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Michael D. Williams

Bio: Michael D. Williams is an academic researcher from Swansea University. The author has contributed to research in topics: Context (language use) & Government. The author has an hindex of 46, co-authored 207 publications receiving 7918 citations. Previous affiliations of Michael D. Williams include Al-Balqa` Applied University & University of Winchester.


Papers
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Journal ArticleDOI
TL;DR: An alternative theoretical model for explaining the acceptance and use of information system (IS) and information technology (IT) innovations was formalized and the empirical model was empirically examined using a combination of meta-analysis and structural equation modelling techniques.
Abstract: 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.

830 citations

Journal ArticleDOI
TL;DR: This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.

808 citations

Journal ArticleDOI
TL;DR: A systematic review of articles that have used the unified theory of acceptance and use of technology (UTAUT) and indicated that general purpose systems and specialized business systems were examined in the majority of the articles using the UTAUT.
Abstract: – The purpose of this paper is to perform a systematic review of articles that have used the unified theory of acceptance and use of technology (UTAUT). , – The results produced in this research are based on the literature analysis of 174 existing articles on the UTAUT model. This has been performed by collecting data including demographic details, methodological details, limitations, and significance of relationships between the constructs from the available articles based on the UTAUT. , – The findings indicated that general purpose systems and specialized business systems were examined in the majority of the articles using the UTAUT. The analysis also indicated that cross-sectional approach, survey methods, and structural equation modelling analysis techniques were the most explored research methodologies whereas SPSS was found to be the largely used analysis tools. Moreover, the weight analysis of independent variables indicates that variables such as performance expectancy and behavioural intention qualified for the best predictor category. Moreover, the analysis also suggested that single subject or biased sample as the most explored limitation across all studies. , – The search activities were centered on occurrences of keywords to avoid tracing a large number of publications where these keywords might have been used as casual words in the main text. However, we acknowledge that there may be a number of studies, which lack keywords in the title, but still focus upon UTAUT in some form. , – This is the first research of its type which has extensively examined the literature on the UTAUT and provided the researchers with the accumulative knowledge about the model.

646 citations

Journal ArticleDOI
TL;DR: In this article, the authors applied the Unified Theory of Acceptance and Use of Technology (UTAUT), extended with more consumer-related constructs, to explore the factors affecting nonusers' intentions to adopt RMP in the United Kingdom.
Abstract: Mobile payments (MPs) are predicted to be one of the future's most successful mobile services but have achieved limited acceptance in developed countries to date. PCs are still the preferred technology for online shopping in the United Kingdom but the continued growth of mobile commerce (MC) is highly correlated with the success of remote MPs (RMPs). Currently MP research has largely ignored the variations between different MP solutions, and existing MP adoption studies have predominantly utilized Davis’ (1989) Technology Acceptance Model, which has been criticized for having a deterministic approach without much consideration for users’ individual characteristics. Therefore, this study applied the Unified Theory of Acceptance and Use of Technology (UTAUT), extended with more consumer-related constructs, to explore the factors affecting nonusers’ intentions to adopt RMP in the United Kingdom. Quantitative data were collected (n = 268) and structural equation modeling was undertaken. The findings revealed that performance expectancy, social influence, innovativeness, and perceived risk significantly influenced nonusers’ intentions to adopt RMP, whereas effort expectancy did not. Inclusion of MP knowledge as a moderating variable revealed that there was a significant difference in the effect of trust on behavioral intention for those who knew about MP than for those who did not. These findings have important theoretical and practical implications, particularly for the development and marketing of RMP, which will support the long-term success of MC.

534 citations

Journal ArticleDOI
TL;DR: A unified model of e-government adoption (UMEGA) is developed and validated using data gathered from 377 respondents from seven selected cities in India, indicating that the proposed unified model outperforms all other theoretical models, explaining the highest variance on behavioral intention, acceptable levels of fit indices, and significant relationships for each of the seven hypotheses.

376 citations


Cited by
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01 Jan 2008
TL;DR: In this article, the authors argue that rational actors make their organizations increasingly similar as they try to change them, and describe three isomorphic processes-coercive, mimetic, and normative.
Abstract: What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

2,134 citations

Book ChapterDOI
19 Dec 2005

1,788 citations

Journal ArticleDOI
Devendra Potnis1
TL;DR: This qualitative study explores the factors responsible for creating economic barriers for 245 women in India, which prevent them from owning a mobile phone, to broaden the understanding of the gender digital divide in India.

1,480 citations