Table 7

Determinants of website ranking: results of Model 1 when implementing Google_PageRank as dependent variable

Dependent variable: Google_PageRank
(1)(2)(3)(4)(5)
Equity_Agr1.516***1.16***  1.027**
(0.43)(0.439)  (0.434)
Partner_Agr  1.054***0.846**0.689*
  (0.382)(0.386)(0.388)
Blog 0.824* 1.041**0.917**
 (0.443) (0.434)(0.444)
Social 1.894*** 1.68***1.769***
 (0.596) (0.57)(0.605)
Customer: Business −0.84* −0.811*−0.83*
 (0.428) (0.438)(0.425)
Customer: Consumer −0.652 −0.502−0.586
 (0.588) (0.602)(0.58)
Product: Diversified 1.437* 1.3931.282*
 (0.754) (0.85)(0.709)
Product: Financing 0.027 −0.273−0.081
 (0.563) (0.588)(0.571)
Product: Insurance 0.594 0.3810.544
 (0.657) (0.748)(0.683)
Product: Investments 0.054 −0.224−0.025
 (0.642) (0.631)(0.646)
Age 0.087 0.11*0.088
 (0.061) (0.066)(0.06)
N° observations124124124124124
LR test14.018***56.003***8.467***53.59***59.182***
Cox and Snell’s R20.1070.3630.0660.3510.38
Nagelkerke’s R20.1120.380.0690.3670.397
AIC387.289363.303392.84365.716362.124
Residual deviance371.289329.303376.84331.716326.124
Brant test (p-value)0.240.520.990.940.3

Note(s): Ordinal logistic regressions for the dependent variable Google_PageRank. Log odds ratio is displayed. Standard errors are clustered at firm level. For the definition of all variables see Table 1. Significance levels: *, **, *** for 10%, 5% and 1%, respectively

Source(s): Table was created by the authors

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