Propagation of online consumer perceived negativity: Quantifying the effect of supply chain underperformance on passenger car sales
Abstract
The paper presents a text analytics framework that analyses online reviews to explore how consumer-perceived negativity corresponding to the supply chain propagates over time and how it affects car sales. In particular, the framework integrates aspect-level sentiment analysis using SentiWordNet, time-series decomposition, and bias-corrected least square dummy variable (LSDVc) – a panel data estimator. The framework facilitates the business...
Paper Details
Title
Propagation of online consumer perceived negativity: Quantifying the effect of supply chain underperformance on passenger car sales
Published Date
Aug 1, 2021
Journal
Volume
132
Pages
102 - 114
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