Prof. Dr. Torben Schubert

• analysis of innovation-based competitive advantages of economies
• strategic management of innovation processes in companies
• economics of science

• Dissertation award of the Staedtler-Foundation 2009

• Innovation management at Lund University (2017)
• Globalization of innovation at Lund University (2015, 2016)
• Survey of quantitative techniques at Lund University (2012, 2014, 2016)
• Innovation Economics at Berlin University of Technology (2010, 2011, 2012)
• Innovation at Karlsruhe University (2009)
• Applied Industrial Economics at Karlsruhe University (2008/2009)
• Probability Theory and Inferential Statistics at Hamm University of Applied Sciences (2008)
• Statistical Inference at Heidelberg University of Applied Sciences (2007, 2008)
• Descriptive Statistics at Heidelberg University of Applied Sciences (2006, 2007)
• Probability Theory at Heidelberg University of Applied Sciences (2006, 2007)  

• Monitoring socio-ecological transformation. An analysis of the research landscape, topics and actors
• Private universities: Economic importance for companies and start-ups (PHOEBUS)
• Die wirtschaftliche Bedeutung der Qualitätsinfrastruktur ("QI Impact") inkl. Trendbetrachtung QI und Digitalisierung
• Impact Study for the Synchrotron Radiation Facility PETRA III -> IV
  in the Context of the DESY Research and Innovation Ecosystem
• European Standardisation Panel Survey
• AI-supported recording and impact analysis of knowledge transfer between science and industry
• Documentation and analysis of bibliometric indicators (PFI)
• Autonomy and accountability as a contribution to the STRATegic GOVernance of research and the Third Mission? A comparison between universities and non-university research institutions (StratGov)
• Study on the impact of open source software and hardware on technological independence, competitiveness and innovation in the EU economy (ImpactOpenSource)
• Innovation Indicator 2020
• Addressing productivity paradox with big data: implications to policy making (BIGPROD)
• Big DATA approaches FOR improved monitoring of research and innovation performance and assessment of the societal IMPACT in the Health, Demographic Change and Wellbeing Societal Challenge (Data4Impact)
  
• Quantitative Wissenschaftsforschung (QuaFo) - PUBMOTIVE Motives to Publish - Strukturen, Strategien und Motive von Wissenschaftlichen Publi-kationen durch Unternehmen
• Erhebung des Innovationsverhaltens der Unternehmen in der produzierenden Industrie und in ausgewählten Dienstleistungssektoren in Deutschland
• Study to develop a quantitative index for emerging markets' potential for demand-oriented innovation
• Monitoring the evolution and benefits of Responsible Research and Innovation
• Survey of innovation behaviour of firms in the manufacturing industry and in selected service sectors in Germany in the survey years 2013, 2014, 2015 and 2016
• Analysis of energy prices and costs in the EU, its Member States and major trading partners
• Bibliometrics for Swedish Scientists
• Preparing a scientific study on the impacts of public funding of science and research in Baden-Württemberg on the economic development of the state
• Meta-study: Universities as an economic factor
• The status and development perspectives of research at universities
• Potenzialerschließung Hochschulforschung
• Regionaler Wirtschaftsfaktor Hochschule
• Survey of the Innovation Behavior of Enterprises in Manufacturing Industry and Selected Service Sectors in Germany in the Years 2009, 2010, 2011 and 2012
• INNO-GRIPS – Global Review of Innovation Policy Studies, Lot 2: Innovation intelligence studies – Study 6: “Organisational and marketing innovations: Drivers of growth?“
• Performance Indicators for Research Institutions, in Particular Research Groups
• Indicator system for Germany's technological performance – Publications and patents

The routines included in SRinference allow the user to compute the tests and confidence intervals for specialisation ratios described in Schubert and Grupp (2009). Before using the add-on package the user is required to install the R main program available under http://www.r-project.org. Both R and SRinference are distributed under GNU General Public License. The user recognises that SRinference comes with absolutely no warranty of correctness. Use is at own risk. You can find the Software here and the User Guide here.

