Embedding a Data-Driven Decision-Making Work Culture in a Social Housing Environment

Srinidhi Karthikeyan, Takao Maruyama, Sankar Sivarajah

2024

Abstract

This paper explores the issue of delayed rent payments in social housing in the United Kingdom and its impact on tenants and housing providers. Our approach is to use machine learning algorithms to analyse payment patterns and identify tenants who may be at risk of falling behind on rent payments. By doing this, we aim to equip housing providers with the necessary tools to intervene early and maintain consistent tenancies. We have conducted research using machine learning models such as decision trees and random forests to address this issue. The paper emphasises the potential benefits of Explainable AI, which can help build trust in data-driven decision-making and AI among employees unfamiliar with AI and machine learning.

Paper Citation

in Harvard Style

Karthikeyan S., Maruyama T. and Sivarajah S. (2024). Embedding a Data-Driven Decision-Making Work Culture in a Social Housing Environment. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 807-811. DOI: 10.5220/0012700700003690

in Bibtex Style

@conference{iceis24,
author={Srinidhi Karthikeyan and Takao Maruyama and Sankar Sivarajah},
title={Embedding a Data-Driven Decision-Making Work Culture in a Social Housing Environment},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={807-811},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012700700003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Embedding a Data-Driven Decision-Making Work Culture in a Social Housing Environment
SN - 978-989-758-692-7
AU - Karthikeyan S.
AU - Maruyama T.
AU - Sivarajah S.
PY - 2024
SP - 807
EP - 811
DO - 10.5220/0012700700003690
PB - SciTePress