CHI '01 Extended Abstracts on Human Factors in Computing Systems
Trust as an Organizing Principle
Organization Science
Use of social network information to enhance collaborative filtering performance
Expert Systems with Applications: An International Journal
Engage: The Complete Guide for Brands and Businesses to Build, Cultivate, and Measure Success in the New Web
The Social Media Bible: Tactics, Tools, and Strategies for Business Success
The Social Media Bible: Tactics, Tools, and Strategies for Business Success
Understanding Digital Culture
Trust and TAM in online shopping: an integrated model
MIS Quarterly
A group trust metric for identifying people of trust in online social networks
Expert Systems with Applications: An International Journal
Predicting m-commerce adoption determinants: A neural network approach
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
This paper presents a stochastic model that identifies network effect and customer orientation empowerment as strong antecedents of trustworthiness and trust in social media network environment. As Trust is emerging as a critical influencer of consumer behavior in organizations, social media has become the facilitator or the enabler of this influence. This paper aims to explore and examine the relationships amongst the antecedents of trust in the context of the social media network environment via Bayesian estimation and testing of the structural equation model. In facilitating the estimation of the stochastic model, a survey was conducted on 255 social media users. A series of statistical analyses were conducted prior to the estimation using Bayesian Markov Chain Monte Carlo (MCMC). Results showed that network effect and customer orientation empowerment were significant predictors of trustworthiness and trust. Bayesian MCMC results confirmed that the findings were consistent with the literature.