Multi-Criteria Decision Making with the VIKOR and SMARTER Methods for Optimal Seller Selection from Several E-Marketplaces

Miftahul Arif,Jatmiko Endro Suseno,R Rizal Isnanto,B Warsito,Sudarno Sudarno,T Triadi Putranto

doi:10.1051/e3sconf/202020214002

Abstract

Many similar products offered by several sellers in e-marketplace applications make the buyers need to be more selective when shopping. This article addresses the prioritization of the goods sellers alternatives in e-marketplace by integrating the VIKOR with the SMARTER method for the process of multi-criteria decision making (MCDM) by considering various variables as selection criteria. There are five variables of sellers in the e-marketplace that are used as selection criteria, namely: product price, number of products sold, seller score rating, number of reviews with five stars, and location distance. The SMARTER method is used to determine the criteria weight, and the VIKOR model to rank the alternative priorities according to the weighted index. The case studies are conducted on three e-marketplace in Indonesia with the most number of monthly web visitors, namely: Shopee, Tokopedia, and Bukalapak. Finally, integration of SMARTER and VIKOR method allows the buyers to get the good products at competitive prices from the optimal goods sellers in the e-marketplace.

Highlights

The great market potential and good growth trends make e-marketplace one of the most successful digital businesses in Indonesia
Big Data analytics on e-marketplace can help companies to learn about consumer behaviour in shopping, while from the consumer side can make it easier to decide on the purchase of goods [2]
This study aims to combine the VIKOR and SMARTER method to provide recommendations for the optimal goods sellers from three e-marketplaces at once automatically, namely: Shopee, Tokopedia, and Bukalapak

Summary

Introduction

The great market potential and good growth trends make e-marketplace one of the most successful digital businesses in Indonesia. This success is one of the more factors in the increasing number of choices in the e-marketplace, both in terms of application and number of sellers. Data on e-marketplace developments in Indonesia in the fourth quarter of 2019 obtained from the site of online shopping aggregator iPrice, mentioned that Shopee has become an emarketplace with the highest number of monthly web visitors, followed by Tokopedia and Bukalapak behind it. This paper will be focused on the selection of the optimal goods sellers from the three e-marketplace, namely: Shopee, Tokopedia, and Bukalapak

Objectives

Methods

Discussion

Conclusion