Download PDFOpen PDF in browserCurrent version

Web Page Design Based on Generation Differences Using Hesitant Fuzzy Sets Preprint Version Information

EasyChair Preprint 2966, version 1

Versions: 12history
8 pagesDate: March 15, 2020

Abstract

Online shopping has a vital place in shopping behavior. Various factors have an impact on individuals’ motivations for online shopping. In this study, the online shopping motivation of individuals who have experienced that earlier has been evaluated with regards to the Technology Acceptance Model, Diffusion of Innovation Theory, and Extended Unified Theory of Acceptance and Use of Technology. An integrated model is developed by using the innovativeness and relative advantage factors from the Diffusion of Innovation Theory; perceived usefulness, perceived ease of use, attitude towards use and usage intention factors from Technology Acceptance Model and finally habit, hedonic motivation and social influence from Extended Unified Theory of Acceptance and Use of Technology. All those factors and relationships between factors were tested using PLS-SEM. The model is employed to test the online shopping behavior of Generation X, Y, and Z and revealed the differences among those 3 groups. After found out differences and significant relationships among generations, hesitant fuzzy cognitive mapping method is used to explain how to webpage design should be for each generation members. The study explains which factors are given priority when building a webpage for target generation based on factors of proposed model.

Keyphrases: Diffusion of Innovation Theory, Extended unified technology acceptance model, Generation cohort, Hesitant Fuzzy Sets, PLS-SEM, Technolgy acceptance model, online shopping, web page design

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:2966,
  author    = {M. Çağrı Budak and Sezi Çevik Onar},
  title     = {Web Page Design Based on Generation Differences Using Hesitant Fuzzy Sets  Preprint Version Information},
  howpublished = {EasyChair Preprint 2966},
  year      = {EasyChair, 2020}}
Download PDFOpen PDF in browserCurrent version