Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran

Hossein, Damghanian; Zarei, Azim; Kojuri, Mohammad Ali Siahsarani

doi:10.1080/15332861.2016.1191052

Cited by 91 publications

(83 citation statements)

References 129 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Researchers have been studying Risk Factors since 1960, which studies how to know the relationships of human behavior [22]. The perceived risk is a hope that becomes a loss that occurs when people decide to take an action [23], [24].…”

Section: ) Perceived Riskmentioning

confidence: 99%

“…The perceived risk is a hope that becomes a loss that occurs when people decide to take an action [23], [24]. In a study conducted by Damghanian [22], on consumer behavior, it is often said that risks have a sense of multidimensional structure and consumers believe in the possible negative consequences of use. According to Lee and Ryu [25], [26], Risk has an important role and proposes several indicators related to elements of risk such as security, finances, social, time.…”

Section: ) Perceived Riskmentioning

confidence: 99%

See 1 more Smart Citation

Development and Validation of Instruments Adoption FinTech services in Indonesia (Perspective of Trust and Risk)

Fernando

Surjandy

Meyliana

et al. 2018

2018 International Conference on Sustainable Information Engineering and Technology (SIET)

View full text Add to dashboard Cite

This study explores the influence of trust and risk in the use of FinTech in Indonesian society. This exploration is based on findings from previous studies that suggest that trust and risk are important aspects in considering the use of FinTech. The focus of this research is to develop and validate the research instruments that will be used next. The basic theory of model development uses the theory of Technology Acceptance Model (TAM) developed by Davis. The models and instruments developed will be through pilot studies involving 133 communities as respondents. This Study is quantitative research and data obtained were analyzed using smart pls v3.0. This analysis is conducted to ensure the level of reliability and validity of the instrument. The results of this analysis find 31 instruments that are stated reliable and validity. So it can be used for collecting data from a survey in accordance with the research.

show abstract

Section: ) Perceived Riskmentioning

confidence: 99%

Section: ) Perceived Riskmentioning

confidence: 99%

Development and Validation of Instruments Adoption FinTech services in Indonesia (Perspective of Trust and Risk)

Fernando

Surjandy

Meyliana

et al. 2018

2018 International Conference on Sustainable Information Engineering and Technology (SIET)

View full text Add to dashboard Cite

show abstract

“…Therefore, not only should the user have the perception that the technology is useful and easy but also the technology characteristics should match with the required job tasks. Furthermore, the previous literature showed that perceived security of information [30][31][32] and perceived trust [33][34][35] were the biggest hurdles for users adopting innovative information systems. Security of information is the main reason for the slow pace of BDA adoption [36,37].…”

mentioning

confidence: 99%

Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change

et al. 2019

View full text Add to dashboard Cite

IntroductionBig data analytics (BDA) is a course of action to examine large and complex data sets (i.e., big data) and select veiled information that can help organizations with efficient decision making [1]. The volume of data related to healthcare organizations has grown dramatically in past years and is expected to increase in coming years due to the use of innovative technologies [2]. Meanwhile, healthcare reimbursement methods are changing, and pay for performance is an emerging factor in the current healthcare environment. Recently, healthcare organizations have only focused on profit and have neglected to acquire the essential tools, infrastructure, and technologies for effective control of big data to ensure citizens' health care [3,4]. Big data incorporates features such as variety, velocity, and veracity. BDA techniques can be applied to the massive amount of prevailing patient-related medical information to analyze outcomes for improvement of the healthcare sector [5,6]. Using BDA in the healthcare sector will help inform each physician of the medical histories of individuals and the population and enable appropriate Abstract Big data analytics is gaining substantial attention due to its innovative contribution to decision making and strategic development across the healthcare field. Therefore, this study explored the adoption mechanism of big data analytics in healthcare organizations to inspect elements correlated to behavioral intention using the technology acceptance model and task-technology fit paradigm. Using a survey questionnaire, we analyzed 224 valid responses in AMOS v21 to test the hypotheses. Our results posit that the credentials of the technology acceptance model together with task-technology fit contribute substantially to the enhancement of behavioral intentions to use the big data analytics system in healthcare, ultimately leading towards actual use. Meanwhile, trust in and security of the information system also positively influenced the behavioral intention for use. Employee resistance to change is a key factor underlying failure of the innovative system in organizations and has been proven in this study to negatively moderate the relationship between intention to use and actual use of big data analytics in healthcare. Our results can be implemented by healthcare organizations to develop an understanding of the implementation of big data analytics and to promote psychological empowerment of employees to accept this innovative system. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

show abstract

“…Risiko keamanan pada penggunaan uang elektronik dapat berupa pencurian, duplikat dari kartu asli, perubahan data atau aplikasi yang pada kartu asli, dan sebagainya. Keamanan diukur melalui tiga dimensi menurut Damghanian et al (2016) yaitu credit, reliability, dan privacy. Credit merujuk pada akurasi layanan dan ketepatan waktu layanan, reliability merujuk pada keamanan saldo saat bertransaksi dan keamanan uang yang tersimpan, sementara privacy merujuk pada tidak khawatir memberikan informasi dan kepercayaan informasi dilindungi.…”

Section: Persepsi Keamananunclassified

Jurnal Ekbis Vol 18 No 2 Desember 2019

Agha¹

2020

Ekon & Bisnis

View full text Add to dashboard Cite

Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran

Cited by 91 publications

References 129 publications

Development and Validation of Instruments Adoption FinTech services in Indonesia (Perspective of Trust and Risk)

Development and Validation of Instruments Adoption FinTech services in Indonesia (Perspective of Trust and Risk)

Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change

Jurnal Ekbis Vol 18 No 2 Desember 2019

Contact Info

Product

Resources

About