1,721,017 research outputs found
On-demand food delivery: investigating the economic performances
Full text linkPurpose: This paper focusses on on-demand food delivery (ODFD), i.e. the delivery of freshly prepared meals to customers' homes, enabled by the use of online platforms. In ODFD, a key process is represented by last-mile deliveries (LMDs): they directly affect customers (the delivery price influences their purchase intention), riders (the compensation drives their willingness to perform deliveries) and platforms (deliveries are very expensive). In this context, this work aims to investigate the economic performances of ODFD LMDs. Design/methodology/approach: This study adopts a multi-method threefold process. First, it develops a model that – after the generation of customers' demand and the assignment of deliveries to available riders – identifies incomes and costs faced by an ODFD operator. Second, the model is applied to a base case in Milan (Italy). Third, sensitivity analyses are performed (on daily demand and riders' salary). Findings: The analyses allow – besides the identification of significant values associated to ODFD profitability – to draw general insights about delivery price (e.g. free delivery is not economically sustainable), daily demand (e.g. greater demand values do not only improve positive results but also worsen negative ones) and fixed/variable wage mix (e.g. increasing the variable wage enhances the profitability for platforms). Originality/value: On the academic side, this word enhances extant literature about ODFD, proposing a model – with multidisciplinary implications – to strategically investigate profitability conditions of LMDs. On the managerial side, it provides support for (logistics/marketing) ODFD practitioners since it allows to evaluate the potential impact of significant decisions on profitability
The impact of e-marketplace on the B2b relationships
Full text linkPurpose: Considering the growing momentum of online marketplaces worldwide, the purpose of this paper is to develop a model to identify the main activities impacted by the implementation of an e-marketplace in the business-to-business relationship and assess the savings on costs for the main actors involved (i.e. manufacturer, distributor and retailer). Design/methodology/approach: The methodology used in the study is a quantitative one. The analytical model used to evaluate B2b e-marketplace's impacts followed three main steps: (1) model settings and general assumptions, (2) cost structure and (3) model simulation. Findings: The findings reveal that beyond stock-out costs and inventory levels also other operating costs (i.e. transportation, penalty and administrative costs) play a significant role in determining overall impacts of B2b e-marketplace, and as such should be considered by managers in their process of e-marketplace evaluation, selection and performance optimisation. The model shows that compared with the offline scenario the B2b e-marketplace is expected to bring value to the overall supply chain, which tends to increase as the share of e-sales penetration is increased, ranging from a cost reduction of 0.1% (€ 229.2k) in the base-case of 10% e-sales adoption, up to 0.9% (€ −2.2 M) in case of full e-marketplace adoption. Originality/value: This study aims to shed light and foster the adoption of B2b e-marketplace by providing some practical tools to support (1) research in future studies, filling the existing gaps on the topic, and (2) managers in the process of adoption and execution of e-sales through online marketplaces
Investigating multi-parcel crowdsourcing logistics for B2C e-commerce last-mile deliveries
Full text linkB2C e-commerce last-mile delivery (LMD) is a critical process, considering both efficiency and effectiveness: it implies high costs, and online customers have stringent service level expectations. One promising LMD solution based on crowdsourcing logistics (CL) is the ‘multi-parcel’ paradigm (each rider accomplishes different deliveries in the same tour). This work analyses the impact of multi-parcel CL on delivery costs compared to traditional by-van LMD. First, it develops an analytical model that –generating customers’ demand and assigning deliveries to riders– computes both CL and traditional LMD costs. Second, the model is applied to a case in Milan, Italy. Third, sensitivity analyses are run on key variables/parameters. Multi-parcel CL entails significant benefits compared to traditional LMD (about 11% saving). On the academic side, this work contributes to the literature, proposing a model that investigates the performances of multi-parcel CL. On the managerial side, it may support practitioners in implementing this innovative delivery solution
Enhancing in-store picking for e-grocery: an empirical-based model
Full text linkPurpose: 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
Cloud-based booking platforms in warehouse operations
Full text linkThis study evaluates the implementation costs of cloud-based booking platforms (CBBPs) to manage vehicle queues in warehouses and investigates how cloud-based booking platforms support inter-organizational logistics processes. To understand the impact of CBBPs, we interviewed logistics managers concerning the structure of the CBBP processes, salient platform features, and their effects on inter-organizational dynamics. In addition, we conducted an analytical modeling simulation to compute the economic impact of each investment scenario. Our results show that CBBP benefits, and their financial viability, are sensitive to the size of a company and the selected decision driver (cost vs. time optimization). Hence, our findings challenge the standard view that adopting digital technologies in inter-organizational settings is an easy task
E-grocery logistics: exploring the gap between research and practice
Full text linkPurpose: This paper investigates the logistics management in the e-grocery sector. It contrasts the key issues faced by practitioners and the topics addressed in the academic literature, to identify potential misalignments between research and practice and propose avenues for future efforts. Design/methodology/approach: This work adopts a twofold methodological approach. From an academic perspective, a systematic literature review (SLR) is performed to define the topics addressed so far by scholars when analysing e-grocery logistics. From a managerial perspective, a Delphi study is accomplished to identify the most significant issues faced by logistics practitioners in the e-grocery context and the associated significance. Findings: The study develops a conceptual framework, identifying and mapping the 9 main logistics challenges for e-grocery along 4 clusters, in the light of a logistics-related revision of the SCOR model: distribution network design (area to be served, infrastructures), order fulfilment process (picking, order storage, consolidation, delivery), logistics-related choices from other domains (product range, stock-out management) and automation. These elements are discussed along three dimensions: criticalities, basic and advanced/automation-based solutions. Finally, the main gaps are identified – in terms of both under-investigated topics (order storage and stock-out management) and investigated topics needing further research (picking and automation) – and research questions and hypotheses are outlined. Originality/value: This paper provides a threefold contribution, revolving around the developed framework. First, it investigates the state of the art about e-grocery logistics, classifying the addressed themes. Second, it explores the main issues e-grocery introduces for logistics practitioners. Third, it contrasts the two outcomes, identifying the misalignment between research and practice, and accordingly, proposing research directions
