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

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.