Lifestyles and Mobile Services Adoption in China

Gao, Shang; Krogstie, John; Chen, Zhihao; Zhou, Wenyan

doi:10.4018/ijebr.2014070103

Cited by 22 publications

(11 citation statements)

References 39 publications

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“…However, TAM's limitations relative to extensibility and explanation power have been noted [5]. Many researchers have suggested that TAM needs to be extended with additional variables to provide a stronger model [15] [12,24]. Some researchers have also indicated that the major constructs of TAM cannot fully reflect the specific influences of technological and usage-context factors that may alter users' acceptance [29].…”

Section: Technology Diffusion Theorymentioning

confidence: 99%

Understanding the Adoption of Smart Wearable Devices to Assist Healthcare in China

Gao

Zhang

Peng

2016

Social Media: The Good, the Bad, and the Ugly

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With the development and advancement of information communication technology, smart wearable devices are playing a more and more important role in peoples' daily lives. This study aims to investigate the adoption of smart wearable devices to assist healthcare in China. Based on the previous technology diffusion theories (e.g., TAM, IDT), a research model with ten research hypotheses was proposed in this research. The research model was empirically tested with a sample of 180 users of smart wearable devices in China. The results indicated that seven of the ten research hypotheses were significantly supported. The most significant determinant for users' attitude towards smart wearable devices was trust. However, personal characteristics did not have a significant positive impact on both users' attitude and behavior intention to use smart wearable devices.

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Section: Technology Diffusion Theorymentioning

confidence: 99%

Understanding the Adoption of Smart Wearable Devices to Assist Healthcare in China

Gao

Zhang

Peng

2016

Social Media: The Good, the Bad, and the Ugly

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“…It allows users to make video calls, download and transfer files, and use internet-based applications. Smartphones have the potential to enhance the quality of people's life [5,6]. For instance, people can get immediate access to information on a variety of topics through their smartphones.…”

Section: Introductionmentioning

confidence: 99%

The Adoption of Smartphones Among Older Adults in China

Gao

Yang

Krogstie

2015

Information and Knowledge Management in Complex Systems

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Part 3: Information Systems and ServicesInternational audienceThis research aims to investigate the adoption of smartphones with older adults in China. Based on the literature review from previous research, a research model with eight research hypotheses is developed by extending UTAUT with a consideration of observability and compatibility from IDT, and perceived enjoyment and price value. This research model is empirically examined using survey data from a sample of 121 older adults in China. Five research hypotheses were positively significant supported, while three research hypotheses were rejected in this study. The results suggest that social influence, observability, compatibility, performance expectancy and perceived enjoyment, are important determinants for the use and adoption of smartphones with older adults in China

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“…al Unified Theory of Acceptance and Use of Technology (UTAUT) model. [12] Performance expectancy, effort expectancy, social influence, and facilitating conditions are four influencing constructs of behavioral intention. Hedonic motivation, price value, and habit were later added to the original UTAUT model, which was termed UTAUT2.…”

Section: Hypothesis Development Data Analysis and Resultsmentioning

confidence: 99%

Mobile health app to facilitate the adoption of digital health in India

Srisachidanand

Sangal

2022

ijhs

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Background: Health care providers have begun to move their services from traditional clinical consultations to online apps as a result of the growing popularity of mobile health. Although health apps are becoming more popular and have a greater user base, there is a vacuum in the literature regarding why people want to use Healthcare apps. Objective: The primary goal of this study is to identify the factors that influence consumers' willingness to adopt and use healthcare apps for personal medical services such as consulting a doctor, ordering medications, and scheduling appointments with a doctor, as well as to investigate the willingness to use them among the tech-savvy young generation. Methods: We used random sampling to perform a quantitative study on UTAUT2 Variables for app users. SPSS and Excel were used to statistically analyze, valid data, samples were collected from 386 app users. Results: The findings revealed that Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Hedonic Motivation, Price Value, Habit, Facilitating condition, Self-efficiency, Trust, Behavioural intention, shows the higher level of significance and tends to the adoption of NDHM mobile app for healthcare needs.

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Lifestyles and Mobile Services Adoption in China

Cited by 22 publications

References 39 publications

Understanding the Adoption of Smart Wearable Devices to Assist Healthcare in China

Understanding the Adoption of Smart Wearable Devices to Assist Healthcare in China

The Adoption of Smartphones Among Older Adults in China

Mobile health app to facilitate the adoption of digital health in India

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