Exploring the Relationship between the Perceived Risk to Cyber Security and the Behavioral Intention to Technology Acceptance and Sustainable Use for Promoting Personal Information Security : focusing on Involvement, Protection Motivation, and Intention to Payment

2014 ◽  
Vol 14 (2) ◽  
Author(s):  
Hyung-Jin Woo
Keyword(s):  
Information Security ◽  
Technology Acceptance ◽  
Cyber Security ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Personal Information ◽  
Sustainable Use ◽  
Protection Motivation ◽  
The Relationship

Mobile Cyber Information Leakage

2019 ◽  
pp. 212-232
Author(s):  
Hongbo Lv ◽  
Zhiying Zhou
Keyword(s):  
Cyber Security ◽  
Personal Information ◽  
Information Leakage ◽  
Economic Cost ◽  
Information Resources ◽  
Social Aspects ◽  
Information Awareness ◽  
Overall Evaluation ◽  
The Relationship ◽  
Information Leak

With the wide use of smartphones, mobile cyber has become an indispensable part of our lives. While smartphones are used almost every aspect of our lives, awareness of personal information protection is underdeveloped, and information leak has become one particular problem on mobile cyber. At the same time, personal information resources have become more valuable than ever. This chapter investigates users' attitudes toward cyber information leakage and methods to protect personal information. The software SPSS 19 was used to analysis the relationship among cyber environment, applicability and practicability of protection methods, economic cost, and overall evaluation (satisfaction). A suggestion that may promote personal information awareness and promote cyber security from technical, legal, and social aspects is also provided.

scholarly journals Determinants of the Acceptance of Mobile Payment Systems by E-Merchants

2022 ◽  
Vol 20 (1) ◽  
pp. 1-23
Author(s):  
Daniel Możdżyński ◽  
Wojciech Cellary
Keyword(s):  
Behavioral Intention ◽  
Perceived Risk ◽  
Behavioral Intentions ◽  
Payment System ◽  
Mobile Payment ◽  
Payment Systems ◽  
Intention To Adopt ◽  
Business Units ◽  
On Line ◽  
The Relationship

To be effectively deployed, a mobile payment (m-payment) system must be provided by e-merchants and accepted by e-consumers. Although the problem of acceptance of m-payment systems by e-consumers has been widely researched, there are few studies about what actually motivates e-merchants to adopt and deploy these systems in their businesses in the first place. The goal of this research was to discover the behavioral intentions of e-merchants to adopt and deploy an m-payment system. The interviews approach was applied to 347 e-merchants randomly selected from among the whole population of 47,457 independent business units selling goods on-line in Poland. The PLS-SEM method was applied to determine the relationship between variables. Unexpectedly, perceived risk was not a significant factor influencing e-merchants' intention to adopt an m-payment system. The e-merchants’ behavioral intention was significantly impacted by the expected usefulness, perceived ease of deployment and use, perceived cost and price, and hedonic motivation.

scholarly journals Critical Factors Influencing the Behavioral Intention of Consumers towards Mobile Banking in Malaysia

2020 ◽  
Vol 10 (1) ◽  
pp. 5265-5269
Author(s):  
Z. U. Rehman ◽  
F. A. Shaikh
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Negative Relationship ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Critical Factors ◽  
Banking Services

Mobile banking services are widely adopted in developed and developing countries, while their adoption by Malaysian consumers is relatively low. The effective adoption of mobile banking mostly depends on consumers. This study’s objective was to examine the factors that influence Malaysian customers’ behavioral intention toward mobile banking. A detailed literature review was conducted in order to identify the critical factors that affect mobile banking users. The research model was based on the Technology Acceptance Model, investigating the additionally perceived risk. Primary data were collected from 384 generation Y bank customers. Structure equation modeling through Smart-PLS was used for data analysis. Results revealed that consumers’ behavioral intention was significantly and positively influenced by perceived usefulness and ease of use, while a significant negative relationship was found between consumers’ behavioral intention and perceived risk. The findings also revealed a mediating relationship of attitude between perceived usefulness, ease of use and risk, and behavioral intention to use mobile banking. The study provides appropriate guidelines to Malaysian banks and mobile banking application developers for the effective implementation and design of mobile banking services.

