Information system selection for hospitality industry via integrated use of IVIF-DEMATEL and IVIF-TOPSIS

Article type: Research Article

Authors: Kilic, Huseyin Selcuk^{a; 1} | Kalender, Zeynep Tugce^{a; 2; *} | Yalcin, Ahmet Selcuk^{b; 3} | Erkal, Gizem^{a; 4} | Tuzkaya, Gulfem^{a; 5}

Affiliations: [a] Marmara University, Industrial Engineering Department Istanbul, Turkey | [b] Okan University, Industrial Engineering Department Istanbul, Turkey

Correspondence: [*] Corresponding author. Zeynep Tugce Kalender, Marmara University, Industrial Engineering Department Istanbul, 34722, Turkey. Tel.: +90 216 777 3647; E-mail: tugce.simsit@marmara.edu.tr.

Note: [1] [0000-0003-3356-0162]

Note: [2] [0000-0002-9491-7252]

Note: [3] [0000-0001-8963-0604]

Note: [4] [000-0001-6033-4289]

Note: [5] [0000-0001-7683-4405]

Abstract: Like the other industries, information technologies are very important tools for the hotels’ success in the tourism industry. Various processes required for the hotel business can be integrated by using a proper system, and simultaneous data transfer among different channels can be facilitated. Due to its contribution in creating value for the customers and the increasing efficiency of the processes, substantial investments in information technologies are planned by the hotel management. Like most operation management problems, evaluation and selection of proper hotel information systems require considering multiple criteria. Also, considering the uncertainty inherent to the problem and difficulties during the evaluation process, an integrated IVIF-DEMATEL and IVIF-TOPSIS approach is utilized in this paper. The IVIF-DEMATEL is used for the criteria evaluation, and the weight determination phase and IVIF-TOPSIS is used to evaluate hotel information systems alternatives. An application for the Turkish tourism sector’s case is realized, and the results of the methodology are compared with the IVIF-VIKOR approach.

Keywords: Channel manager, hotel information system, IVIF-DEMATEL, IVIF-TOPSIS

DOI: 10.3233/JIFS-219194

Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 317-335, 2022