Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Annals of Computer Science and Information Systems

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: travel industry

Sortuj według:

Ogranicz wyniki do:

Pix2Trips - a System Supporting Small Groups of Urban Tourists

Kwaśnicka Halina, Ovedenski Tsvetan

Annals of Computer Science and Information Systems

2021

Vol. 25

141--145

Group recommendation systems are the subject of many publications, but still is a gap between research results and group decision support systems' needs. Tourists often do not know which attractions they would like to visit, our Pix2Trips system asks the group's members to indicate images that, in their opinion, they would like. Pix2Trips models the group's preferences and adjusts it to the proposed places' models. Some tourist places in Wroclaw city, Poland, were used in experiments. The paper presents the system's components and discusses the results of the experiments. Conclusions indicate the good overall evaluation of the Pix2Trips system.

Potentials of digital approaches in a tourism industry with changing customer needs – a quantitative study

Häfner Felix, Härting Ralf-Christian, Kaim Raphael

Annals of Computer Science and Information Systems

2020

Vol. 21

553--557

In recent years, the tourism industry has been undergoing a period of transformation, not least due to innovative and disruptive business models entering the market. Companies are increasingly focusing on customer needs and try to meet them with digital approaches. The early recognition of rapidly changing needs and their reactions is challenging. This paper examines four factors influencing the potentials of the changing customer needs and ongoing digitization in the tourism industry. A hypothesis model developed in previous qualitative research is examined in this paper with a quantitative approach using structural equation modeling. 157 responses from the target group were analyzed to test the factors digital marketing, data mining, digital services and online travel communities. The results of this paper show that digital marketing and data mining have a positive as well as highly significant influence on the potentials of digital approaches in a tourism industry with changing customer needs.