Beyond Automation: Artificial Intelligence Adoption for Creative Entrepreneurial Ideation among Generation Z

This dataset originates from an empirical investigation titled “Beyond Automation: Artificial Intelligence Adoption for Creative Entrepreneurial Ideation among Generation Z.” The primary objective of this research is to unpack how Generation Z utilizes artificial intelligence, moving past basic task automation to actively drive and enrich creative ideation in entrepreneurial contexts. By examining this shift, the study sheds light on the evolving relationship between young innovators and digital technology. Empirical data was gathered through a quantitative survey targeting 550 Gen Z respondents in Indonesia who leverage AI platforms for creative and business-related brainstorming. To evaluate the structural relationships, the study employed Partial Least Squares–Structural Equation Modeling (PLS-SEM) via SmartPLS. This repository contains the complete analytical output, featuring path coefficients, outer loadings, model quality criteria (reliability/validity), and comprehensive bootstrapping estimates, all compiled in .xlsx format. To ensure strict ethical standards, all participant identifiers have been fully anonymized. This dataset is shared publicly to foster research replication, cross-study comparisons, and to contribute to the broader discourse on digital entrepreneurship and technological adoption.