Integration of Public and Private Aspects in Business Models 4.0 of the Tourism Market
The current digital opportunities that have spawned the upgrade of the business versions of tourism and hospitality have been actualised due to the hard-to-predict pandemic nature of the COVID-19 coronavirus threat and travel bans. In Business Model 4.0. the usual forms of the relationship between the public (institutional) and the private, individual in tourism and hospitality are transformed. Research objective: to characterise the integration capabilities of automated (AI-based) travel industry business processes that personalise the tourism offers to the needs and preferences of travel lers and guests. The value-based marketing 4.0 approach, supplemented by structural, network and functional approaches to the analysis of the structure, multi-level, dynamics of commercial opportunities, consumer value of business models of organisation and the implementation of tourism products, allowed the integration possibilities of Internet services in satisfying individualised consumer demands to be satisfied. Soft culture blurs the boundaries between the public and the personal, making actors’ informational behaviour transparent, transforming existing business strategies, and giving rise to ‘mass individuality’ in tourism and hospitality. The forms of correlation between the public (group, communal) and the private, individual in the practice of tourist services at all stages of a tourist trip or guest visits to HoReCa enterprises change under the influence of BigData technologies regarding operational processes; modelling and forecasting strategies; horizontal and vertical integration. The marketplace is won by those who practise personalisation, customisation and marketing authenticity of the market offer distributed on the P2P network. The basis of a stable competitive advantage of a company able to create a unique customer value in the tourism and hospitality market is represented by predictive or prognostic analytics of big data and smart technologies.