Reputation, Risk, and Trust on User Adoption of Internet Search Engines: The Case of DuckDuckGo

TL;DR

This study examines how factors like reputation, risk, and trust influence user adoption of DuckDuckGo, highlighting the importance of performance expectancy and reputation in users' decision-making process.

Contribution

It integrates the UTAUT model with reputation, risk, and trust factors and empirically validates their impact on DuckDuckGo adoption using PLS-SEM analysis.

Findings

Performance Expectancy is the most influential factor.

Firm Reputation significantly affects user adoption.

Initial Trust and Social Influence also play key roles.

Abstract

This paper investigates the determinants of end-user adoption of the DuckDuckGo search engine coupling the standard UTAUT model with factors to reflect reputation, risk, and trust. An experimental approach was taken to validate our model, where participants were exposed to the DuckDuckGo product using a vignette. Subsequently, answering questions on their perception of the technology. The data was analyzed using the partial least squares-structural equation modeling (PLS-SEM) approach. From the nine distinct factors studied, we found that 'Performance Expectancy' played the greatest role in user decisions on adoption, followed by 'Firm Reputation', 'Initial Trust in Technology', 'Social Influence', and an individual's 'Disposition to Trust'. We conclude by exploring how these findings can explain DuckDuckGo's rising prominence as a search engine.