Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach

Guney Celbis*, Pui Hang Wong, Karima Kourtit, Peter Nijkamp

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This paper seeks to study work-related and geographical conditions under which innovativeness is stimulated through the analysis of individual and regional data dating from just prior to the smartphone age. As a result, by using the ISSP 2005 Work Orientations Survey, we are able to examine the role of work flexibility, among other work-related conditions, in a relatively more traditional context that mostly excludes modern, smartphone-driven, remote-working practices. Our study confirms that individual freedom in the work place, flexible work hours, job security, living in suburban areas, low stress, private business activity, and the ability to take free time off work are important drivers of innovation. In particular, through a spatial econometric model, we identified an optimum level for weekly work time of about 36 h, which is supported by our findings from tree-based ensemble models. The originality of the present study is particularly due to its examination of innovative output rather than general productivity through the integration of person-level data on individual work conditions, in addition to its novel methodological approach which combines machine learning and spatial econometric findings
Original languageEnglish
Article number13426
Number of pages29
JournalSustainability
Volume13
Issue number23
DOIs
Publication statusPublished - Dec 2021

JEL classifications

  • j68 - Mobility, Unemployment, and Vacancies: Public Policy
  • o32 - Management of Technological Innovation and R&D

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

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