@article{c0c0c2590891404f9733fd97e6023add,
title = "Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach",
keywords = "regional innovation systems, work flexibility, work hours, machine learning, spatial econometrics, RESOURCE MANAGEMENT-PRACTICES, RESEARCH-AND-DEVELOPMENT, ECONOMIC-GROWTH, FIRM-LEVEL, CREATIVITY, SYSTEMS, MODELS, LABOR, PERFORMANCE",
author = "Celbis, {Mehmet Gueney} and Pui-Hang Wong and Karima Kourtit and Peter Nijkamp",
year = "2021",
month = dec,
day = "3",
doi = "10.3390/su132313426",
language = "English",
volume = "13",
journal = "Sustainability",
issn = "2071-1050",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "23",
}