rian.ie - Browse

Institutions | About Us | Help | Gaeilge

0 1000

Home
Browse
Advanced Search
Search History
Marked List
Statistics

A A A

Author(s)
Institution
Publication types
Funder
Year

Limited By:	Subject = trustworthiness;

3 items found

Sort by

Order

per page

Displaying Results 1 - 3 of 3 on page 1 of 1

Marked Mark

A trust label system for communicating trust in cloud services (2017)

Emeakaroha, Vincent C.; Fatema, Kaniz; van der Werff, Lisa; Healy, Philip; Lynn, Theo; ...

A trust label system for communicating trust in cloud services (2017)

Emeakaroha, Vincent C.; Fatema, Kaniz; van der Werff, Lisa; Healy, Philip; Lynn, Theo; Morrison, John P.

Abstract:

Cloud computing is rapidly changing the digital service landscape. A proliferation of Cloud providers has emerged, increasing the difficulty of consumer decisions. Trust issues have been identified as a factor holding back Cloud adoption. The risks and challenges inherent in the adoption of Cloud services are well recognised in the computing literature. In conjunction with these risks, the relative novelty of the online environment as a context for the provision of business services can increase consumer perceptions of uncertainty. This uncertainty is worsened in a Cloud context due to the lack of transparency, from the consumer perspective, into the service types, operational conditions and the quality of service offered by the diverse providers. Previous approaches failed to provide an appropriate medium for communicating trust and trustworthiness in Clouds. A new strategy is required to improve consumer confidence and trust in Cloud providers. This paper presents the operationali...

http://hdl.handle.net/10468/8405

Marked Mark

Building consumer trust in the cloud: an experimental analysis of the cloud trust label approach (2019)

van der Werff, Lisa; Fox, Grace; Masevic, Ieva; Emeakaroha, Vincent C.; Morrison, John ...

Building consumer trust in the cloud: an experimental analysis of the cloud trust label approach (2019)

van der Werff, Lisa; Fox, Grace; Masevic, Ieva; Emeakaroha, Vincent C.; Morrison, John P.; Lynn, Theo

Abstract:

The lack of transparency surrounding cloud service provision makes it difficult for consumers to make knowledge based purchasing decisions. As a result, consumer trust has become a major impediment to cloud computing adoption. Cloud Trust Labels represent a means of communicating relevant service and security information to potential customers on the cloud service provided, thereby facilitating informed decision making. This research investigates the potential of a Cloud Trust Label system to overcome the trust barrier. Specifically, it examines the impact of a Cloud Trust Label on consumer perceptions of a service and cloud service provider trustworthiness and trust in the cloud service and cloud service provider. An experimental study was carried out with a sample of 227 business decision makers with data collected before exposure to the label to examine initial perceptions and after exposure to the label to examine any change in perceptions and attitudes. As hypothesised, the res...

http://hdl.handle.net/10468/9084

Marked Mark

Trustworthy health-related tweets on social media in Saudi Arabia: tweet metadata analysis (2019)

Albalawi, Yahya; Nikolov, Nikola S.; Buckley, Jim

Trustworthy health-related tweets on social media in Saudi Arabia: tweet metadata analysis (2019)

Albalawi, Yahya; Nikolov, Nikola S.; Buckley, Jim

Abstract:

Background: Social media platforms play a vital role in the dissemination of health information. However, evidence suggests that a high proportion of Twitter posts (ie, tweets) are not necessarily accurate, and many studies suggest that tweets do not need to be accurate, or at least evidence based, to receive traction. This is a dangerous combination in the sphere of health information. Objective: The first objective of this study is to examine health-related tweets originating from Saudi Arabia in terms of their accuracy. The second objective is to find factors that relate to the accuracy and dissemination of these tweets, thereby enabling the identification of ways to enhance the dissemination of accurate tweets. The initial findings from this study and methodological improvements will then be employed in a larger-scale study that will address these issues in more detail. Methods: A health lexicon was used to extract health-related tweets using the Twitter application programming ...

http://hdl.handle.net/10344/8173