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Table 8 Configural effects for predicting high and low usage behaviour of m-health

From: Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model

Configural Models for predicting high usage behaviour of m-health

Configural Models for predicting low usage behaviour of m-health

UB = f (BI, SQ, QL and HA)

 ~ UB = f (BI, SQ, QL and HA)

Configural Models (Sufficient causal recipes)

Raw coverage

Unique Coverage

Consistency

Configural Models (Sufficient causal recipes)

Raw coverage

Unique Coverage

Consistency

Model 1: BIN*HA*QL

0.913

0.287

0.879

Model 1: ~ BIN* ~ SQ* ~ HA

0.450

0.010

0.972

Model 2: BIN*HA*SQ

0.616

0.042

0.766

Solution coverage: 0.971

Solution coverage: 0.711

Solution consistency: 0.854

Solution consistency: 0.907

  1. BI: Behavioural intention towards m-health, SQ: Service quality, QL: Quality of life, HA: Habit and UB: Use behaviour of m-health