Implications of matching and pricing strategies for multiple-delivery-points service in a freight O2O platform

Li, Jianbin; Zheng, Yuting; Dai, Bin; Jiang, Yu

doi:10.1016/j.tre.2020.101871

Cited by 39 publications

(19 citation statements)

References 34 publications

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“…Particularly, Quickresponse (QR) scanning code technologies and terminals for shopping using QR codes allow customers to buy online and collect goods at the mall fronts or have them delivered (Du and Tang, 2014). Li et al (2020) concur as they found that in relation to the freight operations, O2O benefits drivers by reducing their operating costs and enabling increased orders.…”

Section: Characteristics and Benefits Of O2omentioning

confidence: 68%

O2O Adoption Benefits: A Managerial Perspective of Customer Benefits

Ram

Manoharan²,

Sun

2020

EJISE

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Online‑to‑offline (O2O) is a fast‑growing business innovation, pointing online customers to physical locations where they can more closely inspect – and purchase – their desired products, or can collect them after ordering online. However, the growth of O2O may be limited by the lack of reliable understanding of its benefits to customers. This study aims to remedy this lack of knowledge, by analyzing the transcripts of 24 semi‑structured interviews with managers. The study finds that O2O benefits customers in three main ways: (1) making more informed decisions, (2) receiving timely information on discounts and sales, leading to time and cost savings, and (3) having direct interaction opportunities with the business ‑ something which is not the case in a pure online business. Contrary to general understanding, the results show that offering discounts as a benefit to customers is an approach that is not necessarily applicable across‑the‑board, because in some industries the margins are too low to offer any discounts. Further work may be needed to examine the relevance of discount as a customer benefit proposition for adopting O2O. We also find that the time saving benefit to customers remains a contentious issue, as the availability of too much choice may lead to customers spending too much time investigating the product/service, thereby delaying their decisions and ultimately negating any benefits. The results contribute to e‑commerce literature in building the theoretical understanding of the perceived benefits of O2O for customers from a managerial perspective. The identification of O2O benefits for customers will also help in understanding the behaviors and intentions as well as perceived value of adoption and acceptance of newer forms of technological ‑oriented innovations such as O2O in general. Managers can use the results for business‑case development and strategizing benefits realization of adopting O2O. The results will help managers in creating tailored strategies to integrate features and functionalities in the software products used for O2O to ensure that identified benefits are provided to the customers, thus improving the chances of successful realization.

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Section: Characteristics and Benefits Of O2omentioning

confidence: 68%

O2O Adoption Benefits: A Managerial Perspective of Customer Benefits

Ram

Manoharan²,

Sun

2020

EJISE

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“…As mentioned above, among a large number of initiatives implemented to optimise UFD operations, collaborative measures are considered by stakeholders to be one of the best performing. Collaboration, defined as an initiative for independent companies to join forces in terms of information exchange, planning, execution of objectives, and even strategic alliances [20], [21]has proven to be a valid strategy for every stakeholder to gain in competitiveness. It uses information sharing to create knowledge about the market and business operations [22] and allows companies to deal with highly competitive environments [23].…”

Section: A Collaborative Measures In Urban Freight Distributionmentioning

confidence: 99%

Microsimulation-Based Collaboration Model for Urban Freight Transport

et al. 2020

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The different stakeholders involved in urban freight distribution, their behaviours, and interactions are attracting the attention of researchers and practitioners in logistics and freight transport, pushed by the need to develop methods and models for assessing ex ante actions/measures to improve the logistics process performance. Besides, the large amounts of data currently available open up new opportunities, as well as the possibility of using them to review past operations and provide suggestions and guidelines for future decision-making. In this context, to improve city sustainability and liveability, the cooperation and coordination among transport and logistics operators have been some of the measures for optimizing freight operations, with a subsequent reduction in vehicles and traffic impacts. Therefore, opportunities arise to point out the stakeholders' decentralised collaboration and the dynamic information driving urban logistics operations. In this context, this paper presents a microsimulation model framework to support the operational decision-making of an urban supply chain that makes the most of such cooperation and coordination and appropriately responds to the dynamic changes of demand and supply. The model was first tested using data collected in the urban area of Medellin, Colombia and we obtained satisfactory results that show the benefits of implementing such modelling framework to support decision making policies.

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“…In this mode of crossover, as long as two parents are feasible, the offspring generated by their hybridization will also be feasible. at is, the constraint of visiting the merchant nodes (1,3,5,7,9) before their corresponding customer nodes (2,4,6,8,10) can be easily satisfied.…”

Section: Subalgorithm: Current Optimal Route Optimizationmentioning

confidence: 99%

“…Shi et al [9] proposed a B2C and o2o innovative joint distribution service and designed an improved C-W algorithm based on node insertion path merging to realize the optimization of goods receipt and delivery with time window (PDPTW). Li et al [10] studied the task allocation and pricing strategy between o2o platform and distributors when optimizing the optimal delivery path of goods. Using mixed integer linear programming, a matching strategy was proposed.…”

Section: Introductionmentioning

confidence: 99%

Research on Coordination and Optimization of Order Allocation and Delivery Route Planning in Take-Out System

Sun

Tian

Liu

et al. 2020

Mathematical Problems in Engineering

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This paper studies the take-out route delivery problem (TRDP) with order allocation and unilateral soft time window constraints. The TRDP considers the order allocation and delivery route optimization in the delivery service process. The TRDP is a challenging version of vehicle routing problem. In order to solve this problem, this paper aims to minimize the total cost of delivery, builds an optimization model of this problem by using cumulative time, and adds time dimension in order allocation and path optimization dimensions. It can not only track the real-time location of delivery personnel but also record the delivery personnel to perform a certain task. The main algorithm is the dynamic allocation algorithm designed from the perspective of dispatch efficiency, and the subalgorithm is the improved genetic algorithm. Finally, some experiments are designed to verify the effectiveness of the established model and the designed algorithm, the order allocation and route optimization are calculated with/without the consideration of traffic jam, and the results show that the algorithm can generate better solution in each scene.

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Implications of matching and pricing strategies for multiple-delivery-points service in a freight O2O platform

Cited by 39 publications

References 34 publications

O2O Adoption Benefits: A Managerial Perspective of Customer Benefits

O2O Adoption Benefits: A Managerial Perspective of Customer Benefits

Microsimulation-Based Collaboration Model for Urban Freight Transport

Research on Coordination and Optimization of Order Allocation and Delivery Route Planning in Take-Out System

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