Investigation of rental business model for collaborative consumption - workwear garment renting in business-to-business scenario

Vijay Kumar*, Daniel Ekwall, Daniel Sun Zhang

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

Increasing population and improving living standards have continued to amplify the consumption of textiles and apparel, which has created challenges in resource management and sustainable development. In this context,
renting-based collaborative consumption business models (CCBMs) have received considerable attention in recent times. Consumption through renting allows the replacement of ‘ownership’ of a product to ‘usership’
which creates new opportunities for the companies as well as for the customers. For the development of rentingbased CCBMs or decision making in rental activities by the companies, one of the fundamental requirements is
the baseline characterization of consumers’ renting pattern – which includes general rent duration, renting frequency, inventory management, rental product movement, etc. – that acts as input from the operational aspect of a rental business. In this context, the paper aims at investigating the general renting characteristics for workwear garments through data analysis of about 5.4 million garment-rents to multiple business customers over 6 years. Further, the implications of the renting characteristics are investigated through discrete event simulations under various scenarios of inventory management by the customers. The findings from the study are anticipated to help the rental companies in operational and strategic decision-making.
Original languageEnglish
Article number106314
Peer-reviewed scientific journalResources, Conservation and Recycling
Volume182
ISSN0921-3449
DOIs
Publication statusPublished - 07.04.2022
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • collaborative consumption
  • workwear apparel renting
  • discrete event simulation
  • business-to-business

Areas of Strength and Areas of High Potential (AoS and AoHP)

  • AoHP: Humanitarian and societal logistics

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