Conjoint Analysis on the Attributes Affecting the Customers’ Preference of Hotel Accommodation
| Keyword | Data-driven predictive maintenance planning framework; Internet of things (IoT) technology; Predictive maintenance; Six sigma DMAIC methodology |
| Authors | Fernandez J.R., Prasetyo Y.T., Persada S.F., Perwira Redi A.A.N. |
| satria.fadil@binus.ac.id | |
| Published Year | 2021 |
Abstract
Hotel is an essential establishment that can offer lodging to travellers and accommodation for
meetings/events. However due to the instability of the market in hotel, in addition to the
COVID-19 pandemic, there is an increase of competition in the industry. In order to cope with
this problem, hotels tend to increase its quality and services in order to meet the ideal
preference of the customer. The study aimed to determine the combination of hotel attributes
that the customer deemed preferred using a Conjoint Analysis Approach. The study specifically
utilized attributes like price, accessibility to nearest landmark, inclusivity of breakfast,
amenities, and dining options. The results show that the price was the most preferred
attributes by the customer (40.787%), followed by the inclusivity of breakfast (32.913%),
accessibility to nearest landmark (15.433%), hotel amenities (8.504%), and the least preferred
is the dining options (2.362%). The outcome will be beneficial to the hotel owners and
manager on the customer preference on the attributes. © 2022 ACM.