Journal ArticleDOI
Expressive participation in Internet social movements: Testing the moderating effect of technology readiness and sex on student SNS use
TLDR
It is confirmed that effort expectancy, social influence, and performance expectancy significantly affect students' intentions to use SNS for expressive participation in Internet social movements.About:
This article is published in Computers in Human Behavior.The article was published on 2014-01-01. It has received 81 citations till now. The article focuses on the topics: Unified theory of acceptance and use of technology & Social influence.read more
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Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead
TL;DR: A multi-level framework that integrates the notion of research context and cross-context theorizing with the theory evaluation framework to synthesize the existing UTAUT extensions across both the dimensions and the levels of the research context is proposed.
Journal ArticleDOI
Unearthing the determinants of Blockchain adoption in supply chain management
TL;DR: Findings revealed that FC, TR and TA have a positive influence on intention to use BCSCM and regulatory support moderates the effect of FC.
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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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User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2
TL;DR: In this article, the authors examined the adoption of mobile applications for restaurant searches and/or reservations (MARSR) by users, as part of their experiential quality, and found that the drivers of intentions to use MARSR are, in order of impact: habit, perceived credibility, hedonic motivation, price-saving orientation, effort expectancy, performance expectancy, social influence, and facilitating conditions.
Journal ArticleDOI
Ready to be a Silver Surfer? A Meta-analysis on the Relationship Between Chronological Age and Technology Acceptance
TL;DR: This meta-analysis concludes that age is only related to specific technology perceptions (perceived ease of use) and only for specific technologies, and calls for an age-sensitive design of specific technologies.
References
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Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
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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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.
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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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User acceptance of information technology: toward a unified view
TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
Journal ArticleDOI
Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.