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

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

Author(s): Martin Hála, Eva Daniela Cvik, Radka MacGregor Pelikánová
Subject(s): Economy, Business Economy / Management, Socio-Economic Research, Transport / Logistics
Published by: Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Keywords: Corporate Social Responsibility (CSR); Czech purchasers; logistic regression models; luxury industry; sustainability

Summary/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.

  • Issue Year: 22/2022
  • Issue No: 1
  • Page Range: 85-110
  • Page Count: 26
  • Language: English
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