How perceived effort expectancy and social influence affects the continuance of intention to use e-government. A study of a Malaysian government service

Razak, Fahmi Zaidi Bin Abdul; Bakar, Azlina Abu; Abdullah, Wan Rafizah Wan

doi:10.1504/eg.2017.083943

Cited by 20 publications

(17 citation statements)

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“…Reason being the SMEs do not want to be left out from the bandwagon of doing business with government agencies when they start seeing their peers and business partner begin using the EGP. This result is consistent with studies carried out in e-procurement studies by Wani and Ali (2015), Batara (2017), Dwivedi et al (2017), Razak et al (2017), and Gasco et al (2018). This reflect that Malaysian SMEs finds the social influences induce the adoption of e-government services in Malaysia’s SMEs and highlights the gains from the successful deployment into public procurement.…”

Section: Discussionsupporting

confidence: 90%

Factors influencing Malaysian small and medium enterprises adoption of electronic government procurement

Soong

Ahmed

Tan

2020

JOPP

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Purpose This study aims to examine Malaysian small and medium-sized enterprises (SMEs) Adoption of electronic government procurement (EGP) in the post-introduction phase as the portal was introduced in the early year 2000. Design/methodology/approach This study integrated electronic public services into two acceptance theories (the technology acceptance model [TAM] and unified theory of acceptance and use of technology [UTAUT] framework) and having a direct measurement of the criterion. Both TAM and UTAUT models measure the behaviour intention to use and indirectly measure the criterion of actual usage along with behavioural intention. Besides, this study conducted a systematic sampling survey in SMEs located in Klang Valley (the business hub in Malaysia). Findings The results confirm that effort expectancy, performance expectancy and social influences had a direct effect on the adoption of EGP in the private sector. Rather than the original UTAUT setup, the behavioural intention would influence user behaviour. Social implications The implications and policy recommendations of these findings will be used by both SMEs and the government to improve the EGP delivery. Originality/value The gap with this study is at the time the Malaysian Government introduced e-procurement. The SMEs were quite new and had limited knowledge in the e-procurement during the introduction phase. Both SMEs and the government will use the implications and policy recommendations of these findings to improve the EGP delivery in the current post introduction phase.

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Section: Discussionsupporting

confidence: 90%

Factors influencing Malaysian small and medium enterprises adoption of electronic government procurement

Soong

Ahmed

Tan

2020

JOPP

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“…Social influence and trust in the Internet. The impact of social influence on the adoption of technology-related applications such as e-government has been established (Alshehri et al, 2013;Razak, Bakar, & Abdullah, 2017) but little research has examined the impact of social influence on the trust in the Internet. So it will be interesting to examine whether the influence of friends and family members can contribute to determining the extent of citizen trust in the Internet.…”

Section: Social Influencementioning

confidence: 99%

Factors Influencing the Intention of University Students to Adopt and Use E-Government Services: An Empirical Evidence in China

Mensah

2019

SAGE Open

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This research article examines the intention of university students to adopt and use e-government services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework for this study. A total of 369 valid responses were collected from Chinese citizens (college students) and used for the data analysis. The data analysis was conducted with SPSS. The results of this study have demonstrated that facilitating conditions, perceived service quality, trust in the government, and social influence were significant predictors of the intention of university students to adopt and use e-government services. Interestingly, performance expectancy, effort expectancy, and trust in the Internet were not significant determinants of the intention to use e-government services. Social influence was significant in determining the trust in the Internet but was not significant in predicting the trust in government. The implications of these findings for the implementation of e-government are discussed.

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“…UTAUT originally presented four key variables (performance expectancy, effort expectancy, social influence and facilitating conditions). Performance expectancy reflects the benefit technology will provide to users when using it (Abdul Razak et al, 2017;Huang and Kao, 2015;Kit et al, 2014). Effort expectancy reflects how comfortable and easy the adoption or use of technology will be (Abu-Shanab and Pearson, 2007).…”

Section: The Unified Theory Of Acceptance and Use Of Technologymentioning

confidence: 99%

“…Effort expectancy reflects how comfortable and easy the adoption or use of technology will be (Abu-Shanab and Pearson, 2007). Social influence is the extent to which other people related to users (e.g., family and friends) think they should use a certain technology (Abdul Razak et al, 2017). Facilitating conditions are related to resources and functions provided to support users' behaviour (Venkatesh et al, 2012).…”

Section: The Unified Theory Of Acceptance and Use Of Technologymentioning

confidence: 99%

The influence of utilising Facebook on e-government adoption

Sawalha

Jamal

Abu-Shanab

2019

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E-government is becoming a major channel for citizens' communication, interaction and collaboration with their government. Utilising the increased use of social media, individuals, businesses and governments recognised the opportunity to benefit from these sites to open channels of communication and empowerment. In this paper, we measure the influence of social networks represented by Facebook on e-government in Jordan. We extended UTAUT2 with personal innovativeness and yielded a full support of all hypotheses assumed. Performance expectancy, social influence, effort expectancy, personal innovativeness and enjoyment significantly predicted the continuous use of e-government pages on Facebook. The estimated coefficient of determination R 2 was 0.48. Conclusions are stated at the end.

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How perceived effort expectancy and social influence affects the continuance of intention to use e-government. A study of a Malaysian government service

Cited by 20 publications

References 0 publications

Factors influencing Malaysian small and medium enterprises adoption of electronic government procurement

Factors influencing Malaysian small and medium enterprises adoption of electronic government procurement

Factors Influencing the Intention of University Students to Adopt and Use E-Government Services: An Empirical Evidence in China

The influence of utilising Facebook on e-government adoption

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