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In 2012 several retailers, including Amazon and Walmart, experimented with same-day delivery. Home delivery of pizzas had been a very successful model in the United States and had been copied all over the world. In contrast, home delivery attempts by companies like Kozmo and Urbanfetch had failed and both companies went bankrupt. The goal of this case is to build a framework that helps students identify the factors that influence the success or failure of home delivery models.

After analyzing and discussing the case, students should be able to:

• Build a basic framework identifying supply chain drivers that are influenced by a firm's decision to offer same-day home delivery

• Understand the tradeoffs that influence the success of a same-day home delivery model

• Identify qualitative factors to be considered when deciding between non-U.S. facility locations, including transportation time variability, consumer perceptions, and cultural differences

Build a basic framework identifying supply chain drivers that are influenced by a firm's decision to offer same-day home delivery

Understand the tradeoffs that influence the success of a same-day home delivery model

Identify qualitative factors to be considered when deciding between non-U.S. facility locations, including transportation time variability, consumer perceptions, and cultural differences

Recent advancements in information and communication technologies have led to the rapid growth of electronic commerce market. In the United States, e-commerce retail sales for 2002 reached $45.6 billion, indicating an increase of 26.9% from 2001 while total retail sales increased 3.1% during the same period. Although e-commerce sales account for only 1.4% of total sales in this country, forecasts show that the magnitude of digital economy will continue to expand. The logistical requirements of e-commerce goods that extend to each customer's address stimulate greater complexity in traditional supply chain management, potentially causing higher costs for freight supply chain participants. To harness the economic potential of e-commerce, it is important to encourage the development of a freight transportation system that will support its steady growth, while avoiding the possible negative effects from the changes in freight transportation. Due to the intrinsic nature of e-commerce goods, advances in home delivery have the potential to promote the growth of e-commerce as well as to create sustainable urban freight transportation systems. Based on the case study of the United States, this paper presents an in-depth discussion of the key challenges arising in home delivery operations, and proposes potential solution strategies that will lead to more efficient and reliable home delivery systems.

E-commerce continues to experience unprecedented growth, but a lack of understanding of socio-behavioral aspects of green last-mile delivery solutions is conflicting with e-commerce and shipping companies' climate-related pledges to e-shoppers. This study seeks to correct for research deficiencies in the e-commerce context by determining how e-shoppers' adoption of green last-mile delivery might be influenced by socio-behavioral factors, personality traits; and e-shopping motivations.

To test the hypotheses, this study collected data from 319 US adults enrolled in an online panel survey and conducted hierarchical regression analyses after controlling for demographic variables.

Results showed that socio-behavioral variables (attitude, subjective norms and perceived behavior control) contributed 60.3% of the unique variance in explaining purchase intention via green delivery (PIGD). Notably, e-shopping motivations derived from utilitarian features (convenience and energy efficiency) and experiential features (e-shopping adventure) emerged as significant predictors of PIGD. Although personality traits (conscientiousness and openness) significantly predicted PIGD in the regression model, the individual effect of openness was not significant. Further, demographic subgroups, including gender, education and income level revealed significant outcomes, while age and ethnicity exhibited no significant group differences with the above-mentioned variables.

The study findings would provide online retailers and marketers with in-depth insight on how green marketing initiatives can increase responsible consumers' intention to purchase via green delivery.

This is a one-of-a-kind effort that integrates and tests e-shoppers' socio-behavioral factors, e-shopping motivations and personality traits into a single model.

Africa has been identified as an area where higher mortality happens due to un-accessibility to health care, drugs and other health facilities. Nigeria, as one of the African countries, is not excluded from such difficulties. This study aims to examine the determinants of efficient last-mile delivery at selected health facilities and the Kaduna State Health Supplies Management Agency (KADSHMA).

The study sourced data from KADSHMA and the health facilities’ staff, with a total of 261 observations used. Likewise, the respondents were picked from warehouses of each health facility and KADSHMA. The data was analysed using the partial least square structural equation modelling analysis to estimate the relationship among the variables of the study.

