Information Technology Reference
In-Depth Information
Table 4.
Simulation results of the several configurations of payment methods (pay-
ment methods:
Z
1
=Invoice,
Z
2
=Prepayment,
Z
3
=Credit Card,
Z
4
=CashonDelivery;
payment configuration: 0=off, 1=on)
Config.
Z
1
Z
2
Z
3
Z
4
Z
1
Z
2
Z
3
Z
4
Cancel
1
0
0
0
0
-
-
-
-
1.00
2
1
0
0
0
0.88
-
-
-
0.12
3
0
1
0
0
-
0.24
-
-
0.76
4
0
0
1
0
-
-
0.59
-
0.41
5
0
0
0
1
-
-
-
0.28
0.72
6
1
1
0
0
0.84
0.06
-
-
0.10
7
1
0
1
0
0.69
-
0.24
-
0.07
8
1
0
0
1
0.84
-
-
0.05
0.11
9
0
1
1
0
-
0.13
0.52
-
0.35
10
0
1
0
1
-
0.19
-
0.23
0.58
11
0
0
1
1
-
-
0.52
0.14
0.34
12
1
1
1
0
0.67
0.04
0.23
-
0.06
13
1
1
0
1
0.81
0.05
-
0.04
0.10
14
1
0
1
1
0.67
-
0.24
0.03
0.06
15
0
1
1
1
-
0.11
0.47
0.13
0.29
16
1
1
1
1
0.65
0.04
0.23
0.03
0.05
Finally, we close the evaluation with the following observations. The results of
Config. 6 and Config. 13 illustrate that the adding of additional payment meth-
ods does not always lead to new consumers. In this case the type cash on delivery
is added but the dropout rate remains with 10% constant. The configurations
12 and 14 show that one payment method can substitute another. In this ex-
ample, prepayment and cash on delivery are able to replace each other. Similar
effects appear if the rate of male and female consumers is changed. If half of all
consumers is female and purchase on invoice and credit card are offered, then
cash on delivery can be omitted without raising the dropout rate. Furthermore,
prepayment and cash on delivery will replace each other if purchase on invoice
Table 5.
Reference values [2] (payment methods:
Z
1
=invoice,
Z
2
=prepayment,
Z
3
=credit card,
Z
4
=cash on delivery; payment configuration: 0=off, 1=on)
Config.
Z
1
Z
2
Z
3
Z
4
Z
1
Z
2
Z
3
Z
4
Cancel
1
0
0
0
0
-
-
-
-
1.00
3
0
1
0
0
-
0.21
-
-
0.79
6
1
1
0
0
0.84
0.06
-
-
0.10
9
0
1
1
0
-
0.11
0.53
-
0.36
10
0
1
0
1
-
0.19
-
0.23
0.58
13
1
1
0
1
0.80
0.06
-
0.04
0.10
16
1
1
1
1
0.65
0.04
0.23
0.03
0.05
