@article{c0c0c2590891404f9733fd97e6023add,
title = "Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach",
keywords = "CREATIVITY, ECONOMIC-GROWTH, FIRM-LEVEL, LABOR, MODELS, PERFORMANCE, RESEARCH-AND-DEVELOPMENT, RESOURCE MANAGEMENT-PRACTICES, SYSTEMS, machine learning, regional innovation systems, spatial econometrics, work flexibility, work hours, Spatial econometrics, Regional innovation systems, Work hours, Work flexibility, Machine learning",
author = "Celbis, \{Mehmet Gueney\} and Pui-Hang Wong and Karima Kourtit and Peter Nijkamp",
year = "2021",
month = dec,
day = "1",
doi = "10.3390/su132313426",
language = "English",
volume = "13",
journal = "Sustainability",
issn = "2071-1050",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "23",
}