A Meta-Analysis of Research on Information Technology Implementation in Small Business
By G. Prem Premkumar, C. Hall. Journal of Organizational Computing and Electronic Commerce, 2003
483 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/953abf104f89a5f3d1d2a14ad40fe4d135093418
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- V. Venkatesh
- Michael G. Morris
- John W. Egger
- Jose Benitez-Amado
- Daniel Arias-Aranda
- Tiago Oliveira
- John Day
- Boumediene Ramdani
In Information Systems and Management
- V. Venkatesh
- Michael G. Morris
- Fred D. Davis
- Tiago Oliveira
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- John Day
- R. Rahayu
In Sociology and Political Science
- V. Venkatesh
- Michael G. Morris
- Fred D. Davis
- Tiago Oliveira
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- John Day
- R. Rahayu
Citations in the corpus
- Impact of information technology innovation on firm performance in Kenya (2019, background): “A fi rm ’ s organizational context has an important impact on how it determines its ICT implementation and assimilation (Premkumar, 2003).”
- Implementation Research: A Synthesis of the (2005, background): “w initiate and shepherd the organization through the complex change process (Corrigan & Boyle, 2003; Fairweather et. al., 1974; Klinger et al., 2003; Premkumar, 2003);”
- Augmented reality in support of Industry 4.0 - Implementation challenges and success factors (2019, methodology): “It is based on the idea to enrich the TOE framework based on the technology user context as part of the organisation [105].”
- Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework (2013, background): “…is a large volume of published studies describing the role of compatibility, and they consider it as an essential determinant of IT innovation adoption (Rogers, 2003; Teo et al., 1997; Premkumar and Roberts, 1999; Premkumar, 2003; Ching and Ellis, 2004; Daylami et al., 2005; Zhu et al., 2006).”
- Determinant Factors of E-commerce Adoption by SMEs in Developing Country: Evidence from Indonesia☆ (2015, methodology): “Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small businesses. Omega, 27(4), 467-484. Rahayu, R., & Day, J. (2013). E-Commerce Adoption by Small and Medium Sized Enterprises in Indonesia: An Investigation of Influencing Factors and Benefits. Ramdani, B., Che”
- Adopters and non-adopters of e-procurement in Singapore: An empirical study (2009, background): “[74] found that top management support was associated with e-procurement assimilation while Premkumar [75] found that top management support is an important determinant of the adoption of computermediated communication technologies.”
- SMEs' adoption of enterprise applications: A technology-organisation-environment model (2013, methodology): “Premkumar (2003) found compatibility to be an important determinant of ICT adoption by SMEs.”
- Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research (2007, background): “There have also been a number of meta-analyses of technology adoption research (e.g., Mahmood, Hall, and Leonard 2001; Premkumar 2003) that have appeared more than a decade following Davis’ original work.”
- Adoption of E-Commerce Applications in SMEs (2011, background): “…our profitability Compatibility (1-5 scale) Cbt1 EC is compatible with our culture and values Al-Qirim (2007), Pearson and Grandon (2006) and Premkumar (2003) Cbt2 EC is compatible with our preferred work practices Cbt3 EC-created changes are compatible with our business Cbt4 EC security is…”
- Organisational determinants of information technology adoption and implementation in SMEs: The case of family and cooperative firms (2007, background): “Furthermore, previous literature is widely divergent and not comprehensive enough to create a cumulative research corpus (Premkumar, 2003).”
- Predicting SMEs' adoption of enterprise systems (2009, methodology): “TAM2 (e.g. Venkatesh, 2000); . innovation diffusion theory (e.g. Premkumar, 2003); . the resource-based view (e.g. Mehrtens et al., 2001); . stage theory (e.g. Poon and Swatman, 1999); and . the Unified Theory of Acceptance and Use of Technology (UTAUT) (e.g. Anderson and Schwager, 2004).”
- Factors affecting e-commerce adoption among SMEs in Ghana (2016, background): “Organizational traits seem to be the primary focus of many firm-level studies, particularly those on small business (Premkumar, 2003).”
- Assessing the impact of organizational learning capability on product innovation performance: an empirical test (2008, unknown): “Previous research provides evidence of a positive relationship (Wakasugi and Koyata, 1997; Premkumar, 2003), a negative relationship (Audretsch and Acs, 1991; Rogers, 2004) and a non-significant relationship (Arvanitis, 1997).”
- Understanding e-business adoption across industries in European countries (2010, background): “Correspondingly, a greater integration of existing applications and the internet platform represent a greater capacity for conducting business over the internet (Al-Qirim, 2007; Mirchandani and Motwani, 2001; Premkumar, 2003; Zhu et al., 2006a).”
- Firms patterns of e-business adoption: evidence for the European Union-27. (2009, background): “Correspondingly, a greater integration of existing applications and the internet platform represent a greater capacity of conducting business over the internet (Al-Qirim 2007, Mirchandani and Motwani 2001, Premkumar 2003, Zhu et al. 2006).”