toyota recall crisis: predicting corporate reputation from the news media
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The Toyota recall crisis:Predicting corporate reputation from the mediaDavid Geddes, Ph.D.David Fan, Ph.D.
Institute for Public Relations 9th Summit on Measurement
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•Prediction and forecasting
•Priorities
•Modeling case study
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Prediction and forecasting
© New York Times
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The Toyota recall crisis
2007 – 2008 Early problem indicationsSept. 10, 2009 Release of 911 crash call audioSept. 29, 2009 3.9 M vehicles recalled in U.S.Late Jan.- Feb. 2.3 M vehicles recalled in U.S.
Sales suspended for eight modelsPlants closedRecall expanded to Europe and ChinaCEO apologizes, testifies
March 2010 Congressional hearingsDoT and NHTSA scrutiny
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InfoTrend® model basic structure
NeutralPositive Negative
K3
K4
K2
K1
Negative message pressure
Positive message pressure
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Minimal model structure before adaptation for Toyota
Don’t try this at home
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II
III
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Variables
•Dependant variable▫YouGov BrandIndex “impression”
•Predictor variables (113 weeks 1/1/09 – 3/31/11)▫24 major U.S. newspapers▫24 matched online newspaper sites▫25 top blogs (mostly auto)▫25 top forums (mostly auto)▫AP news wire
•Automated sentiment scoring
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Results
AP newswire
Blog
Online news
Newspaper
Forum
All media
0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90
0.66
0.75
0.77
0.79
0.82
0.84Model R-squared (unweighted data)
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All mediaR2 = 0.84
Survey− Model
Positive documents
Negative documents
Positive opinion
Neutral opinion
Negative opinion
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BlogsR2 = 0.75
Survey− Model
Positive blogs
Negative blogs
Positive opinion
Neutral opinion
Negative opinion
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Results
•Broad media sample
•Automated sentiment analysis (untrained)
•Sentiment does matter
•Information half-life ≈ zero
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Results
Blog
Forum
Online newspaper
All except AP
Newspaper
AP newswire
1.8
2.0
2.2
2.2
2.3
3.7
Positive/negative persuasibility ratio
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Further directions
•Message-level drivers
•Media channel influence
•Positive/negative impact
•General reputation and brand model
•Other marketing mix elements
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Priorities1. Common measurement framework2. Standard metrics3. Better models4. Open the box5. Empiricism6. Education and training7. Research ethics8. Break down barriers9. ROI
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Thank you
Questions?