Group Purchase Research Articles

Community Group Purchasing of Next-Day Delivery: Bridging the Last Mile Delivery for Urban Residents during COVID-19

The rapid development of new retail and the impact of COVID-19 have catalyzed the blowout growth of community group purchasing. The emergence of community group purchasing collection and delivery points (CGPCDPs) has become a new way to solve the “last mile” problem of new retail delivery. Based on the point of interest (POI) data of CGPCDPs of Nansha District, Guangzhou City, this study advances our understanding by identifying unique operational models, service targets, and spatial distribution patterns of CGPCDPs, which differ significantly from traditional pick-up points (PPs). The conclusions are as follows: (1) Most CGPCDPs depend on wholesale and retail shops, and their main service targets are urban and rural communities, followed by industrial areas. (2) The distribution of CGPCDPs has apparent spatial differentiation. At the macro scale, it shows the characteristics of “central agglomeration and peripheral dispersion”. It is distributed along the “northwest-southeast” direction and presents a “dual-core multi-center” pattern. At the meso–micro scale, different built environments in developed areas of cities, villages in the city (ChengZhongCun), and rural areas show distinct distribution patterns. (3) The main influencing factors of their spatial distribution are population density, construction land, house price, supporting place, residence density, urban community, and road proximity.

Research on Joint Distribution Path Planning of Electric Logistics Vehicles with Different Recharge Modes

To address the route planning issues under the community group purchase model for joint delivery, this study thoroughly considers electric logistics vehicles with different recharging methods. The objective is to minimize the sum of operating costs, recharging costs, time window penalty costs, and carbon emission costs. Separate multi-objective optimization models for route planning are constructed for both charging and battery-swapping logistics vehicles. An improved seagull optimization algorithm, guided by the golden sine strategy of the Lévy flight guidance mechanism, is employed to avoid local optima and enhance the solution efficiency. The feasibility of the models and the algorithm is verified through simulation examples. Experimental results show that, at the current stage, battery-swapping logistics vehicles display significant advantages over charging electric logistics vehicles. Although battery-swapping logistics vehicles extend delivery time, they can reduce the total delivery costs to a certain extent. Therefore, the future development prospects of battery-swapping logistics vehicles will be even broader.

Examining the 2021 Cash Value Benefit Increase and WIC Participant Food Purchases

IntroductionThe Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides nutritious foods to more than six million low-income families. In June 2021, WIC increased the amount of money provided for fruits and vegetables (FV), but studies have not investigated whether this increase changed WIC participant FV purchases. The objective was to estimate the association between the FV funding increase and WIC shopper FV purchases. MethodsThis evaluation uses longitudinal food transaction data from 496 stores in a grocery store chain in North Carolina between June 2020 and April 2022 and a propensity score weighted difference-in-differences (DID) approach to estimate the association between the FV funding increase and FV and other food group purchases. Analyses were conducted in 2023 and 2024. ResultsWIC shoppers’ WIC-eligible FV purchases increased by $12.4 per shopper per month (Adjusted Confidence Interval (ACI), $12.0 to $12.9) after the FV benefit increase, which was $9.3 (ACI, $8.7 to $10.0) more than non-WIC shoppers. The monthly volume and unique varieties of FV purchased also increased more among WIC shoppers relative to non-WIC shoppers (DID 67.1 ounces (ACI, 61.9 to 72.3) and DID 2.1 varieties (ACI, 2.0 to 2.3)). There were also increases in the volume of processed foods (DID 22.0 ounces (ACI, 17.2, 26.9)) and sugar-sweetened beverages (DID 49.1 ounces (ACI, 33.4, 64.9)) purchased among WIC shoppers relative to non-WIC shoppers. ConclusionsIncreased WIC FV funding was associated with greater FV purchases. Research is needed to understand the effects of this policy on total dietary intake.

Who do you want to purchase with? The effect of naming strategy on consumer participation in online group purchase

Online group purchases are gaining popularity in online retailing. However, consumers' responses to personally identifiable information such as the initiator's account naming style are still unclear. With three experiments conducted in social-commerce contexts, the research found that a typical (vs. atypical) account name increases consumers' purchase intentions. The effect holds for high-involvement purchases, hedonic products, and a small participant size, while mitigates for low-involvement purchases, utilitarian products, and a large participant size. The research uncovered that trust in the initiator and trust in the product serially mediate the naming style effect. The theoretical and practical implications are also discussed.

