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Viewpoint: Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application

TLDR
A conceptual model that combines unified theory of acceptance and use of technology (UTAUT) with perceived risk with respect to usage behaviour of Internet banking is developed and some relationships of UTAUT are supported.
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This article is published in International Journal of Information Management.The article was published on 2014-02-01. It has received 1010 citations till now. The article focuses on the topics: Unified theory of acceptance and use of technology & The Internet.

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Citations
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Factors influencing adoption of mobile banking by Jordanian bank customers

TL;DR: In this paper, the authors examined the factors influencing behavioral intentions and adoption of mobile banking by Jordanian bank customers using extended unified theory of acceptance and use (UTAUT2) as a basic model.
Journal ArticleDOI

Understanding mobile banking

TL;DR: An innovative and comprehensive theoretical model that combines the extended unified theory of acceptance and use of technology (UTAUT2) of Venkatesh, Thong, and Xu, with cultural moderators from Hofstede is proposed, providing new insights into factors affecting the acceptation and how culture influences individual use behaviour.
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Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM

TL;DR: The study found that facilitating conditions and behavioral intentions directly influence mBanking adoption, and initial trust, performance expectancy, technology characteristics, and task technology fit have total effect on behavioral intention.
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Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA

TL;DR: A model based on a slightly-altered version of the classical unified theory of acceptance and use of technology (UTAUT) is developed, which revealed the existence of distinct adoption behaviors between India-based and USA-based professionals.
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Social commerce constructs and consumer's intention to buy

TL;DR: This research investigates the new stream in e-commerce by proposing a new model to develop understanding of social commerce using a PLS-SEM methodology and results show that Web 2.0 applications are attracting individuals to have interactions as well as generate content on the Internet.
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.
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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.

Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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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