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Social interaction and continuance intention in online auctions: A social capital perspective

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TLDR
The analytical results demonstrate that the influence of user interaction on continuance intention in online auctions is mediated by the creation of various dimensions of social capital at the community level.
Abstract
This study explores how interaction within an online auction community affects online auction actor intention to continue trading with others. Adopting a social perspective drawing on social capital theory and IS literature, this study investigates how interactions among actors contribute to the creation and advancement of social capital. The analytical results demonstrate that the influence of user interaction on continuance intention in online auctions is mediated by the creation of various dimensions of social capital at the community level. Finally, the implications of the study findings are discussed.

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Understanding the effect of e-learning on individual performance

TL;DR: It is proposed that an individual's level of digital literacy affects her performance through its impact on her performance and effort expectations, and that individual digital literacy facilitates the use of e-learning, and should be considered when examining the impact of the latter on performance.
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Social interaction-based consumer decision-making model in social commerce

TL;DR: 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.
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Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives

TL;DR: This study sheds light on learning system design as assisted by IS in VLE and can serve as a basis for promoting VLS in assisting learning and reveals that perceived fit and satisfaction are important precedents of the intention to continue VLS and individual performance.
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Are personal innovativeness and social influence critical to continue with mobile commerce

TL;DR: The study found that among well-educated m-commerce users, user personal innovativeness as measured by PIIT and perceived usefulness, remain as strong determinants of user continuance intention.
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Understanding the effects of gratifications on the continuance intention to use WeChat in China

TL;DR: The results show that, technology gratification has the greatest effect on the continuance intention to use WeChat, followed by hedonic gratification (perceived enjoyment) and utilitarian gratification (information sharing).
References
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Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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...
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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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Economic Action and Social Structure: The Problem of Embeddedness

TL;DR: In this article, the extent to which economic action is embedded in structures of social relations, in modern industrial society, is examined, and it is argued that reformist economists who attempt to bring social structure back in do so in the "oversocialized" way criticized by Dennis Wrong.
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User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.
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Comparative fit indexes in structural models

TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
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