Customer Transaction Costs Simulation in E-Commerce
Oleg Pursky, Oleksandr Kharchenko, Tetiana Dubovyk, Iryna Buchatska, Iryna Gamova, Pavlo Demidov
Available Online 23 March 2020.
- https://doi.org/10.2991/aebmr.k.200318.032How to use a DOI?
- e-commerce, transaction costs simulation, customers, collective goods delivery, conversion rate
- The present study reports the results of simulating the customer transaction costs in e-commerce. In this investigation, we have focused our attention to influence of introduction of the collective product delivery routes and the level of consumer conversion rate on the customer transaction costs in e-commerce. The simulation of customer transaction costs in e-commerce show that they can be significantly reduced by optimizing the delivery routes and increasing conversion rates. A reduction of the customer transaction costs in comparison with individual delivery costs is connected with taking into account in calculation introduction of collective delivery routes. It was found the that reduction of customer transaction costs involves an optimizing the collective routes of goods delivery. The reason for this can be attributed to the fact that the increasing the number of delivery addresses per route can result in a lower delivery costs for per buyer. The maximal effect is observed for central city zone, where it is possible to carry out an effective territorial combination of the addresses of buyers in the delivery route.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Oleg Pursky AU - Oleksandr Kharchenko AU - Tetiana Dubovyk AU - Iryna Buchatska AU - Iryna Gamova AU - Pavlo Demidov PY - 2020 DA - 2020/03/23 TI - Customer Transaction Costs Simulation in E-Commerce BT - Proceedings of the III International Scientific Congress Society of Ambient Intelligence 2020 (ISC-SAI 2020) PB - Atlantis Press SP - 257 EP - 263 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200318.032 DO - https://doi.org/10.2991/aebmr.k.200318.032 ID - Pursky2020 ER -