- Amabile, T.M.; Conti, R.; Coon, H.; Lazenby, J.; Herron, M. Assessing the work environment for creativity. Acad. Manag. J. 1996, 39, 1154â1184.
Paper not yet in RePEc: Add citation now
- Amabile, T.M.; Hadley, C.N.; Kramer, S.J. Creativity under the gun. Harv. Bus. Rev. 2002, 80, 52â63.
Paper not yet in RePEc: Add citation now
- Anselin, L. Spatial Econometrics: Methods and Models; Kluwer Academic Publishers: Dordrecht, The Netherlands, 1988.
Paper not yet in RePEc: Add citation now
- Armbruster, B. B. Metacognition in creativity. In Handbook of Creativity: Perspectives on Individual Differences; Glover, J., Ronning, R., Reynolds, C., Eds.; Springer: Boston, MA, USA, 1989; pp. 177â182.
Paper not yet in RePEc: Add citation now
Arvanitis, S. Modes of labor flexibility at firm level: Are there any implications for performance and innovation? Evidence for the Swiss economy. Ind. Corp. Chang. 2005, 14, 993â1016. [CrossRef]
Arvanitis, S.; Seliger, F.; Stucki, T. The relative importance of human resource management practices for innovation. Econ. Innov. New Technol. 2016, 25, 769â800. [CrossRef]
Asheim, B.T.; Coenen, L. Knowledge bases and regional innovation systems: Comparing Nordic clusters. Res. Policy 2005, 34, 1173â1190. [CrossRef]
Athey, S.; Imbens, G.W. Machine learning methods that economists should know about. Annu. Rev. Econ. 2019, 11, 685â725. [CrossRef]
- Atkinson, E.J.; Therneau, T.M. An Introduction to Recursive Partitioning Using the RPART Routines; Mayo Foundation: Rochester, NY, USA, 2000.
Paper not yet in RePEc: Add citation now
- Ãzgüzel, C. Agglomeration Effects in a Developing Country: Evidence from Turkey; Mimeo, Paris School of Economics halshs-02878368; Economic Research Forum: Giza, Egypt, 2020.
Paper not yet in RePEc: Add citation now
Ballestar, M.T.; Doncel, L.M.; Sainz, J.; Ortigosa-Blanch, A. A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers. Technol. Forecast. Soc. Chang. 2019, 149, 119756. [CrossRef]
- Barge-Gil, A.; JesusNieto, M.; Santamaria, L. Hidden innovators: The role of non-R&D activities. Technol. Anal. Strateg. Manag. 2011, 23, 415â432.
Paper not yet in RePEc: Add citation now
- Beaudry, C.; Schiffauerova, A. Whoâs right, Marshall or Jacobs? The localization versus urbanization debate. Res. Policy 2009, 38, 318â337. [CrossRef]
Paper not yet in RePEc: Add citation now
- Bergamini, E.; Zachmann, G. Exploring EUâs regional potential in low-carbon technologies. Sustainability 2021, 13, 32. [CrossRef]
Paper not yet in RePEc: Add citation now
- Beugelsdijk, S. Strategic human resource practices and product innovation. Organ. Stud. 2008, 29, 821â847. [CrossRef]
Paper not yet in RePEc: Add citation now
Bilbao-Osorio, B.; RodrÃguez-Pose, A. From R&D to innovation and economic growth in the EU Growth Chang. 2004, 35, 434â455.
- Birkinshaw, J.; Hamel, G.; Mol, M.J. Management innovation. Acad. Manag. Rev. 2008, 33, 825â845. [CrossRef]
Paper not yet in RePEc: Add citation now
Bloch, C.; Bugge, M.M. Public sector innovationâFrom theory to measurement. Struct. Chang. Econ. Dyn. 2013, 27, 133â145. [CrossRef]
- Breiman, L. Bagging predictors. Mach. Learn. 1996, 24, 123â140. [CrossRef]
Paper not yet in RePEc: Add citation now
- Breiman, L. Random forests. Mach. Learn. 2001, 45, 5â32. [CrossRef]
Paper not yet in RePEc: Add citation now
- Breiman, L. Statistical modeling: The two cultures (with comments and a rejoinder by the author). Stat. Sci. 2001, 16, 199â231. [CrossRef]
Paper not yet in RePEc: Add citation now
- Breiman, L.; Cutler, A. Random Forests. Available online: https://www.stat.berkeley.edu/~breiman/RandomForests/cc_home. htm (accessed on 1 February 2020).
Paper not yet in RePEc: Add citation now
- Breiman, L.; Friedman, J.H.; Olshen, R.A.; Stone, C.J. Classification and Regression Trees; Wadsworth and Brooks: Monterey, CA, USA, 1984.