scholarly journals Technology acceptance application model on internet banking service in BRI Bank Denpasar Indonesia

2019 ◽  
Vol 6 (4) ◽  
pp. 135-146
Author(s):  
Ari Melaning ◽  
I.G.A.K. Giantari
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Internet Banking ◽  
Sem Analysis ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
The Relationship

This study aims to explain the effect of perceived usefulness, and perceived ease of use, on attitude toward using, and behavioral intention of use at BRI banks Denpasar. The technique used to test the research hypothesis uses Structural Equation Modeling (SEM) analysis techniques using SMARTPLS assistance, using IBM SPSS Statistics 22. The population in this study were all BRI Bank customers in Denpasar who used Internet Banking, the number of samples in this study was 150 respondents, who were taken using Purposive Sampling techniques. The results showed that (1) the attitude toward using had a positive and significant effect on the behavioral intention of use (2) perceived ease of use had a positive and significant effect on attitude toward using (3) perceived usefulness had a positive and significant effect on the behavioral intention of use. (4) perceived ease of use has a positive and significant effect on the behavioral intention of use (5) perceived usefulness has a positive and significant effect on attitude toward using. (6) attitude toward using can mediate the relationship between perceived usefulness to the behavioral intention of use. (7) the attitude toward using can mediate the relationship between perceived ease of use on the behavioral intention of use.

scholarly journals The Intentions to Wear Face Masks and the Differences in Preventive Behaviors between Urban and Rural Areas during COVID-19: An Analysis Based on the Technology Acceptance Model

2021 ◽  
Vol 18 (19) ◽  
pp. 9988
Author(s):  
Bo Zhang ◽  
Zhongjie Li ◽  
Lei Jiang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Positive Impact ◽  
Social Pressure ◽  
Perceived Usefulness ◽  
Extended Model ◽  
Social Image ◽  
Acceptance Model

The SARS-CoV-2 virus first emerged in late 2019 and has since spread quickly throughout China and become a global pandemic. As the situation with COVID-19 has evolved, wearing a face mask in public has grown commonplace. Using the technology acceptance model (TAM) as a foundation, this study introduces three new variables, namely, perceived risk, social pressure, and social image, to establish an extended model for investigating the factors that influence if residents wear masks. A total of 1200 questionnaires were distributed in China, from 1 February to 30 May 2020, through China’s largest online platform. The results indicate the following: 1. Residents’ positive attitude towards mask wearing promotes their behavioral intention to wear masks. 2. Perceived risk, social pressure, and social image have a positive impact on attitude towards mask wearing. 3. The intention to wear masks and attitude were both positively influenced by perceived usefulness. 4. The perceived usefulness is more influential in rural than urban groups, in terms of behavioral intention. This article proposes that public education on the facts related to the coronavirus, the threats posed by the COVID-19 pandemic to health, and the usefulness of face masks in preventing the transmission of COVID-19 could increase residents’ intention to wear a mask.

Radiation Oncologists' Perceptions of Adopting an AI-Assisted Contouring Technology (Preprint)

2021 ◽  
Author(s):  
Huiwen Zhai ◽  
Xin Yang ◽  
Jiaolong Xue ◽  
Christopher Lavender ◽  
Tiantian Ye ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Health Care Professionals ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Chinese Context ◽  
Utaut Model ◽  
Radiation Oncologists ◽  
Facilitating Conditions

