Özet:
This study aims to examine the reviews of guests who had Airbnb experience in Mexico City,
Athens, and Tokyo in terms of host-guest interaction. In this way, we intend to interpret guest's
experience, satisfaction, recommend and revisit intention phenomenon in terms of depth and
breadth of host's sincerity. We adopt an interpretive approach and a mixed method. That is, the
study combines topic extracting technic by employing online secondary big data and explicating
emerging themes and patterns. The paper highlights firstly sincerity of communication in
sentences with host name emphasized. On the other hand, the host's responsive and
communicative nature improves friendliness over time, which affects experience, satisfaction,
recommend and revisit. Finally, Airbnb hosts are intermediator of local culture. In our research,
a lexicon specific to our research topic (guest-host communication) was created by using topic
extraction, Tf*Idf and named entity extraction techniques. The created lexicon can be used in
other studies in this field. Furthermore, we conclude that using hosts’ name in reviews by guest
an important attribute of interaction. Findings from this study provides important managerial
implications for hospitality industry and Airbnb hosts who attempt to interact with guest
accurately. Thence the study suggests a communication should enclose diverse and accurate
information, host should pay attention to be friendly and communicative, respond as quickly as
possible.
