices for teaching, but little research has examined how pre-service teachers perceive mobile device integration in classrooms. To address this issue, the study developed a research model that explained factors affecting pre-service teachers' intention to use mobile devices and the relationship among the factors. A total of 386 pre-service teachers participated in an online survey, and the model was tested using structural equation modeling. The results showed that 72.5% of variances in pre-service teachers' intention to use mobile devices were explained by perceived usefulness and self-efficacy for technology integration jointly, where perceived usefulness was the strongest predictor. The findings also demonstrated that constructivist beliefs and perceived ease of use indirectly influenced pre-service teachers' intention to use mobile devices for teaching.

Factors affecting customers’ intention to use of location-based services (LBS) in the lodging industry

2017 ◽  
Vol 8 (3) ◽  
pp. 337-356 ◽  
Author(s):  
Jungsun (Sunny) Kim ◽  
Sungsik Yoon ◽  
Dina Marie V. Zemke
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Location Based Services ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Privacy Concerns ◽  
Four Dimensions ◽  
Secondary Use ◽  
Hotel Customers

Purpose The purpose of this study is to investigate the determinants of customers’ intentions to use location-based services (LBS) offered by a hotel. The study examined whether hotel customers’ coupon proneness, trust, privacy concerns and familiarity with LBS are significant determinants of their intentions to use LBS. Design/methodology/approach An online survey using a scenario-based narrative was administered to collect data from participants who have smartphones and have stayed at a full-service hotel within the previous 12 months. A research model tested data collected from 402 hotel customers, using confirmatory factor analysis and structural equation modeling. Findings Three proposed determinants (i.e. familiarity, coupon proneness and trust) positively influenced customers’ intentions to use LBS. Out of the four dimensions of privacy concerns (concerns of collection, error, unauthorized secondary use and improper access), only concerns about data collection negatively influenced customers’ intentions to use a hotel’s LBS. Originality/value This study extends the literature on LBS adoption and other technology with privacy issues by modifying existing models and empirically testing it in the new context of hotels.

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