scholarly journals FACTORS AFFECTING CUSTOMERS’ ACCEPTANCE OF THE ADOPTION OF BLOCKCHAIN TECHNOLOGY AT DONG A COMMERCIAL JOINT STOCK BANK, HUE BRANCH

2020 ◽  
Vol 129 (5A) ◽  
Author(s):  
Duong Dac Quang Hao ◽  
Tran Thai Hoa ◽  
Nguyen Huu Dung
Keyword(s):  
Structural Equation ◽  
Personal Characteristics ◽  
Influential Factors ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Integrative Model ◽  
Perceived Ease Of Use ◽  
Systematic Random Sampling ◽  
Factors Affecting ◽  
Blockchain Technology

Abstract: This study aims to develop and test the integrative model of the factors affecting customers’ acceptance intention of the adoption of blockchain technology. Data were collected from a sample of 195 customers who have been conducting transactions at Dong A Bank – Hue branch. Samples are selected by using the systematic random sampling method. Structural equation modelling (SEM) is used to test the hypothesized relationships. The findings indicate that six out of eight tested relationships are supported. Perceived usefulness (PU) and Perceived ease of use (PEU) are the most critical factors affecting customers’ Attitude (AT). Attitude also has a direct and positive correlation to customers’ acceptance Intention (IN). Notably, Personal characteristics (PC) and Risk perception (RP) are the two most influential factors affecting Perceived usefulness. And, the Perceived ease of use factor is only affected by customers’ Self-command (SC). In general, this study contributes to enriching the existing knowledge of blockchain adoption in banks and helps banks figure out an efficient way to adopt blockchain technology.Keywords: customers’ acceptance, blockchain adoption, Dong A Bank, Hue branch

scholarly journals Understanding the insight of factors affecting mHealth adoption

2019 ◽  
Vol 8 (6) ◽  
pp. 181-200 ◽  
Author(s):  
Md. Abdul Kaium ◽  
Yukun Bao ◽  
Mohammad Zahedul Alam ◽  
Najmul Hasan ◽  
Md. Rakibul Hoque
Keyword(s):  
Structural Equation ◽  
Resistance To Change ◽  
Survey Methods ◽  
Population Sample ◽  
Influential Factors ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Factors Affecting

Numerous studies have addressed the different context of mHealth services among diverse user groups. But due to a lack of understanding the insight of factors affecting the mHealth adoption, it’s crucial need to conduct a systematic review on this issue. The objective of this study was to synthesize the present understanding of the influential factors of mHealth adoption. We performed a systematic literature search on eight electronically reputed scientific databases from 2010 to March 2019, such as Science Direct, Springer, IEEE Xplore, JMIR, Taylor & Francis, Emerald, Mary Ann Liebert and Google Scholar. This was accomplished by gathering data including authors, countries, years, target population, sample size, models/theories, and key influential factors. Primarily, a total of 2969 potentially relatable papers were found, of which 50 met the inclusion criteria. It was found that cross-sectional approach, survey methods and structural equation modeling (SEM) were the most explored research methodologies whereas PLS-SEM was found to be the largest used analysis tools. From the analysis, a total of ninety-four influential factors were clearly recognized and the findings represent that the following 15 factors appeared most recurrently and significantly; perceived usefulness, perceived ease of use, social-influence, subjective norms, self-efficacy, trust, facilitating conditions, technology anxiety, performance expectancy, effort expectancy, cost, attitude, resistance to change, perceived privacy and security, and perceived behavioral control. The research results have significant theoretical and practical implications for mHealth services providers, researchers and policy makers with regards to the Sustainable Development Goals (SDGs) allied to healthcare.

Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective

2018 ◽  
Vol 19 (3_suppl) ◽  
pp. S72-S89 ◽  
Author(s):  
Amit Shankar ◽  
Biplab Datta
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Payment ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
User Centric ◽  
Adoption Intention

This study aims to identify the factors affecting mobile payment (m-payment) adoption intention in India by proposing a conceptual framework based on technology acceptance model (TAM). In addition to construct of TAM, four user-centric constructs have been added to evaluate m-payment adoption intention in India. The proposed research framework was empirically tested by data collected from 381 potential m-payment service users, through online and offline survey. Data were analysed using structural equation modelling (SEM) technique. The results exhibit that perceived ease of use (PEOU), perceived usefulness (PU), trust, and self-efficacy (SE) have a significant positive impact on m-payment adoption intention. However, subjective norms (SN) and personal innovativeness (PI) have no significant impact on m-payment adoption intention. Findings of the study have important theoretical and practical implications, particularly to understand important user-centric factors affecting m-payment adoption.

An Exploration of Pre-Service Teachers' Intention to Use Mobile Devices for Teaching

2015 ◽  
Vol 7 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Jung Won Hur ◽  
Ying W. Shen ◽  
Ugur Kale ◽  
Theresa A. Cullen
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
The Us

Teachers in the US have been increasingly adopting mobile devices for teaching, but little research has examined how pre-service teachers perceive mobile device integration in classrooms. To address this issue, the study developed a research model that explained factors affecting pre-service teachers' intention to use mobile devices and the relationship among the factors. A total of 386 pre-service teachers participated in an online survey, and the model was tested using structural equation modeling. The results showed that 72.5% of variances in pre-service teachers' intention to use mobile devices were explained by perceived usefulness and self-efficacy for technology integration jointly, where perceived usefulness was the strongest predictor. The findings also demonstrated that constructivist beliefs and perceived ease of use indirectly influenced pre-service teachers' intention to use mobile devices for teaching.

