Online Shop Recommendations: Decision Support System Based on Multi-Objective Optimization on the Basis of Ratio Analysis

Abstract

Business technological advancement facilitates human activities through online shopping. The number of online shops in the marketplace offers many kinds of products with attractive marketing strategies thus the customers are confused with the product comprising. Therefore, this research tries to provide an optimal online shop recommendation as an alternative solution. The Decision Support System (DSS) approach on management model applied Multi-Objective Optimization on the Base of Ratio Analysis (MOORA) for the analytical calculation by considering several criteria, including price, rating, discount, a product sold, and response chat. It reveals the ranking of fifty on-line shops in the marketplace as the maximum alternatives' product recommendations. Thus, the customers will be smartly guided to choose the high-quality product at the greatness services of an online shop. The mechanism of DSS based on MOORA was applied through the construction of a prototype system, namely DSS-MyProduct. DSS-MyProduct suggests the buyers with optimal products and the greatest online shop choice for shopping. The application has been tested by using Blackbox and User Acceptance Test (UAT) testing which indicated that the application can perform the functions and operational procedures appropriately. 83.4% of users agreed that this DSS-MyProduct aids them in deciding on the optimal choice preferred in shopping. The comparison of user manual selection and system calculation shows a positive outcome on the accuracy of the system. Hence, this application can be used by the marketplace as a smart recommendation tool for product selection.

Combination of Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) in Determining the Best Cashier

“…MOORA assists in informed decision making with objectives that are in line with the organization's goals and vision. In addition, this approach promotes transparency and accountability by providing a clear basis for the selection of selected alternatives, making it a valuable tool for organizations and individuals seeking ways to address the complexities of multi-purpose decision-making [10].…”

Optimizing Placement of Field Experience Program: An Integration of MOORA and Rule-Based Decision Making

“…More importantly, organizational learning continues towards sustainable gains in productivity and organizational excellence. Many methods have been applied in figuring out the problems related to MADM, including the simple additive weighting method (SAW) (Engel et al, 2017), the analytic hierarchy process (AHP) (Fox et al, 2015;Okfalisa et al, 2018;Leny & Okfalisa, 2019), and the technique for order preference by similarity to ideal solution (TOPSIS) (Conejero et al, 2020), ELECTRE (Mishra et al, 2020) and the latest is MOORA (Okfalisa et al, 2020). Besides, Martusorn et al (2019) tried to compare the effectiveness of SAW, AHP, and TOPSIS in selecting a suitable warehouse location.…”