Survey dataset on determinants of Energy Management System (EnMS) adoption in Taiwan’s healthcare sector

Description

This dataset contains anonymized survey data used to analyse the determinants of Energy Management System (EnMS) adoption in Taiwan’s healthcare sector. It includes responses from 304 healthcare professionals across hospitals and other healthcare organisations, covering industry category, institution type, job grade, current EnMS usage, and multiple Likert‑scale items operationalising constructs from the Technology–Organization–Environment (TOE) framework (e.g. top management support, financial and investment efficiency, market competitive pressure, information and digitalisation, information security support, sustainability impact, and EnMS adoption intention). All direct identifiers and timestamps have been removed in accordance with the IRB‑exempt approval (NCCU‑REC‑202312‑I116), which specifies that no collected information can identify individual subjects. Accompanying files provide a detailed codebook and example analysis syntax to facilitate reuse and replication.

Steps to reproduce

1. Download the anonymized survey dataset and the accompanying codebook from this repository. 2. Import the dataset into statistical software (e.g., SPSS, R, or Stata) using the variable definitions and coding schemes provided in the codebook. 3. Reconstruct composite scales for each TOE construct (e.g., top management support, financial and investment efficiency, market competitive pressure, technology readiness, sustainability impact, EnMS adoption intention) by averaging the corresponding Likert-scale items as described in the associated article and codebook. 4. Replicate the reliability and validity checks (Cronbach’s alpha, CFA where applicable) to verify the psychometric properties of the constructs. 5. Run the multiple linear regression models, including the stepwise regression specification, with EnMS adoption intention as the dependent variable and the TOE-based constructs as independent variables, following the model description in the associated article and, where provided, the example syntax file in this repository.

Institutions

• National Chengchi University

  Taiwan, Taipei

Categories

Licence