What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age
Yang Zhao,Qi Ni,Ruoxin Zhou +2 more
TLDR
A meta-analysis conducted to develop a comprehensive framework regarding the adoption of individual mobile health services and analyzed the moderating effect of age indicated that perceived usefulness, perceived ease of use, perceived vulnerability and perceived severity all have significant impacts on individual attitude.About:
This article is published in International Journal of Information Management.The article was published on 2017-10-01 and is currently open access. It has received 299 citations till now. The article focuses on the topics: Moderation & Descriptive statistics.read more
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Real-time big data processing for anomaly detection: A Survey
Riyaz Ahamed Ariyaluran Habeeb,Fariza Hanum Nasaruddin,Abdullah Gani,Ibrahim Abaker Targio Hashem,Ejaz Ahmed,Muhammad Imran +5 more
TL;DR: This paper begins with the explanation of essential contexts and taxonomy of real-time big dataprocessing, anomalous detection, and machine learning algorithms, followed by the review of big data processing technologies.
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The effect of characteristics of source credibility on consumer behaviour: A meta-analysis
TL;DR: In this paper, the authors synthesize findings from existing studies on the characteristics of source credibility of electronic word of mouth (eWOM) communications in a single model by using meta-analysis and show that source expertise, trustworthiness, and homophily significantly influence perceived eWOM usefulness and credibility, intention to purchase, and information adoption.
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Factors influencing the adoption of mHealth services in a developing country: A patient-centric study
TL;DR: Examining the factors affecting the adoption of mHealth services in Bangladesh by using the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model with perceived reliability and price value factors confirmed that performance expectancy, social influence, facilitating conditions and perceived reliability positively influence the behavioral intention to adopt m health services.
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The battle of Brain vs. Heart: A literature review and meta-analysis of “hedonic motivation” use in UTAUT2
TL;DR: An objective of this study is to bring back much needed focus on motivation dichotomy from the consumer perspective by a systematic review and meta-analysis of hedonic motivation an affective construct in UTAUT2 studies.
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A meta-analysis of antecedents and consequences of trust in mobile commerce
TL;DR: A meta-analysis of 118 related empirical studies indicates that antecedents namely perceived usefulness, perceived ease of use, system quality, information quality, service quality, user interface, perceived risk, perceived security, structural assurance, ubiquity, and disposition to trust have significant relationship with trust in m-commerce.
References
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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.
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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.
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.