Investigating the relationships between uncertainty types and risk management strategies in cross-border e-commerce logistics
Full text linkPurpose: Due to its fast growth, cross-border e-commerce (CBEC) is becoming a popular internationalization model, especially in those destination markets with impressive e-commerce development like China. However, CBEC also brings new logistics challenges and uncertainty. This paper aims to understand how companies cope with logistics uncertainty in this field and whether the different types of uncertainty influence the risk management strategies adopted to face them. Design/methodology/approach: A survey targeting online exporters to China and third-party forwarding logistics service providers (3PFLs) is conducted. A structural equation model (SEM) analysis is performed to test the possible relationship between the adopted risk management strategies and the types of uncertainty. The type, industry and size of the company, as well as the distance between the company's home country and China, are used as control variables in the study. Survey results are enriched via interviews with some of the respondents. Findings: The risk management strategies adopted are dependent on the type of logistics uncertainty that the companies face and, to a minor extent, on the industry the company operates in. Conversely, no significant influence is exerted by other types of control factors, i.e. home country, company size or company type. Originality/value: The paper investigates logistics uncertainty and risk management approaches in the novel context of CBEC. A systematic review of relevant sources of uncertainty is offered to help both scholars and practitioners understand the current complexities of CBEC. From a theoretical perspective, the paper models the investigated concepts in light of the contingency approach. From a practical perspective, results can be of interest since the list of proposed items can support risk identification and evaluation while the interviews with managers can provide insights on risk management practices
Green practices for global supply chains in diverse industrial, geographical, and technological settings: A literature review and research agenda
No full textWith the rise in global consumption and the consequent intensive demand for global resources, the attention of scholars and practitioners towards greener supply chains has grown over the years. In this context, this study has two main aims. The first is to offer an up-to-date literature review of the ways in which sustainability is pursued in diverse settings, based on the sector, the geographical area, and the level of adoption of digital technologies of a company. The second aim is to identify the research gaps in this field, and to suggest directions for future investigations. The results of the structured literature review reveal that, although developed and developing countries tend to focus on different types of sustainable interventions, three factors are consistently considered to be crucial for the success of a sustainable initiative in global supply chains. These factors are the collaboration along the supply chain, the commitment of the top management, and the presence of environmentally-oriented policies or regulations. These three factors complicate the decision-making process that is needed to implement sustainable practices. Therefore, we suggest ways in which to design future research that better capture the real challenges of making environmentally conscious decisions, leveraging on the concepts of the Intertwined Supply Network (ISN) and the cognitive frame
On-demand food delivery: a systematic literature review
Full text linkPurpose: The purpose of this paper is twofold: first, to review the extant academic literature on on-demand food delivery (ODFD) services, i.e. the delivery of freshly prepared meals from restaurants to customers enabled by online platforms; second, to propose directions for future research in this field. Design/methodology/approach: This work reviews 59 papers published between 2016 and 2020. They are classified with respect to both their research methodology and the addressed themes, namely the actors involved and the activities creating value for the ODFD ecosystem. The latter was analysed by applying a framework derived from the integration of traditional models and literature about platforms/business ecosystems. Results were validated through interviews with practitioners. Findings: Due to its huge success and the significant complexities behind it, the ODFD business has been gaining the interest of academics. The authors’ review highlights that (1) the perspectives of the various actors involved should be integrated, moving towards an ecosystem-based view; (2) future research should focus more on restaurant operations and their role in ODFD systems and (3) despite they have been investigated by several academic contributions, human resource management and logistics of ODFD systems still present room for further extensions, in the areas of intervention/regulation and distribution network/batching, respectively. Originality/value: This review offers insights to both academics and practitioners. On the academic side, it analyses the literature on ODFD systems, outlining directions for future research. On the managerial side, it provides a comprehensive view on the most critical value-creating activities for ODFD businesses
Parcel lockers vs. home delivery: a model to compare last-mile delivery cost in urban and rural areas
Full text linkPurpose This paper investigates the economic performances of two business-to-consumer (B2C) e-commerce last-mile delivery options -parcel lockers (PLs) and traditional home delivery (HD) in contexts where e-commerce is still at its early stages. It analyses and compares two different implementation contexts, urban and rural areas. Design/methodology/approach This study develops an analytical model that estimates delivery costs for both the PL and HD options. The model is applied to two base cases (representative of urban and rural areas in Italy), and sensitivity analyses are subsequently performed on a set of key variables/parameters (i.e. PL density, PL fill rate and PL annual costs). To support the model development and application, interviews with practitioners (Edwards et al., 2011) were performed. Findings PLs imply lower delivery cost than HD, independently from the implementation area (urban or rural): advantages mainly derive from the higher delivery density and the drastic reduction of failed deliveries. Benefits entailed by PLs are more significant in rural areas due to lower PL investments and annual costs, as well as higher HD costs. Originality/value This paper offers insights to both academics and practitioners. On the academic side, it develops a model to compare the delivery cost of PL and HD, which includes the analysis of urban and rural contexts. This could serve as a platform for developing/informing future analytical/optimisation contributions. On the managerial side, it may support practitioners in making decisions about the implementation of PLs and HD, to benchmark their costs and to identify the main variables and parameters at play
- …
