Managing and Leading Creative Universities – Foundations of Successful Science Management: A Hands-On Guide for (Future) Academics
Today’s universities are increasingly under pressure from various directions. This pressure also affects its employees, and us as scholars. Especially, future academics are often confronted with situations that they have not been trained or mentored for, or are simply lost in how to plan their careers or how to train themselves to be able to compete. This chapter compiles guidelines for future academics help them in shaping their careers. It gives an overview of different issues, such as individual career planning, self-management, required skill sets, methods in teaching and learning (e.g. Design Thinking or blended learning), increasing citations and ranking, knowledge management, research laboratory leadership, entrepreneurship, innovation management, IPRs, increasing publication impact, self-marketing through social media, research strategies, innovation management, communities of practice, and industry collaboration. The chapter, as well as the complete book, is accompanied by a YouTube channel (http://youtube.artur-lugmayr.com), a Facebook page (https://www.facebook.com/groups/universitymanagement), and other online resources as an email list and website (http://unimgm.artur-lugmayr.com).
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 A. Lugmayr, E. Serral, A. Scherp, B. Pogorelc, and M. Mustaquim, “Ambient media today and tomorrow,” Multimedia Tools and Applications, pp. 1–31, 2013 [Online]. Available: http://dx.doi.org/10.1007/s11042-012-1346-z
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 A. Lugmayr, A. Grenfeld, and D. J. Zhang, “Selected Advanced Data Visualizations: ‘The UX-Machine’, Cultural Visualisation, Cognitive Big Data, and Communication of Health and Wellness Data,” in Proceedings of the 26th International Conference on World Wide Web Companion, 2017, pp. 247–251 [Online]. Available: https://doi.org/10.1145/3041021.3059213
 A. Lugmayr, B. Stockleben, C. Scheib, and M. Mailaparampil, “Cognitive Big Data. Survey and Review on Big Data Research and its Implications: What is Really ‘New’? Cognitive Big Data!,” Journal of Knowledge Management (JMM), vol. 21, no. 1, 2017 [Online]. Available: http://www.emeraldgrouppublishing.com/products/journals/call_for_papers.htm?id=5855k, Journal of Knowledge Management/Emerald
 A. Lugmayr, B. Stockleben, C. Scheib, M. Mailaparampil, N. Mesia, and H. Ranta, “A Comprehensive Survey on Big Data Research and It’s Implications - What is really ’new’ in Big Data? It’s Cognitive Big Data,” in Proceedings of the 20th Pacific-Asian Conference on Information Systems (PACIS 2016), 2016 [Online]. Available: http://www.pacis2016.org/abstract/Index