?
Цифровые профили пользователей сервисов совместного потребления в России: подход тематического моделирования
The transformation of society and the development of digital technologies have significantly affected consumer behavior: consumer identity is now spreading to the digital environment, a new segment of digital consumers is developing. As a result of digitalization, new business models are emerging, for example, commercial sharing systems, the full functioning of which is impossible without the existence of digital platforms and the Internet. Despite the popularity of the topic of commercial sharing systems in the research environment and the wide range of tools used in research, at the moment no attempts have been made to study a digital profile of commercial sharing services users based on the analysis of their social networks profiles. Social network data are one of the most extensive sources of information about consumers: the ability to analyze consumer behavior in social networks can become a significant competitive advantage for companies, as it allows them to quickly extract objective information about users.
The objective of the study is to develop digital profiles of commercial sharing systems’ users based on their digital footprint data. The empirical basis of the study is the publications (posts) of commercial sharing communities’ subscribers on the popular Russian social network VKontakte. The information posted by users in social networks was collected using Python (the API, Application Programming Interface was used), the sample size comprises 24,000 profiles. The collected data have been processed and analyzed using the topic modeling method, as a result of the analysis, 12 main topics were identified characterizing users’ interests. Based on individual topic profiles, topic profiles of communities were formed, furthermore, differences in the digital behavior commercial sharing systems profiles were identified. The use of data on user behavior in the digital environment creates new opportunities for digital companies and can become the base for improving the performance of personalization services, the timely adaptation of product offers and approaches to interaction with customers, as well as become the base for the development of ecosystems.