Paper not yet in RePEc: Add citation now
Buesa, M.; Heijs, J.; Baumert, T. The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach. Res. Policy 2010, 39, 722â735. [CrossRef]
Burtch, G.; Carnahan, S.; Greenwood, B.N. Can you gig it? An empirical examination of the gig economy and entrepreneurial activity. Manag. Sci. 2018, 64, 5497â5520. [CrossRef]
Camps, S.; Marques, P. Exploring how social capital facilitates innovation: The role of innovation enablers. Technol. Forecast. Soc. Chang. 2014, 88, 325â348. [CrossRef]
Caragliu, A.; Nijkamp, P. Space and knowledge spillovers in European regions: The impact of different forms of proximity on spatial knowledge diffusion. J. Econ. Geogr. 2016, 16, 749â774. [CrossRef]
Caragliu, A.; Nijkamp, P. The impact of regional absorptive capacity on spatial knowledge spillovers: The Cohen and Levinthal model revisited. Appl. Econ. 2012, 44, 1363â1374. [CrossRef] Sustainability 2021, 13, 13426 28 of 29
Celbis, M.G.; Turkeli, S. Does Too Much Work Hamper Innovation? Evidence for Diminishing Returns of Work Hours for Patent Grants J. Glob. Policy Gov. 2015, 17, 97â116.
- Celbiş, M.G. A machine learning approach to rural entrepreneurship. Pap. Reg. Sci. 2021, 100, 1079â1104. [CrossRef]
Paper not yet in RePEc: Add citation now
Celbiş, M.G.; Crombrugghe, D. Internet infrastructure and regional convergence: Evidence from Turkey. Pap. Reg. Sci. 2018, 97, 387â409. [CrossRef]
- Celbiş, M.G.; Wong, P.-H.; Guznajeva, T. Regional integration and the economic geography of Belarus. Eurasian Geogr. Econ. 2018, 59, 462â495. [CrossRef]
Paper not yet in RePEc: Add citation now
- Chen, T.; He, T.; Benesty, M.; Khotilovich, V.; Tang, Y. xgboost: Extreme Gradient Boosting; R Package Version 0.4-2; 2015, pp. 1â4. Available online: http://www.milbo.org/rpart-plot/index.html (accessed on 20 September 2021).
Paper not yet in RePEc: Add citation now
- Chesbrough, H.W. Open Innovation: The New Imperative for Creating and Profiting from Technology; Harvard Business Press: Boston, MA, USA, 2003.
Paper not yet in RePEc: Add citation now
Collignon, O.; Han, J.; An H.; Oh, S.; Lee, Y. Comparison of the modified unbounded penalty and the LASSO to select predictive genes of response to chemotherapy in breast cancer. PLoS ONE 2018, 13, 15. [CrossRef]
Cooke, P.; Uranga, M.G.; Etxebarria, G. Regional innovation systems: Institutional and organisational dimensions. Res. Policy 1997, 26, 475â491. [CrossRef]
Cui, D.; Wei, X.; Wu, D.; Cui, N.; Nijkamp, P. Leisure time and labor productivity: A new economic view rooted from sociological perspective. Economics 2019, 13, 1â24.
DâEste, P.; Rentocchini, F.; Vega-Jurado, J. The role of human capital in lowering the barriers to engaging in innovation: Evidence from the Spanish innovation survey. Ind. Innov. 2014, 21, 1â19. [CrossRef]
- Dainow, E. A Concise History of Computers, Smartphones, and the Internet; CreateSpace Independent Publishing Platform: Scotts Valley, CA, USA, 2017.
