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Journal ArticleDOI

A study of mobile user engagement (MoEN)

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TLDR
It is found that mobile users' engagement motivations do influence perceived value, satisfaction and mobile engagement intention, and this model is proposed to explain mobile user engagement intention through user's motivations, perceived value and satisfaction.
Abstract
The growth of mobile technology mediated environments is accelerated by its accessibility and easy use tools, such as smartphones and tablets. User friendly and intuitive features drive user value and satisfaction. These features motivate and drive further mobile user engagement. Smartphones, for example, allow users to control when, where, and how they engage in chosen activities that serve their needs, saving time, completing a task (utilitarian), entertain them (hedonic), or connect with others (social). Few studies have examined why and how mobile users are continually engaging mobile activities. Focusing on mobile engagement which has not previously been explored, this study investigates, proposes, and tests a mobile user engagement (MoEN) model to explain mobile user engagement intention through user's motivations, perceived value and satisfaction. Findings indicate that mobile users' engagement motivations do influence perceived value, satisfaction and mobile engagement intention. Research introduces the concept of mobile user engagement (MoEN).Research utilizes the cognitive-affective-conative stage framework.Research framework helps to understand mobile user mobile engagement motivations.Empirical results highlight the importance of mobile user engagement behavior.

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Sizzle without the steak: the emerging strategic implications of receiving a free offering in the digital age

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Consumer Innovativeness and Consumer Engagement: User Motivation As a Mediator

TL;DR: In this article , consumer innovativeness was positively associated with utilitarian, hedonic, and social user motivations, each of which was associated with consumer engagement, and user motivation mediated the consumer innovation-consumer engagement relationship.
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Determinants of physicians’ intention to use AI-assisted diagnosis: An integrated readiness perspective

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Integrating Technology Into Mental Health Care Delivery

TL;DR: In this article , relevant considerations on the integration of smartphones' mobile apps in the clinical field are presented and described, reviewing their potentials for psychology, as well as for other behavioral sciences.
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.
Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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...
Journal ArticleDOI

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.
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.
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