Technology Acceptance Survey for Palestinian Hospital EHR Systems

Survey data from 220 healthcare professionals in Palestinian hospitals assessed eight Technology-Organization-Environment constructs and Technology Acceptance Model beliefs. The study, conducted by Ahmad Dweikat from December 2023 to June 2024, used partial least squares structural equation modeling to validate the instrument and explain up to 74% of variance in behavioral intention.

Use Cases

• Model the relationship between system quality, competitive pressure, and perceived usefulness/ease of use using validated construct scores.
• Predict behavioral intention to use electronic health systems from perceived usefulness and ease of use scores via regression analysis.
• Analyze the influence of organizational support constructs like top management support and IT training on technology acceptance beliefs.
• Validate the psychometric properties of the extended TAM-TOE instrument by examining Cronbach's α and AVE values across constructs.

Strengths

• Survey data from 220 healthcare professionals provides a substantive sample for analysis.
• Instrument validation shows strong psychometric properties with Cronbach's α values ranging from 0.72 to 0.91.
• Structural equation model explained 74% of variance in behavioral intention, indicating strong explanatory power.

Limitations

• Small dataset size of 5.5 KB indicates limited raw data, likely containing only summary statistics or construct definitions.
• Geographic scope is limited to Palestinian hospitals, reducing generalizability to other healthcare contexts.
• No raw respondent-level data or column details are provided, restricting deep statistical re-analysis.

Provenance

Source

Ahmad Dweikat via figshare.

Collection Method

Cross-sectional survey of healthcare professionals.

Time Range

December 2023 to June 2024.

Freshness

Data collected from December 2023 to June 2024, with platform entry updated in April 2026.

Geography

Palestinian hospitals.