Version 1
: Received: 21 June 2023 / Approved: 22 June 2023 / Online: 22 June 2023 (11:55:24 CEST)
How to cite:
Özdemir, O.; Erten, P. Examining the factors affecting online shopping orientations: A structural equation modeling. Preprints2023, 2023061614. https://doi.org/10.20944/preprints202306.1614.v1
Özdemir, O.; Erten, P. Examining the factors affecting online shopping orientations: A structural equation modeling. Preprints 2023, 2023061614. https://doi.org/10.20944/preprints202306.1614.v1
Özdemir, O.; Erten, P. Examining the factors affecting online shopping orientations: A structural equation modeling. Preprints2023, 2023061614. https://doi.org/10.20944/preprints202306.1614.v1
APA Style
Özdemir, O., & Erten, P. (2023). Examining the factors affecting online shopping orientations: A structural equation modeling. Preprints. https://doi.org/10.20944/preprints202306.1614.v1
Chicago/Turabian Style
Özdemir, O. and Pınar Erten. 2023 "Examining the factors affecting online shopping orientations: A structural equation modeling" Preprints. https://doi.org/10.20944/preprints202306.1614.v1
Abstract
E-commerce platforms created to meet the needs of digital consumers, who are the leading actors of digital-oriented consumption, are increasing rapidly. Revolutionizing our daily lives by offering the digital equivalent of real-world experiences, e-commerce now offers a comfortable shopping experience that transcends the limitations of time and space. This phenomenon has been embraced by individuals spanning all age groups, from young children to the elderly. Structural equation modeling was used in this study, in which the factors affecting online shopping addiction were determined. In this direction, the causal and correlational relationships between the variables of fear of missing out (FoMO), cognitive load, personality types, some socio-demographic characteristics (gender and monthly shopping amount) and online shopping addiction in online shopping were revealed structurally. Since the purposive sampling was used, the study was carried out on 488 people. The goodness-of-fit indices included in the created model were found at an “acceptable” level (χ2/df= 2.248, p=0.000; RMSEA=0.051; GFI=0.878; AGFI=0.856; CFI=0.950; NFI=0.914). These results show that the final version of the model meets the necessary criteria for a good fit, its validity and accuracy. The study revealed the causal and correlational relationship between online shopping addiction and cognitive load, personality types, FoMO, gender, and monthly online shopping amount.
Keywords
online shopping; structural equation modeling; cognitive load; fear of missing out; personality type; online shopping addiction
Subject
Business, Economics and Management, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
