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Logistic Regression of Czech Luxury Fashion Purchasing Habits During the Covid-19 Pandemic – Old for Loyalty and Young for Sustainability? Cover

Logistic Regression of Czech Luxury Fashion Purchasing Habits During the Covid-19 Pandemic – Old for Loyalty and Young for Sustainability?

Open Access
|Jun 2022

Abstract

Research background: The sustainability reflected by the CSR of luxury fashion businesses, should meet stakeholders´ expectations and lead to an increase in customers´ buying decisions.

Purpose: To analyze Czech luxury fashion purchasing habits during the COVID-19 pandemic and to achieve a deeper understanding with new propositions in this area.

Research methodology: A logistic regression is performed and based on data gained from an investigative survey employing a questionnaire of a homogenous Czech group of purchasers. The comparison of the resulting logistic models and field observations with a holistic and empiric Meta-Analysis allows one to heuristically achieve an understanding of such an inclination.

Results: Seven unexpected propositions emerge and call for further research, such as those during the COVID-19 pandemic, older Czech luxury fashion customers stick even more with their brand loyalty while younger buyers focus on sustainability.

Novelty: The performed case study with a survey link sustainability perception and purchasing habits by relevant cohorts of luxury fashion stakeholders. The presented propositions about trends contributes to the development of the theory about purchase inclination determinants.

DOI: https://doi.org/10.2478/foli-2022-0005 | Journal eISSN: 1898-0198 | Journal ISSN: 1730-4237
Language: English
Page range: 85 - 110
Submitted on: Jan 24, 2022
Accepted on: Mar 31, 2022
Published on: Jun 18, 2022
Published by: University of Szczecin
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2022 Martin Hála, Eva Daniela Cvik, Radka MacGregor Pelikánová, published by University of Szczecin
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.