|
| Variable | Description | Value | Reference studies |
|
| Dependent variable |
| Review_Attraction | Total votes for the reviews | Equal to or greater than zero | |
| Review_Helpfulness | The ratio of number of helpful votes to total votes | Continuous values between 0 and 1 | |
|
| Independent variable |
| Review_Extremity | The difference between the score of individual review and a standard value of 3 | Integral value between and 2 | Mudambi and Schuff [6]
Peng et al. [7]
Dellarocas et al. [8]
Kim et al. [9]
Forman et al. [10]
Ghose and Ipeirotis [11] |
| Review_Reliability | The number of characters in review text | Continuous values greater than 1 | Mudambi and Schuff [6] |
| Reviewer_Rank | Rank of reviewer based on Amazon system | Continuous values greater than 1 | Forman et al. [10]
Baek et al. [12]
Ngo-Ye and Sinha [13]
Guo et al. [14] |
| Review_Width | The ratio of number of features mentioned in the review to the maximum number of features described in the reviews of that particular product | Continuous values between 0 and 1 | |
| Review_Depth | The ratio of the number of characters to total number of features outlined in the review | Continuous values between 0 and 1 | Mudambi and Schuff [6] |
| Review_Object | A binary variable indicates whether a review presents a mixture of both subjective and object information or not | It takes value of 1 when there is mixed information; otherwise, the variable has value of 0 | Krishnamoorthy [15]
Ghose and Ipeirotis [11] |
| Review_Sentiment | A binary variable indicates whether a review conveys a mixture of positive and negative attitudes towards the product features | It takes value of 1 when there is mixed sentiment; otherwise, the variable has value of 0 | Cao et al. [4]
Hao et al. [16]
Sun [17, 18] |
|
| Moderator variable |
| Commodity_Category | A dummy variable indicates the type of commodity | It takes value of 1 if the product is search commodity and its value is 0 for experience commodity | Mudambi and Schuff [6] |
|
