AI_Transformation_Thailand_RawData
Description
The dataset includes the final survey instruments and interview protocols used in the study, along with the anonymized raw data from both phases. Group 1: Research Documentation & Categories Codebook.csv: The essential metadata file. It provides the dictionary mapping variable names (e.g., DCC1) used in the statistical software to the full survey questions and defines the response scales. Lists.csv: Categorical definition lists used for data entry, such as a standardized list of industry sectors (Manufacturing, Retail, Finance), company size categories, and respondent job titles. Group 2: Quantitative Data & Analysis Support (Phase 2) Quant_RawData.csv: The core dataset supporting the structural model. It contains the anonymized responses from all 358 participating firms. Data includes demographics and the Likert-scale responses used to measure the four pillars (Data-Centric Capabilities, Ecosystem Navigation, Strategic Mandate, AI Integration) and Firm Performance. Descriptives.csv: A derived output file containing pre-calculated descriptive statistics (Mean, Standard Deviation, Skewness, Kurtosis) for every main variable, allowing for quick validation. Model_Targets.csv: Processed data specifically prepared for the PLS-SEM analysis. It includes the calculated latent variable scores (target scores) for each construct rather than the individual items. Group 3: Qualitative Coding (Phase 1) Qual_Coding.csv: The grounded theory data derived from interviews with 17 senior executives. It maps interview themes and anonymized insights to the four primary constructs identified in the exploratory phase. Group 4: Overview Dashboard.csv: A high-level summary view providing an aggregated visualization of the demographics and main construct averages.
Files
Institutions
- Kasetsart UniversityBangkok, Bangkok