ABSTRACT
E-commerce is always a more diffused sales channel around the whole world market. The grocery market has been interested in the expansion of this phenomenon, especially during the COVID-19 pandemic emergency, when electronic grocery (e-grocery) shopping increased considerably. Moreover, it has remained a diffused selling channel also later, in the non-emergency state. To satisfy this specific market demand, grocery chains are facing the need for a redesign with a new logistic perspective. A grocer can carry out online orders in several ways;it can process them directly in stores using internal staff to shop from the shelves during off-peak hours. Alternatively, some local stores can be closed to customers and dedicated to online orders (dark stores). Another strategy is to carry out online orders from a single distribution centre (e-hub), using stores to complete orders with very fresh products and from which to carry out deliveries. Finally, online orders can be wholly managed by multi e-hubs. Each solution has different logistics costs and performances, influenced by online demand. For this reason, this work aims to present a cost-based function for grocery chains that compares four strategies to respond to e-grocery shopping. The cost function considers picking, refilling, and transport costs by varying orders and articles quantity. Further, we aim to minimise costs according to online order characteristics and volumes. We identify five decision variables to select the most suitable strategy for the design of the e-grocery network. Finally, a decision support system (DSS) is developed to define the best strategy based on the decision variables.
ABSTRACT
This study investigates the antecedents of the intention to switch to e-grocery shopping during the COVID-19 pandemic, which is critical in recommending that e-grocery shopping service providers improve their competitiveness by responding to customer expectations. This study proposes a push–pull–mooring framework to describe the influence of dissatisfaction on the physical market, the attractiveness of e-grocery, and switching costs as factors that drive switching intentions. This study surveyed 252 Indonesians aware of the existence of an e-grocery mobile application, and applied structural equation modeling as an analytical method to explain causal relationships between variables thought to influence switching intentions to e-grocery shopping. The results showed that the attractiveness of e-grocery had a significant effect on switching intention. Likewise, switching costs ultimately drive customer intention to switch to e-grocery shopping. However, dissatisfaction is not a driving factor directly affecting switching costs and intentions. Finally, e-grocery services cannot replace the local tradition of Indonesian people who prefer to shop for groceries in physical markets. Nevertheless, these findings provide theoretical and practical contributions to retail grocery businesses that have integrated conventional and digital services as a future strategy that drives business sustainability. © 2023 by the authors.
ABSTRACT
Grocery purchases via e-commerce channels have risen substantially within a few months as a consequence of the COVID pandemic's influence on consumer behavior. Traditional commerce has been transformed by the internet, benefiting both businesses and buyers. A rise in the number of people using the internet and their smartphones has been a major driver for expansion in the e-commerce sector. To accurately gauge the future of online grocery shopping, it is important to have a firm grasp on the factors that have contributed to its rise in popularity. This case study attempts to investigate and asses consumers adoption of e-grocery platforms by using the Unified Theory of Acceptance and Use of Technology model (UTAUT) and is distinctive in that it incorporates a situational factor-COVID and a customer centricity component into the UTAUT 2 model in order to determine the drivers of users' behavioral intention toward e-grocery purchase in India. © Association for Information Technology Trust 2023.
