TY - CHAP

T1 - Towards Fashion Renting: Identification of Influencing Factors for Consumer Behavior

AU - Quadras, Djonathan

AU - Müller, Kristin

AU - Pirola, Fabiana

AU - Heger, Jens

AU - Fani, Virginia

AU - Bandinelli, Romeo

N1 - Conference code: 39

PY - 2025/6

Y1 - 2025/6

N2 - The Fashion Industry is one of the most polluting economic sectors, contributing to a massive generation of greenhouse gas emissions. This characteristic makes the shift towards a sustainable production and consumption model in fashion challenging and urgent. In this context, Fashion Renting emerges as a solution that may extend the product lifecycle and reduce environmental impact. Nevertheless, although different studies focus on analyzing the correlation between variables in specific scenarios, different nomenclatures are given to the same factor, and no study has comprehensively aggregated these parameters to develop a broader model. This gap makes it difficult for researchers to develop simulations that truly represent the customers’ behavior. The present paper aims to fill this gap by the development of a Systematic Literature Review. The results present a guideline explaining and correlating the different factors influencing the behavior that may drive or hinder customer intention to engage in fashion collaborative consumption. The achieved results can be used both by researchers when developing simulations to compare different approaches and scenarios in shared economy for fashion and by practitioners, when planning strategies for the business.

AB - The Fashion Industry is one of the most polluting economic sectors, contributing to a massive generation of greenhouse gas emissions. This characteristic makes the shift towards a sustainable production and consumption model in fashion challenging and urgent. In this context, Fashion Renting emerges as a solution that may extend the product lifecycle and reduce environmental impact. Nevertheless, although different studies focus on analyzing the correlation between variables in specific scenarios, different nomenclatures are given to the same factor, and no study has comprehensively aggregated these parameters to develop a broader model. This gap makes it difficult for researchers to develop simulations that truly represent the customers’ behavior. The present paper aims to fill this gap by the development of a Systematic Literature Review. The results present a guideline explaining and correlating the different factors influencing the behavior that may drive or hinder customer intention to engage in fashion collaborative consumption. The achieved results can be used both by researchers when developing simulations to compare different approaches and scenarios in shared economy for fashion and by practitioners, when planning strategies for the business.

KW - Engineering

KW - Fashion Renting

KW - Collaborative consumption

KW - Sharing economy

KW - Sustainability

KW - Consumer behavior

UR - http://www.scopus.com/inward/record.url?scp=105010602613&partnerID=8YFLogxK

M3 - Article in conference proceedings

SN - 978-3-937436-86-9

SN - 979-8-3313-2121-5

T3 - Communications of the ECMS

SP - 62

EP - 68

BT - Proceedings of the 39th ECMS International Conference on Modelling and Simulation, ECMS 2025

A2 - Scarpa, Marco

A2 - Cavalieri, Salvatore

A2 - Serrano, Salvatore

A2 - De Vita, Fabrizio

PB - European Council for Modelling and Simulation

CY - Caserta

T2 - 39th ECMS International Conference on Modelling and Simulation - ECMS 2025

Y2 - 24 June 2025 through 27 June 2025

ER -