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Journal ArticleDOI

Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance

TLDR
A conceptual model is developed by extending the technology acceptance model (TAM) with KM factors (acquisition, sharing, application, and protection) with the Partial Least Squares-Structural Equation Modeling (PLS-SEM) to examine the M-learning acceptance.
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This article is published in Technology in Society.The article was published on 2020-05-01. It has received 85 citations till now. The article focuses on the topics: Technology acceptance model & Knowledge sharing.

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Citations
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Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people

TL;DR: The results of ANOVA analysis showed the respondents being more partial towards learning via mobile applications and video content over the traditional form, and the students tended to emulate their teachers who integrated modern technologies into their curriculum and used it outside classroom hours for learning.
Journal ArticleDOI

Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach

TL;DR: The findings indicate two powerful constructs (regulatory support and experience) that encourage customer's trust toward blockchain-based applications and governments and businesses can dedicate efforts to enhance customers' trust and ultimately promote better acceptance of blockchain technology and its applications.
Journal ArticleDOI

Employing the technology acceptance model in social media: A systematic review

TL;DR: This systematic review of social media studies that involved the TAM as the primary theoretical model found that studying social media adoption and usage among students was the most frequent research problem tackled and Facebook was found to be the most common social media tool used in most of the analyzed studies.
Journal ArticleDOI

Can COVID-19 Pandemic Influence Experience Response in Mobile Learning?

TL;DR: MTAM is validated in the field of education by integrating MTAM with pedagogy and technology attributes under a social emergency setting such as the COVID-19 pandemic, and explains users' ER rather than behaviour intention which is commonly adopted in past studies.
Journal ArticleDOI

Influencing factors in M-learning adoption in higher education

TL;DR: Results indicate that perceived usefulness and attitude have significant influence on M- learning adoption intention, while perceived usefulness, perceived ease of use and perceived self-efficacy significantly affect the attitude to use M-learning.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.

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.
Journal ArticleDOI

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.
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

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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