Social Capital as Engagement and Belief Revision

Koley, Gaurav; Deshmukh, Jayati; Srinivasa, Srinath

doi:10.1007/978-3-030-60975-7_11

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…Besides, gender and years of living in orphanages have significant differences in social engagement. This result is aligned with the social capital theory that emphasizes that one of the factors affecting social engagement is related to the actor and the nature of the relationship between any two actors, which will relate to familiarity and trust (Koley et al, 2020).…”

Section: Discussionsupporting

confidence: 75%

Orphan’s Social Engagement and Demographic Relationship: A Preliminary Investigation From Pahang Orphanages

Ahmad

2023

European Proceedings of Finance and Economics

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Social engagement is essential to make sure that the orphans do not feel like they are being left behind by society. It is also necessary to support Sustainability Development Goal (SDG) in creating child well-being.Child well-being is both an indicator and a foundation of social and economic development. Therefore, this study aims to identify the social engagement of orphans in Pahang orphanages. Besides, this study examines the relationship and significant differences between demographic factors (gender, age, and years of living in orphanages) and social engagement among the orphans in Pahang orphanages. The questionnaire was distributed to 270 orphans aged 8 to 17 years old at 12 orphanages in Pahang, Malaysia. To test research objectives, Statistical Package for the Social Sciences (SPSS) was used in generating the descriptive result, regression and Analysis of Variance (ANOVA). The result shows that the overall social engagement in Pahang orphanages is considered moderately high. Besides, the result revealed that gender and years of living in orphanages have an impact on social engagement. For these results, there is a need for the policymakers to organize more programs between orphans and society by considering the gender and years of living in orphanages to support the National Children's Mental and Well-being Strategy.

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Section: Discussionsupporting

confidence: 75%

Orphan’s Social Engagement and Demographic Relationship: A Preliminary Investigation From Pahang Orphanages

Ahmad

2023

European Proceedings of Finance and Economics

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“…Engagement in social media networks occurs via comments, likes, retweets, etc, and influencers' engagement with potential customers has a significant impact on social media advertizing [34]. We incorporate an episode of engagement, also called a stroke [7], which has been quantified and used before in social networks [20]. In the case of influencer marketing, it is called the engagement rate x and it measures the level of interaction by followers from content created by an influencer agent x.…”

Section: Agent Attributesmentioning

confidence: 99%

Modeling Influencer Marketing Campaigns in Social Networks

Doshi,

Ranganathan,

Rao

2021

Preprint

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In the present day, more than 3.8 billion people around the world actively use social media. The effectiveness of social media in facilitating quick and easy sharing of information has attracted brands and advertizers who wish to use the platform to market products via the influencers in the network. Influencers, owing to their massive popularity, provide a huge potential customer base generating higher returns of investment in a very short period. However, it is not straightforward to decide which influencers should be selected for an advertizing campaign that can generate maximum returns with minimum investment. In this work, we present an agent-based model (ABM) that can simulate the dynamics of influencer advertizing campaigns in a variety of scenarios and can help to discover the best influencer marketing strategy. Our system is a probabilistic graph-based model that incorporates real-world factors such as customers' interest in a product, customer behavior, the willingness to pay, a brand's investment cap, influencers' engagement with influence diffusion, and the nature of the product being advertized viz. luxury and non-luxury. Using customer acquisition cost and conversion ratio as a unit economic, we evaluate the performance of different kinds of influencers under a variety of circumstances that are simulated by varying the nature of the product and the customers' interest. Our results exemplify the circumstance-dependent nature of influencer marketing and provide insight into which kinds of influencers would be a better strategy under respective circumstances. For instance, we show that as the nature of the product varies from luxury to non-luxury, the performance of celebrities declines whereas the performance of nano-influencers improves. In terms of the customers' interest, we find that the performance of nano-influencers declines with the decrease in customers' interest whereas the performance of celebrities improves.

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