Internet Lottery Commerce: An Integrated View of Online Sport Lottery Adoption

Chiu, Yen‐Ting Helena; Lee, Wan‐I; Liu, Chia‐Chi; Liu, Liyu

doi:10.1080/15332861.2012.650990

Cited by 28 publications

(47 citation statements)

References 38 publications

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“…Moreover, social influence was found to be a significant determinant of individual attitudes. This is perhaps not surprising, because individuals may refine their attitudes based on information or stories shared by others who have already adopted similar technologies or information systems (e.g., Chiu et al 2012;Pynoo et al 2007;Sumak et al 2010).…”

Section: Discussionmentioning

confidence: 99%

“…Other studies (e.g., Chiu et al 2012;Park et al 2007;Sumak et al 2010) have provided empirical support for the relationship between social influence and attitude in the context of the IS/IT adoption literature in general. We also propose that attitude would influence behavioural intention (Fishbein and Ajzen 1975;Davis 1989;Ajzen 1991;Taylor and Todd 1995b), based on prior empirical research (e.g., Chen and Lu 2011;Cox 2012;Zhang and Gutierrez 2007).…”

Section: Proposed Research Model and Hypotheses Developmentmentioning

confidence: 93%

“…Studies of technology adoption (e.g., Chiu et al 2012;Park et al 2007;Pynoo et al 2007;Sumak et al 2010) have also supported the positive and significant impact of social influence on attitude. For example, analysing the adoption of an Internet sport lottery in Taiwan, Chiu et al (2012) found social influence to be a significant determinant of users' attitudes across different age groups and varied levels of Internet experience. Their findings indicate that lottery gaming and online betting are susceptible to social influence that allows players to easily connect to each other (Chiu et al 2012).…”

Section: Social Influencementioning

confidence: 93%

“…This variable is composed of other similar ones, namely subjective norm (TRA, TAM2, TPB and DTPB), social factors (model of PC utilisation) and image (IDT) (Venkatesh et al 2003). Studies of technology adoption (e.g., Chiu et al 2012;Park et al 2007;Pynoo et al 2007;Sumak et al 2010) have also supported the positive and significant impact of social influence on attitude. For example, analysing the adoption of an Internet sport lottery in Taiwan, Chiu et al (2012) found social influence to be a significant determinant of users' attitudes across different age groups and varied levels of Internet experience.…”

Section: Social Influencementioning

confidence: 97%

“…For example, analysing the adoption of an Internet sport lottery in Taiwan, Chiu et al (2012) found social influence to be a significant determinant of users' attitudes across different age groups and varied levels of Internet experience. Their findings indicate that lottery gaming and online betting are susceptible to social influence that allows players to easily connect to each other (Chiu et al 2012). Similarly, exploring the adoption of mobile technologies by Chinese consumers, Park et al (2007) found that social influence positively affected their attitudes towards using mobile technology.…”

Section: Social Influencementioning

confidence: 99%

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Citizens’ adoption of an electronic government system: towards a unified view

et al. 2015

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Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors.

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Section: Discussionmentioning

confidence: 99%

Section: Proposed Research Model and Hypotheses Developmentmentioning

confidence: 93%

Section: Social Influencementioning

confidence: 93%

Section: Social Influencementioning

confidence: 97%

Section: Social Influencementioning

confidence: 99%

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Citizens’ adoption of an electronic government system: towards a unified view

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Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling

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Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model

et al. 2017

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Based on a critical review of the Unified Theory of Acceptance and Use of Technology (UTAUT), this study first formalized an alternative theoretical model for explaining the acceptance and use of information system (IS) and information technology (IT) innovations. The revised theoretical model was then empirically examined using a combination of meta-analysis and structural equation modelling (MASEM) techniques. The meta-analysis was based on 1600 observations on 21 relationships coded from 162 prior studies on IS/ IT acceptance and use. The SEM analysis showed that attitude: was central to behavioural intentions and usage behaviours, partially mediated the effects of exogenous constructs on behavioural intentions, and had a direct influence on usage behaviours. A number of implications for theory and practice are derived based on the findings.

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Internet Lottery Commerce: An Integrated View of Online Sport Lottery Adoption

Cited by 28 publications

References 38 publications

Citizens’ adoption of an electronic government system: towards a unified view

Citizens’ adoption of an electronic government system: towards a unified view

Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling

Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model

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