Survey Instrument for the Empirical Validation of the BiogAI-RMF, AI-Driven Risk Management Framework for Biogas facilities

Description

This file contains the survey instrument developed to support the empirical validation of the BiogAI-RMF framework for wastewater treatment and biogas production. The questionnaire examines risk factors, effective risk management, artificial intelligence adoptability, performance outcomes, and the perceived usability and integration of the proposed framework. It was designed for professionals working in wastewater treatment, anaerobic digestion, biogas production, engineering, operations, maintenance, health and safety, environmental management, regulation, risk management, and digital technologies. Items use a five-point Likert scale. The instrument supports descriptive analysis, reliability and validity assessment, partial least squares structural equation modelling, regression analysis, and fuzzy logic modelling. The survey was administered electronically through Microsoft Forms, participation was voluntary, and responses were collected anonymously. The instrument is provided to support methodological transparency, reproducibility, and future research in AI-enabled risk management for wastewater and biogas systems.

Institutions

• University of Surrey

  England, Guildford

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