INTENTION TO USE M-GOVERNMENT SERVICES: AGE, GENDER AND EDUCATION REALLY MATTER?

Autor: San, Annie Ng Cheng, Yee, Choy Johnn, Moorthy, Krishna, Lee, Alex Foo Tun
Rok vydání: 2017
Předmět:
Zdroj: Volume: 9, Issue: 2 1-31
International Journal of eBusiness and eGovernment Studies
ISSN: 2146-0744
Popis: With the highest level of mobile penetration rate, the globe is now moving rapidly into mobile government (M-government). Despite its benefits, the acceptance of m-government services in Malaysia is still not widespread. This study attempts to incorporate the Unified Theory of Acceptance and Use of Technology (UTAUT) model with perceived risk theory (security risk and privacy risk) to explore its impact towards the intention to use m-government services. Age, gender and education level were also adopted as moderator variables to provide in-depth understanding of citizens’ preference in m-government services. Partial Least Square (PLS) Structural Equation Modelling method was conducted. The results indicate that the facilitating condition, performance expectancy, social influence, and security risk can be used as the predictor of m-government services adoption. These findings confirm the application of theory in the m-government context, which provide valuable insight to the government, citizens as well as future researchers to implement a successful m-government for a better communication between government and citizens
Databáze: OpenAIRE