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S1960393 Saskia van Dijk

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 The internet and consumer reviews become ever more

important.

 The number of reviews and the length of a reviews of a

product positively influences the sales of this product.

 The average rating of a product positively influences

(3)

 Consumers don’t rely on simple cues and read reviews.  They get overloaded with information.

 This can result in cognitive fatigue and confusion.  They alter their decision making process due to

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 H1:The average rating of a product given by consumers

has a positive effect on the sales of this product.

 H2: First, an increase in the average number of

characters of a review increases the effect of the

average rating, after some ideal number of characters of a review, this effect decreases.

 H3: First, an increase in the number of reviews

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Number of reviews Average length of a review Sales Control variables (e.g. features and

price) Average rating

H3

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Models Variables

Model 1 Model with all variables not controlling for endogeneity

Model 2 Model with all variables controlling for endogeneity

Model 3 Model with the main effect of the number of reviews not controlling for endogeneity Model 4 Model with the main effect of the number

of reviews controlling for endogeneity Model 5 Model with the average rating as a

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Model 1 Model 2

Variable Beta Std. error Beta Std. error

Constant 8.701*** 2.058 11.866*** 2.375 Brand Samsung 0.408 1.367 0.627 1.396 Brand Apple -2.58*** .294 -2.18*** .338 Brand HP -0.749 .861 -0.479 .725 Storage Size -0.002 .001 -0.001 .001 Price 0.001*** .000 0.001*** .000 Average Rating -0.286 .550 -0.277 .536 Number Reviews 0.005 .030 0.042 .033 Number Reviews2 .000 .000 1.77E-05 .000

Avg Rating*Number Reviews -0.007 .008 -0.011* .008 Avg Rating*Number Reviews2 -1.88E-05 3.691E-5 -3.86E-06 3.275E-5

Number Char .000 .005 0.001 .004 Number Char2 -5.59E-07 2.563E-6 -7.75E-07 2.216E-6

Avg Rating*Number Char 6.61E-05 .001 -1.94E-05 .001 Avg Rating*Number Char2 1.73E-07 7.069E-7 1.74E-07 6.200E-7

Copula 1 -2.441 4.423 Copula 2 0.884 4.135 Adjusted R2 .629 .658

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Model 3 Model 4

Variable Beta Std. error Beta Std. error

Constant 8.389*** .518 11.443*** .680 Brand Samsung .312 1.245 .584 1.311 Brand Apple -2.849*** .323 -2.556*** .291 Brand HP -.446 .844 -.196 .675 Storage Size -.002 .002 -.002 .002 Price .001*** .000 .001*** .000 Average Rating -.269 .177 -.195 .151 Number Reviews -.008*** .002 .002 .003 Copula 1 -1.072*** .233 Adjusted R2 .577 .623

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Model 5

Variable Beta Std. error

Constant 8.213*** .332 Brand Samsung 1.264 1.151 Brand Apple -2.888*** .509 Brand HP -.061 .573 Storage Size -.001 .001 Price .001*** .000 Average Rating 0-1 .700 .527 Average Rating 1-2 .197 .333 Average Rating 2-3 -.513 .365 Average Rating 3-4 -1.397*** .343 Average Rating 4-5 -1.086* .570 Adjusted R2 .522

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 H1: Partly supported, only high values of the

average rating positively influences sales.

 H2 and H3 are not supported, possibly

because a tablet is a search good.

 A consumers only needs a quick

conformation of their own idea, they check the average rating. They don’t read the

reviews.

 The number of reviews the average rating is

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 Firms should contact consumers to give an

average rating instead of writing a whole reviews, for search goods.

 Firms do not have to control the length of a

reviews and the total number of reviews of a product, for search goods.

 Research whether H2 and H3 does hold for

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