ABSTRACT
Research on grocery shopping channel preferences has been growing in the wake of the Covid-19 pandemic. However, few studies have utilized the discrete choice experiment (DCE) to elicit choices in hypothetical scenarios. Moreover, attitudinal factors, which may better explain preference heterogeneity, are rarely considered. Given that the evolution of shopping behavior in the context of the Covid-19 pandemic has huge implications for transportation planning and modeling, this study aims to examine consumers' grocery shopping channel preferences through a DCE that was constructed with three grocery shopping channels (home delivery, curbside pickup, and in-store) and five time–cost attributes (product price, shopping time, delivery time, delivery cost, and travel time). 8,603 responses were elicited from 1,229 Florida residents between February and April 2021. Information on various aspects of respondents' shopping attitudes as well as their socio-demographic and household attributes, grocery shopping activities, and distance to the grocery store were also collected. Using mixed logit modeling for analyses, results indicate that individuals with low education, in low- to middle-income earning households, with three or more household vehicles, and having full access to a vehicle tended to prefer in-store shopping. Also, perceived security risk, pro-alternative mobility options, pro-local store shopping, and shorter distances to grocery stores predisposed individuals toward in-store shopping. Alternatively, females, young and middle-aged individuals, workers, and individuals in large households tended to prefer home delivery and curbside pickup. Technology savviness, pro-environment, pro-online shopping, and shopping enjoyment were also drivers of home delivery and curbside pickup purchases, while cost and time consciousness did not show significant effects. Overall, the findings in this study have implications for retailers, transportation planners, and policymakers. © 2023 Tongji University and Tongji University Press
ABSTRACT
Over the last decades, e-grocery has spread less quickly than other retail e-channels due to technical (logistics, cold chain management) and commercial reasons (little acceptance by consumers) thus remaining a niche phenomenon. The Covid19 pandemic has given a boost to the development of e-grocery as many brick-and-mortar supermarkets chains have deployed specific industrial projects to provide omnichannel grocery shopping solutions. Rather than focusing on an online strategy only, brick-and-mortar companies have indeed adopted strategies such as the click and collect delivery models. While the technological, organisational and business dimensions of such solutions have been widely explored, there are still few studies exploring the acceptance of these specific solutions by customers as the new normal grocery shopping. This study aims at investigating the acceptance and intention to use of these solutions by the customers of a prominent supermarket chain in Italy. The Unified Theory of Acceptance and Use of Technology was adopted for the study. An online purchase frequency moderator was added to the model to check whether there are differences among retail and grocery purchases. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
Over the last decades, e-grocery has spread less quickly than other retail e-channels due to technical (logistics, cold chain management) and commercial reasons (little acceptance by consumers) thus remaining a niche phenomenon. The Covid19 pandemic has given a boost to the development of e-grocery as many brick-and-mortar supermarkets chains have deployed specific industrial projects to provide omnichannel grocery shopping solutions. Rather than focusing on an online strategy only, brick-and-mortar companies have indeed adopted strategies such as the click and collect delivery models. While the technological, organisational and business dimensions of such solutions have been widely explored, there are still few studies exploring the acceptance of these specific solutions by customers as the new normal grocery shopping. This study aims at investigating the acceptance and intention to use of these solutions by the customers of a prominent supermarket chain in Italy. The Unified Theory of Acceptance and Use of Technology was adopted for the study. An online purchase frequency moderator was added to the model to check whether there are differences among retail and grocery purchases.
ABSTRACT
The purpose of this study is to determine the factors that influence the intention to adopt e-grocery shopping service of Vietnamese consumers during Covid-19 Pandemic. The sample size includes 235 responses collected from e-grocery shoppers in Vietnam. The research methodology includes Cronbach's Alpha analysis, EFA analysis and multiple regression analysis. Data is analysed in SPSS 20 software. The results have identified four factors that directly affect the intention to adopt e-grocery shopping service which are social influence, perceived ease of use, brand image and perceived usefulness. Social influence is the most significant factor that impacting the intention to adopt e-grocery shopping service among consumers during Covid-19 Pandemic in Vietnam. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
To understand how COVID-19 changed grocery shopping and explore implications for transportation and environmental justice, we surveyed in May 2021 California members of KnowledgePanel®, the largest and oldest U.S. probability-based panel. We asked how frequently Californians grocery shopped before and during the pandemic, and how they may grocery shop afterward in-store, online with home delivery (“e-grocery”), or online with store/curbside pick-up (“click-and-pick”). We found that most Californians continued to grocery shop in-person during the pandemic, although less frequently than before. Many relied more on e-grocery (+8.9 %) and click-and-pick (+13.3 %), although older generations remained attached to in-store shopping. African American households grocery shopped in-store less than Whites pre-pandemic;post-pandemic, they may compensate with more e-grocery and click-and-pick. While higher levels of environmental injustice (based on CalEnviroScreen) were associated with less in-store shopping, we found no association with e-grocery or click-and-pick. Our results have implications for travel, food logistics, and parking management.
