Search results

Last mile distribution is a crucial element of any supply chain network, and its complexity has challenged established practices and frameworks in the management literature. This is particularly evident when demand surges, as with recent lockdowns due to the COVID-19 pandemic and subsequent demand for home delivery services. Given the importance of this critical component, this study recommends horizontal collaboration as a possible solution for retailers seeking to improve the quality of their services.

This study investigates whether horizontal collaboration should be considered as an option for faster and greener distribution of groceries ordered online. Using the United Kingdom and Greek grocery markets that differ in terms of online grocery penetration, distribution network structure and delivery times, the study discusses how the effectiveness of pooling resources can create positive spillover effects for consumers, businesses and society.

Despite their differences, both markets indicate the need for horizontal collaboration in the highly topical issue of last mile delivery.

Taking a theoretical and practical view in cases of disruption and constant pressure in last mile distribution, horizontal collaboration supports retailers to coordinate routes, increase fleet and vehicle utilisation, reduce traffic and carbon emissions while improving customer satisfaction.

Consumers worldwide are increasingly ordering groceries from grocery delivery platforms (GDPs). This study aimed to explore the role of brick-and-mortar (B&M) retailers and GDPs in online grocery shopping (OGS) experience, attitude and continuous purchase intention under the platform model of online grocery retailing.

This study used a mixed method approach. A qualitative analysis was conducted based on 30 in-depth interviews and relevant literature to identify key attributes of the OGS experience. Then, data from 352 online grocery shoppers was used to examine the associations between service attributes, attitude and continuous purchase intention using a structural equation model.

The authors identified six key attributes of the OGS experience related to B&M retailers and GDPs. The quantitative study results showed that customer service, price value and instant delivery significantly impact attitude towards GDPs, while product quality, product assortment, customer service, price value and attitude toward GDPs positively impact online attitude toward B&M retailers. Online attitude toward B&M retailers significantly influences continuous purchase intention.

B&M retailers and GDPs should strengthen cooperation and joint oversight.

This study identified key attributes of the OGS experience associated with B&M retailers and GDPs under the platform model, giving a comprehensive understanding of the relationship between the OGS experience and behavioural intention when B&M retailers collaborate with GDPs.

BigBasket.com, an online supermarket established in December 2011 in Bangalore, India, had become one of the major players in the Indian online grocery market by the end of March 2016.₁ Run by Innovative Retail Concepts Private Limited, BigBasket.com was operating in more than 23 cities across the country in 2016. The online grocery market in India was in a stage of growth and transformation, fuelled by India's large urban population who sought a lifestyle of convenience and ease. It had also attracted many entrepreneurs who competed fiercely with each other in a market characterised by thin margins. Intense competition ensured that only a few companies were able to survive and sustain themselves. One of these companies was Big Basket, which succeeded in spite of the competition, attracting Series D_a funding worth USD 150_b million from the United Arab Emirates-based Abraaj Group in March 2016.₂

The purpose of this paper is to understand the beliefs of local grocery retailers about online grocery retailing. Using the theory of planned behavior (TPB), the study explores the outcome, normative and control beliefs held by the local grocers about online grocery retailing which would eventually translate into behavior. Factors influencing local grocers intention to participate or refusing to participate in the online grocery retailing was investigated.

In total, 20 in-depth interviews with local grocery retailers were conducted ranging from small to large sized retail stores from a city in the western part of India. The sample included two groups of local grocers – first, grocers who partnered with online retailers as suppliers. This group included those retailers who had partnered but discontinued later and second, grocers who had not partnered with online retailers. In-depth interviews with the local grocery retailers were conducted using TPB as a basis to uncover local grocers’ beliefs toward online grocery retailing and predict their behavior.

The outcome beliefs were classified into five broad heads – business expansion; gaining visibility and reputation; customer expectations; inventory management; and margins, costs and technical issues. The normative belief was that the actions and response to online grocery retailing would be governed by their referent group – the consumers. The main control belief was that partnering with online grocery retailing would result in loss of control regarding their business operations.

The results indicated that in a country like India especially in small to medium size towns, online grocery retailers would have to think of creative ways to involve the local grocery retailers to grow their business. The local grocers due to their size were able to adapt to the requirements of their referent consumers without any additional cost. They were unlikely to give up control regarding how they run their business. The main limitation of this study was the exploratory nature of this study which makes it difficult to prioritize the importance given to each belief. The study sample was restricted to one city in India, and future studies could include other cities.