• Kroll, H.; Schubert, T. (2023): Can University Leaders Effectively Promote Research on Complex Societal Challenges? A Change-Agency Perspective. Higher Education Policy. doi.org/10.1057/s41307-023-00307-2
• Bührer, S.; Feidenheimer, A.; Frietsch, R.; Karaulova, M.; Lindner, R.; Schubert, T. (2023): Report on the Impact of Science - Current challenges, concepts, and state of the art in impact assessment. Berlin/Karlsruhe: BMBF, Fraunhofer ISI.
• Edler, J.; Blind, K.; Kroll, H.; Schubert, T. (2023): Technology sovereignty as an emerging frame for innovation policy. Defining rationales, ends and means, Research Policy, 52(6).
  
• Schubert, T.; Berghäuser, H.; Kroll, H. (2022): Missionsorientierung in der Forschung - Kann universitäre Außensteuerung Anreize für nachhaltigkeitsorientierte Forschung schaffen?
• de Faria, P.; Schubert, T.; Sofka, W. (2021): Recruiting strategic human capital from MNCs—Does hiring MNC managers enable exporting in domestic firms?. PLOS ONE, 16(10). 
• Schubert, T.; Breitschopf, B.; Plötz, P. (2021): Energy efficiency and the direct and indirect effects of energy audits and implementation support programmes in Germany. Energy Policy, 157.
• Ejermo, O.; Hussinger, K.; Kalash, B.; Schubert, T. (2021): Innovation in Malmö after the Öresund Bridge. Journal of Regional Science. 
• Grillitsch, M.; Schubert, T. (2020): Does the Timing of Integrating New Skills Affect Start-up Growth?, Strategic Entrepreneurship Journal, 15(4), 647-648.
  
• Schubert, T.; Tavassoli, S. (2020): Product Innovation and Educational Diversity in Top and Middle Management Teams, Academy of Management Journal, 63 (1), 272–294.
  
• Castellani, D.; Piva, M.; Schubert, T.; Vivarelli, M. (2019): R&D and productivity in the US and the EU: Sectoral specificities and differences in the crisis, Technological Forecasting & Social Change. 138, 279-291.
  
• Rammer, C.; Schubert, T. (2018): Concentration on the Few - Mechanisms Behind a Falling Share of Innovative Firms in Germany, Research Policy. 47 (2), 379-389.
  
• Ejermo, O.; Schubert, T. (2018): Do Higher Wages Reduce Knowledge Worker’s Job Mobility? Evidence for Swedish Inventors, Journal of Management Studies, 55(1), 108-145.
• Schubert, T.; Baier, E.; Rammer, C. (2017): Firm Capabilities, Technological Dynamism and the Internationalisation of Innovation – a Behavioural Approach, Journal of International Business Studies, 49(1), 70-95.
• Castellani, D.; Montresor, S.; Schubert, T.; Vezzani, S. (2017): Multinationality, R&D and Productivity: Evidence from the top R&D investors worldwide, International Business Review, 26,  405-416.
  
• Andries, P.; Hoskens, M.; Janger, J.; Rammer, C.; Schubert, T. (2017): The New EU 2020 Innovation Indicator: A Step Forward in Measuring Innovation Outputs and Outcomes? Research Policy, 46, 30-42.
  
• Baier, E., Rammer, C., Schubert, T. (2015): The Impact of Captive Innovation Offshoring on the Effectiveness of Organizational Adaptation, Journal of International Management, 21(2), 150-165.
  
• Robin, S.; Schubert, T. (2012): Cooperation with Public Research Institutions and Success in Innovation: Evidence from France and Germany, Research Policy, Vol. 42, 149-166.
  
• Schubert, T. (2010): Marketing and Organisational Innovations in Entrepreneurial Innovation Processes and their Relation to Market Structure and Firm Characteristics, Review of Industrial Organization, 32, 189-212.
  
• Grupp, H.; Schubert, T. (2010): Review and New evidence on Composite Innovation Indicators for Evaluating National Performance, Research Policy, Vol. 39, 67-78.
  
• Schubert, T. (2009): Empirical Observations on New Public Management to Increase Efficiency in Public Research – Boon or Bane? Research Policy, Vol. 38, 1225-1234.