Table I Results of the logistic...

Table I

Results of the logistic regression analysis explaining complainant-type

Variables	Model 1		Model 2
Variables	Coefficient (SE)	Odds	Coefficient (SE)	Odds
Control variables
Gender (f)	−0.27 (0.17)	0.77	−0.30 (0.19)	0.74
Age	−0.02 (0.00)**	0.98	−0.03 (0.01)***	0.97
Education	0.19 (0.08)****	1.21	0.22 (0.08)*	1.25
Country (Germany)	−0.35 (0.20) ****	0.70	−0.35 (0.22)	0.71
Complaint history	1.40 (0.08)***	3.42	1.39 (0.10)**	3.10
Pre-failure relationship strength	1.02 (0.10)***	2.50	1.00 (0.11)***	2.39
Complaint goals
Webcare-dependent goals:
Redress seeking			2.12 (0.10)***	10.57
Empowerment			1.55 (0.15)***	9.20
Helping the company			0.40 (0.17)*	1.49
Recognition by the company			0.50 (0.12)***	1.60
Webcare-independent goals:
Altruism toward other consumers			−0.30 (0.15)*	0.69
Venting			−0.10 (0.13)	0.90
Revenge taking			−1.17 (0.12)***	3.15
Entertainment			−0.37 (0.14)**	0.69
Negelkere R²	0.31		0.62
Model X²	40,373***		55,310***

Variables	Model 1		Model 2
Variables	Coefficient (SE)	Odds	Coefficient (SE)	Odds
Control variables
Gender (f)	−0.27 (0.17)	0.77	−0.30 (0.19)	0.74
Age	−0.02 (0.00)**	0.98	−0.03 (0.01)***	0.97
Education	0.19 (0.08)****	1.21	0.22 (0.08)*	1.25
Country (Germany)	−0.35 (0.20) ****	0.70	−0.35 (0.22)	0.71
Complaint history	1.40 (0.08)***	3.42	1.39 (0.10)**	3.10
Pre-failure relationship strength	1.02 (0.10)***	2.50	1.00 (0.11)***	2.39
Complaint goals
Webcare-dependent goals:
Redress seeking			2.12 (0.10)***	10.57
Empowerment			1.55 (0.15)***	9.20
Helping the company			0.40 (0.17)*	1.49
Recognition by the company			0.50 (0.12)***	1.60
Webcare-independent goals:
Altruism toward other consumers			−0.30 (0.15)*	0.69
Venting			−0.10 (0.13)	0.90
Revenge taking			−1.17 (0.12)***	3.15
Entertainment			−0.37 (0.14)**	0.69
Negelkere R²	0.31		0.62
Model X²	40,373***		55,310***

Notes:

****p < 0.10;

*p < 0.05;

**p < 0.01;

*** p<0.001

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