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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Journal ArticleDOI
Information evolution in complex networks
TL;DR: In this paper , the coexistence of randomness and regularity in complex networks has been studied and a general theory to characterize information evolution is proposed, which can be used to explain the emergence of neural tuning properties in the primary visual and medial temporal cortices.
Journal ArticleDOI
The impacts of observational learning and word-of-mouth learning on farmers’ use of biogas in rural Hubei, China: does interpersonal trust play a role?
TL;DR: In this paper , the impacts of observational learning and word-of-mouth learning from different subjects (i.e., relatives, neighbors, cadres, cooperative members, and technical instructors) on the use of residue-based biogas by farmers were explored.
Journal ArticleDOI
Advances in Search Strategy Using the Set of Brand Considerations in the Web Ecosystem
TL;DR: It is concluded that ambivalent messages on consumer-initiated sites lead to the postponement of a decision and a continued search for another brand.
Journal ArticleDOI
The effect of perceived usefulness of recommender systems and information sources on purchase intention
TL;DR: In this article , the influence of different information sources, together with the persuasiveness of recommender systems (RSs) on the consumer's purchase intention (PI) was investigated.
Book ChapterDOI
Electronic Word of Mouth Engagement Model in Social Commerce
TL;DR: In this article, the authors proposed a theoretical model for eWOM engagement by means of elaboration likelihood model, theory of reasoned action and social support theory, which will complement the current effort of the research community in this field.
References
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Journal ArticleDOI
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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