The study’s findings revealed that all five variables of the study (i.e. determinants) were significantly affecting the efficient last-mile delivery. Four constructs (delivery cost [DC], delivery time [DT], mode of delivery [MD] and facilities technology [FT]) have shown a positive and significant association with efficient last-mile delivery, whereas one variable (product mix [PM]) indicated a negative and significant association with efficient last-mile delivery. The study concludes that DC, DT, MD, FT and PM played significant roles in efficient last-mile delivery.

The study provides that specific means of transportation should always be on standby to transport health supplies. Time schedules should always be prepared and adhered to when transporting health supplies to the facilities, and each facility should network with robust technology to ease communication in terms of order and order planning. Additionally, facilities should try as much as possible to reduce the varieties of products when ordering health supplies, as it will increase the efficiency of the delivery.

To the best of the authors’ knowledge, this study is the first of its kind that considered these five variables (DC, DT, MD, FT and PM) with impact on the last-mile delivery in one model, especially in the Nigerian case. This is a great contribution to knowledge, more importantly, to the last-mile delivery of the health sector. The result confirmed the importance of these determinants (DC, DT, FT and PM) of last-mile delivery efficiency in saving lives.

The paper aims to develop (1) a comprehensive framework for classifying crowdshipping business models and (2) a taxonomy of currently implemented crowdshipping business models.

The business models of 105 companies offering crowdsourced delivery services are analysed. Cluster analysis and principal component analysis are applied to develop a business model taxonomy.

A detailed crowdsourced delivery business model framework with 74 features is developed. Based on it, six distinct clusters of crowdshipping business models are identified. One cluster stands out as the most appealing to customers based on social media metrics, indicating which type of crowdshipping business models is the most successful.

Detailed investigations of each of the six clusters and of recent crowdshipping business model developments are needed in further research in order to enhance the derived taxonomy.

This paper serves as a best-practices guide for both start-ups and global logistics operators for establishing or further developing their crowdsourced delivery business models.

This paper provides a holistic understanding of the business models applied in the crowdshipping industry and is a valuable contribution to the yet small amount of studies in the crowd logistics field.

The purpose of this paper is to identify the realignment of the physical distribution process for store-based retailers in their efforts to integrate the online channel into their business model. Multiple attributes of the physical distribution process are evaluated to identify associations with order fulfillment methods adopted by omni-channel retailers.

A multi-method approach is used which includes qualitative evaluation of 50 interviews of supply chain executives from large retailers. Additionally, secondary data about firm size, store and distribution networks, online sales, distribution configuration, and order delivery options are used. The findings of qualitative analysis are incorporated into a quantitative classification-tree analysis to identify associations among distribution attributes, order fulfillment methods and order delivery services.

Retailers are developing a consistent omni-channel physical distribution process in which stores undertake a bigger role in order fulfillment and delivery. Level of online sales, size of distribution network, number of sales associates at a store, and number of years engaged in the online channel are identified as having strong associations with the type of order fulfillment method used by omni-channel retailers. The study finds that retailers are focussed on integrating their store and DC inventories and have the benefit of scale with a large store network.

Retailers are reconfiguring their physical distribution processes in the complex omni-channel environment can use the findings of this study to evaluate their strategy and identify the level of realignment effort that is needed. A better understanding of the requirements of physical distribution in an omni-channel setting will guide retailers in developing requisite operational capabilities.

This paper provides a first in-depth look at order fulfillment choices in omni-channel retail and identifies efforts that are underway to realign key elements of the physical distribution process.

The purpose of this paper is to evaluate the nature and characteristics of crowd logistics business models. Using this evaluation, a new concept for a sustainable implementation of crowd logistics services is proposed.

The Design Science process was followed to develop the proposed crowd logistics business model concept. The data are derived from expert interviews and a document-based data analysis of 13 companies.

Four relevant steps that companies should follow to implement sustainable crowd logistics services are identified. Open research questions are also identified and guide five research tasks, which may lead to a greater understanding of this emerging field.

The present research is based on data from companies operating in Germany. The holistic approach gives a broad overview but lacks detailed descriptions.

Managers can use the four steps and the crowd logistics business model concept to plan future activities (e.g. new service provision). These steps increase the understanding, awareness and knowledge of opportunities and risks of specific crowd logistics services.

