A Dataset on Research Excellence and Technology Commercialization Success in Southeast Asia under the impact of Artificial Intelligence Application and Governance.
Description
This dataset is designed to study the application of generative AI in scientific research at universities in Southeast Asia, focusing on: - The level of generative AI use in research - The influence of organizational, governance, legal, and individual capabilities factors - The impact on research collaboration, adaptability, and research outcomes The dataset consists of 4 worksheets: - Questionnaire: Survey questionnaire - Data_Individual Level: Aggregated data at the individual level - Data_Organization Level: Aggregated data at the organizational level - List of School: List of educational institutions within the scope of the study The main variable groups include: - Demographic questions (8): Role, Exp, Qual, Disc, Country, Type, Name, Involve - Independent variables (69) coded with the prefix IV - Mediating variables (28) coded with the prefix MV - Dependent variables (32) is encoded with the prefix DV The measurement questionnaire uses a 5-point Likert scale, from "1 = Strongly disagree" to "5 = Strongly agree"