The Multidimensionality of Trust and User Acceptance of Location Based Services Apps used on ICT Mobile Devices
Creators: name: Bryant, Michael John
Publisher: name: Southern Cross University
Year: 2023
Subjects: subject: LBS apps
subject: Multidimensional Trust
subject: User Acceptance
subject: ICT
subject: Information Systems
subject: FOS: Computer and information sciences

description: Trust has been widely theorised to encompass multidimensional concepts. However, a predominant focus has been on measuring trust and acceptance of technologies through a unidimensional lens. Therefore, directly speaking to new research space, the current study aims to examine and understand the influence multidimensional trust factors have on Location Based Services (LBS) app adoption and usage. The Trust and Technology Acceptance Model for Mobile Services (TTAMM) conceptual model, encompassing cognitive, affective, and behavioural trust constructs, provides a theoretical underpinning to address such a crucial research gap.
description: Integrating the study’s qualitative and quantitative data highlighted reliability, privacy, security, honesty and transparency, entering into informal agreements, confidence, and risk taking as the most important multidimensional trust variables. Notwithstanding the ongoing issues of privacy and security with LBS app usage, the results provide novel motivation for app developers and end users to evaluate trust holistically.
description: Structural Equation Modelling (SEM) results supported three trust-based and two usage-based hypotheses. Notably, the path analysis results pointed to a distinct linkage, decision-making, and directional flow between the trust constructs, and ultimate LBS app usage. In the current study, Cognitive Trust recorded a significant relationship with Affective Trust and a strong association between Affective Trust and Behavioural Trust.
description: However, there was no significant relationship between Cognitive Trust and Behavioural Trust, implying in the current study context emotion, not cognition, directly affects the decision-making construct, Behavioural Trust. Measured by the indicator variables of risk taking, informal agreements, and confidence, Behavioural Trust positively predicted the dependent variable Usage Behaviour. These results support the broad view that trust, rather than being viewed as a unidimensional construct, is multidimensional.
description: Critically, from a theoretical perspective, the validated conceptual model offers an original contribution to trust literature, and IS theory. TTAMM will enable researchers to explore further opportunities in trust research. One research stream may include examining the influence multidimensional trust factors have on consumer and commercial smart technologies within the accelerating Internet of Things (IoT) domains. Moreover, LBS apps facilitate the operation of numerous IoT applications. Embedded Artificial Intelligence (AI) features such as Chatbots, virtual assistants, voice activation, and analytical programming assist with various user services, and enquiries.
description: However, with the use of AI within IoT technologies, cybersecurity attacks represent privacy and security threats to user data. Thus, speaking to the growth of IoT adoption, critical elements of multidimensional trust identified in this study come into sharp focus for future research.