this work references cited by second hopReferences
- 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
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- 2014Partial least squares structural equation modeling (PLS-SEM)11,717 cited
- 1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation9,145 cited
- 1995Task-Technology Fit and Individual Performance5,991 cited
- 2013Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance5,307 cited
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- 2006HOW MUCH DO HIGH‐PERFORMANCE WORK PRACTICES MATTER? A META‐ANALYSIS OF THEIR EFFECTS ON ORGANIZATIONAL PERFORMANCE2,097 cited
- 2011Literature Review of Information Technology Adoption Models at Firm Level1,341 cited
- 2020Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects
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