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Journal ArticleDOI

Consumer trust in an Internet store

TLDR
In this study, consumers recognized differences in size and reputation among Internet stores, and those differences influenced their assessments of store trustworthiness and their perception of risk, as well as their willingness to patronize the store.
Abstract
The study reported here raises some questions about the conventional wisdom that the Internet creates a “level playing field” for large and small retailers and for retailers with and without an established reputation. In our study, consumers recognized differences in size and reputation among Internet stores, and those differences influenced their assessments of store trustworthiness and their perception of risk, as well as their willingness to patronize the store. After describing our research methods and results, we draw some implications for Internet merchants.

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Journal ArticleDOI

Trust and TAM in online shopping: an integrated model

TL;DR: Research on experienced repeat online shoppers shows that consumer trust is as important to online commerce as the widely accepted TAM use-antecedents, perceived usefulness and perceived ease of use, and provides evidence that online trust is built through a belief that the vendor has nothing to gain by cheating.
Journal ArticleDOI

Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model

TL;DR: The proposed model integrates trust and perceived risk, which are incorporated given the implicit uncertainty of the e-commerce environment, and is justified by placing all the variables under the nomological TRA structure and proposing their interrelationships.
Journal ArticleDOI

A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents

TL;DR: A theoretical framework describing the trust-based decision-making process a consumer uses when making a purchase from a given site is developed and the proposed model is tested using a Structural Equation Modeling technique on Internet consumer purchasing behavior data collected via a Web survey.
Journal ArticleDOI

What drives mobile commerce? An empirical evaluation of the revised technology acceptance model

TL;DR: This study presents an extended technology acceptance model (TAM) that integrates innovation diffusion theory, perceived risk and cost into the TAM to investigate what determines user mobile commerce (MC) acceptance.
Posted Content

Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior

TL;DR: A longitudinal study with online consumers supports the proposed e-commerce adoption model, validating the predictive power of TPB and the proposed conceptualization of PBC as a higher-order factor formed by self-efficacy and controllability.
References
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Journal ArticleDOI

The theory of planned behavior

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.
Book

Understanding Attitudes and Predicting Social Behavior

TL;DR: In this paper, the author explains "theory and reasoned action" model and then applies the model to various cases in attitude courses, such as self-defense and self-care.
Journal ArticleDOI

The Commitment-Trust Theory of Relationship Marketing

TL;DR: Relationship marketing, established, developing, and maintaining successful relational exchanges, constitutes a major shift in marketing theory and practice as mentioned in this paper, after conceptualizing relationship relationships as a set of relationships.
Book

Structural Equations with Latent Variables

TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
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