The Role of Espoused National Cultural Values in Technology Acceptance

By Mark Srite, Elena Karahanna. MIS Q., 2006

1,245 citations recorded by the source corpus.

Subfields: Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/dd5c4d95353c4ad212572c6a92882967e4efee61

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Social Psychology

1. Ali Tarhini
2. V. Venkatesh
3. G. Mortimer
4. Sven Laumer
5. Tim Weitzel
6. S. E. Hasan
7. B. Dunphy
8. Larry Neale

In Sociology and Political Science

1. Tao Zhou
2. Milena M. Head
3. Izak Benbasat
4. Dianne Cyr
5. Paul Benjamin Lowry
6. Tamara Dinev
7. V. Venkatesh
8. Arun Rai

Citations in the corpus

• Technology Readiness and Customer Satisfaction with Travel Technologies: A Cross-Country Investigation (2017, neutral): “Differences in uncertainty avoidance, masculinity/femininity, and power distance moderate the relationships in the widely accepted technology acceptance model (Srite and Karahanna 2006).”
• Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats (2013, background): “…of such moderators or contextual factors considered in IS research include individual cultural differences (e.g., individualism versus collectivism; Srite and Karahanna 2006), individual demographic differences (e.g., gender, income levels, and education; Hsieh et al. 2008; Venkatesh et al. 2003),…”
• Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture (2008, background): “We know that direct measures of cultural values are highly desirable and future research in this domain should consider measuring culture directly [78].”
• Investigating the factors influencing the adoption of m-banking: A cross cultural study (2015, background): “Srite and Karahanna (2006) proposed that masculinity and feminine cultures may differ in the impact of perceived ease of use and intention to adopt technology, yet their study demonstrated that there was no significant difference on the relationship between ease of use and intention to adopt…”
• The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption (2014, background): “Motivated by research that shows that behavioral models do not universally hold across cultures (Srite and Karahanna 2006), we explore how culture may influence individual-level e-commerce adoption.”
• Managing Employee Compliance with Information Security Policies: The Critical Role of Top Management and Organizational Culture (2012, background): “Similarly, Srite and Karahanna (2006) strongly argued for using espoused (individually perceived) cultural values when studying how national culture shapes individual behavior towards technology acceptance.”
• Entrepreneurial intentions in the third age: the impact of perceived age norms (2011, background): “Entrepreneurial environment is included as a control variable in the second step to determine its possible effect on all endogenous variables (Srite and Karahanna 2006).”
• Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption (2009, methodology): “…taken subjective norm as a single construct that includes the effects of various salient referents, Mark Srite and Elena Karahanna ‘suggest that social norms need to be conceptualized in a more distinguishing manner to capture the nuances of the social environment’ (Srite and Karahanna, 2006).”