We study peer effects on individuals' contributions to a major form of word of mouth—online
reviews. Provided by either consumers or third‐party professionals, online reviews influence …

Customers are increasingly using online reviews in their purchase decision-making
processes. As sellers benefit from displaying several reviews with favorable ratings, many …

This research examines the effect of individualism on online user ratings. We develop a
theory based on expectation disconfirmation theory and prospect theory, and posit that user …

The rise of social media technologies has created new ways to seek and share information
for millions of users worldwide, but also has presented new challenges for libraries in …

Purpose This study explores how egoism and altruism as knowledge sharing motivations
influence consumers' electronic word of mouth (eWOM) intentions on food platforms. It also …

Electronic word-of-mouth (eWOM) is a prominent source of information that significantly
influences consumer purchase decisions. Recent literature has extensively explored the …

Current online review systems widely suffer from rating biases. Biased ratings can lead to
violations of customer trust and failures of business intelligence. Hence, both practitioners …

In recent years, there has been increasing attention to how consumers' roles and behaviors
can shape and affect social media based brand communities. In this study the authors …

We propose a novel supervised learning approach for political ideology prediction (PIP) that
is capable of predicting out-of-distribution inputs. This problem is motivated by the fact that …

Der vorliegende Beitrag hat sich zum Ziel gesetzt, den aktuellen Hype um „Big Data “und
verhaltensbezogene Daten kritisch zu hinterfragen–insbesondere hinsichtlich der Eignung …