ABSTRACT
E-grocery is fast growing worldwide and represents a relevant issue for city logistics. Although in almost all countries the percentage of food e-buyers was lower than those purchasing other commodity categories, due to the pandemic, they have increased significantly in the last two years, with consequences that are difficult to fathom and estimate. This phenomenon therefore deserves more attention, especially with respect to its environmental impact, mostly at the urban scale. This paper presents a systematic literature review (SLR) on how e-grocery impacts the environment through the CO2 emissions generated and the equivalent energy consumption. The methodology used for the review follows a standard approach, with different combinations of keywords used for the search performed in SCOPUS and the Web of Science databases. Emissions and energy consumption assessments were performed for all of the papers considered. The results point to two different findings: some studies consider online grocery as an environmentally friendly channel, while others note that the energy consumption of this emerging channel is higher than alternative ones. This paper contributes by suggesting future research directions to be explored on the relationship between e-grocery and energy use and provides some reflections that are useful not only to e-grocers and logistics operators, but also to policy makers with an interest in developing sustainable urban plans and promoting less environmentally impacting distributions/configurations of grocery delivery systems within city logistics.
ABSTRACT
Web commerce buying offers considerably improved within Malaysia, specifically throughout the Covid-19 outbreak. Previous correctly exposed a number of determinants associated with purpose to buy e-groceries. Besides sporadic outcomes, there exists a scarcity regarding research that will empirically examined the particular objective to buy e-groceries simply by operating moms. This particular research targeted to check into the particular predictors involving food shopping purpose amongst functioning moms inside Kuala Lumpur through the Covid-19 atmosphere. This specific quantitative has been completed figure out typically the effect associated with recognized dangers, identified item cost, recognized merchandise high quality, shipping period, plus shipping and delivery expenses in the direction of e-grocery purchasing purpose. The particular study had been carried out, plus information were gathered through one hundred participants. The particular results uncovered that this identified product or service cost was probably the most crucial determinant regarding goal to buy e-groceries on the internet. Another impartial factors don't have a substantial partnership along with e-grocery searching purpose between doing work moms throughout Kuala Lumpur. The outcomes offered extra information along with a higher knowledge of the particular determinants involving intent to buy e-groceries by simply operating moms in order to e-retailers in addition to entrepreneurs associated with e-groceries. This kind of research shows that will recognized item cost is recognized as the main element with regard to motive to buy. Even though earlier studies have looked into this particular trend, this specific research was your 1st to mix the particular effect associated with recognized dangers, recognized item cost, identified item high quality, distribution period, and even shipping expenses in the direction of e-grocery buying purpose simply by functioning parents.
ABSTRACT
Purpose>This paper identifies, configures and analyses a solution aimed at increasing the efficiency of in-store picking for e-grocers and combining the traditional store-based option with a warehouse-based logic (creating a back area dedicated to the most required online items).Design/methodology/approach>The adopted methodology is a multi-method approach combining analytical modelling and interviews with practitioners. Interviews were performed with managers, whose collaboration allowed the development and application of an empirically-grounded model, aimed to estimate the performances of the proposed picking solution in its different configurations. Various scenarios are modelled and different policies are evaluated.Findings>The proposed solution entails time benefits compared to traditional store-based picking for three main reasons: lower travel time (due to the absence of offline customers), lower retrieval time (tied to the more efficient product allocation in the back) and lower time to manage stock-outs (since there are no missing items in the back). Considering the batching policies, order picking is always outperformed by batch and zone picking, as they allow for the reduction of the average travelled distance per order. Conversely, zone picking is more efficient than batch picking when demand volumes are high.Originality/value>From an academic perspective, this work proposes a picking solution that combines the store-based and warehouse-based logics (traditionally seen as opposite/alternative choices). From a managerial perspective, it may support the definition of the picking process for traditional grocers that are offering – or aim to offer – e-commerce services to their customers.
ABSTRACT
The COVID-19 pandemic has led to a sharp increase in online trade. This article examines the impact of the pandemic on online grocery retail in Germany. Here we follow and refine the multi-level perspective by Geels, and examine to what extent and why the online grocery retail expanded during the pandemic. A particular focus is on the spatial expansion into rural areas. The study shows a general upswing in the grocery trade and disproportionately high growth in online grocery trade and identifies driving and limiting factors. While COVID-19 has opened a window of opportunity, our results indicate little transition of grocery to e-grocery. This finding can be explained by the sudden and temporary constellation at the level of the socio-technical regime during the pandemic. As a result, we argue for a rethinking the temporality of windows of opportunities and the related vulnerability of the innovations which need them.