Evolution and Implications During the Epidemic-Contemplation on the Robust Communities amid the Group Purchase Trend amid the Shanghai Outbreak

In March 2020, Shanghai experienced an outbreak of an epidemic and implemented several months of territory-wide static management. The community was the smallest closure and control unit for grid control. This thesis uses questionnaire interviews, literature review, and correlation analysis to study the phenomenon of community chiefs and regimentation during the Shanghai outbreak, taking the Shannan Estate in Shanghai as an example. This paper reports that the headman model has improved the mechanism and mode of grassroots work, tapped elite talents, and established a mechanism of community self-organisation and multi-party participation oriented to the needs of residents in the social aspect. In the spatial aspect, the construction of a five-minute community living circle was combined with the improvement of the mechanism of composite use of community facilities. This statement will have a positive impact on strengthening community resilience and promoting sustainable development in the post-epidemic era.

Evolution and Implications During the Epidemic-Contemplation on the Robust Communities amid the Group Purchase Trend amid the Shanghai Outbreak

In March 2020, Shanghai experienced an outbreak of an epidemic and implemented several months of territory-wide static management. The community was the smallest closure and control unit for grid control. This thesis uses questionnaire interviews, literature review, and correlation analysis to study the phenomenon of community chiefs and regimentation during the Shanghai outbreak, taking the Shannan Estate in Shanghai as an example. This paper reports that the headman model has improved the mechanism and mode of grassroots work, tapped elite talents, and established a mechanism of community self-organisation and multi-party participation oriented to the needs of residents in the social aspect. In the spatial aspect, the construction of a five-minute community living circle was combined with the improvement of the mechanism of composite use of community facilities. This statement will have a positive impact on strengthening community resilience and promoting sustainable development in the post-epidemic era.

The rise of online group purchases in the age of pandemics

In the wake of the COVID-19 pandemic, a significant shift in consumer behavior has accelerated the transition towards e-commerce, with a notable surge in online group buying. This research pioneers the integration of the Theory of Planned Behavior with neurophysiological measurements to dissect the complex interplay between product price, risk perception, and consumer trust in influencers on online group buying intentions amidst a global health crisis. Unlike previous studies that primarily rely on self-reported data, this investigation employs brainwave analysis to capture the immediate physiological responses of consumers to pandemic-related stimuli, thereby offering a novel perspective on the underlying psychological processes. Our findings reveal that while traditional factors such as price, quantity, and time continue to influence purchasing attitudes, the pandemic has uniquely modulated these effects, with social influence playing a pivotal role in shaping trust towards influencers and, consequently, group buying intentions. Significantly, the study uncovers that COVID-19's impact, though seemingly negligible in survey responses, exerts a profound influence when assessed through experimental measures. By bridging the gap between theoretical models and empirical neurological evidence, this study not only addresses a critical research void but also enhances our understanding of consumer decision-making in times of uncertainty. This advancement in knowledge contributes to the extant literature by providing a more nuanced and comprehensive analysis of the factors affecting online group buying, offering valuable insights for both academics and practitioners navigating the evolving landscape of e-commerce during and beyond the pandemic era.

Exploring the Pillars of Consumer Dedication in Digital Group Purchases: Insights from the ECM and ISC Frameworks

Exploring the Pillars of Consumer Dedication in Digital Group Purchases: Insights from the ECM and ISC Frameworks

Enhancing Duoduoaicai's Customer Experience through New Retail Strategies in Fresh Food - Take the Pick-Up Points Around Ningxia University as an Example

Community group purchase has received widespread attention. Pinduoduo-group purchases have achieved remarkable results. Through the IPA analysis to study the impact of different factors of service on consumer behavior, it can be clear that Duoduomaicai consumers are most concerned about the factors, and the platform needs to improve the level of service in the quality of fresh products freshness and after-sales service through the means of logistics, big data aspects. The study of this issue can provide information support for the field of new retail research about the area around Ningxia University.

Research on end-route planning for community group purchasing for vehicles with different energy sources

To address the issue of final delivery route planning in the community group purchase model, this study takes into full consideration logistics vehicles of different energy types. With the goal of minimizing the sum of vehicle operating costs, delivery timeliness costs, goods loss costs, and carbon emissions costs, a multi-objective optimization model for community group purchase final delivery route planning is constructed. An improved genetic algorithm with a hill-climbing algorithm is utilized to enhance adaptive genetic operators, preventing the algorithm from getting stuck in local optima and improving the solution efficiency. Finally, a case study simulation is conducted to validate the feasibility of the model and algorithm. Experimental results indicate that currently, among the three types of vehicles, fuel logistics vehicles still have an advantage in terms of vehicle usage cost. Electric logistics vehicles exhibit the poorest performance with the highest cost per hundred kilometers, but their sole advantage lies in their high energy release efficiency, enabling optimal low-carbon vehicle performance. Battery-swapping logistics vehicles perform the best in terms of carbon emissions, combining the advantages of both fuel-based and electric logistics vehicles. Therefore, battery-swapping logistics vehicles are a favorable choice for replacing fuel-based logistics vehicles in the future, offering promising prospects for future development.

