Extending Technology Continuance Theory to Mobile Stock Investment Applications: Evidence from Low-Income and Low Financial Literacy Users

Description

This dataset supports the study examining continuance usage behavior of mobile stock investment applications among low-income and low financial literacy users in Central Java, Indonesia. The data were collected through a structured questionnaire distributed to 180 active users of mobile investment applications. The dataset includes responses for key constructs derived from the Theory of Planned Behavior and the Information Systems Success Model, including Quality of Information, Attitude, Subjective Norms, Perceived Behavioral Control, Intention to Use, and Continuance Usage. All variables were measured using multi-item Likert-scale indicators. To ensure privacy and ethical compliance, the dataset has been anonymized and contains no personally identifiable information. In addition to the dataset, the research questionnaire used for data collection is also provided. This dataset enables replication, validation, and further exploration of continuance behavior in high-risk fintech contexts.

Categories

Funders

• Binus University

  Jakarta

Licence