BACKGROUND The AI assisted contouring system benefits radiation oncologists in terms of saving time and improving treatment accuracy. There is much hope and fear around such technologies, and it is the fear which can emanate as resistance for health care professionals, leading to the failure of AI projects. OBJECTIVE The objective of this research was to develop and test a model investigating the factors that drive radiation oncologists’ acceptance of the AI contouring technology in the Chinese context. METHODS A model of AI assisted contouring technology acceptance based on the UTAUT model adding variables of perceived risk and resistance was proposed in this study. The model included eight constructs with 29 questionnaire items and 307 respondents completed the questionnaires. Structural equation modeling (SEM) was conducted to evaluate item the model's path effects, significance and fitness. RESULTS The overall fitness indices for the model were evaluated showing the hypothesized model has a good fit to the data. Behavioral intention was significantly affected by performance expectancy (beta=.155; P=.014), social influence (beta=.365; P<.001), and facilitating conditions (beta=.459; P<.001). Effort expectancy (beta=.055; P=.450), perceived risk (beta=.-048; P=.348), and resistance bias (beta=–.020; P=.634) did not significantly affect behavioral intention. CONCLUSIONS The physicians' overall perception of the AI assist technology for radiation contouring were high. Technology resistance among Chinese radiation oncologists was low and not related to behavioral intention. Not all of the factors in Venkatesh's UTAUT model apply to physicians' AI technology adoption in the Chinese context.

scholarly journals User Trust levels and Adoption of Mobile Payment Systems in China: An Empirical Analysis

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110565
Author(s):  
Kamal Abubker Abrahim Sleiman ◽  
Lan Juanli ◽  
Hongzhen Lei ◽  
Ru Liu ◽  
Yuanxin Ouyang ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Success Factors ◽  
Influential Factors ◽  
Ease Of Use ◽  
Mobile Payment ◽  
Daily Lives ◽  
Empirical Survey ◽  
Mobile Payments

The technology acceptance model (TAM) has been regarded as a promising model for understanding technology adoption and can be extended to different situations. Currently, mobile payment services have been widely applied in people’s daily lives in China, and understanding their critical success factors is becoming important. Mobile payments are a complex system, and a large number of factors affect their success. Since mobile payments are directly related to financial issues, their wide adoption relies heavily on people’s trust. We developed a model based on the TAM to investigate the most influential factors in building trust within the mobile payment context. We conducted an empirical survey and 373 samples were collected using a valid questionnaire from the users of the popular payment platforms in China—Alipay and WeChat payment. We found that government monitoring is the most significant factor of customer trust, followed by reputation, and security. Government monitoring directly influenced behavioral intention, was negatively associated with perceived risk and positively affected behavioral intention. Moreover, mobility, subjective norms, usefulness, ease of use, and perceived enjoyment impacts customer behavioral intention.

scholarly journals Evaluating Attractiveness and Perceived Risks

2021 ◽  
Vol 12 (1) ◽  
pp. 1-23
Author(s):  
Mehree Iqbal ◽  
Afrin Rifat ◽  
Nabila Nisha
Keyword(s):  
Behavioral Intention ◽  
Financial Services ◽  
Perceived Risk ◽  
Banking Sector ◽  
Future Directions ◽  
Banking Services ◽  
Perceived Risks ◽  
Services Delivery ◽  
Attractive Option ◽  
The Relationship

Access to green banking services has the potential to improve and promote environmentally friendly practices in banking sector of Bangladesh. Beyond its usefulness for the environment, green banking also benefits the clients by offering new channels of financial services delivery in a convenient and quickly manner. While this is an attractive option, there are a number of perceived risks attached to it. This study aims to examine factors that can influence the attractiveness of green banking services, alongside explaining associated risks for its adoption in Bangladesh. Findings indicate that clients are mostly attracted to green banking services due to its social and task attractiveness. However, perceived risks like financial, time, individual, and cyber risks often hamper this attractiveness. Overall results confirm the relationship between perceived risk and attractiveness and their subsequent influence upon client's behavioral intention towards green banking services. Implications and future directions are discussed as well.

scholarly journals Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

10.2196/16911 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e16911
Author(s):  
Gorkem Akdur ◽  
Mehmet Nafiz Aydin ◽  
Gizdem Akdur
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Health ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Intention To Use ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Background Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

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