Contemporary trends and issues in IT adoption and diffusion research

By Michael D. Williams, Yogesh Kumar Dwivedi, Banita Lal, Andrew Schwarz. Journal of Information and Technology, 2009

408 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/c54475a79a484ba82d5ce3d0e2aa33bf4febee6d

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Citations in the corpus

Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework (2013, background): “5 TOE, cloud computing and SMEs The adoption and diffusion of IS innovation have been extensively studied, and considered to be one of the most mature areas of exploration within the IS discipline (Hirschheim, 2007; Venkatesh et al., 2007; Williams et al., 2009).”
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, background): “2 Theoretical Reframing of Research on IS/IT Acceptance and Use 2.1 Alternative Theories on IS/IT Acceptance and Use User acceptance of new IS/IT innovation is often portrayed as one of the most mature areas of research in contemporary IS literature (e.g., Hu et al. 1999; Williams et al. 2009).”
Understanding the Blockchain technology adoption in supply chains-Indian context (2018, background): “Such integration of theoretical models is supported in the literature for having a more comprehensive understanding of the customers intent to adopt IT applications (Pavlou and Fygenson 2006; Williams et al. 2009; Pattansheti et al. 2016).”
E-commerce adoption by SMEs in developing countries: evidence from Indonesia (2017, background): “However the majority were conducted in developed countries (Kurnia et al. 2015; Williams et al. 2009; Parker and Castleman 2007), and only a few focused on SMEs and in developing countries.”
How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity (2019, background): “…technologies are based on ICT systems that standardize information and allow organizations to rapidly code, store, formalize, and distribute increasing amounts of knowledge, which is becoming ever more diverse (Markus, Steinfield, Wigand, & Minton, 2006; Williams, Dwivedi, Lal, & Schwarz, 2009).”
Giving too much social support: social overload on social networking sites (2015, background): “On the basis of Bhattacherjee ’ s (2001) concept of continuous usage intention, technology acceptance research (Dwivedi et al, 2008; Williams et al, 2009), and the discussion on user resistance (Kim & Kankanhalli, 2009), we refer to this as discontinuous usage intention.”
On being ‘systematic’ in literature reviews in IS (2015, methodology): “Systematic mapping of literature for a high level bibliometric type analysis interested in identifying key characteristics of the literature, such as number of publications over journals and over time, productivity of authors and countries, used research methods and so on (e.g., Weerakkody et al., 2”
The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use (2015, neutral): “Several approaches using this model have revealed antecedents of the intention to adopt (see Williams et al., 2009 for a review).”
The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, background): “…and technologies in countless different contexts, to the extent that even the most cursory examination of the extant body of literature will reveal a variety of stakeholder perspectives, technologies and contexts, units of analysis, theories, and research methods (Williams et al., 2009).”
The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, background): “…stream has witnessed assortment of research methodologies examining multitude of technologies in range of countries with the extant literature revealing numerous theories, contexts, units of analysis and research methods (Dwivedi & Williams, 2008; Choudrie & Dwivedi, 2005; Williams et al., 2009).”
Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling (2020, background): “We know that users ’ acceptance of modern technology is often portrayed as a major research area in contemporary Information Technology Literature (Williams et al. 2009).”