e-Kreator Innowacyjności


Center for Innovatics: various publications

Innovativeness in business

• on two very popular (among managers) business model frameworks; we show how similar they are and where they differ: Jasieński M, Rzeźnik M (2016) Building bridges between business model concepts: the Canvas and Doblin’s Ten Types. In: “Innowacje w zarządzaniu i inżynierii produkcji” (ed. R. Knosala), pp. 96-103. Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, Opole.

• on the ideas and structure of two big projects (one of them - international) in the area of innovation in which we (as members of the Center for Innovatics) participated in the recent years: Jasieński M, Candi M, Rzeźnik M (2015) Bridging the academia-industry gap while innovating: Two example projects. In: Processes and Project Management (M. Wirkus, ed.), pp. 61-69. Wydawnictwo Politechniki Gdańskiej, Gdańsk.

• on the ways in which two methods of creative thinking (one from engineering and the other - from advertising) may be applied to re-invent business models of any type of organization: Jasieński M, Rzeźnik M (2014) Business models rethought: applying the heuristic methods of Altshuller and Osborn to improve an organization’s fitness in a variable environment. W: “Organization in changing environment. Conditions, methods and management practices” (B. Domańska-Szaruga, T. Stefaniuk, red.), s. 100-109. Wydawnictwo Studio Emka, Warszawa. ISBN 978-83-64437-19-9.

• on the need to rethink or even to reinvent the business model of your firm or of your organization: Jasieński M, Rzeźnik M, Candi M (2013) Understanding and innovating business models: some basic methodological issues. In: “Innovations in Management and Production Engineering” (ed. R. Knosala), pp. 51-58. Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, Opole. ISBN 978-83-930399-9-9.

• on the new spectrum of skills that are required for managers to be innovative in the 21st century: Jasieński M, Rzeźnik M, (2012) Innovatics – a new toolbox of skills for innovative production managers. In: “Innovations in Management and Production Engineering” (ed. R. Knosala), pp. 63-71. Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, Opole.

How to teach innovativeness?

• how to create an online environment which makes teaching innovative thinking possible or more effective: Jasieński M (2012) Rules for constructing e-learning tools which foster independent, critical and innovative thinking. In: "E-Learning for Societal Needs" (E. Smyrnova-Trybulska, red.), pp. 75-94. University of Silesia, Katowice-Cieszyn. ISBN: 978-83-60071-59-5.

• on the need to free the intellectual potential of young people with a change in our approach to teaching and teacher-student interactions: Jasieński M (2007) Theory-free and fact-free but method-focused and trust-driven education: insights from Google, Excel, and eBay. In: 5th International Conference on Technology in Teaching and Learning in Higher Education, Nowy Sącz, pp. 39-44.

Rationality: quantitative methods are essential

• on foolhardiness of researchers who try to study the world using indexes based on ratios (or, in other words, on the necessity of paying attention to the statistical properties of the quantitative tools we use in research): Jasieński M, Bazzaz FA (1999) The fallacy of ratios and testability of models in biology. Oikos 84: 321-326.

• on the challenges of measuring correctly anything (using the example of estimating the effects of global climate change on vegetation): Jasieński M, Thomas SC, Bazzaz FA (1998) Blaming the trees: a critique of research on forest responses to high CO2. Trends in Ecology and Evolution 13: 427.

• on the necessity to understand statistics and research methodology (e.g. experimental design) to make rational decisions when planning or evaluating research projects: Jasieński M (1996) Wishful thinking and the fallacy of single-subject experimentation. The Scientist 10 (5): 10; Jasieński M (1996) N=1, fortuitous effects and AIDS research. The Scientist 10 (October 14): 12.

• on the need to precede field research and collecting samples with solid quantitative and computer-based analyses to make sure that we know how much data to collect to be able to obtain reliable results: Jasieńska G, Jasieński M (2008) Inter-population, inter-individual, inter-cycle, and intra-cycle natural variation in progesterone levels: a quantitative assessment and implications for population studies. American Journal of Human Biology 20: 35-42.

Knowledge management and sociology of science

• on analysis of word frequencies in titles of scientific papers, or how to study interesting phenomena in sociology of science using linguistics and bibliometrics: Jasieński M (2006) It’s incredible how often we’re surprised by findings. Nature 440: 1112.

• more on analysis of word frequencies in titles of scientific papers and how it will tell us interesting things about philosophy and sociology of science: Jasieński M (2009) Garfield's Demon and "surprising" or "unexpected" results in science. Scientometrics 78: 347-353.

• on quantitative analyses of trends in modern economy: Diukova N, Jasienski M (2010) Structure and functions of intangible assets in the knowledge economy. Socio-economic Research Bulletin 41: 12-17.