Print Email Facebook Twitter A multi-criteria assessment to determine the customers’ technology preference in the context of apparel e-commerce Title A multi-criteria assessment to determine the customers’ technology preference in the context of apparel e-commerce Author KALPOE, RUCHIKA (TU Delft Technology, Policy and Management) Contributor Rezaei, J. (mentor) Asghari, H. (graduation committee) van Wee, G.P. (graduation committee) Degree granting institution Delft University of Technology Programme Complex Systems Engineering and Management (CoSEM) Date 2020-07-09 Abstract This research aims to identify what the customers’ acceptance is regarding various technological alternatives designed to prevent unnecessary apparel returns within the context of apparel e-commerce. This is done by applying a more qualitative approach and operationalization of the Technology Acceptance Model (TAM), whereby less data is required to produce reliable results. As such, a Multi-Criteria Decision-Analysis (MCDA) approach is used, wherein the novel Bayesian Group Best-Worst Method (BWM) is applied to infer the optimal group weights of the indicators (i.e. criteria) that influence customers’(users’) technology acceptance (TA). This is done within the context of apparel e-commerce and with the application of qualitative tools such as an online BWM survey and expert interviews. This research contributes to the empirical application of the novel Bayesian BWM, in the specific field of apparel e-commerce and proves that users’ technology acceptance can be predicted by applying the aforementioned MCDA approach as well. Subject Returns ManagementApparel e-commerceCustomer-based information technologiesMulti-Criteria AnalysisBayesian Best-Worst MethodTechnology Acceptance ModelUser acceptance To reference this document use: http://resolver.tudelft.nl/uuid:17d3b44a-5235-4864-8619-8274ea470598 Part of collection Student theses Document type master thesis Rights © 2020 RUCHIKA KALPOE Files PDF Master_Thesis_Ruchika_Kal ... 192001.pdf 2.71 MB Close viewer /islandora/object/uuid:17d3b44a-5235-4864-8619-8274ea470598/datastream/OBJ/view