Exploring fintech lending continuance intention among Gen Z: a stimulus–organism–response approach to trust and perceived risk

This study examines Generation Z’s continuance intention toward fintech lending platforms in Indonesia using the stimulus–organism–response framework. It investigates how external stimuli—facilitating conditions, government support, effort expectancy, performance expectancy, and social influence—are associated with organismic states (trust and perceived risk), and how these states relate to continuance intention. Following response-quality screening, survey data from 210 fintech lending users were analyzed using partial least squares structural equation modeling. The study applies the stimulus–organism–response framework to fintech lending in the Indonesian regulatory context and examines the relative explanatory roles of trust and perceived risk as organismic states, with perceived risk operationalized as a second-order construct comprising financial, security, legal, and operational risk dimensions. The findings reveal a pronounced asymmetry between these two organismic pathways. Trust emerged as the predominant organismic pathway, showing the strongest association with continuance intention, and was positively associated with government support, social influence, and effort expectancy. Perceived risk remained relevant but showed a substantially weaker negative association with continuance intention and comparatively limited explanatory power within the model. For perceived risk, only social influence showed a negative association.

Authors

Institutions

Publication Details

Journal
International Journal of Information Management Data Insights
Published
2026-10-31
DOI
https://doi.org/10.1016/j.jjimei.2026.100455
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring fintech lending continuance intention among Gen Z: a stimulus–organism–response approach to trust and perceived risk

Aswanti Setyawati, Lestari Agusalim, Nurul Aisyah Rachmawati, Nik Hadiyan Nik Azman et al.
International Journal of Information Management Data Insights
Technology Adoption and User Behaviour
article

Exploring fintech lending continuance intention among Gen Z: a stimulus–organism–response approach to trust and perceived risk

Aswanti Setyawati, Lestari Agusalim, Nurul Aisyah Rachmawati, Nik Hadiyan Nik Azman, Zubir Azhar, Rizka Ramayanti
article en

Abstract

This study examines Generation Z’s continuance intention toward fintech lending platforms in Indonesia using the stimulus–organism–response framework. It investigates how external stimuli—facilitating conditions, government support, effort expectancy, performance expectancy, and social influence—are associated with organismic states (trust and perceived risk), and how these states relate to continuance intention. Following response-quality screening, survey data from 210 fintech lending users were analyzed using partial least squares structural equation modeling. The study applies the stimulus–organism–response framework to fintech lending in the Indonesian regulatory context and examines the relative explanatory roles of trust and perceived risk as organismic states, with perceived risk operationalized as a second-order construct comprising financial, security, legal, and operational risk dimensions. The findings reveal a pronounced asymmetry between these two organismic pathways. Trust emerged as the predominant organismic pathway, showing the strongest association with continuance intention, and was positively associated with government support, social influence, and effort expectancy. Perceived risk remained relevant but showed a substantially weaker negative association with continuance intention and comparatively limited explanatory power within the model. For perceived risk, only social influence showed a negative association.

International Journal of Information Management Data InsightsVol. 6(2)
Universiti Sains Malaysia (MY), Institute of Transportation and Logistic Trisakti (ID), Trilogi University (ID)
Openalex Percentile: Top 7%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon