Coordinating Demand and Supply for Crowd Logistics Platforms with Network Effect

Wang, Wenjie; Xie, Lei

doi:10.1155/2021/1567278

Cited by 3 publications

(3 citation statements)

References 29 publications

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“…With the help of information technology, the authorization, tracking, and processing of returns can be realized [5]. Wang and Xie proposed that enterprises should flexibly respond to market demands in a fiercely competitive market, and to provide the right product at the right price at the right time is inseparable from logistics, the basis of which is the analysis of logistics information [6]. Sun et al pointed out that different types of logistics information should match the level of cooperation among supply chain partners, so as to achieve the sharing and coordination of sensitive supply chain logistics information; therefore, the type of logistics information sharing should be aligned with the enterprise resource planning (ERP) solution [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Yan¹

2022

Journal of Control Science and Engineering

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Based on the concept of market sharing, the author has developed Internet technology-based logistics distribution data exchange to control the cost of shipping to benefit the transfer for new types of management and operations. Investigate the needs of export shipments, such as external management responsibilities, requirements of management responsibilities, data recovery, and data recovery requirements, based on the current state of the shared platform model integration, and determine the business model. Based on this, three types of IoT cloud, such as single-center multiterminal, multicenter multiterminal, and data and application layer, can be completed and the Internet of Things can be defined by education. About the use of the cost of distribution, the transportation contract is to identify the needs of Internet technology-based logistics distributions and complete the construction of Internet technology-based logistics distribution information exchange platform. The results of the experiment showed that the results recorded in the test group did not differ from the actual results only twice, the level of difference was small, and the mean error was less than 1%. In terms of logistics distribution exposure, the average level of the assessment group is significantly higher than that of the management group, with a minimum collection rate of 90.07%, while the minimum value of the control group is as low as 76.32%. Compared with blockchain-based integration, Internet of Things technology-enabled sharing platforms can capture real-time data, transfer data, monitor shipping costs, and improve management and operations.

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Section: Literature Reviewmentioning

confidence: 99%

Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Yan¹

2022

Journal of Control Science and Engineering

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“…As an emerging "last-mile" distribution method in the era of mobile Internet, crowdsourcing logistics has been deeply studied and discussed by scholars on its business mode (e.g., Vecera and Pribyl [18]), types (e.g., Rai et al [10]), advantages and challenges (e.g., Mladenow et al [19]), as well as future development prospects (e.g., Mladenow et al [1]) since its birth. The research perspective involves crowdsourcers (crowdsourcing platforms and online stores) (e.g., Wang and Xie [20]), crowdworkers (e.g., Liang et al [12]), and users (e.g., Punel et al [21]). In recent years, due to the increase in labor costs, the increase in express delivery volume, and the improvement of delivery service quality requirements for crowdworkers, the influencing factors of crowdworkers' continuous participation in delivery have become the focus of platforms and researchers.…”

Section: Related Literaturementioning

confidence: 99%

Factors Influencing Crowdworkers’ Continued Participation Behavior in Crowdsourcing Logistics: A Textual Analysis of Comments from Online Platforms

Xie,

Lin,

Deng

et al. 2023

Sustainability

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With the lazy economy’s rise in the digital era, the demand for crowdsourcing logistics delivery is increasing. In this process, the continued participation of crowdworkers has been a considerable challenge. In order to further clarify the influencing factors of crowdworkers’ continuous participation and better and targeted incentives for their participative behavior, we use ROST-CM 6.0 software to conduct textual analysis on 3000 comments from crowdworkers on China’s Meituan and Hummingbird crowdsourcing logistics platforms. The results show that the order dispatch system, reward and punishment system, and platforms’ service are the key factors concerned by crowdworkers. The total negative sentiment among crowdworkers regarding crowdsourcing logistics platforms is close to 20%. We also find that crowdsourcing logistics platforms still have room for improvement in the quantity and quality of orders dispatched, the evaluation factors and the appeal system for reward and punishment rules, and the freedom and flexibility of distribution work. Otherwise, this might lead to a trust issue between crowdworkers and the crowdsourcing logistics platform. Based on the research findings, we recommend that the crowdsourcing logistics platforms should enhance service awareness, provide a better work experience for crowdworkers, and optimize platform functions. The government should act as a regulator as well as a service provider. This paper’s innovations include methodologically, from the perspective of the crowdworkers, online comment texts are used to mine the behavioral factors that influence the crowdworker’s continued participation in crowdsourcing logistics; content-wise, it adds fresh insights to existing research on how the order allocation system and platform reward and punishment mechanisms affect the crowdworkers’ continuous participation behavior.

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“…Xu et al [20] and Wang and Xie [21] considered the dynamic pricing under several diferent demand situations, respectively. Wang and Xie [22] considered both direct-network efects and cross-network efects to coordinate supply and demand balance. Compared with the existing literature, this paper will use the diferential game method to consider the game between the service provider and the crowdsourcing platform and fnally obtain the optimal pricing.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Pricing and Logistics Service Decisions for Crowd Logistics Platforms with Social Delivery Capacity

Cheng

2022

Mathematical Problems in Engineering

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With the development of sharing economy, more and more enterprises choose crowd logistics for distribution. Because the crowd logistics platform uses social freelancers, the service quality is difficult to guarantee. Considering the reward-penalty mechanism, dynamic differential game models are constructed to study the optimal pricing and quality of crowd logistics services under stochastic demand based on the optimal control theory and Pontryagin maximum principle. The numerical simulation results show that the optimal dynamic decisions change with the fluctuation of demand dynamically. Furthermore, the platform needs to adjust the value of the reward-penalty factor to ensure the level of service quality and revenue in different situations.

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Coordinating Demand and Supply for Crowd Logistics Platforms with Network Effect

Cited by 3 publications

References 29 publications

Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Factors Influencing Crowdworkers’ Continued Participation Behavior in Crowdsourcing Logistics: A Textual Analysis of Comments from Online Platforms

Dynamic Pricing and Logistics Service Decisions for Crowd Logistics Platforms with Social Delivery Capacity

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