Literature review on waste management of online food delivery industry in China

Meituan Waimai,which was officially launched in November 2013,has created a huge market for food delivery in China.After years of development,China’s online food delivery market reached RMB 664.62 billion in 2020.In 2022,Meituan Waimai and Ele.me,two food delivery platforms,have created a duopoly in China’s food delivery industry.Due to the success of the food delivery industry,a significant amount of food delivery packaging waste has caused far-reaching harm.This literature review primarily organizes the research on the impact of online food delivery packaging from the perspective of environmental protection.It uses the criterion layer index of online food delivery waste management ecosystem to analyze the impact of the government,environmental non-governmental organizations(NGOs),garbage recycling processors,consumers,online food delivery platforms,takeaway merchants,and takeaway packaging manufacturers.The review shows that scholars generally believe that takeaway waste management is a complex process involving multiple factors.The implementation of policies at the government level is inadequate,and studies at the environmental NGO level are scant.At the consumer level,more environmental awareness education is required.Online food delivery platforms and takeaway merchants should assume greater corporate social responsibility,and manufacturers of takeaway packaging need prioritize the substitution of environmentally friendly materials.There is a consensus that paper-made and recyclable packaging boxes are more environmentally friendly than degradable packaging,which is not as environmentally friendly as is commonly believed.The academia and the industry have conducted various studies and pilot projects on recyclable packaging.If all levels cooperate well,this will be an effective way to manage takeaway packaging garbage.At last,we propose the following assumptions for future research:Besides environmental hazards,takeaway garbage has caused direct or indirect physical harm to humans and animals.Increasing consumer awareness may increase their propensity to participate in governance.Additionally,existing food delivery platforms may need to improve their corporate social responsibility awareness to provide environmentally conscious consumers with sufficient and effective plastic reduction guidance measures during the ordering process.Moreover,will biodegradable plastic products face the same ironic situation as biofuels?That is,the initial intention of technology development is to improve the environment,but the actual process of production or processing may controversially aggravate the environment.

Computation Analysis of Brand Experience Dimensions: Indian Online Food Delivery Platforms

Online Food Delivery Platforms(OFDPs)has witnessed phenomenal growth in the past few years,especially this year due to the COVID-19 pandemic.This Pandemic has forced many governments across the world to give momentum to OFD services and make their presence among the customers.The Presence of several multinational and national companies in this sector has enhanced the competition and companies are trying to adapt various marketing strategies and exploring the brand experience(BEX)dimension that helps in enhancing the brand equity(BE)of OFDPs.BEXs are critical for building brand loyalty(BL)and making companies profitable.Customers can experience different kinds of brand experiences through feeling,emotions,affection,behavior,and intellect.The present research work is taken up to analyze the factors affecting BEX and its impact on BL and BE of the OFDPs and analyze the mediating role of BL in the relationship between BEX and BE of the OFDPs in the Indian context.A survey of 457 Indian customers was carried out.A questionnaire was used for data collection and a mediation study was used to test hypothesized relationships.Our computational analysis reveals that BEX influences the BL and BE of OFDPs.The study further indicates that BL mediates the relationship between BEX and BE of OFDPs.The effective marketing and relationship management practices will help company to enhance BEX that will enable in enhancing BL and raising BE of their product.It therefore provides a more thorough analysis of BEX constructs and their consequences than previous research.Some of the managerial implication,limitations,and scope of future research are also presented in the study.

Behaviour of rainbow trout(Oncorhynchus mykiss) under defensible and indefensible patterns of food delivery

The goal of this study was to investigate the behaviour of rainbow trout(n=30),Oncorhynchus mykiss,in small raceways when either self-feeders(T2) or hand-feeding(t2) were used.The method of food delivery in T2 was defensible while that of t2 was indefensible.Fish in both raceways were subjected to restricted feeding(RF) for 25 days.Food was available in the morning(09:00-10:00) in the downstream area and in the afternoon(16:00-17:00) in the upstream area of the raceways.The results showed that the behaviour of rainbow trout was significantly different under interference competition(T2) for food compared with that under scramble competition(t2).RF in T2 fish limited food availability to meal times when feeding rewards were available while t2 fish only responded to the location of food delivery.The aggressive fish in T2 were dominant,and t2 fish at high densities showed intense social interactions under the indefensible pattern of food distribution;these interactions did not dampen to a minimum level to suppress the development of dominance hierarchies.Further,the stocking density did not break down the dominance hierarchies between the T2 fish.This suggests that decreased efficiency in the search for food or inefficient foraging,induced by interference competition at high densities,affected the behaviour of rainbow trout.

Reinforcement Learning-Based Dynamic Order Recommendation for On-Demand Food Delivery

On-demand food delivery(OFD)is gaining more and more popularity in modern society.As a kernel order assignment manner in OFD scenario,order recommendation directly influences the delivery efficiency of the platform and the delivery experience of riders.This paper addresses the dynamism of the order recommendation problem and proposes a reinforcement learning solution method.An actor-critic network based on long short term memory(LSTM)unit is designed to deal with the order-grabbing conflict between different riders.Besides,three rider sequencing rules are accordingly proposed to match different time steps of the LSTM unit with different riders.To test the performance of the proposed method,extensive experiments are conducted based on real data from Meituan delivery platform.The results demonstrate that the proposed reinforcement learning based order recommendation method can significantly increase the number of grabbed orders and reduce the number of order-grabbing conflicts,resulting in better delivery efficiency and experience for the platform and riders.

From agricultural cellulosic waste to food delivery packaging: A mini-review

The growing food delivery service market has boosted the consumption of packaging materials, and this trend is projected to continue in the following years. The gap between industrial supply and consumer demand from a sustainable viewpoint leads to a need for agricultural cellulosic waste-based materials that bring the idea of trash-to-treasure to fruition. In this paper, we review up-to-date advancements surrounding the food delivery packaging that are derived from agricultural cellulosic waste. Two scenarios in which agricultural feedstock is used as a host or guest material are summarized, and sketch on the individual processing routine is depicted. We further evaluate how the chemical compositions and processing parameters influence the properties of the final products. Current challenges and gaps in developing sustainable packaging materials are identified, with perspectives on these important issues highlighting the importance of process innovation as well as economic and environmental-impact assessment for agricultural cellulosic waste to food delivery packaging.