Accounting Info Systems (SIG ASYS)

Paper Type

ERF

Paper Number

1294

Description

The widespread use of mobile technology has motivated Blockchain developers and users to embrace and adopt mobile blockchain technologies. Enabling users to utilize mobile devices for accessing blockchain services and manage digital assets that offer numerous benefits. However, risks regarding the system use and users’ concerns about their information security and privacy also arise. This paper investigates how blockchain apps’ perceived security and privacy levels affect the ratings of the app on online platforms. A dataset of 146 mobile apps that use Blockchain technology was collected to conduct a sentiment analysis for user reviews. Our results demonstrated that the perceived concerns of information security and privacy positively are associated with negative ratings of apps. We also investigate these effects by differentiating the apps according to the risk level of the app and showed that the magnitude of the effect is greater for high-risk apps.

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Aug 9th, 12:00 AM

Exploring the Effects of Information Security & Privacy on Blockchain Mobile Applications Rating: Text Analytics Approach

The widespread use of mobile technology has motivated Blockchain developers and users to embrace and adopt mobile blockchain technologies. Enabling users to utilize mobile devices for accessing blockchain services and manage digital assets that offer numerous benefits. However, risks regarding the system use and users’ concerns about their information security and privacy also arise. This paper investigates how blockchain apps’ perceived security and privacy levels affect the ratings of the app on online platforms. A dataset of 146 mobile apps that use Blockchain technology was collected to conduct a sentiment analysis for user reviews. Our results demonstrated that the perceived concerns of information security and privacy positively are associated with negative ratings of apps. We also investigate these effects by differentiating the apps according to the risk level of the app and showed that the magnitude of the effect is greater for high-risk apps.