Eric Prince Ondia, Sirimas Hengrasmee and Sant Chansomsak
This paper aims to examine whether there is a direct relationship between spatial configuration and users’ behaviors in co-working spaces, and if so, how this environment and behavior relationship impacts their working process. The study employed ethnographic qualitative strategy as the general method of inquiry and used visual documentation, direct observations, and behavioral mapping as methods of data collection in two case studies. Analysis of the findings demonstrates that design elements such as barriers and fields are powerful tools for influencing and guiding users’ behavior within coworking spaces. The findings provide a deeper understanding of the relationship between design and behavioral patterns in co-working spaces. The research insights in this study may inform architects, policymakers and facility managers in making conscious decisions on the design of co-working spaces that are more meaningful to the users.
., Thompson, N. & Rowe, F. (2013). Honey Pots and Hives: Maximising the potential of rural enterprise hubs [unpublished research report]. Newcastle University.
 Dax, T. & Copus, A. (2016). The future of rural development. In Research for Agri Committee – CAP reform post-2020 – challenges in agriculture (pp. 221–301). Brussel: European Union.
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Agata Domańska, Anna Boczkowska, Marta Izydorzak-Woźniak, Zbigniew Jaegermann and Małgorzata Grądzka-Dahlke
The research aimed at the selection of polyurethanes synthesized from poly(tetramethylene ether) glycol (PTMEG), as well as from two different isocyanates 4,4′-methylenebis(cyclohexyl)isocyanate (HMDI) and 4.4′-methylenebis(phenyl isocyanate) (MDI) in order to obtain polyurethane with increased resistance to abrasive wear and degradation for bio-medical application. Polyurethanes were fabricated from crystalline prepolymers extended by water. The paper presents preliminary results on polyurethane surface wettability, friction coefficient for different couples of the co-working materials such as polyurethane-polyurethane, polyurethane-titanium alloy, polyurethane-alumina, in comparison to commonly used polyethylene-titanium alloy. Shear strength of polyurethane-alumina joint, as well as viscosity of prepolymers were also measured. The values of friction coefficient were compared to literature data on commercially available polyurethane with the trade name Pellethane. Polyurethanes obtained are characterized by low abrasive wear and low friction coefficient in couple with the titanium alloy, what makes them attractive as possible components of ceramic-polymer endoprosthesis joints.
Radial basis function networks (RBFNs) or extreme learning machines (ELMs) can be seen as linear combinations of kernel functions (hidden neurons). Kernels can be constructed in random processes like in ELMs, or the positions of kernels can be initialized by a random subset of training vectors, or kernels can be constructed in a (sub-)learning process (sometimes by k-means, for example). We found that kernels constructed using prototype selection algorithms provide very accurate and stable solutions. What is more, prototype selection algorithms automatically choose not only the placement of prototypes, but also their number. Thanks to this advantage, it is no longer necessary to estimate the number of kernels with time-consuming multiple train-test procedures. The best results of learning can be obtained by pseudo-inverse learning with a singular value decomposition (SVD) algorithm. The article presents a comparison of several prototype selection algorithms co-working with singular value decomposition-based learning. The presented comparison clearly shows that the combination of prototype selection and SVD learning of a neural network is significantly better than a random selection of kernels for the RBFN or the ELM, the support vector machine or the kNN. Moreover, the presented learning scheme requires no parameters except for the width of the Gaussian kernel.
The main goal of the paper is to highlight the importance of supporting the promotion of the culture of excellence among people involved in a way or another in contemporary business. In order to support business excellence, the culture of excellence have to empower and engage all the people within an organization to think out of the box in a modern vision suitable to the challenging and changing times we are facing now. All over the world, in the most competitive countries, regions and sectors of activities there is a paradigmatic change of business strategies and policies oriented more and more towards performance and excellence. The paper highlights the importance of promoting the culture of excellence in the contemporary changing business environment. It suggests an important shift from a perspective that focuses on the so called ‘hero of excellence’ towards promoting the culture of excellence among the whole organization. Within modern business, in order to face challenges of the changing times and to explore their opportunities all the people from an organization are considered to manifest as ‘heroes of excellence’ by co-creating and co-working together within creative and innovative teams. They have to contribute and to participate actively to assure, preserve and develop the competitiveness and well being of the whole organization. The paper supports a holistic, cross disciplinary and integrated vision. It is structured into three parts including: a brief literature review based on an overview of the current state of the literature dedicated to the topic of culture of excellence (part 1); presentation of the main steps of the process of building a sustainable high performance organization (part 2); a brief presentation of examples of best practice and case studied identified internationally (part 3); conclusions that highlight the importance of culture of excellence in changing and challenging times.
Lubica Gajanova, Margareta Nadanyiova and Dominika Moravcikova
a Factor of Mobility. Geopolitics, History, and International Relations, 9 (1), 120-127. http://dx.doi.org/10.22381/GHIR9120176
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Sebestova, J., Sperka, R., Malecka, J., and Luczka, T., 2017. Co-working centres as a supportive network for cross border business cooperation. Forum Scientiae Oeconomia, 5 (4), 23-34. http
country Retrieved from http://www.ukrstat.gov.ua/operativ/operativ2018/zd/e_iovt/arh_iovt2018.htm . (2 March 2019).
Šebestová, J., Šperka, R., Małecka, J. & Łuczka, T. (2017). Co-working centres as a supportive network for cross border business cooperation, Forum Scientiae Oeconomia , 5(4), 23-34, http://doi.org/10.23762/FSO_VOL-5NO4_17_2
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Ľuboš Elexa, Ľubica Lesáková, Vladimíra Klementová and Ladislav Klement
., & Pouder, R. W. (2006). Technology Clusters versus Industry Clusters: Resources, Networks, and Regional Advantages. Growth and Change 37(2), 141-171. 10.1111/j.1468-2257.2006.00313.x
John C. H. & Pouder R. W. 2006 Technology Clusters versus Industry Clusters: Resources, Networks, and Regional Advantages Growth and Change 37 2 141 – 171 10.1111/j.1468-2257.2006.00313.x
Šebestová, J., Šperka, R., Małecka, J., & Łuczka, T. (2017). Co-working centers as a potential supportive network for cross-border business cooperation. Forum Scientiae Oeconomia
. Eine weitere herausragende Eigenschaft dieser Räume ist die Möglichkeit zur vielfältigen Nutzung für so unterschiedliche Zwecke wie zum Beispiel Musikproben, Ausstellungen, Theateraufführungen, Cafés oder Co-Working Stationäre Bürogemeinschaft zur Nutzung für flexibles, überwiegend digitales Arbeiten. . Materielle Charakteristika wie Größe, Ausstattung und Multifunktionalität der Nutzung erlauben notwendige Frei- und Spielräume für kreative Experimente. Insbesondere Künstler schätzen wenig formalisierte, hierarchiearme und wenig regulierte Räume, die sie
, Belgium, and India are in this category. The Netherlands, Italy, and China have a relatively high-degree centrality compared to closeness and betweenness. This fact indicates that these countries, on the other hand, are co-working with less-significant countries. Even though China is ranked high both in implicit and explicit contribution as seen in Figure 9 , the centrality index for China is low relatively compared to the number of papers it contributed. This shows that China does not work frequently with other countries.
Centralities of Co