THE INFLUENCE OF CENTRAL CONTENT AND
PERIPHERAL CUE FACTORS ON A CONSUMER’S
TRUST AMONG DIFFERENT TYPES OF PERSONALITY
AND MOOD
Minke Mennen
MSc. Marketing Intelligence
Conceptual model
Central content Lexical Complexity Two-sidedness Peripheral cues Aggregated rating score volume Review helpfulness volume Reviewer’s expertise Real name exposureMethod
• Online survey via preference lab
• Choice based conjoint analysis
• 13 choice sets • Moderators
• BFI-10 (Ramstedt & John, 2007) • 4 items (Brunner, 2009)
Attributes and levels
Aggregated rating score volume Real name exposure
Reviewer’s expertise Lexical complexity
Two-sidedness
Characteristics of the sample
87.9% is in a positve mood
43.1% is younger than 30 years
81.6% is high educated
Relative importance
Aggregated rating score volume Real name exposure
Reviewer's expertise Lexical complexity Two-sidedness
Main effects
Hypothesis Main effect
H1: Lexical complexity has a negative effect on a consumer’s trust ∩ H2: Two-sidedness of an online review has a positive effect on a consumer’s trust ✔
H3: Higher aggregated rating score volume has a positive effect on a consumer’s trust ✔
H4: Higher review helpfulness volume has a positive effect on a consumer’s trust ✔
H5: Real name exposure has a positive effect on a consumer’s trust ✔
Moderating effects
• No moderating effects were found for mood and personality
• Used for segment description
• Low variance in moderator personality trait
Model BIC CAIC
Segments
• Information criteria
• Interpretability
Observational learners
• Largest segment (42.42%)
• Largest relative amount of females (54.77%)
• Largest group of negative mood (15.81%)
Text critics
• Segment size = 28.95%
• Most evenly divided in gender (female = 51.72%)
• Relatively older segment
• MBO & HBO most in this segment
• Highest amount of positive mood (92.97%)
Independent consumers
• Smallest segment (28.63%)
• Youngest segment
• University most in this segment
• Largest group earns below average (47.79%)
Theoretical implications
• Inverted relationship for lexical complexity
• Peripheral cues
Theoretical implications
Managerial implications
• Central content factors are very important
Managerial implications
• Peripheral cue factors