The findings have practical implications for online grocery retailers who wish to expand into emerging markets like India. It provides understanding about the local grocery retailers who were the major competitors of online grocery retailers. It provides direction to integrate and partner with the local grocers and utilize them for mutual benefits.

Given the absence of academic literature in the public domain, this study provides a platform for future studies in this area. This paper is a systematic attempt to uncover the underlying beliefs of local grocery retailers who were the key players in the grocery retailing business.

Marketing plan; virtual shopping; consumer behavior.

Undergraduate.

This case discusses the e-commerce plan of new online grocery company in Mexico, MexGro, which is planning to emerge as low-cost outlet as compared to the brick-and-mortar establishments in the market. MexGro is an online grocer with a round-the-clock call center to process phone-based orders and to provide customer support. The grocery online company is aimed at setting up a virtual grocery shop by the name of MexGro S.A de C.V to serve cross-cultural products to the Hispanic and Asian communities in Mexico. The MexGro, being a virtual shop, need not pay for checkout clerks; display cases, or parking lots, online grocers can drop prices below those of retail stores and remain profitable. This case explores online consumer-shopping behavior, the economics of online and offline grocery distribution, and the challenges of uniting a pure information business with a mundane package delivery service.

This case may be discussed towards learning developing effective online marketing planning strategy for the niche markets. The specific learning objectives of the case are: to analyze the virtual marketing planning constituents for developing customer-centric marketing within a niche and explore the possibilities of sustainable business growth to encourage strategic thinking towards developing online marketing plan and develop effective communications among the consumers and to address the critical online planning issues, such as what are the prospects for grocery shopping on the internet. The case allows students to grapple with the strategic and tactical decisions on planning for the online marketing companies. Students will also become familiar with key questions/issues raised by the various executives of the company in formulating the online marketing plan for ethnic grocery in a niche business environment: the case challenges students to think about how online grocer creates the most value for customers and how grocer will likely be able to overcome the competition from the brick-and-mortar grocers. Should Wal-Mart be aggressive in launching its grocery brand? The case raises issues to debate on how the organizational and system decisions are faced by managers in developing a virtual shopping culture in Mexico as the company has the goal to move among more efficient competitors in the supermarket industry, and How the online marketing plan can be implemented within a niche. This case study would take students through the rise of a private brand to the strategies of its sustainability in the competitive marketplace. This case illustrates the importance of using new variables in developing an effective marketing plan when companies reinforce their products in the niche markets. The discussion in the case allows students an opportunity to evaluate online marketing planning and their brands in a niche as well as in a competitive marketplace.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

This study aims to assess factors influencing customers’ online grocery shopping experiences, and it evaluates the central role of customer service and consumers’ responses to satisfying grocery shopping.

A mixed-methods approach was used; linguistic inquiry and the word count (LIWC) method captured qualitative aspects of consumers’ grocery shopping experience, whereas partial least square-structure equation modeling tested hypotheses regarding antecedents to consumers’ overall online grocery shopping experience.

The PLS-based analysis confirmed the qualitative insights, establishing the significance of customer service, which accounted for 68% variance in the overall experience and 42% variance in customer satisfaction, along with other experience antecedents such as website, product and delivery.

Future researchers could further analyze experience as a dynamic process focusing on consumer and retailer brand-focused constructs, specifically focusing on creating a holistic understanding of customer service that establishes coherence between retailers’ marketing values and their customer service.

Managers should acknowledge the importance of customer service in creating a satisfying customer experience, and they should respond to consumer concerns, resulting in enhanced brand-related experience.

Responding to the call for a better understanding of customer service, this study brings out the challenges online grocery shoppers are facing in terms of customer service and empirically establishes customer service as a key driver of customer experience, thereby extending the earlier work on customer service and online customer experience.

The development of e-grocery allows people to purchase food online and benefit from home delivery service. Nevertheless, a high rate of failed deliveries due to the customer’s absence causes significant loss of logistics efficiency, especially for perishable food. The purpose of this paper is to propose an innovative approach to use customer-related data to optimize e-grocery home delivery. The approach estimates the absence probability of a customer by mining electricity consumption data, in order to improve the success rate of delivery and optimize transportation.

The methodological approach consists of two stages: a data mining stage that estimates absence probabilities, and an optimization stage to optimize transportation.

Computational experiments reveal that the proposed approach could reduce the total travel distance by 3-20 percent, and theoretically increase the success rate of first-round delivery approximately by18-26 percent.

