Quantitative Modeling of Entrepreneurial Persistence After Business Failure Using PLS-SEM

Entrepreneurial failure is a common phenomenon, particularly among first-time business founders. However, such failure can serve as a catalyst for learning and future business engagement. This study aims to model the key psychological and experiential factors influencing entrepreneurial persistence following business venture failure. A quantitative research design was employed, involving 300 respondents who had previously experienced entrepreneurial failure. Data were collected using structured questionnaires and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that entrepreneurial self-efficacy and internal locus of control significantly enhance both perceived learning from failure and recovery capabilities. Furthermore, perceived learning and recovery capabilities positively influence the continuance of entrepreneurial engagement and recognition of new opportunities. These findings provide a data-driven foundation for understanding resilience in entrepreneurial behavior and offer insights for designing support systems to encourage re-engagement among failed entrepreneurs in dynamic business environments.

Authors

Institutions

Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/iccit65724.2025.11167548
Primary Topic
Firm Innovation and Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Modeling of Entrepreneurial Persistence After Business Failure Using PLS-SEM

Oscar Jayanagara, Dwi Julianingsih, Chua Toh Hua, Torrey Dharmawan Tjandra
Firm Innovation and Growth
article

Quantitative Modeling of Entrepreneurial Persistence After Business Failure Using PLS-SEM

Oscar Jayanagara, Dwi Julianingsih, Chua Toh Hua, Torrey Dharmawan Tjandra
article en

Abstract

Entrepreneurial failure is a common phenomenon, particularly among first-time business founders. However, such failure can serve as a catalyst for learning and future business engagement. This study aims to model the key psychological and experiential factors influencing entrepreneurial persistence following business venture failure. A quantitative research design was employed, involving 300 respondents who had previously experienced entrepreneurial failure. Data were collected using structured questionnaires and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that entrepreneurial self-efficacy and internal locus of control significantly enhance both perceived learning from failure and recovery capabilities. Furthermore, perceived learning and recovery capabilities positively influence the continuance of entrepreneurial engagement and recognition of new opportunities. These findings provide a data-driven foundation for understanding resilience in entrepreneurial behavior and offer insights for designing support systems to encourage re-engagement among failed entrepreneurs in dynamic business environments.

Pelita Harapan University (ID), Mount Elizabeth Novena Hospital (SG), Universitas Muhammadiyah Tangerang (ID)
Openalex Percentile: Top 65%
Firm Innovation and Growth
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.