An Empirical Study of the Factors Affecting Mobile Shopping in Taiwan

2014 ◽  
Vol 10 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Yi-Fen Chen ◽  
Yu-Chen Lan
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Equation Models ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
Mobile Shopping

Mobile commerce has already become one of the trends in future developments. Therefore, mobile shopping in application of mobile commerce will become one of the services with a vast development potential. A technology acceptance model (TAM) with trust is utilized to explore influence of perceived ease of use and perceived usefulness in mobile shopping on customers' attitudes and behavioral intention to use, mobility, convenience and information richness, characterized by mobile commerce. An online survey was performed on a sample of 600 mobile users in Taiwan. Structural equation models (SEM) are used to examine hypotheses within the theoretical framework.

scholarly journals The Literature Review of Blockchain Adoption

2021 ◽  
pp. 29-50
Author(s):  
Sukina Almekhlafi ◽  
Nagi Al-Shaibany
Keyword(s):  
Literature Review ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Adoption Studies ◽  
Factors Affecting ◽  
Blockchain Technology ◽  
Use Of Technology ◽  
Tam Model

Blockchain is an emerging technology that depends on distribution, decentralization, and encryption. Recently, it has gained wide interest in various fields of studies. Several considerable research on blockchain adoption has appeared in international journals across different disciplines, however, a review of literature on the adoption of blockchain remains rare. This study aimed to provide a comprehensive literature review of the current blockchain adoption studies that use individual adoption models or theories. This paper included the papers that are published in the 7 Scopus database from 2017-2021. Studies were analyzed to determine the adoption models or theories that are used, industry, country, methodology, and identify the most important influencing factors that drive the user to accept the adoption of blockchain technology. The results showed that there are still limitations in adoption studies in various fields such as health and education however, the field of supply chain management is one of the areas that received the most attention in the studies. Common studies relied on the Technology Acceptance Model (TAM) model as well as the Unified Theory of Acceptance and Use of Technology (UTAUT). Moreover, perceived ease of use (PEOU), perceived usefulness (PU) are considered the most important factors affecting the intention of users in adopting blockchain technology in different fields. The research findings have implications on blockchain adoption research. In terms of theory, the findings provide a guideline for the other researchers to put their own research in a better context and thus contribute to understanding the relevant blockchain adoption issues that require further investigation.

Evaluating the Factors Affecting Decision Support Systems Usage by Strategic Decision Makers in Egypt

2003 ◽  
pp. 226-243
Author(s):  
Ibrahim Elbeltagi
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Middle Eastern ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Strategic Decisions ◽  
Factors Affecting ◽  
Acceptance Model

This chapter draws on a survey of CEO and IT managers in local authorities in Egypt to explain the key factors affecting their use of DSS in making strategic decisions. This chapter proposes and tests a Structural Equation Model (SEM) that extends the generally accepted Technology Acceptance Model to assess relationships between an extensive range of constructs and their relation with DSS usage via Perceived Ease of Use and Perceived Usefulness. The SEM approach has enabled the development of a framework that will support a sustainable approach towards the adoption and use of DSS in developing Middle Eastern countries.

scholarly journals An empirical study on the adoption of blockchain-based games from users’ perspectives

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shang Gao ◽  
Ying Li
Keyword(s):  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Equation Modeling ◽  
Intention To Use ◽  
Research Model ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Blockchain Technology

Purpose The purpose of the research is to investigate users’ adoption of blockchain-based games in China. Design/methodology/approach This research applied existing technology diffusion theories to develop a research model to examine users’ adoption of blockchain-based games. As a result, a research model with nine research hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 210 blockchain-based games users. Structural equation modeling was applied to analyse the collected data. Findings The results indicated that seven of nine research hypotheses were supported. It was found that trust, perceived usefulness, perceived enjoyment and perceived ease of use were key determinants for users’ behavioural intention to use blockchain-based games. The most influential relationship in the research model appeared to be the effect of perceived usefulness on users’ behavioural intention to use blockchain-based games. However, subjective norms did not have significant positive impacts on users’ behavioural intention to use blockchain-based games. Practical implications The regulatory support from governmental authorities is essential to provide additional legal certainty to build users’ trust in playing blockchain-based games. Blockchain-based games providers should arrange the training program targeted to the general users to enhance their understanding of the key features associated with blockchain-based games. Blockchain-based games developers should come up with good design solutions to maximize user enjoyment with blockchain-based games by considering additional entertainment elements. Originality/value To the best of the authors’ knowledge, this study is first of its kind in investigating the adoption of blockchain-based games from users’ perspectives. This study contributes to the existing literature on the adoption of blockchain technology.

