Technology for evaluating and selecting coworking spaces according to clients' target needs

Authors

  • Volodymyr Polishchuk Uzhhorod National University, Uzhhorod, Ukraine https://orcid.org/0000-0003-4586-1333
  • Yurii Mlavets Uzhhorod National University, Uzhhorod, Ukraine https://orcid.org/0000-0002-1480-9017
  • Lukáš Danko Tomas Bata University in Zlin, Zlin, Czech Republic
  • Iwona Włoch Rzeszow University of Technology, Rzeszów, Poland

DOI:

https://doi.org/10.17721/1812-5409.2025/1.20

Keywords:

multi-criteria evaluation of alternatives, fuzzy sets, fuzzy logic, coworking spaces, expert evaluation, decision maker

Abstract

The main goal of this study is to develop a technology for evaluating and selecting coworking spaces (CS) according to the target needs of clients. For this purpose, the following were developed: a fuzzy model for evaluating coworking; a model for aggregating the output data of the fuzzy model for evaluating coworking and the target needs of clients; a validation of the study based on 5 coworking spaces is presented. The research is based on the apparatus of fuzzy sets, which allows one to increase the degree of validity of decisions. The input data are given in estimation intervals that consider all possible scenarios. An intellectual analysis of knowledge is used to process input information, the subjectivity of experts is revealed, and the final assessment is presented in quantitative form. The value of the model is that it allows one to obtain a quantitative assessment of CS from input fuzzy expert data, and the assessment procedure for experts is simple and natural. The model considers the users' goals regarding an environment that increases work productivity, namely: environmental goals, social goals, and innovation goals. At the model's output, we have an initial quantitative assessment and a ranking series of CS. The research that was conducted contributes to the development of CS, increasing its efficiency and compliance with market needs. It is also useful for freelancers, startup teams, and small businesses, who receive a tool for choosing a space that meets their needs in terms of location, budget, and conditions.

Pages of the article in the issue: 148 - 156

Language of the article: English

References

Arun, M., Efremov, C., Nguyen, V. N., Barik, D., Sharma, P., Bora, B. J., Kowalski, J., Le, H. C., Truong, T. H., & Cao, D. N. (2024). Fuzzy logic-supported building design for low-energy consumption in urban environments. Case Studies in Thermal Engineering, 64, 105384. https://doi.org/10.1016/j.csite.2024.105384

Buchnik, T., & Frenkel, A. (2021). The lifestyles of millennial coworkers in urban spaces: the case of Tel-Aviv. European Planning Studies, 31(3), 528–553. https://doi.org/10.1080/09654313.2021.1950641

Ceballos, R., Borrego, D., Gómez-López, M. T., & Gasca, R. M. (2021). Multi-criteria decision analysis for non-conformance diagnosis: A priority-based strategy combining data and business rules. Expert Systems with Applications, 183, 115212. https://doi.org/10.1016/j.eswa.2021.115212

Clifton, J., Jacobs, G., Valeiras-Jurado, J., & Vandendaele, A. (2022). Governmentality-in-action. The pursuit of happiness and identity-work in graduate career coaching interaction. Language and Dialogue, 12(3), 335–359. https://doi.org/10.1075/ld.00117.cli

De Peuter, G., Cohen, N. S., & Saraco, F. (2017). The ambivalence of coworking: On the politics of an emerging work practice. European Journal of Cultural Studies, 20(6), 687–706. https://doi.org/10.1177/1367549417732997

Di Marino, M., Tabrizi, H. A., Chavoshi, S. H., & Sinitsyna, A. (2023). Hybrid cities and new working spaces – The case of Oslo. Progress in Planning, 170, 100712. https://doi.org/10.1016/j.progress.2022.100712

Fast, K., & Jansson, A. (2024). Working in the comfort zone: Understanding coworking spaces as post-digital, post-work and post-tourist territory. Digital Geography and Society, 7, 100103. https://doi.org/10.1016/j.diggeo.2024.100103

Figueiredo, S., Dierks, A., & Ferreira, R. (2024). Mental health screening in refugees communities: Ukrainian refugees and their post-traumatic stress disorder specificities. European Journal of Trauma & Dissociation, 8(1), 100382. https://doi.org/10.1016/j.ejtd.2024.100382