The proposed approach combines two attractive research streams on data mining and transportation planning to provide a solution for e-commerce logistics.

This study gives an insight to e-grocery retailers and carriers on how to use customer-related data to improve home delivery effectiveness and efficiency.

The proposed approach can be used to reduce environmental footprint generated by freight distribution in a city, and to improve customers’ experience on online shopping.

Being an experimental study, this work demonstrates the effectiveness of data-driven innovative solutions to e-grocery home delivery problem. The paper also provides a methodological approach to this line of research.

Considers reasons for failure among pure play Internet grocery retailers. Notes that two factors seem to be significant. First, they did not achieve anything like a competitive advantage over the traditional “bricks and mortar” food retailers on those dimensions that drive the consumer store/channel choice process. Second, they did not develop a business model that reaches profitability, perhaps ever. They apparently did not foresee that total operating costs per customer were substantially higher for Internet grocery retailing than for “bricks and mortar” grocery stores, and that this new channel would have to charge consumers substantially more to reach breakeven operating levels. In fact, many pure play Internet grocers tried to price competitively against traditional food retailers and as a result, did not even cover variable costs. Hence, the more they sold, the more they lost. Eventually, they ran out of cash and were unable to raise additional monies in the market. Finally, there is some evidence that Internet grocers dramatically overestimated the size of the market for grocery shopping from the home. In the final analysis, pure play Internet grocer retailers appeared sexy and were hot for a short period of time because of the romance of the Internet. In fact, they were nothing more than fancy grocery delivery companies – which have never made money in the mass market and probably never will.

The objective is to determine if consumer preferences for grocery purchasing are impacted by the severity of the COVID-19 pandemic and whether these preferences differ by demographic and psychographic characteristics.

The authors conduct an online discrete choice experiment (DCE) with 900 U.S. consumers to assess grocery shopping preferences under various scenarios of the COVID-19 pandemic (i.e. decreasing, constant and increasing cases). The attribute of interest is the purchasing method (i.e. in-store purchase, in-store pickup, curbside pickup and home delivery) with minimum order requirements, time windows and fees as secondary attributes. Heterogeneity in individual-level willingness-to-pay (WTP) estimates for the main attribute is analyzed by means of mixed logit and quantile regression techniques.

The mixed logit model reveals heterogeneity in WTP estimates for grocery purchasing methods across participants. According to estimates from quantile regressions, the heterogeneity is partly explained by the severity of the COVID-19 pandemic. For example, the home delivery purchasing method is less preferred when the number of cases is decreasing. The results also show that consumer preferences for grocery shopping methods are affected more by psychographic characteristics than demographic characteristics. Consumers who comply with COVID-19 directives (e.g. wear face coverings) have stronger preferences for curbside pickup and home delivery, particularly at the tails of the WTP distributions.

Although there is much data on food consumer behavior during the COVID-19 pandemic at the aggregate level, there are few analyses of grocery shopping preferences at the individual level. The study represents a first attempt to relate individuals' demographic and psychographic characteristics to their grocery shopping preferences during the COVID-19 pandemic, thus yielding numerous recommendations in terms of consumer segmentation.

By analyzing and discussing the case, students should be able to identify macro environmental factors that impact business decision-making; apply Michael Porter’s five forces framework; evaluate sources of synergy; understand the concept of disruptive innovation; choose sources of competitive advantage; apply the value proposition canvas; and apply tenets of Blue Ocean strategy.

The grocery retail market in India accounts for nearly 70% ($608bn) of the total retail market ($883bn). The brick-and-mortar multi-tiered distribution network for groceries encompasses a million wholesalers and distributors and 12 million retail outlets. These retail outlets serve as customer touch points where bulk of grocery shopping is done. The online grocery industry is a miniscule $5.5bn. High incomes, change in purchase behaviour, inclination towards speed and convenience on the demand side and alacrity on the supply side have paved the way for new format, quick commerce. Trends and forecasts suggest that quick commerce, a high cash burn business, will grow exponentially. Zomato has jumped onto the quick commerce bandwagon with the acquisition of loss-making Blinkit. The case analyses the quick commerce industry through the lens of Michael Porter’s five forces framework and the Blue Ocean strategy. It elaborates the profitability drivers of the industry and also examines the sources of synergy from the acquisition.

This case is suitable for a class on strategy in postgraduate-level courses. It can be used in a session on entrepreneurship and innovation.

Teaching notes are available for educators only.

CSS 11: Strategy.