Journal ArticleDOI
Social interaction-based consumer decision-making model in social commerce
Yichuan Wang,Chiahui Yu +1 more
TLDR
It is found that positive and negative valence WOM, WOM content, and observing other consumers purchases significantly affect consumers intention to buy a product, thereby increasing the likelihood of actual buying and sharing product information with others on social commerce sites.About:
This article is published in International Journal of Information Management.The article was published on 2017-06-01. It has received 252 citations till now. The article focuses on the topics: Social relation & Social media.read more
Citations
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A quality-facilitated socialization model of social commerce decisions
TL;DR: This study proposes and empirically examines a new model that connects social commerce quality (perceptive and unperceptive) and social support quality to four interaction events of social commerce, namely initial attention, interaction experience, intuitive evaluation, and intention to buy.
Journal ArticleDOI
Social media and e-commerce: A scientometrics analysis
Journal ArticleDOI
Social media interactions, purchase intention, and behavioural engagement: The mediating role of source and content factors
George Onofrei,Raffaele Filieri +1 more
TL;DR: In this article , the authors examined the relationship between consumer-to-consumer (C2C) social media interactions (SMIs, Facebook and Instagram) and consumers' intention (i.e., purchase intention) and behaviour (e.g., behavioural engagement (BE), liking, sharing, commenting), considering the mediating role of source.
Journal ArticleDOI
The Determinants of eWoM in Social Commerce: The Role of Perceived Value, Perceived Enjoyment, Trust, Risks, and Satisfaction
TL;DR: In this paper, the authors developed a model for eWoM use for s-commerce post adoption, which link three antecedents-factors (trust towards other people, trust of internet/Instagram, and perceived risks) to e-commerce use through mediation of perceived enjoyment, perceived value, and customer satisfaction.
Journal ArticleDOI
Towards Building a Value Co-Creation Circle in Social Commerce
TL;DR: A new perspective of the value co-creation circle in the social commerce environment that allows practitioners to develop a value circulation by network externality and co-create value with customers is explored.
References
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI
Common method biases in behavioral research: a critical review of the literature and recommended remedies.
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Book
Principles and Practice of Structural Equation Modeling
TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI
Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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