TY  - JOUR
T1  - Inter Merchant Negotiation Model in Online Marketplace System
AU - Daru Kusuma, Purba 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 9
SP  - 2951
EP  - 2959
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.2951.2959
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.2951.2959
KW  - Negotiation
KW  -online marketplace
KW  -stochastic
KW  -simulation
KW  -e-Commerce
KW  -negotiation
KW  -interaction
AB  - Interaction and transaction between merchants is very common process in traditional or physical
market. By using this interaction, merchant can provide product in more quantity even their stock is less than
the quantity that is sold in the transaction by using other merchant stock. Unfortunately, this interaction has
not occurs in the online marketplace system yet. Although, the online marketplace system has similar
characteristic with the conventional market which there are more than one merchant that sell same product, there
is not any interaction model that has been developed, so that, these merchants can interact to each others.
Based on this problem in this study, we propose new inter merchant negotiation model that can be implemented
into online marketplace system. So, merchant can sell more quantity by using other merchant’s stock. This
negotiation model is developed by using stochastic approach. In this research, there are two models that are
developed: serial negotiation model and parallel negotiation model. These proposed models then are
implemented into the online marketplace inter merchant simulation application, so that, the model performance
can be evaluated. Based on the test result, there are some research findings. First, the parallel negotiation model
performs a little bit better than serial negotiation model in producing lower total transaction value. It means that
by using parallel negotiation model, buyer pays lower because he gets lower deal price. Second, the number
of sellers has negative correlation with the total transaction value. Third, the seller’s stock quantity has
negative correlation with the total transaction value. Fourth, the requested product quantity has positive
correlation with the transaction value.
ER  -