Hendriks, T., Hassankhan, A., de Jong, J., & van Woerkom, M. (2024). Improving resilience and mental well-being among refugees residing at asylum centers in the Netherlands: A pre-post feasibility study. Mental Health & Prevention, 36, 200366. https://doi.org/10.1016/j.mhp.2024.200366

Kelemen, M., Gavurova, B., & Polishchuk, V. (2022). A Complex Hybrid Model for Evaluating Projects to Improve the Sustainability and Health of Regions and Cities. International Journal of Environmental Research and Public Health, 19(13), 8217. https://doi.org/10.3390/ijerph19138217

Lange, B., & Bürkner, H. J. (2017). Open workshops as sites of innovative socio-economic practices: approaching urban post-growth by assemblage theory. Local Environment, 23(7), 680–696. https://doi.org/10.1080/13549839.2017.1418305

Lin, S.-H., Zhang, H., Li, J.-H., Ye, C.-Z., & Hsieh, J.-C. (2022). Evaluating smart office buildings from a sustainability perspective: A model of hybrid multi-attribute decision-making. Technology in Society, 68, 101824. https://doi.org/10.1016/j.techsoc.2021.101824

Mariotti, I., Di Marino, M., & Bednář, P. (2022). The COVID-19 pandemic and the future of working space. Taylor & Francis. https://doi.org/10.4324/9781003181163

Mariotti, I., Tomaz, E., Micek, G., & Mendez-Ortega, C. (2024). Evolution of new working spaces: Changing Nature and Geographies. Springer Nature. https://doi.org/10.1007/978-3-031-50868-4

Micek, G., Baycan, T., & Lange, B. (2024). A Taxonomy of New Working Spaces. In I. Mariotti, E. Tomaz, G. Micek, & C. Méndez-Ortega (Eds.), Evolution of New Working Spaces (pp. 21–33). Springer, Cham. https://doi.org/10.1007/978-3-031-50868-4_3

Piwowarski, M., & Nermend, K. (2022). Issues of multi-criteria methods applicability supporting complex business process decision-making in management. Procedia Computer Science, 207, 4161–4170. https://doi.org/10.1016/j.procs.2022.09.479

Polishchuk, V. V. (2019). Technology to improve the safety of choosing alternatives by groups of goals. Journal of Automation and Information Sciences, 51(9), 66–76. https://doi.org/10.1615/JAutomatInfScien.v51.i9.60

Rudnitskii, A. G., Rudnytska, M. A., Tkachenko, L. V., & Pechuk, E. D. (2021). Application of fuzzy logic in finding the optimal filter in optoacoustics problems. Bulletin of Taras Shevchenko National University of Kyiv. Physical and Mathematical Sciences, 1, 43–54. https://doi.org/10.17721/1812-5409.2021/1.5

Tomaz, E., & Tabrizi, H. A. (2024). The Evolution of Non-traditional Workplaces: From Third Places to Hybrid Places. In I. Mariotti, E. Tomaz, G. Micek, & C. Méndez-Ortega (Eds.), Evolution of New Working Spaces (pp. 7–20). Springer, Cham. https://doi.org/10.1007/978-3-031-50868-4_2

Wu, Q., Liu, X., Qin, J., Zhou, L., Mardani, A., & Deveci, M. (2022). An integrated multi-criteria decision-making and multi-objective optimization model for socially responsible portfolio selection. Technological Forecasting and Social Change, 184, 121977. https://doi.org/10.1016/j.techfore.2022.121977

Yalcin, A. S., Kilic, H. S., & Delen, D. (2022). The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review. Technological Forecasting and Social Change, 174, 121193. https://doi.org/10.1016/j.techfore.2021.121193

Downloads

Published

2025-07-07

Issue

Section

Computer Science and Informatics

How to Cite

Polishchuk, V., Mlavets, Y., Danko, L., & Włoch, I. (2025). Technology for evaluating and selecting coworking spaces according to clients’ target needs. Bulletin of Taras Shevchenko National University of Kyiv. Physics and Mathematics, 80(1), 148-156. https://doi.org/10.17721/1812-5409.2025/1.20