1. How does a closed social network facilitate the impact of blockchain on corporate digital innovation performance?. (2025). Wang, Yuchen ; Li, Qingyi ; Zhang, Runze.
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2. The effect of output additionality of public funding support on firm innovation. Evidence from firms of different sizes. (2024). D'Amico, Luciano ; Boffa, Danilo ; Corsi, Christian ; Prencipe, Antonio.
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3. Evaluating EU-Region level innovation readiness: A longitudinal analysis using principal component analysis and a constellation graph index approach. (2023). Jones, Paul ; Beynon, Malcolm J ; Pickernell, David.
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   RePEc:eee:jbrese:v:159:y:2023:i:c:s0148296323000619.

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4. Policy mix or policy mess? Effects of cross-instrumental policy mix on eco-innovation in German firms. (2022). Radicic, Dragana ; Grimaldi, Michele ; Greco, Marco ; Germani, Francesca.
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   RePEc:eee:techno:v:117:y:2022:i:c:s0166497220300663.

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5. Innovation and Management in MSMEs: A Literature Review of Highly Cited Papers. (2021). Martins, Luis Mauricio ; Betim, Leozenir Mendes ; Pontes, Joseane ; de Carvalho, Hlio Gomes ; Gomes, Gustavo Dambiski.
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6. Social and private outcomes of green innovation incentives in European advancing economies. (2021). Stojcic, Nebojsa ; Ia, Neboja Stoja.
   In: Technovation.
   RePEc:eee:techno:v:104:y:2021:i:c:s0166497221000511.

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7. Leader strategies for motivating innovation in individuals: a systematic review. (2020). Soleas, Eleftherios K.
   In: Journal of Innovation and Entrepreneurship.
   RePEc:spr:joiaen:v:9:y:2020:i:1:d:10.1186_s13731-020-00120-w.

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8. The relationship between public funds, innovation and employment among Argentinean manufacturing firms. (2020). Pereira, Mariano ; Fiorentin, Florencia ; Suarez, Diana.
   In: Journal of Evolutionary Economics.
   RePEc:spr:joevec:v:30:y:2020:i:3:d:10.1007_s00191-020-00668-6.

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9. Comparative analysis of innovation performance of European Union countries. (2020). Novak, Ivan.
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   RePEc:noa:journl:y:2020:i:6:p:1-11.

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10. Promoting cooperation in innovation ecosystems: evidence from European traditional manufacturing SMEs. (2020). Radicic, Dragana ; Pugh, Geoffrey ; Douglas, David.
    In: Small Business Economics.
    RePEc:kap:sbusec:v:54:y:2020:i:1:d:10.1007_s11187-018-0088-3.

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11. Evaluating innovation development among Brazilian micro and small businesses in view of management level: Insights from the local innovation agents program. (2020). Roth, Hugo Henrique ; de Carvalho, Helio Gomes ; Gomes, Gustavo Dambiski ; Gonalves, Adriana Dantas.
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12. COOPERATION FOR INNOVATION AND ITS IMPACT ON TECHNOLOGICAL AND NON-TECHNOLOGICAL INNOVATIONS: EMPIRICAL EVIDENCE FOR EUROPEAN SMES IN TRADITIONAL MANUFACTURING INDUSTRIES. (2019). Radicic, Dragana ; Jackson, Ian ; Pugh, Geoff ; Douglas, David.
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13. Sources of innovation and innovation type: firm-level evidence from the United States. (2019). Slaper, Timothy F ; Demircioglu, Mehmet Akif ; Audretsch, David B.
    In: Industrial and Corporate Change.
    RePEc:oup:indcch:v:28:y:2019:i:6:p:1365-1379..

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14. Geographical proximity and open innovation of SMEs in Cyprus. (2019). Lee, Soohee ; Kapetaniou, Chrystalla.
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    RePEc:kap:sbusec:v:52:y:2019:i:1:d:10.1007_s11187-018-0023-7.

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15. Analysis of Innovations in the European Union Via Ensemble Symbolic Density Clustering. (2018). Marcin, Peka.
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    RePEc:vrs:eaiada:v:22:y:2018:i:3:p:84-98:n:6.

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16. Government Supports and Technology Adoption: Evidence from Tunisia. (2018). ben Khalifa, Adel.
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    RePEc:jed:journl:v:43:y:2018:i:4:p:41-70.

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17. R&D Programmes, Policy Mix, and the ‘European Paradox’: Evidence from European SMEs. (2017). Radicic, Dragana ; Pugh, Geoffrey.
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19. Federalism and innovation support for small and medium-sized enterprises: Empirical evidence in Europe. (2015). Becker, Lasse ; Bizer, Kilian.
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9. Activation in Ireland: An Evaluation of the National Employment Action Plan. (2011). McGuinness, Seamus ; O'Connell, Philip J. ; Walsh, John R. ; Kelly, Elish.
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29. Starting Sick Leave on Part-Time as a Treatment Method?. (2009). Andrén, Thomas ; Andren, Daniela ; Thomas, Andren .
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30. Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality. (2009). Lee, Sokbae (Simon) ; Carneiro, Pedro.
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31. Dynamic policy analysis. (2008). Heckman, James ; Abbring, Jaap.
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32. Norwegian Vocational Rehabilitation Programs: Improving Employability and Preventing Disability?. (2008). Westlie, Lars .
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33. Part-Time Sick Leave as a Treatment Method?. (2008). Andrén, Thomas ; Andren, Thomas.
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34. Assessing Active Labor Market Policies in Transition Economies. (2008). Lehmann, Hartmut ; Kluve, Jochen.
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35. Identification of treatment effects in Health Economics. (2007). .
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36. Estimating Marginal Returns to Higher Education in the UK. (2007). Moffitt, Robert.
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37. Estimating Marginal Treatment Effects in Heterogeneous Populations. (2007). Moffit, Robert .
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38. Employment Effects of Educational Measures for Work-Injured People. (2007). Datta Gupta, Nabanita ; Hogelund, Jan ; Bach, Henning.
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39. Long-term Outcomes of Vocational Rehabilitation Programs: Labor Market Transitions and Job Durations for Immigrants. (2007). Ekhaugen, Tyra .
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40. Dynamic discrete choice and dynamic treatment effects. (2007). Navarro, Salvador ; Heckman, James.
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41. A Reappraisal of the Virtues of Private Sector Employment Programmes. (2006). Jensen, Peter ; Graversen, Brian Krogh .
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42. Employment promotion measures and the quality of the job match for persons with disabilities. (2006). Muñoz-Bullón, Fernando ; Malo, Miguel ; Muoz-Bullon, Fernando.
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43. Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond. (2005). Todd, Petra ; Lochner, Lance ; Heckman, James.
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44. Dynamic Discrete Choice and Dynamic Treatment Effects. (2005). Navarro, Salvador ; Heckman, James.
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45. Dynamic Discrete Choice and Dynamic Treatment Effects. (2005). Navarro, Salvador ; Heckman, James.
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46. Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond. (2005). Todd, Petra ; Lochner, Lance ; Heckman, James.
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47. Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models. (2003). Navarro, Salvador ; Heckman, James.
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48. Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models. (2003). Navarro, Salvador ; Heckman, James.
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49. Using matching, instrumental variables and control functions to estimate economic choice models. (2003). Navarro, Salvador ; Heckman, James.
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50. Should we teach old dogs new tricks? the impact of community college retraining on older displaced workers. (2003). Sullivan, Daniel ; Jacobson, Louis S..
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