User acceptance of wireless technology in organizations: A comparison of alternative models

Wu, Chin-Shan; Cheng, Fei-Fei; Yen, David C.; Huang, Yu-Wen

doi:10.1016/j.csi.2010.03.002

Cited by 65 publications

(42 citation statements)

References 44 publications

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“…For instance, it is possible that a technology might be used because it enhances an individual's performance, not because the individual holds a positive attitude towards it. A more parsimonious version of TAM (TAM2) was thus proposed in which the attitude construct was removed (Wu, Cheng, Yen, & Huang, 2011) and additional constructs could be incorporated (Turner et al, 2010). This model supports the premise that people intend to use a technology for reasons other than having favourable attitudes towards it.…”

Section: Technology Acceptance Modelmentioning

confidence: 83%

“…The model posits that two types of user beliefs, perceived ease of use and perceived usefulness of the technology, are the most important factors determining a system's usage (Legris, Ingham, & Collerette, 2003). According to the model, perceived ease of use and perceived usefulness influence an individual's intention to adopt the technology (Turner et al, 2010;Wu et al, 2011), with intention, in turn, influencing actual use (Dybå, Moe, & Arisholm, 2005). A technology is perceived to be useful if the user believes the system can improve or facilitate their performance during a task, while its perceived ease of use depends on the user believing that minimal effort is required to use the system (Wu et al, 2011).…”

Section: Technology Acceptance Modelmentioning

confidence: 99%

“…According to the model, perceived ease of use and perceived usefulness influence an individual's intention to adopt the technology (Turner et al, 2010;Wu et al, 2011), with intention, in turn, influencing actual use (Dybå, Moe, & Arisholm, 2005). A technology is perceived to be useful if the user believes the system can improve or facilitate their performance during a task, while its perceived ease of use depends on the user believing that minimal effort is required to use the system (Wu et al, 2011). Both factors are equally important in shaping intentions, since an individual might perceive a technology to be useful yet still find it difficult to use (Davis, 1989).…”

Section: Technology Acceptance Modelmentioning

confidence: 99%

See 2 more Smart Citations

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Larue

Rakotonirainy

Haworth

et al. 2015

Transportation Research Part F: Traffic Psychology and Behaviou

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a b s t r a c tIntelligent Transport Systems (ITS) have the potential to substantially reduce the number of crashes caused by human errors at railway levels crossings. Such systems, however, will only exert an influence on driving behaviour if they are accepted by the driver. This study aimed at assessing driver acceptance of different ITS interventions designed to enhance driver behaviour at railway crossings. Fifty-eight participants, divided into three groups, took part in a driving simulator study in which three ITS devices were tested: an in-vehicle visual ITS, an in-vehicle audio ITS, and an on-road valet system. Driver acceptance of each ITS intervention was assessed in a questionnaire guided by the Technology Acceptance Model and the Theory of Planned Behaviour. Overall, results indicated that the strongest intentions to use the ITS devices belonged to participants exposed to the road-based valet system at passive crossings. The utility of both models in explaining drivers' intention to use the systems is discussed, with results showing greater support for the Theory of Planned Behaviour. Directions for future studies, along with strategies that target attitudes and subjective norms to increase drivers' behavioural intentions, are also discussed.

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Section: Technology Acceptance Modelmentioning

confidence: 83%

Section: Technology Acceptance Modelmentioning

confidence: 99%

Section: Technology Acceptance Modelmentioning

confidence: 99%

See 1 more Smart Citation

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Larue

Rakotonirainy

Haworth

et al. 2015

Transportation Research Part F: Traffic Psychology and Behaviou

View full text Add to dashboard Cite

show abstract

“…It has been shown by previous studies (Joo and Sang 2013) that the PEOU can considerably and directly influence the usage of a technology. The findings of other studies (Venkatesh and Bala 2008;Wu et al 2011) illustrated the instrumental effect of PEOU on attitude and PU. The findings of the current study are supported by the results of previous studies.…”

Section: Discussionmentioning

confidence: 83%

“…Prior studies confirmed (Davis Jr 1986) Willingness of members to participate in professional… that if people perceive that a technology is easy to use, they are more likely to be a user of that technology. Wu et al (2011) found that the PEOU of a wireless technology has an impact on determining the intention and perceived usefulness of wireless technology usage. Joo and Sang (2013) demonstrated that the PEOU has a positive effect on both the attitude and PU of smartphone usage among Koreans.…”

Section: Perceived Ease Of Usementioning

confidence: 98%

Willingness of members to participate in professional virtual communities

et al. 2015

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Many professional virtual communities (PVCs) have been unsuccessful due to the low willingness of members to participate in the communities. Thus, there is a need to understand what persuades individuals to participate in PVC activities. This paper develops an explorative model using the TAM as a foundation to examine the important determinants affecting the use of PVCs with the participation of one hundred and forty professionals from ResearchGate. Confirmatory factor analysis and structural equation modelling are used to evaluate the research model and analyze the data. The results show that the research model fits the data well and the structural model affirms that attitude significantly affects the intentional behavior of users. Perceived ease of use has a positive effect on attitude and perceived usefulness of users. Although perceived usefulness has a significant impact on the participants' attitude, it does not directly influence the intentional behavior of PVC users. Perceived security as a formative construct, complexity, and Internet self-efficacy are proven to be important drivers of perceived ease of use in PVCs. Moreover, the study results indicate that knowledge growth and collaboration have a positive and strong effect on the perceived usefulness of participants.

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Evolution of TAM

Davis,

Granić

2024

Human–Computer Interaction Series

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User acceptance of wireless technology in organizations: A comparison of alternative models

Cited by 65 publications

References 44 publications

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Willingness of members to participate in professional virtual communities

Evolution of TAM

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