Paper not yet in RePEc: Add citation now
Dakhli, M.; DeClercq, D. Human capital, social capital, and innovation: A multi-country study. Entrep. Reg. Dev. 2004, 16, 107â128. [CrossRef]
DeDominicis, L.; Florax, R.J.; deGroot, H.L. Regional clusters of innovative activity in Europe: Are social capital and geographical proximity key determinants? Appl. Econ. 2013, 45, 2325â2335. [CrossRef]
- Derks, D.; van Duin, D.; Tims, M.; Bakker, A.B. Smartphone use and work-home interference: The moderating role of social norms and employee work engagement. J. Occup. Organ. Psychol. 2014, 88, 155â177. [CrossRef]
Paper not yet in RePEc: Add citation now
Elhorst, J.P. Applied spatial econometrics: Raising the bar. Spat. Econ. Anal. 2010, 5, 9â28. [CrossRef]
Elhorst, J.P. Specification and estimation of spatial panel data models. Int. Reg. Sci. Rev. 2003, 26, 244â268. [CrossRef]
Elsbach, K.D.; Hargadon, A.B. Enhancing creativity through âmindlessâ work: A framework of workday design. Organ. Sci. 2006, 17, 470â483. [CrossRef]
Ertur, C.; Koch, W. Growth, technological interdependence and spatial externalities: Theory and evidence. J. Appl. Econom. 2007, 22, 1033â1062. [CrossRef]
- Etzkowitz, H.; Klofsten, M. The innovating region: Toward a theory of knowledge-based regional development. R D Manag. 2005, 35, 243â255. [CrossRef] Sustainability 2021, 13, 13426 26 of 29
Paper not yet in RePEc: Add citation now
Fagerberg, J.; Srholec, M. National innovation systems, capabilities and economic development. Res. Policy 2008, 37, 1417â1435. [CrossRef]
Feldman, M.P. The new economics of innovation, spillovers and agglomeration: A review of empirical studies. Econ. Innov. New Technol. 1999, 8, 5â25. [CrossRef]
Fingleton, B.; López-Bazo, E. Empirical growth models with spatial effects. Pap. Reg. Sci. 2006, 85, 177â198. [CrossRef]
Fischer, M.M. Regions, technological interdependence and growth in Europe. Rom. J. Reg. Sci. 2009, 3, 1â17.
Freeman, C.; Soete, L. The Economics of Industrial Innovation; 3rd ed.; MIT Press: Cambridge, MA, USA, 1997.
- Friedman, J.; Hastie, T.; Tibshirani, R. The Elements of Statistical Learning; Springer Series in Statistics; Springer: New York, NY, USA, 2001.
Paper not yet in RePEc: Add citation now
- Friedman, J.H. Greedy function approximation: A gradient boosting machine. Ann. Stat. 2001, 5, 1189â1232. [CrossRef]
Paper not yet in RePEc: Add citation now
Friedman, J.H. Stochastic gradient boosting. Comput. Stat. Data Anal. 2002, 38, 367â378. [CrossRef]
Gao, Y.; Zhao, X.; Xu, X.; Ma, F. A study on the cross level transformation from individual creativity to organizational creativity. Technol. Forecast. Soc. Chang. 2021, 171, 120958. [CrossRef]
Glaeser, E.L.; Gottlieb, J.D. The wealth of cities: Agglomeration economies and spatial equilibrium in the United States. J. Econ. Lit. 2009, 47, 983â1028. [CrossRef]
- Goldstein, A.; Kapelner, A.; Bleich, J.; Pitkin, E. Peeking inside the black box: Visualizing statistical learning with plots of individual conditional expectation. J. Comput. Graph. Stat. 2015, 24, 44â65. [CrossRef]
Paper not yet in RePEc: Add citation now
- Greenwell, B.M. pdp: An R package for constructing partial dependence plots. R J. 2017, 9, 421â436. [CrossRef]
Paper not yet in RePEc: Add citation now
Gu, Y.; Hu, L.; Zhang, H.; Hou, C. Innovation ecosystem research: Emerging trends and future research. Sustainability 2021, 13, 11458. [CrossRef]
Hervás-Oliver, J.L.; Parrilli, M.D.; RodrÃguez-Pose, A.; Sempere-Ripoll, F. The drivers of SME innovation in the regions of the EU. Res. Policy 2021, 50, 104316. [CrossRef]
- Hoxha, S.; Kleinknecht, A. Do trustful laborâManagement relations enhance innovation? Evidence from German WSI data. Rev. Soc. Econ. 2021, 79, 261â285. [CrossRef]
Paper not yet in RePEc: Add citation now
Hoxha, S.; Kleinknecht, A. When labour market rigidities are useful for innovation: Evidence from German IAB firm-level data. Res. Policy 2020, 49, 104066. [CrossRef]
- Imbens, G.; Athey, S. Breiman's two cultures: A perspective from econometrics. Obs. Stud. 2021, 7, 127â133. [CrossRef]
Paper not yet in RePEc: Add citation now
- International Labour Organization. Teleworking arrangements during the COVID-19 crisis and beyond. In Proceedings of the 2nd Employment Working Group Meeting under the 2021 Italian Presidency of the G20, online, 14â16 April 2021.
Paper not yet in RePEc: Add citation now
- ISSP 2005-Work Orientations III Variable Report Documentation Release 2013/07/22. GESISâLeibniz Institute for the Social Sciences. Archive-Study-No. ZA4350 Version 2.0.0. 2005. Available online: https://www.gesis.org/en/issp/modules/isspmodules -by-topic/work-orientations/2005 (accessed on 20 September 2021). doi:10.4232/1.11648.
