E-grocery challenges and remedies: Global market leaders perspective

Mkansi, Marcia; Eresia-Eke, Chukuakadibia E.; Emmanuel-Ebikake, Oyetola

doi:10.1080/23311975.2018.1459338

Cited by 30 publications

(54 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kolesar and Galbraith [12] contend that e-retail encompasses three main activities: (1) a product search activity that provides detailed information on the products under evaluation, which is usually referred to as a product-evaluation or information-gathering (IG) facility; (2) an online purchase function that facilitates consumer interaction by reducing the transaction costs; and (3) a product delivery capability that facilitates the final product's distribution to consumers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Humans need to eat in order to survive, so eating is an essential activity that is carried out several times per day [1]. Thus, it is not strange that research on e-grocery has recently received more attention in many disciplines [2,3]. E-grocery is now gaining momentum because it promises relative convenience to the customer, given that customers can obtain the groceries they need from the comfort of their homes or offices and at a convenient time.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the aim of this paper is threefold: (1) to identify the evolution of e-grocery/e-retailing research with a leading focus on authors, institutions and geographical areas; (2) to determine the main studied topics by applying the Latent Dirichlet Allocation (LDA) method [9,10]; and (3) to analyse the main methods used in the field to extract important insights into those papers that use choice modelling and to suggest a future research agenda.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Research Topics on E-Grocery: Trends and Existing Gaps

2019

View full text Add to dashboard Cite

The aim of this paper is to analyse through a systematic literature review the main topics studied on a relatively new concept: e-grocery. This study examines the existing literature through the use of some interactive Scopus applications with the goal to provide: (1) a better understanding of the main topics that have been analysed up to now; (2) the principal methodologies that have been used; and (3) the challenges that still exist as well as literature gaps. First, we provide a summary of what has been previously researched in the field, analysing the trends regarding time, sources, authors, countries and document types. Then, tokenization, and a natural language process (NLP) that applies the Latent Dirichlet Allocation (LDA) method, is used to extract the main topics in the field. We obtain that the research topics in the discipline have always been linked with technological changes, innovation and diffusion, and environmental effects have been a cornerstone since the origin of the field. In comparison with other fields in transport economics, we notice that experimental design and choice modelling are not very popular. As a step towards future research, we propose an integrative framework for e-grocery consumer behaviour that starts from the Engel–Kollat–Blackwell (EKB) model.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Research Topics on E-Grocery: Trends and Existing Gaps

2019

View full text Add to dashboard Cite

show abstract

“…Similar to global market developments (cf. Mkansi et al, 2018), the South African e-grocery market is not dominated by the traditional top grocery retailers but rather by the new online grocery retailers. The challenges for these e-grocery retailers are considerable, especially considering the contextual differences (i.e.…”

Section: Appendix 1 Grocery Retail In South Africamentioning

confidence: 99%

Mobile application supported urban-township e-grocery distribution

Mkansi¹,

Leeuw²,

Amosun³

2019

IJPDLM

Self Cite

View full text Add to dashboard Cite

Purpose The purpose of this paper is to present a mobile application supported townshipand urban e-grocery distribution models that uses a software application (app) to bridge the infrastructural barriers, costs and complexities associated with e-grocery delivery operations in rural township areas. Design/methodology/approach Using a qualitative multi-case approach and semi-structured interviews, the study explored distribution practices of eight national emerging e-grocery retail businesses to demonstrate how mobile applications can facilitate South African urban and township e-grocery delivery models. Findings The study reveals how the need to scale the use of new mobile application innovations fuels value-added services that power new e-grocery distribution models. Of interest is how the application aggregates demand rapidly, respond to demand within a short lead time and how e-grocers use competitors’ stores as their fulfilment centres. The use of apps reveals a slow transformation of society towards an inclusive model that integrates different types of workers in an informal context. Practical implications The mobile application value-added service business model offers a new wave of scaling e-grocery retail to rural and township areas constrained by technological, economic and road infrastructure. The apps transcend e-grocery barriers and enables small businesses with limited resources to leverage e-grocery market opportunities that are unimaginable in townships and rural areas. Originality/value The innovative mobile platform-base model offers emerging contextual insight of a pull e-grocery distribution model that demonstrates the supply chain innovations for addressing under-resource and under-developed logistics infrastructure.

show abstract

“…Due to the scarcity of available customer-related data, this work uses a publicly available electricity consumption trace data set, named CER ISSDA, to simulate and demonstrate the use of estimating occupancy patterns of private households for estimating absence probabilities. The CER ISSDA data set is collected by the CER in a smart meter study [1]: it contains electricity consumption data of 4,225 private households and 485 small and medium enterprises (all called customer hereafter); the trace covers 1.5 years ( from July 2009 to December 2010). For each customer, the daily load curve is sampled every 30 minutes: energy data can be thought of as a series of timestamps and energy readings.…”

Section: Application Examplementioning

confidence: 99%

Using customer-related data to enhance e-grocery home delivery

Pan

Giannikas

Han

et al. 2017

IMDS

111

View full text Add to dashboard Cite

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Purpose -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. Design/methodology/approach -The methodological approach consists of two stages: a data mining stage that estimates absence probabilities, and an optimization stage to optimize transportation. Findings -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.Research limitations/implications -The proposed approach combines two attractive research streams on data mining and transportation planning to provide a solution for e-commerce logistics. Practical implications -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. Social implications -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. Originality/value -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. The current issue and full text archive of this journal is available on Emerald Insight at: www.emeraldinsight.com/0263-5577.htm IntroductionRecent developments of e-commerce have had a significant impact on food supply chains. Today, many traditional grocery retailers offer their customers the opportunity to purchase food items online and have them deliv...

show abstract

E-grocery challenges and remedies: Global market leaders perspective

Cited by 30 publications

References 51 publications

The Research Topics on E-Grocery: Trends and Existing Gaps

The Research Topics on E-Grocery: Trends and Existing Gaps

Mobile application supported urban-township e-grocery distribution

Using customer-related data to enhance e-grocery home delivery

Contact Info

Product

Resources

About