---
title: Predictive Analytics for Decision-Making
url: https://www.ml-quant.com/papers/repec/taf-euract-v-32-y-2023-i-3-p-637-662/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:taf:euract:v:32:y:2023:i:3:p:637-662
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F09638180.2022.2138934%3Bh%3Drepec%3Ataf%3Aeuract%3Av%3A32%3Ay%3A2023%3Ai%3A3%3Ap%3A637-662
featured: 2023-09-14
citations: unknown
topic: Other
---


# Predictive Analytics for Decision-Making

Research indicates that managers' operational decisions are influenced by the type of data used in predictive analytics tools and trend consistency, with a tendency to disregard predictions from social media data revealing unexpected negative trends.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F09638180.2022.2138934%3Bh%3Drepec%3Ataf%3Aeuract%3Av%3A32%3Ay%3A2023%3Ai%3A3%3Ap%3A637-662
- Identifier: RePEc:taf:euract:v:32:y:2023:i:3:p:637-662
- Released: 2023-09-14
- First featured: Quant Letter No. 15 (2023-09-14): https://www.ml-quant.com/issues/2023-09-14/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

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