Paper not yet in RePEc: Add citation now
- James, G.; Witten, D.; Hastie, T.; Tibshirani, R. An Introduction to Statistical Learning; Springer: New York, NY, USA, 2013.
Paper not yet in RePEc: Add citation now
- Jin, S.; Noh, M.; Lee, Y. H-Likelihood Approach to Factor Analysis for Ordinal Data. Struct. Equ. Model. 2018, 25, 530â540. [CrossRef]
Paper not yet in RePEc: Add citation now
- Jin, S.; Noh, M.; Yang-Wallentin, F.; Lee, Y. Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables. Struct. Equ. Model. 2021, 28, 1â10.
Paper not yet in RePEc: Add citation now
Jones, C.I. R&D-based models of economic growth. J. Political Econ. 1995, 103, 759â784.
Kianto, A.; Sáenz, J.; Aramburu, N. Knowledge-based human resource management practices, intellectual capital and innovation. J. Bus. Res. 2017, 81, 11â20. [CrossRef]
Kim, T.S.; Sohn, S.Y. Machine-learning-based deep semantic analysis approach for forecasting new technology convergence. Technol. Forecast. Soc. Chang. 2020, 157, 120095. [CrossRef]
- Koh, A.-T. Linking learning, knowledge creation, and business creativity: A preliminary assessment of the East Asian quest for creativity. Technol. Forecast. Soc. Chang. 2000, 64, 85â100. [CrossRef]
Paper not yet in RePEc: Add citation now
- Kourtit, K.; Nijkamp, P. Creative actors and historicalâcultural assets in urban regions. Reg. Stud. 2018, 53, 977â990. [CrossRef]
Paper not yet in RePEc: Add citation now
Kourtit, K.; Nijkamp, P.; Lowik, S.; Van Vught, F.; ; Vulto, P. From islands of innovation to creative hotspots. Reg. Sci. Policy Pract. 2011, 3, 145â161. [CrossRef] Sustainability 2021, 13, 13426 27 of 29
Krammer, S.M. Human resource policies and firm innovation: The moderating effects of economic and institutional context. Technovation 2021, 2, 102366. [CrossRef]
Kratzer, J.; Meissner, D.; Roud, V. Open innovation and company culture: Internal openness makes the difference. Technol. Forecast. Soc. Chang. 2017, 119, 128â138. [CrossRef]
- Laursen, K.; Foss, N.J. Human resource management practices and innovation. In The Oxford Handbook of Innovation Management; Dodgson, M., Gann, D., Phillips, N, Eds.; Oxford University Press: Oxford, UK, 2014; pp. 505â529.
Paper not yet in RePEc: Add citation now
Laursen, K.; Foss, N.J. New human resource management practices, complementarities and the impact on innovation performance. Camb. J. Econ. 2003, 27, 243â263. [CrossRef]
- LeSage, J.; Pace, R.K. Introduction to Spatial Econometrics; Chapman and Hall/CRC: Boca Raton, FL, USA, 2009.
Paper not yet in RePEc: Add citation now
Leydesdorff, L.; Etzkowitz, H. The triple helix as a model for innovation studies. Sci. Public Policy 1998, 25, 195â203.
- Li, G.-C.; Lai, R.; DâAmour, A.; Doolin, D.M.; Sun, Y.; Torvik, V.I.; Amy, Z.Y.; Fleming, L. Disambiguation and co-authorship networks of the US patent inventor database (1975â2010). Res. Policy 2014, 43, 941â955. [CrossRef]
Paper not yet in RePEc: Add citation now
- Lundvall, B.-Ã
. National Systems of Innovation: Toward a Theory of Innovation and Interactive Learning; Pinter Publishers: London, UK, 1992.
Paper not yet in RePEc: Add citation now
Michie, J.; Sheehan, M. Labour market deregulation, âflexibilityâ and innovation. Camb. J. Econ. 2003, 27, 123â143. [CrossRef]
Mullainathan, S.; Spiess, J. Machine learning: An applied econometric approach. J. Econ. Perspect. 2017, 31, 87â106. [CrossRef]
- Nelson, R.R. National Innovation Systems: A Comparative Analysis; Oxford University Press: New York, NY, USA, 1993.
Paper not yet in RePEc: Add citation now
- OECD Enhancing Productivity in UK Core Cities; OECD: Paris, France, 2020.
