| Title |
Investigation of rental business model for collaborative consumption-workwear garment renting in business-to-business scenario |
| ID_Doc |
69953 |
| Authors |
Kumar, V; Ekwall, D; Zhang, DS |
| Title |
Investigation of rental business model for collaborative consumption-workwear garment renting in business-to-business scenario |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.resconrec.2022.106314 |
| 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 renting based 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. |
| Author Keywords |
Collaborative consumption; Workwear apparel renting; Discrete event simulation; Business-to-business |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000806898600001 |
| WoS Category |
Engineering, Environmental; Environmental Sciences |
| Research Area |
Engineering; Environmental Sciences & Ecology |
| PDF |
https://doi.org/10.1016/j.resconrec.2022.106314
|