Database research record2024·Indonesia (Makassar)
Determinants determining the adoption of technological innovation of urban farming: Employing binary logistic regression model in examining Rogers' framework
Eka Triana Yuniarsih, Muslim Salam, Muhammad Hatta Jamil, Andi Tenriawaru
Journal of Open Innovation Technology Market and Complexity
Urban Farm DB summary
This study aimed to identify key factors influencing the adoption of technological innovation in urban farming (ITUF) in Makassar City, South Sulawesi Province, Indonesia. Primary data was collected through a structured survey of 334 randomly selected individuals from 14 sub-districts and analyzed using Binary Logistic Regression. The study revealed that eight variables, including farming knowledge and experience, education, and involvement in urban farming organizations, significantly influenced the adoption rate.