Paper not yet in RePEc: Add citation now
- Ord, K. Estimation methods for models of spatial interaction. J. Am. Stat. Assoc. 1975, 70, 120â126. [CrossRef]
Paper not yet in RePEc: Add citation now
- Petruzzelli, A.M. The impact of technological relatedness, prior ties, and geographical distance on universityâindustry collaborations: A joint-patent analysis. Technovation 2011, 31, 309â319. [CrossRef]
Paper not yet in RePEc: Add citation now
Ponds, R.; van Oort, F.; Frenken, K. Innovation, spillovers and universityâIndustry collaboration: An extended knowledge production function approach. J. Econ. Geogr. 2009, 10, 231â255. [CrossRef]
Ponsiglione, C.; Quinto, I.; Zollo, G. Regional innovation systems as complex adaptive systems: The case of lagging European regions. Sustainability 2018, 10, 2862. [CrossRef]
SantamarÃa, L.; Nieto, M.J.; Barge-Gil, A. Beyond formal R&D: Taking advantage of other sources of innovation in low-and medium-technology industries. Res. Policy 2009, 38, 507â517.
- Sarwar, M.; Soomro, T.R. Impact of smartphoneâs on society. Eur. J. Sci. Res. 2013, 98, 216â226.
Paper not yet in RePEc: Add citation now
Schonlau, M. Boosted regression (boosting): An introductory tutorial and a stata plugin. Stata J. 2005, 5, 330â354. [CrossRef] Sustainability 2021, 13, 13426 29 of 29
- Schumpeter, J.A. The Theory of Economic Development; Transaction Publishers: London, UK, 1934.
Paper not yet in RePEc: Add citation now
- Seeck, H.; Diehl, M.R. A literature review on HRM and innovationâtaking stock and future directions. Int. J. Hum. Resour. Manag. 2017, 28, 913â944. [CrossRef]
Paper not yet in RePEc: Add citation now
Shearmur, R.; Doloreux, D. How open innovation processes vary between urban and remote environments: Slow innovators, market-sourced information and frequency of interaction. Entrep. Reg. Dev. 2016, 28, 337â357. [CrossRef]
Strobel, N.; Kratzer, J. Obstacles to innovation for SMEs: Evidence from Germany. Int. J. Innov. Manag. 2017, 21, 1750030. [CrossRef]
Suominen, A.; Toivanen, H.; Seppänen, M. Firmsâ knowledge profiles: Mapping patent data with unsupervised learning. Technol. Forecast. Soc. Chang. 2017, 115, 131â142. [CrossRef]
- Svetnik, V.; Liaw, A.; Tong, C.; Wang, T. Application of Breimanâs Random Forest to modeling structure-activity relationships of pharmaceutical molecules. In Multiple Classifier Systems; Lecture Notes in Computer Science; Springer: Berlin/ Heidelberg, Germany, 2004; Volume 3077, pp. 334â343.
Paper not yet in RePEc: Add citation now
Szirmai, A.; Naudé, W.; Goedhuys, M. Entrepreneurship, Innovation, and Economic Development; Oxford University Press: Oxford, UK, 2011.
- Türk, U. A multilevel analysis of the contextual effects in distance education outcomes during COVID-19. East. J. Eur. Stud. 2021, 12, 149â169. [CrossRef]
Paper not yet in RePEc: Add citation now
- Türkeli, S.; Wong, P.-H.; Yitbarek, E.A. Multiplex learning: An evidence-based approach to design policy learning networks in Sub-Saharan Africa for the SDGs. In Africa and the Sustainable Development Goals; Springer: Berlin/Heidelberg, Germany, 2020; pp. 279â292.
Paper not yet in RePEc: Add citation now
Thulin, E.; Vilhelmson, B.; Johansson, M. New telework, time pressure, and time use control in everyday life. Sustainability 2019, 11, 3067. [CrossRef]
Varian, H.R. Big data: New tricks for econometrics. J. Econ. Perspect. 2014, 28, 3â28. [CrossRef]
- Wong, P.H.; Kourtit, K.; Nijkamp, P. The ideal neighbourhoods of successful ageing: A machine learning approach. Health Place 2021, 72, 102704. [CrossRef] [PubMed]
Paper not yet in RePEc: Add citation now
Xiong, A.; Xia, S.; Ye, Z.P.; Cao, D.; Jing, Y.; Li, H. Can innovation really bring economic growth? The role of social filter in China. Struct. Chang. Econ. Dyn. 2020, 53, 50â61. [CrossRef]
Zhou, H.; Dekker, R.; Kleinknecht, A. Flexible labor and innovation performance: Evidence from longitudinal firm-level data. Ind. Corp. Chang. 2011, 20, 941â968. [CrossRef]