Online community group food purchasing during the COVID-19 pandemic: Food security, problems, and sustainability

The outbreak of the COVID-10 variant Omicron epidemic in Shanghai in 2022 had a huge impact on residents' food security. This study examines the roles, challenges, and sustainability of online community group food purchasing by analyzing survey data collected from 1168 households in Shanghai between March and May 2022, in the aftermath of COVID-19. This study demonstrates that online community group food purchasing played a crucial role in ensuring residents' food access and food security during the pandemic. However, this study also reveals that residents expressed concerns about the risk of epidemic transmission, food safety, increased prices, and difficulty in safeguarding rights. Only 21.5 % of residents are willing to continue using online community group purchasing. Based on the above conclusions, this study offers some suggestions.

Research on the improvement mechanism of value-based healthcare objectives in pharmaceutical group procurement

Focusing on the research scenario that integrates value-based healthcare objectives with the pharmaceutical group purchasing model, this study delineates value-based healthcare objectives in pharmaceutical group purchasing from three perspectives: drug sales price, drug quality, and service level. We construct a three-level pharmaceutical group purchasing supply chain consisting of drug manufacturers, medical institutions, and non-profit drug group purchasing organisations. Under centralised and decentralised decision-making, we introduce cost-sharing contracts and “cost-sharing-quantity-discount” contracts to analyse the impact of factors such as drug sales price, quality, and sensitivity of the service level. The study found that: (1) Compared with centralised decision-making, the optimal drug quality and service level in decentralised decision-making and the optimal profits of drug manufacturers and medical institutions will decrease. However, the optimal drug sales price in decentralised decision-making always deviates from that in centralised decision-making, leading to higher or lower drug sales prices. (2) The incorporation of value-based healthcare objectives in the pharmaceutical group purchasing through cost-sharing contracts depends on changes in the proportion of drug quality costs borne by medical institutions. If the proportion is too high, medical institutions will suffer greater losses because they bear too much of the cost. (3) Under certain conditions, cost-sharing contracts can improve supply chain efficiency but cannot achieve supply chain coordination, while the combination of “cost-sharing-quantity-discount” contracts can achieve supply chain coordination in pharmaceutical group purchasing.

Research on Optimal Group-Purchase Threshold and Pricing Strategy of Community Group Purchase

This study delves into the rapidly evolving community group-buying model, specifically focusing on the determination of optimal group-buying thresholds and pricing strategies for merchants. Aiming to bridge the gap in the existing literature, the methodology employs optimization models, integrating a numerical analysis to construct and evaluate a single merchant model. The findings reveal a nuanced relationship: within a specific threshold interval, a unique group-purchase threshold exists where merchants can maximize profits by balancing group and ordinary sales. The study shows that factors like ordinary selling price, group-buying publicity, and associated costs significantly influence these thresholds and pricing strategies. A critical insight is the threshold’s variability in response to market conditions, highlighting a strategic balance for maximizing profitability. The research underscores the need for merchants to adapt their strategies in response to evolving market dynamics and consumer behaviors. However, the study acknowledges its limitations due to its theoretical nature and focus on the Chinese market, suggesting the potential for future empirical studies in diverse cultural and economic contexts. Overall, this research contributes both theoretically and practically by providing a foundational framework for merchants to optimize group-purchase thresholds and pricing strategies in the dynamic realm of community group buying.

Digital Economy Enables Community Group-buying Fresh Agricultural Products Supply Chain Management Optimization

In the context of China's digital economy promoting social development, this paper based on the characteristics of fresh agricultural products perishable, difficult to preserve and easy to wear, with the help of digital economy enabling model, explores the practical problems of community group purchase of fresh agricultural products, and analyzes its supply chain management. The analysis results show that the optimization of supply chain management depends on the digital economy, which can effectively do a good job in factor allocation, model innovation and information transmission, and achieve win-win benefits of multiple entities by improving product quality control, forming core competitiveness, balancing supply and demand and controlling costs, and meeting the diversity requirements of consumers. This study can explain the potential problems of the current agricultural product supply chain to a certain extent, and also provide a reference for the digital economy enabling community group-buying fresh agricultural product supply chain management optimization.

Optimization of Open Distribution Path for Rural Fresh Food under Genetic Algorithm

In recent years, as the market scale of China's cold chain logistics continues to expand, the use of fresh food e-commerce platforms such as Temu, Taocaicai, and Meituan Grocery has become more and more popular in rural areas. In order to reduce the cost of rural fresh logistics, this paper introduces the fresh electricity supplier "community group purchase" distribution mode, starting from improving the distribution efficiency of rural fresh logistics, and comprehensively considering the commodity demand of rural users, the freshness of fresh goods delivered to users, open route planning distribution vehicles and other factors. A capacity-constrained open vehicle routing optimization model with the goal of minimizing the total distribution cost was constructed and solved by genetic algorithm. This paper proves that the open vehicle distribution can improve the efficiency of logistics distribution more effectively, reduce the total cost of logistics distribution, and promote the development of rural fresh food market.

