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

All industries are affected by finance factors and the first factor to evaluate the development of a country must be its financial resource in which the banking sector development plays a significant role. The bank is seen as the lifeblood of an economy, an intermediary activity associated with the movement of the entire economy and covering all socio-economic activities. The research calculates the performance of Vietnamese banks in order to rank decision-making units (DMUs) in progress of business movement through Super SBM Model. The Super SBM model can measure the super-efficiency of variables with the maximum value higher than 1. The result of the empirical researching of input and output factors shows scores of banks over periods and it that VIB Bank with its scores upper 1.527207 stay in the rank of the top bank in Vietnam over the period 2013 to 2016.

Retailing is the act of selling goods or commodities in small quantities directly to consumers. These items are purchased from manufacturers or wholesalers and sold to end users at a marked up price. Retailing is a very special sector because it demonstrates the effectiveness of combined products and services to create business value. In this research, the authors want to investigate the particular areas of purchasing process in Big C (Hanoi-Vietnam). One purchasing product, which is an instant coffee brand, is selected as the main focus during the research. The data was collected by experts of Big C supermarket, which first go through the Delphi method to choose criteria and sub-criteria for the Analytic Hierarchical Process (AHP). After a long process of calculation based on AHP and referring experts' opinions, we choose out the best final potential supplier that is Trung Nguyen then follow with Vina Cafe, NesCafe, Starbucks and G8 Coffee. The results of this research would contribute to improve the overall purchasing process of the whole retail industry in terms of how to choose the right partners, especially for the case of Big C itself.