Adoption of Mobile Information Services: An Empirical Study

Gao, Shang; Krogstie, John; Siau, Keng

doi:10.1155/2014/146435

Cited by 47 publications

(42 citation statements)

References 54 publications

(78 reference statements)

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“…Previous studies have found the positive relationship between perceived ease of use and users' attitude in the IS context (e.g., [13]). In the original TAM model, Davis proposed that perceived ease of use (PEOU) affects perceived usefulness (PU).…”

Section: Research Hypothesesmentioning

confidence: 89%

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: Research Hypothesesmentioning

confidence: 89%

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…Since it first appeared, the TAM model has been widely analyzed and expanded into different variants. Some of the most important evolutions have been the Venkatesh and Davis [46] TAM 2, the Venkatesh et al [69] Unified Theory of Acceptance and Use of Technology (UTAUT), for example, applied to mobile applications [70], the Wixom and Todd [71] integrated model of technology acceptance and user satisfaction, and the TAM 3 model proposed by Venkatesh and Bala [68] in the field of e-commerce.…”

Section: Adoption Modelsmentioning

confidence: 99%

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Palos-Sánchez

Arenas‐Márquez

Aguayo-Camacho

2017

Mobile Information Systems

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The present study empirically analyzes the factors that determine the adoption of cloud computing (SaaS model) in firms where this strategy is considered strategic for executing their activity. A research model has been developed to evaluate the factors that influence the intention of using cloud computing that combines the variables found in the technology acceptance model (TAM) with other external variables such as top management support, training, communication, organization size, and technological complexity. Data compiled from 150 companies in Andalusia (Spain) are used to test the formulated hypotheses. The results of this study reflect what critical factors should be considered and how they are interrelated. They also show the organizational demands that must be considered by those companies wishing to implement a real management model adopted to the digital economy, especially those related to cloud computing.

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“…Mobile apps offer bill payments, violation payments, exchanging information between individuals and government agencies (Naqvi & Al-Shihi, 2014). The adoption of mGov services has not yet achieved its objectives and studies have shown similar electronic government projects either have failed or faced a slow adoption process (Gao, Krogstie & Siau, 2014). For example, 35% of eGov projects failed to implement, 50% were partially completed and only 15% were found successful in the context of developing countries (Napitupulu & Sensuse, 2014).…”

Section: Introductionmentioning

confidence: 99%

Mobile applications in government services (mG-App) from user's perspectives: A predictive modelling approach

Sharma

Al‐Badi

Rana

et al. 2018

Government Information Quarterly

130

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Mobile applications are becoming a preferred delivery method for the government sector and contributing to more convenient and timely services to citizens. This study examines the intention to use mobile applications for the government services (mG-App) in Oman. This study extended the Unified Theory of Acceptance and Use of Technology (UTAUT) model by including two constructs namely trust and information quality. Data were collected from 513 mobile application users across Oman. The research model was analyzed in two stages. First, structural equation modelling (SEM) was employed to determine significant determinants affecting users' acceptance of mG-App. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of determinants of acceptance of mG-App. The findings revealed that trust and performance expectancy are the strongest determinants influencing the acceptance of mG-App. The findings of this research have provided theoretical contributions to the existing research on mG-App and practical implications to decision-makers involved in the development and implementation of mG-App in in Oman.

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Adoption of Mobile Information Services: An Empirical Study

Cited by 47 publications

References 54 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

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Mobile applications in government services (mG-App) from user's perspectives: A predictive modelling approach

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