This paper provides initial insights into social changes in terms of drivers for the use of crowd logistics services. However, further research is needed to capture the social implications in detail.

Crowd logistics is an emerging concept, and this paper is one of the first dealing with this topic generally and the first providing an analysis of crowd logistics business models. The developed concept includes implications for practice in the forms of common, and best practices, and science in the form of open research questions and tasks. Overall, the present research provides new insights into this emerging topic.

The learning outcomes are as follows: identify the challenges and opportunities in an ecommerce start-up B; understand the issues of operational sustainability of ecommerce start-up; evaluate the sustainability of hyperlocal models to ecommerce start up; and implement innovative solutions to address the issues of e-business models.

It was the cold winter evening of December 2016 when Puja, a cofounder of freshfruggies, an e-commerce start-up company, made up her mind after meeting her cofounders of reviving the Venture “freshfruggies” as a Hyperlocal Fruits and Vegetables Delivery Company in a non-metro town of Jalandhar in Punjab province of India. She contemplated the poor performance of the company in the past which prepared her for the better planning and execution of operational sustainability of freshfruggies. Puja took the critical decision of revival as she planned to develop the right business strategy for ensuring continuity. freshfruggies had been experiencing constant losses since its inception, and the issues of its sustainability needed attention. It was a dream project for all the co-founders who started with the vision to make freshfruggies a popular ecommerce model of hyperlocal fruits and vegetables delivery in the happening city of Jalandhar. However, lack of trained manpower, weak digital marketing strategy and lack of operating efficiency emerged as major issues of operational sustainability in freshfruggies. The co-founders outlined the possible options to revive freshfruggies after deliberating upon the challenges faced. The choices were limited and time was running out along with finances. The options included either changing the business model to a hybrid retail model or to continue as an ecommerce company after sorting out demand and supply issues. There was an urgent need to take a decision in this regard.

This case focuses on undergraduate and graduate courses in entrepreneurship and operations management courses.

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

CSS 3: Entrepreneurship.

The purpose of this study is to identify the factors that create value for the customer in the area of e-commerce logistics and to verify whether these factors impact online retailers' performance through customer satisfaction and customer loyalty in a business to customer (B2C) area.

For the purpose of the study, a model of logistics value in e-commerce was introduced. The model was proposed based on the literature review. A total of 592 correctly filled questionnaires from telephone and web interviews [computer-assisted telephone interview (CATI) and computer-assisted web interview (CAWI)] were studied. The exploratory factor analysis (EFA) and structural equation modeling (SEM) were conducted in the study.

It was confirmed that four of five defined logistics value dimensions have positive impact on customer satisfaction. These dimensions are communication of delivery status, convenience of receipt, reception experience and convenience of return. The influence of speed of delivery on customer satisfaction was not confirmed. It was also confirmed that customer satisfaction has a positive impact on customer loyalty and that customer loyalty positively impacts online retailers' performance.

The study contributes to the current understanding of the influence of logistics factors on online retailers' performance through customer satisfaction and customer loyalty. There have been few studies that concern logistics value in e-commerce, with particular emphasis on above-mentioned relations. It is especially an important issue due to the fact that logistics can potentially lead to gain a competitive advantage in e-commerce.

The success of last-mile delivery is dependent on consumer acceptance of such services, yet little is known about unattended delivery experience. This paper's purpose is to provide empirically based understanding of customer experience dimensions in unattended home delivery.

Using an engaged scholarship approach, this field study investigated nine households that actively used an unattended delivery service for a period of six to nine months. Empirical data were collected primarily from in-depth interviews.

The study demonstrates that unattended delivery experience is a multidimensional construct that comprises consumers' cognitive, emotional, behavioral, sensorial, physical and social responses to the service. The empirical evidence provides rich descriptions of each customer experience dimension, and the research offers a framework and propositions on unattended delivery experience.

The results guide and support managers in assessing and developing delivery services using a consumer-centric approach to enhance customer experience.

This research is one of the first to address unattended delivery experience by providing a comprehensive, empirically grounded framework. The results provide a foundation for future investigations of last-mile delivery experience dimensions.