Bridging Innovation and Knowledge Ecosystems for Sustainable Digital Transformation: A Mixed Methods Study

This dataset contains fully anonymized survey responses from 312 firms across the manufacturing, retail, and technology sectors in North America and Europe, collected between January and June 2024 to test an integrated innovation‑knowledge ecosystem framework for sustainable digital transformation. The data comprise 16 items measured on a 7‑point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree), operationalizing five theoretical constructs: Digitalization Maturity (3 items, CR = 0.89, AVE = 0.62), Integrated Innovation‑KM Capabilities (4 items, CR = 0.91, AVE = 0.65), Knowledge Spillovers (3 items, CR = 0.84, AVE = 0.58), Collaborative Governance (3 items, CR = 0.82, AVE = 0.57), and Sustainability Performance (3 items, CR = 0.90, AVE = 0.66), with all constructs demonstrating good reliability and convergent validity. The dataset is provided as a CSV file (Raw_Data_Anonymized.csv) with one ID column (Firm_001 to Firm_312) and 16 item‑level variables, fully anonymized with no personally identifiable information, and is compatible with all major statistical software including Excel, SPSS, R, Python, and AMOS for structural equation modeling.