Research on Intelligent Service Construction of Exhibition Venues Based on the Needs of Exhibitors

Abstract

Under the background of the information age and the post-pandemic era, the construction of smart exhibition venues has become a hot topic in the exhibition industry. Smart service, as an important direction for the construction of smart venues, has aroused scholars to make relevant discussions. However, there have been some researches on specific exhibition intelligent services, little researches on exhibition hall intelligent services from the perspective of users. In addition, there are also various subjects using intelligent services in the exhibition hall. As a component of exhibitions, the subjects using intelligent services can be divided into exhibition organizers, exhibitors, visitors, service providers, etc. Due to the diverse types of intelligent services required by various subjects, the demand for intelligent services may also vary. Therefore, research on intelligent services in exhibition halls should also vary according to the needs of each subject. Exhibitors, a bridge between organizers and visitors are playing an important role in the exhibition. The income of the organizers is closely related to the satisfaction of exhibitors, which has great significance for the future development of the exhibition. In addition, from the perspective of visitors, exhibitors are the most important element of the exhibition. As one of the important exhibition subjects, exhibitors have their own foundational and particular needs for smart services. Based on the perspective of exhibitors’ needs, this research utilizes literature survey and interview methods to define exhibitors’ demand indicators for smart services in exhibition venues, and combines the Kano model to design a two-factor questionnaire to conduct research. After collecting the data, compare it to the Kano model classification comparative table to classify the demand attributes of the demand indicators, and then prioritize all demand indicators through the Better-Worse coefficient. This study found that exhibitors’ demand for smart services in exhibition venues is mostly type of charismatic demand, and the demand for smart parking lots and mobile charging stations, cloud display, and audience behavior data is of higher priority. Therefore, this research suggests that exhibition venues and exhibition organizers should use the above-mentioned higher priority demand indicators as the core to build a smart service system for exhibition venues. This research provides new ideas for the construction of smart exhibition venues and at the same time makes up for the deficiencies of academic research in this area.