Technology Use and acceptance framework (tuaf)
isaac_osei__k1645396__tuaf_-_information_systems_msc_viva_final.pdf |
An extension of UTUAT for Low and Middle Income Countries (LMIC) Health Information Technology Systems (HITS).
Based on Venkatesh et al., 2003, Unified Theory of Acceptance and Use of Technology (UTAUT), TUAF Identifies and predicts health-care worker behavior in LMICs toward HITS. The determinants and the moderating factors explain the key influences to behavioral intent & actual technology usage in LMICs.
Through Problem Solving research, Primary insights yielded are:
▪ HITS can best succeed in a LMIC when the fit between the design factors & the Healthcare worker factors both mesh with the environmental factors.
▪ A healthcare worker’s Patient oriented-ness has a moderating effect User Experience, Performance Expectancy, and Effort Expectancy of HITS.
▪ Trust is an important moderating factor for Social Influence and Facilitating conditions in the use of HITS in LMICs.
Based on Venkatesh et al., 2003, Unified Theory of Acceptance and Use of Technology (UTAUT), TUAF Identifies and predicts health-care worker behavior in LMICs toward HITS. The determinants and the moderating factors explain the key influences to behavioral intent & actual technology usage in LMICs.
Through Problem Solving research, Primary insights yielded are:
▪ HITS can best succeed in a LMIC when the fit between the design factors & the Healthcare worker factors both mesh with the environmental factors.
▪ A healthcare worker’s Patient oriented-ness has a moderating effect User Experience, Performance Expectancy, and Effort Expectancy of HITS.
▪ Trust is an important moderating factor for Social Influence and Facilitating conditions in the use of HITS in LMICs.