Collection Management Model for Late Payment Control in the Basic Education Institutions

Delinquency in basic education institutions represents a significant challenge to their financial and operational sustainability. This study proposes a collection management model designed to reduce payment default rates through comprehensive strategies that combine technological tools, empathetic communication, and a preventive approach. The model is structured into three phases: diagnosis, implementation, and monitoring, each addressing key aspects such as debtor segmentation, automated reminders, and continuous training of administrative staff. The results highlight the effectiveness of mobile applications and psychological strategies in payment recovery. However, challenges related to technological dependence and resources required for implementation were identified. It is concluded that this model not only improves financial collection but also fosters trustful relationships between institutions and families, contributing to the strengthening of the educational environment.

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Publication Details

Journal
Edu - Tech Enterprise
Published
2024-12-30
DOI
https://doi.org/10.71459/edutech202412
Citations
1
Primary Topic
Blockchain Technology in Education and Learning
Type
article
Field-Weighted Citation Impact
0.78
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article

Collection Management Model for Late Payment Control in the Basic Education Institutions

Rafael Romero-Carazas
1 citations
Edu - Tech Enterprise
Blockchain Technology in Education and Learning
0.78
article

Collection Management Model for Late Payment Control in the Basic Education Institutions

Rafael Romero-Carazas
article en
1 citations

Abstract

Delinquency in basic education institutions represents a significant challenge to their financial and operational sustainability. This study proposes a collection management model designed to reduce payment default rates through comprehensive strategies that combine technological tools, empathetic communication, and a preventive approach. The model is structured into three phases: diagnosis, implementation, and monitoring, each addressing key aspects such as debtor segmentation, automated reminders, and continuous training of administrative staff. The results highlight the effectiveness of mobile applications and psychological strategies in payment recovery. However, challenges related to technological dependence and resources required for implementation were identified. It is concluded that this model not only improves financial collection but also fosters trustful relationships between institutions and families, contributing to the strengthening of the educational environment.

Edu - Tech EnterpriseVol. 2
Instituto Tecnológico de Querétaro (MX)
Openalex Percentile: Top 17%
Blockchain Technology in Education and Learning
0.78
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Collection Management Model for Late Payment Control in the Basic Education Institutions — Rafael Romero-Carazas · Edu - Tech Enterprise (2024) | TGRS Research Map | TGRS