Fuzzy Multi-Criteria Decision-Making Approach for Online Food Delivery (OFD) Companies Evaluation and Selection: A Case Study in Vietnam

The COVID-19 pandemic has boosted the growth of online food delivery (OFD) market in every corner world. In Vietnam, service is rising rapidly and opening a large gateway opportunities for numerous OFD platforms, also making it competing business this country. Thus, to keep up with ever-changing dynamics, there are measures dimensions entrepreneurs take into consideration towards sustainable development. This paper’s objective evaluate major companies Vietnam based on comprehensive set criteria, which social environmental criteria (healthy safety, information security, impact), economic (delivery cost, operational capability, risk management), quality (order fulfillment, speed, convenience payment, online/offline level, customer feedback), technology (web design, real-time tracking systems, marketing techniques). To achieve objective, work proposes multi-criteria decision-making (MCDM)-based framework combining fuzzy analytic hierarchy process (FAHP) weighted aggregated sum product assessment (WASPAS). FAHP used generate weights theory applied translate linguistic evaluation statements experts. Then, WASPAS rank against selected criteria. that have obtained maximum weight priority analysis “convenience payment”, “delivery speed”, “online level”, “order fulfillment”, cost”. From final ranking WASPAS, Foody today best performing player regarding followed by GrabFood Now. proposed methodology can be an accurate robust model industry, while managerial implications study provide significant materials decision-makers improving their businesses