Factors Affecting e-Government Technology Adoption Behaviour in a Voluntary Environment

Abstract

The purpose of this paper is to provide an empirical examination of the factors affecting voluntary eService adoption in a public sector work environment. The model examined was constructed following a thorough review of relevant literature on technology adoption through the framework of Theory of Interpersonal Behaviour. Structural equation modelling was used to examine a model assessed through participant responses to survey data for a sample of 515 respondents working in Australian City Councils. The results indicate that an individual's attitudes and beliefs have a significant influence on eService utilisation. Results also suggest that organisational conditions such as training, leadership support and organisational preparedness act to enhance eService utilisation indirectly through their effect on an individual's attitudes and beliefs. The current study provides a model of examining and explaining voluntary technology adoption behaviour in the workplace.

Factors affecting e-government adoption in the UAE public sector organisations: the knowledge management perspective

“…Aforementioned authors found performance expectancy as instrumental to positive perception of technology or e-government by employees, and this indicates that relationship exists between independent and dependent variables when it comes to e-government adoption. This is reinforced in more recent studies by authors such as Hossan and Ryan (2016), Thao (2017), Rehman et al (2012) and Al-Shafi and Weerakkody (2010) which identified factors that affect or influence e-government adoption in government sector or government. Evidence from recent studies align with, and strongly support that performance expectancy such as short-and long-term performance and client impacts influence the utilisation of e-service or e-government.…”

“…It indicates that performance expectancy factors like short- and long-term job performances and client impact positively influence e-government adoption in government departments and organisations. By combining elements of the theoretical models by Hossan and Ryan (2016) and UTAUT, this study provides context for a new theory that combines three performance expectancy factors with three facilitating conditions.…”

“…Studies on factors influencing e-government or e-service adoption in the public sector tend to incorporate theories of technology adoption. Theories that have been used in studies of the adoption of e-government services include technology acceptance models (TAM) (Davis, 1989), the theory of reasoned action (Douglass, 1977), the innovation diffusion theory (Rogers, 2010), the e-government adoption model (GAM) (Shareef et al , 2011), the 10-factor model (Hossan and Ryan, 2016) and the UTAUT (Venkatesh et al , 2003).…”

“…This understanding led to the selection of the 10-factor model of eService utilisation in the public sector in Australia. Proposed by Hossan and Ryan (2016), the 10-factor model is derived from theory of interpersonal behaviour based on an empirical examination of factors that influence voluntary e-Service adoption in Australian public sector. In their study, Hossan and Ryan (2016) discovered organisational conditions such as leadership support (K = 0.716), training support (K = 0.681) and organisational preparedness (K = 0.562) were significant predictors that led to the success of e-Service adoption.…”

“…Proposed by Hossan and Ryan (2016), the 10-factor model is derived from theory of interpersonal behaviour based on an empirical examination of factors that influence voluntary e-Service adoption in Australian public sector. In their study, Hossan and Ryan (2016) discovered organisational conditions such as leadership support (K = 0.716), training support (K = 0.681) and organisational preparedness (K = 0.562) were significant predictors that led to the success of e-Service adoption. Therefore, these three factors were selected from the 10-model factor and incorporated as the dimensions of facilitating conditions for G2G in this study.…”