A review of the predictors, linkages, and biases in IT innovation adoption research

By Anand Jeyaraj, Joseph W. Rottman, Mary C. Lacity. Journal of Information and Technology, 2006

1,233 citations recorded by the source corpus.

We present a review and analysis of the rich body of research on the adoption and diffusion of IT-based innovations by individuals and organizations. Our review analyzes 48 empirical studies on individual and 51 studies on organizational IT adoption published between 1992 and 2003. In total, the sample contains 135 independent variables, eight dependent variables, and 505 relationships between independent and dependent variables. Furthermore, our sample includes both quantitative and qualitative studies. We were able to include qualitative studies because of a unique coding scheme, which can easily be replicated in other reviews. We use this sample to assess predictors, linkages, and biases in individual and organizational IT adoption research. The best predictors of individual IT adoption include Perceived Usefulness, Top Management Support, Computer Experience, Behavioral Intention, and User Support. The best predictors of IT adoption by organizations were Top Management Support, External Pressure, Professionalism of the IS Unit, and External Information Sources. At the level of independent variables, Top Management Support stands as the main linkage between individual and organizational IT adoption. But at an aggregate level, two collections of independent variables were good predictors of both individual and organizational IT adoption. These were innovation characteristics and organizational characteristics. Thus, we can consistently say that generic characteristics of the innovation and characteristics of the organization are strong predictors of IT adoption by both individuals and organizations. Based on an assessment of the predictors, linkages, and known biases, we prescribe 10 areas for further exploration.

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

View Paper: https://www.semanticscholar.org/paper/0a2e4ab0a12c3f335e2b510ad293179f56840c60

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Citations in the corpus

Understanding determinants of cloud computing adoption using an integrated TAM-TOE model (2015, neutral): “For this, contrary to the findings of Jeyaraj et al. (2006), we argue that since the significance of variables varies with the context such as technology, country of study, and size of companies (turnover, number of employees, etc.), etc., it is advisable that no variable should be discarded just…”
A Framework for Guiding and Evaluating Literature Reviews (2015, neutral): “For instance, Jeyaraj, Rottman, and Lacity (2006) justify their aggregative review by stressing the richness and diversity of the IT-based innovation research stream and underlining the existence of conflicting and contradictory findings on the antecedents of adoption.”
SMEs' e-commerce adoption: perspectives from Denmark and Australia (2009, background): “The generic innovation characteristics and organization l characteristics are strong predictors of IT adoption by both individuals and organizations (Jeyaraj et al., 2006).”
The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, methodology): “Web-based Virtual M-Learning System (8) Chiu and Wang (2008), Jong and Wang (2009), Keller et al. (2007), Nistor et al. (2010), Sumak et al. (2010), Tsai et al. (2009), van Raaij and Schepers (2008), Wang et al.”
Innovators and Early Adopters in the Diffusion of Innovations: A Literature Review (2017, background): “…of Griliches (1957) exploring the diffusion of hybrid corn, a plethora of studies have analysed the diffusion of innovations in a variety of contexts ranging from agriculture (e.g. Berger, 2001), to health care (e.g. Berwick, 2003) and information technology (e.g. Jeyaraj et al., 2006).”
Social commerce adoption using TOE framework: An empirical investigation of Saudi Arabian SMEs (2020, background): “Jeyaraj, Rottman, and Lacity (2006) suggested that top management support is one of the three most critical predictors for IT innovation adoption on the organisational level.”
Online banking adoption: an empirical analysis (2010, methodology): “Jeyaraj et al. (2006) conducted a comprehensive review of predictors of technology adoptions by organizations and individuals that were published between 1992 and 2003 and found that TAM is one of the most widely used technology adoption model.”
Integrated Theoretical Framework for a Homeowner's Decision in Favor of an Innovative Residential Heating System (2010, background): “In their meta-analysis Jeyaraj et al. (2006) review studies on the acceptance of IT-Innovations.”
A review of the IT outsourcing literature: Insights for practice (2009, methodology): “…(Mahnke et al., 2008), the design of special interfaces between client and offshore supplier employees (Oshri et al., 2007a; Kaiser and Hawk, 2004; Leonardi and Bailey, 2008; Rottman and Lacity, 2006), and the use of increased number of liaisons (Gopal et al., 2003; Lacity and Rott-man, 2008).”