Modelling the Relationship between Linked-In Usage and Social Capital Formation

Hoda, Najmul; Gupta, Senjuti; Ahmad, Mobin; Gupta, Utkarsh

doi:10.14207/ejsd.2021.v10n1p624

Cited by 5 publications

(4 citation statements)

References 45 publications

(59 reference statements)

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“…A positive and significant relationship between SNS intensity and online social capital has been reported in several studies that involved Facebook [2,17,32,36,50]. Few studies involved other SNSs such as Renren [18]; MySpace [60]; LinkedIn [2]; WeChat [61]; and WhatsApp [17]. Similar results were reported in these studies as well.…”

Section: Research Hypothesessupporting

confidence: 79%

“…Online activities and usage intensity are responsible for the accumulation of online social capital [33,[53][54][55][56][57][58][59]. A positive and significant relationship between SNS intensity and online social capital has been reported in several studies that involved Facebook [2,17,32,36,50]. Few studies involved other SNSs such as Renren [18]; MySpace [60]; LinkedIn [2]; WeChat [61]; and WhatsApp [17].…”

Section: Research Hypothesesmentioning

confidence: 99%

“…Then, the value of R 2 was checked after adding the moderator. In order to compute the effect size of f 2 , Equation (1) was used as shown in Equation (2). The effect size of f 2 was found to be 0.015, implying that the moderating effect is small.…”

Section: Moderating Role Of Sns Type On the Relationship Between Sns-...mentioning

confidence: 99%

“…In the last decade, the use of SNSs has grown tremendously and touched the lives of a large number of people across the world. Studies show that SNSs enhance the efficiency of social networking and bring "latent benefits" to the users [1][2][3]. These latent benefits have been shown to accrue in the form of online social capital, which is found to be embedded in the theory of social networking.…”

Section: Introductionmentioning

confidence: 99%

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Intensity of SNS Use as a Predictor of Online Social Capital and the Moderating Role of SNS Platforms: An Empirical Study Using Partial Least Squares Structural Equation Modelling

et al. 2023

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This study firstly aims to understand how social networking site usage results in online social capital formation, considering two different types of social networking sites (SNS)—LinkedIn and Facebook. It further aims to investigate if the process varies among different social networking sites or remains uniform. This study also validates two prominent scales, namely the Facebook Intensity Scale (FIS) and the Internet Social Capital Scale (ISCS). A structured questionnaire was administered through various social media platforms resulting in a total of 329 valid responses (167 LinkedIn users and 162 Facebook users). Applying the partial least squares method of structural equation modelling, it was found that social networking site use results in the formation of both online-bonding and online-bridging social capital for both types of SNS. Further, moderation analysis results show that the type of SNS platform does not affect the relationship between SNS intensity and online social capital. This implies that users’ social capitals are dependent on how they use an SNS. These findings have both practical and academic implications. They provide new insights into the usage, intensity, and online social capital that should be beneficial for commercial purposes. In terms of academic contribution, this research contributes to the scarce studies that have considered SNSs other than Facebook and also compared two SNSs. It further confirms the social capital theory in the field of online networking.

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