<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Are Indonesian construction companies financially distressed? A prediction using artificial neural networks</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/2MZ443</dcterms:identifier><dcterms:creator>Kristanti, Farida Titik</dcterms:creator><dcterms:creator>Safriza, Zahra</dcterms:creator><dcterms:creator>Salim, Dwi Fitrizal</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2024-03-28</dcterms:issued><dcterms:modified>2024-03-28T06:14:05Z</dcterms:modified><dcterms:description>Journal Scopus</dcterms:description><dcterms:subject>Business and Management</dcterms:subject><dcterms:subject>ANN, distress, financial, model, prediction, financial statements, balance sheet</dcterms:subject><dcterms:contributor>Salim, Dwi Fitrizal</dcterms:contributor><dcterms:dateSubmitted>2024-03-28</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>