Unlocking Market Opportunities: Analyzing Generation Z’s Intention to Use Riliv for Overcoming Mental Health Issues Caused by Parent-Child Relations Problems Through Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM)

Anddrew Richmond Thezo, Moch. Riyadh Rizky Adam and Munawaroh Zainal ()
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Anddrew Richmond Thezo: Swiss German University
Moch. Riyadh Rizky Adam: Swiss German University
Munawaroh Zainal: Swiss German University

A chapter in Proceedings of the 5th International Conference on Global Innovation and Trends in Economy 2024 (INCOGITE 2024), 2024, pp 409-422 from Springer

Abstract: Abstract Mental health consultation has transformed virtually through digital applications. Although several prior studies have focused on mental health issues, there are limited empirical studies that focus on certain demographic intentions in using Digital Mental Health Services in and about the Mental Health Company provider in Indonesia. This study aims to analyze Generation Z’s intention to use Riliv as a Digital Mental Health Service to overcome parent-child relationship problems using the combined framework of Theory Planned Behavior (TPB) and Technology Acceptance Model (TAM) to evaluate the significant influencing factors to use Riliv. Data were collected from an online survey questionnaire completed by 304 valid respondents aged 18-25, all belonging to Generation Z. The data were analyzed using Structural Equation Modelling (SEM) via AMOS. The study revealed a significant influence of Perceived Ease of Use on Perceived usefulness and Perceived Usefulness on Attitude. Furthermore, Attitude, Subjective Norms, and Perceived Behavior Control (p 0.05) had no direct significant influence on Generation Z’s Intention to Use. The findings of this study might be useful to Riliv as the service provider to develop market strategies and mental-health area researchers in Indonesia.

Keywords: Mental Health; Digital Mental Health Service; Generation Z; Indonesia; Theory of Planned Behavior (TPB); Technology Acceptance Model (TAM) (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-585-0_29

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