A perception-based model for EDI adoption in small businesses using a technology-organization-environment framework

By Kevin K. Y. Kuan, Patrick Y. K. Chau. Information Manager (The), 2001

1,518 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/47265b5eb9c5321aa2ded6ce17ebac2f011663d9

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In Information Systems and Management

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Citations in the corpus

Understanding the determinants of cloud computing adoption (2011, background): “The technological readiness of organisations, meaning technological infrastructure and IT human resources, influences the adoption of new technology (Kuan and Chau, 2001; To and Ngai, 2006; Oliveira and Martins, 2010; Pan and Jang, 2008; Wang et al., 2010; Zhu et al., 2006).”
A bibliometric review of the innovation adoption literature (2018, methodology): “Kuan and Chau, 2001 [120] Perception-based model using TOE framework (including Technology, Organizational and Environmental determinants) is a useful approach for examining factors affecting adoption Electronic data interchange (EDI) Tornatzky and Fleisher’s Technology-OrganizationEnvironment frame”
Understanding e-business adoption across industries in European countries (2010, methodology): “Other empirical studies also validate that positive perception of the benefits of an innovation provides an incentive for its use (Beatty et al., 2001; Gibbs and Kraemer, 2004; Grover and Teng, 1994; Hsu et al., 2006; Iacovou et al., 1995; Kuan and Chau, 2001; Lin and Lin, 2008; Premkumar et al., 19”
Determinants of E-Business Use in U.S. Firms (2006, background): “Many studies use innovation diffusion theory to examine the adoption stage, the first step in innovation diffusion [7, 8,41,56, 60, 71, 79], but there has been significantly less research on innovation use, the stage after adoption.”
The adoption of e-banking in developing countries: A theoretical model for SMEs (2009, background): “Although, all institutions have certain roles to play, however, among all groups, government role are most important (Scupola, 2003) and it was acknowledged in various literatures (Iacovue et al., 1995; Kuan and Chau, 2001).”
Integrative framework for assessing firms' potential to undertake Green IT initiatives via virtualization - A theoretical perspective (2011, methodology): “The TOE theory has been used by a large number of studies to investigate the adoption of, for example, Electronic Data Interchange (EDI) (Kuan and Chau, 2001), open systems (Chau and Tam, 1997), and e-business (Zhu and Kraemer, 2005).”
A resource-based perspective on information technology and firm performance: a meta analysis (2010, methodology): “adopted the technology-organization-environment framework in firm performance research ( Kuan and Chau, 2001”
Understanding the Factors Affecting the Organizational Adoption of Big Data (2018, background): “Many studies have examined the role of technological competence in affecting firms ’ intention to adopt new information technology (e.g., [25, 36, 50, 54]).”
Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level (2006, methodology): “The TOE framework has been utilized for studying different types of innovations [12,22,26,41].”
Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework (2013, methodology): “Several studies have found prior experience to be important in technology adoption decisions (Bandura, 1977; Igbaria et al., 1995; Hunter, 1999; Kuan and Chau, 2001; Lippert and Forman, 2005).”
Toward Blockchain-Based Accounting and Assurance (2017, methodology): “The Technology-Organization-Environment (TOE) framework (Tornatzky, Fleischer, and Chakrabarti 1990) has been used to examine the factors that have signiﬁcant inﬂuence on ERP or EDI adoption (Kuan and Chau 2001; Pan and Jang 2008; Schniederjans and Yadav 2013).”
Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors (2003, methodology): “Their theoretical assertions were supported by a number of empirical studies (for example, Cragg & King, 1993; Grover, 1993; Crook & Kumar, 1998; Kuan & Chau, 2001).”
Business-to-business adoption of eCommerce in China (2007, background): “(2) The Technology-Organization-Environment Model (TOE) [ 49 ,74,84,89,91].”
eCommerce adoption in developing countries: a model and instrument (2005, background): “For instance, Kuan and Chau [35] have suggested a model of EDI adoption based on a technology–organization–environment framework.”