M-Commerce Security

2021 ◽  
Vol 15 (4) ◽  
pp. 79-97
Author(s):  
Ahmed Elmorshidy
Keyword(s):  
Mobile Applications ◽  
Structural Equation ◽  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Net Benefit ◽  
Factors Affecting

This paper aims to evaluate the factors affecting mobile applications used to access and control security cameras at home and office. Survey data from 397 mobile applications users in Southern California, USA were collected to test the proposed research model and hypotheses through structural equation modeling. This study finds that system quality, information quality, and service quality of mobile applications have a positive effect on the perceived usefulness and perceived ease of use of these applications and introduce several net benefit represented in increased control of users' security, increased convenience and flexibility and privacy when using those mobile applications for access their security cameras at both home and office. There is a lack of researches in this area which makes this study among the first to attempts to fill this gap by empirically investigating the factors affecting mobile applications of home and office security cameras as well as the benefits they introduce to uses.

scholarly journals Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis

2016 ◽  
Vol 6 (1) ◽  
pp. 17-24 ◽  
Author(s):  
İkram Daştan ◽  
Cem Gürler
Keyword(s):  
Structural Equation ◽  
Trading Volume ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Perceived Ease Of Use ◽  
Payment Systems ◽  
Factors Affecting ◽  
Perceived Trust

The world witnessed a rapid growth in the e-commerce in the recent years. Widespread use of mobile devices in the e-commerce has a role in this augmentation. Associated with growth of trading volume and the introduction of new devices, new products and solutions emerge and they diversify concerning online payments. Consumer attitudes and behaviors may change according to these developments. The purpose of this study is to investigate the factors effecting adoption of mobile payment systems by the consumer. 225 individuals were surveyed online through convenience sampling method. A research model was developed and proposed relationships were tested using structural equation modeling. The empirical findings point out that perceived trust, perceived mobility and attitudes positively affect the adoption of MPS; perceived usefulness and perceived ease of use have no effect on adoption of MPS. Furthermore perceived reputation positively related to perceived trust and finally environmental risk negatively related to perceived trust.

scholarly journals An Internet Survey with the Technology Acceptance Model for Deploying Masks in Combatting COVID-19: Structural Equation Modeling Analysis of My Health Bank in Taiwan (Preprint)

2021 ◽  
Author(s):  
Wen-Hsun Tsai ◽  
Chi-Ming Chu ◽  
Yi-Syuan Wu ◽  
Chia-Shiang Cheng ◽  
Ming-Hao Kuo ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Privacy And Security ◽  
Factors Affecting ◽  
Acceptance Model

BACKGROUND In the medical industry, the successful completion of many medical practices often relies on information collection and analysis. Government agencies and medical institutions encourage people to use medical information technology (MIT) to manage their conditions and to promote personal health. In 2014, Taiwan established the first electronic personal health record (PHR) platform, My Health Bank (MHB), allowing people to access and manage their PHRs at any time. Facing the coronavirus disease 2019 (COVID-19) pandemic in 2020, Taiwan has used MIT to effectively prevent the spread of COVID-19 and completed various prevention measures before the outbreak. Using MHB to purchase masks in an efficient and orderly way and thoroughly implement personal protection efforts is highly important. OBJECTIVE (1) To understand the people’s intention to use the electronic PHR platform MHB. (2) To investigate the factors affecting people’s intention to use MHB. METHODS From March 31, 2014 to April 9, 2014, in a promotion via email and Facebook, subjects were asked to fill out the structured questionnaire after watching an introductory video about MHB on YouTube. The questionnaire included seven dimensions: Perceived usefulness, Perceived ease of use, Health literacy, Privacy and security, Computer self-efficacy, Attitude toward use, and Behavioral intention to use. Each question was measured on a 5-point Likert scale from “strongly disagree” (1 point) to “strongly agree” (5 points). Descriptive statistics and structural equation analysis were performed using IBM SPSS Statistics 21 and AMOS 21. RESULTS This study collected 350 valid questionnaires (female: 219/350, 62.6%; age: 21-30 years: 238/350, 68.0%; education level: university: 228/350, 65.1%; occupation: student: 195/350, 56.6; average monthly income: < NT $30,000: 230/350, 65.7%; residence: northern Taiwan: 236/350, 67.4%; and perceived health status: good: 171/350, 48.9%). Four indicators, i.e., chi-squared value/degree of freedom (X2/df) (2.63), goodness-of-fit index (GFI) (0.85), adjusted goodness-of-fit index (AGFI) (0.81), and root mean square error of approximation (RMSEA) (0.07), were calculated. The results showed that the overall fit and fitness of the model were good. Further analysis indicated that the most important factor affecting the behavioral intention to use was the attitude toward use (0.78), followed by perceived ease of use (0.65), perceived usefulness (0.41), health literacy (0.10), and privacy and security (0.07). CONCLUSIONS From the perspective of the populace, this study explored the factors affecting the use of MHB and constructed an interpretation model with a strong goodness of fit. The results of our analysis are consistent with the technology acceptance model. Through the diverse value-added services of MHB, Taiwan's experience in pandemic prevention with smart technology can be helpful for facing future threats of unknown, emerging infectious diseases.

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