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Table 6 Prediction of the amount of money requested by fraudsters (unstandardized Coefficients from a multiple regression analysis; N = 226)

From: Fraud against businesses both online and offline: crime scripts, business characteristics, efforts, and benefits

Variables in the analysis B Std. Error
Constant 2.60 ** .18
1. Business services − .01   .07
2. Wholesale and retail trade, repairs − .06   .07
3. Construction − .11   .12
4. Manufacturing industry − .16   .11
5. Human health and social work activities .04   .10
6. Information and communication, ICT .01   .12
7. Transport and storage .01   .13
8. Business size .0008 * .00
9. Sector the defrauded SME is active in. − .12   .07
10. CEO fraud 2.01 ** .09
11. Contract fraud .21 ** .07
12. Fraud in springtime − .21 ** .07
13. Fraud in summertime .00   .08
14. Fraudster in USA or Hong Kong .13 ** .03
  1. Missing values: 29 missing from lack of information on where the fraudster is operating from and 72 cases had no information on ‘amount asked’ by the fraudster
  2. Statistically significant variables are printed in italized
  3. * p < .05; ** p < .001