Effects of in-store marketing on food and beverage purchases: a longitudinal study of households with children.

Most food retailers display foods in prominent locations as a marketing strategy (i.e. 'placement promotions'). We examined the extent to which households with children change their food and beverage purchases in response to these promotions. We analysed a novel dataset of all products promoted in two supermarkets from 2016 to 2017, including promotion dates and locations (e.g. aisle endcaps and front registers). We linked promotions to all purchases from the supermarkets from 2016 to 2017 by a cohort of households with children. We calculated the number of weekly promotions in each of thirteen food and beverage groups (e.g. bread; candy) and used fixed effects regressions to estimate associations between number of weekly promotions and households' weekly food purchases, overall and by Supplemental Nutrition Assistance Program (SNAP) participation. Two large supermarkets in Maine, USA. Eight hundred and twenty-one households with children. Most promotions (74 %) were for less healthy foods. The most promoted food groups were sweet and salty snacks (mean = 131·0 promotions/week), baked goods (mean = 68·2) and sugar-sweetened beverages (mean = 41·6). Households generally did not change their food group purchases during weeks when they were exposed to more promotions for those groups, except that a 1-sd increase in endcap candy promotions (about 1 promotion/week) was associated with $0·19/week (about 14·5 %) increase in candy purchases among SNAP nonparticipants (adjusted P < 0·001). In-store placement promotions for food groups were generally not associated with purchases of promoted food groups, perhaps because exposure to unhealthy food marketing was consistently high. Substantial changes to in-store food marketing may be needed to promote healthier purchases.

Development of intermodal transport by organizing group purchasing of transports

The purpose of the article is to recognize the contexts of intermodal transport development in Poland, with particular recognition of the factor of group purchases of this service. The aim of the research is to find out the opinions of the participants of the logistics-transportation processes on the opportunities and threats to the development of intermodal transport, and to seek opinions on the introduction of a new entity responsible for group purchasing to the market. The article is divided into four chapters. The first chapter discusses legal and financial factors supporting the development of intermodal transport in the European Union. Examples are given of countries that have made the most of this support and have good practices of their own for activating this multi-branch form of transportation. The second chapter, using secondary data, presents the dynamics of intermodal transport development in Poland. The third chapter presents the methodology of own research. Collecting and processing primary data, threats and opportunities for the development of the multi-branch form of transport in Poland were identified, and the results are presented in the four chapter. The results of own research clearly indicate the need to eliminate barriers to the development of multimodal transport in Poland (including by appointing bodies organizing transport purchases).

Research on the Development of New Media from the Economic Perspective

With the popularity of some apps, such as Tik Tok, Little Red Book and Taobao, people are easily swayed by their marketing methods, such as the launch of the Double 11 shopping festival, Tik Tok group purchases, and other preferential policies, which have attracted more consumers and changed people's consumption habits to a certain extent. In the days when e-commerce was not popular, most people would go to shopping malls to do their shopping, but through my surveys in shopping malls, this paper found that fewer people were going to shopping malls, especially to buy clothes. The new media has changed the way people consume, but it has also taken a big toll on the traditional economy. This paper also mentioned some development strategies and the competition between new media and traditional media. We need to continue to improve the technology of new media to promote better economic development and better understanding of public psychology, and we also need to pay attention to the traditional economy to make it more even.

Research on Marketing Promotion of Local Group Purchase Products in TikTok

With the rapid development of China's economy and Internet technology and the continu-ous progress of the human consumption concept, the local life group purchase application on the Internet is becoming more and more popular. Many leading enterprises in the Inter-net industry have gradually arranged local life group purchase businesses to promote con-sumers' consumption. This paper takes TikTok's local life group purchase business as the research object and analyzes the marketing strategy of TikTok local life group purchase.

The Improvement of Community Group Purchasing System Through Data Technology and Data Integration Final paper of Business Analytic in Action

In this paper, our research mainly discussed the new business model emerging in China, the Community Group Purchasing (CGP) system. We researched the CGP system's upsurge and critical characteristics, seeking its advantages and weaknesses. The main objective of this research is to derive ideal methods to improve the efficiency of the Community Group Purchases industry. This study referred to CGP industry reports, secondary survey outcomes, and academic research papers. Our research used model, data, and geographical conditions analysis to achieve our goal. Our research put forward an innovative CGP logistics model, which involves the new business model of cooperation with local stores and supermarkets, data integration to aggregate goods information and enhance the overall goods mobility, and data technology to plan the most suitable delivery route and to predict the future demand and make better plans. Although this innovative model is somewhat difficult to be implemented, this model can be applied to different kinds of cities and increase the overall efficiency of CGP mode. It is a significant step toward improving the Community Group Purchase industry.