Effects of the control variables on problematic IT use
| Control variable or construct | Effect |
|---|---|
| Gender (0 = male, 1 = female) | −0.038 |
| Age (years) | −0.102** |
| IT experience (years) | −0.044 |
| Education | |
| Undergraduate degree | 0.052 |
| Postgraduate degree | −0.011 |
| Industry | |
| Services | −0.122** |
| Education | −0.058 |
| ICT | −0.079* |
| Healthcare | −0.050 |
| Retail and wholesale | −0.047 |
| Construction and real estate | −0.003 |
| Manufacturing | −0.072* |
| Non-profit | −0.066* |
| Work IT use | 0.033 |
| Work mental load | 0.030 |
| Control variable or construct | Effect |
|---|---|
| −0.038 | |
| −0.102** | |
| −0.044 | |
| Undergraduate degree | 0.052 |
| Postgraduate degree | −0.011 |
| Services | −0.122** |
| Education | −0.058 |
| ICT | −0.079* |
| Healthcare | −0.050 |
| Retail and wholesale | −0.047 |
| Construction and real estate | −0.003 |
| Manufacturing | −0.072* |
| Non-profit | −0.066* |
| 0.033 | |
| 0.030 | |
Note(s): **p < 0.01, *p < 0.05