Maksym W. Sitnicki

The stage of selecting creative ideas that have the prospect of further commercial use and can be used to create new products, services, or startups is one of the most complex and important stages of the innovation process. It is essential to take into account expert opinions and evaluations, often vague and ambiguous. The study aims to develop a methodological approach to measure the commercial potential of new product ideas based on fuzzy set theory and fuzzy logic. To this end, three calculation schemes are developed: the first two are based on fuzzy multicriteria analysis using Fuzzy SAW and Fuzzy TOPSIS methods, respectively; the third is based on building a logical-linguistic model with fuzzy expert knowledge bases and applying fuzzy inference using the Mamdani algorithm. Fuzzy numbers in triangular form with triangular membership functions are used to present linguistic estimates of experts and fuzzy data; the CoA (Center of Area) method is used to dephase the obtained values. For practical application of the proposed algorithm, the model is used as an Excel framework containing a general set of input expert information in the form of linguistic estimates and fuzzy data, a set of calculations using three schemes, and a set of defuzzification of the obtained results. The framework allows for simulation modeling depending on the modification of the list of defined evaluation criteria and their partial criteria, and adjustments to expert opinions. The developed methodological approach is suggested for the initial stages of the innovation process to facilitate the assessment of creative ideas and improve their implementation.

Acknowledgment
This scientific paper is published with the support of the International Visegrad Fund.

The purpose of this paper is to summarize the experience of leading university libraries in attracting and using creative industries implementating strategic management. The study was conducted taking into account the previous experience by analyzing and systematizing the regulatory framework, information, and analytical materials on this issue, and conducting personal interviews with librarians. The results and conclusions were obtained on the example of libraries of seven higher educational institutions of Ukraine, which are included in the QS World University Rankings and the Times Higher Education.
The paper illustrates an extremely unsatisfactory financial situation and insufficient funding for university libraries. But even in such conditions, they are transformed into informational institutions, which not only provide users with a comfortable educational space but also produce innovative information resources and implement creative projects. The most significant projects are analyzed. All seven libraries have development strategies in which their mission is formalized. In three strategies there are no quantitative guidelines for development and, accordingly, the timing of their achievement. In addition, three strategies do not have the understanding of the need for business activities, and their key business processes are not clearly defined. Another three university libraries lack significant international creative projects. Instead, all seven university libraries recognize the need for creative industries and successfully implement creative projects of national importance.
The study emphasizes the need to apply a model of strategic management of creative industries on the example of university libraries.

Acknowledgment
This scientific paper published with support by British Council’s ‘Creative Spark: Higher Education Enterprise Programme’, project № 5742783597 – the ‘National Сentre for Сreative Entrepreneurship Development’ (NCCE).

A model is presented for developing creative entrepreneurial competences (CEC), which is focused on the formation of creative entrepreneurial and practical skills in a timely manner (Just-in-Time Learning). The proposed model assumes a high level of motivation, deep immersion, and full dedication of individuals and has a cyclical nature throughout their working life (Lifelong Education Cycle). The central figure of the model is an individual who, by choosing an active form of education and following a precise algorithm of actions, can obtain high performance and achieve entrepreneurial success. The formation of an individual’s business consciousness is divided into five stages: UnConscious InCompetence, Conscious InCompetence, Conscious Competence, UnConscious Competence, and the second Conscious InCompetence stage. It is established that the minimum level of creative entrepreneurial competences consists of a combination of basic professional competences, elementary competences of IT&S literacy, and key communicative competences. Furthermore, it is found that an individual’s professionalism will grow until the pace of their learning exceeds the pace of the external environment’s dynamics.

Acknowledgments
This scientific paper is published with support by British Council’s ‘Creative Spark: Higher Education Enterprise Programme’, project № 5742783597 – the ‘National Сentre for Сreative Entrepreneurship Development’ (NCCE) and Kingston University London. English language proof-reading and comments were provided by Dr Martha Mador and Dr Alan Flowers, Kingston University London, UK.