Table 4.
Hypothesis testing.
| B | SE | t | LLCI | ULCI | R2 | |
|---|---|---|---|---|---|---|
| Outcome: ESM Exhaustion | 0.29 | |||||
| Constant: | −0.026 | 0.030 | −0.65 | −0.104 | −0.052 | |
| Excessive use of ESM | 0.433 | 0.080 | 5.317b | 0.273 | 0.593 | |
| ESM Visibility | 0.263 | 0.060 | 4.382b | 0.145 | 0.382 | |
| Excessive use of ESMa ESM Visibility | 0.200 | 0.058 | 3.42b | 0.085 | 0.313 | |
| Experience | −0.048 | 0.068 | −0.709 | −0.184 | 0.0865 | |
| Education Level | −0.017 | 0.056 | 0.314 | −0.093 | 0.128 | |
| Age | −0.067 | 0.066 | −1.01 | −0.199 | 0.063 | |
| Gender | −0.088 | 0.037 | 1.91 | 0.014 | 0.1620 | |
| Outcome: Employee digital creativity | 0.21 | |||||
| Constant: | 0.059 | 0.042 | 1.42 | −0.022 | 0.142 | |
| ESM Exhaustion | −0.205 | 0.053 | −3.81b | −0.310 | −0.099 | |
| Excessive use of ESM | −0.280 | 0.086 | −3.257b | −0.450 | −0.111 | |
| ESM Visibility | −0.153 | 0.059 | −2.846b | −0.270 | −0.036 | |
| Excessive use of ESMa ESM Visibility | −0.159 | 0.055 | 2.768b | −0.268 | −0.049 | |
| Experience | −0.070 | 0.050 | −1.269 | −0.180 | 0.038 | |
| Education Level | −0.025 | 0.055 | 0.457 | −0.083 | 0.134 | |
| Age | 0.0622 | 0.056 | 1.102 | −0.048 | 0.173 | |
| Gender | −0.070 | 0.055 | −1.269 | 0.021 | 0.154 |
Note.
p < 0.05.
p < 0.01.