Table 7.
Configural effects for predicting high and low behavioural intentions towards m-health
| Configural models for predicting high behavioural intentions towards m-health | Configural models for predicting low behavioural intentions towards m-health | ||||||
|---|---|---|---|---|---|---|---|
| BI = f (PE, EE, SI, FC, HM, PV, HB, SQ and QL) | ~ BI = f (PE, EE, SI, FC, HM, PV, HB, SQ and QL) | ||||||
| Configural Models (Sufficient causal recipes) | Raw coverage | Unique Coverage | Consistency | Configural Models (Sufficient causal recipes) | Raw coverage | Unique Coverage | Consistency |
| Model 1: ~ EE*SI* ~ FCI*HM*PV*HA*SQ* ~ QL | 0.721 | 0.010 | 0.986 | Model 1: ~ PE* ~ EE*SI* ~ PV* ~ HA *SQ*QL | 0.811 | 0.145 | 0.949 |
| Model 2: PE* ~ EE*SI* ~ FCI*HM*PV*HA*SQ | 0.714 | 0.018 | 0.986 | Model 2: ~ PE* ~ EE*SI* ~ PV* ~ HA | 0.711 | 0.031 | 0.803 |
| Model 3: PE*EE*SI*FC*HM*PV*HA* QL | 0.546 | 0.015 | 0.995 | ||||
| Solution coverage: 0.767 | Solution coverage: 0.900 | ||||||
| Solution consistency: 0.856 | Solution consistency: 0.824 | ||||||
Performance expectancy = PE, Effort expectancy = EE, Social influence = SI, Facilitating condition = FC, Hedonic motivation = HM, Price value = PV, Habit = HA, Service quality = SQ, Quality of life = QL, Behavioural intention = BI, Use behavior = UB