Reference-dependent preferences in the on-demand service newsvendor with self-scheduling capacity

Chen, Mingyang; Zhao, Daozhi; Gong, Yeming; Hong, Zhu

doi:10.1016/j.ijpe.2021.108043

Cited by 7 publications

(3 citation statements)

References 33 publications

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“…To effectively manage consumers and providers, platforms need to access real-time information and react dynamically. By sorting out the literature, we find a total of 12 studies on the dynamic pricing of the on-demand instant service platform considering the uncertainty of the time and space requirements (Cachon et al, 2017;Bai et al, 2019;Bimpikis et al, 2019;Guda and Subramanian, 2019;Wu et al, 2020;Yang et al, 2020b;Abhishek et al, 2021;Besbes et al, 2021a, b;Chen et al, 2021a;Dong and Leng, 2021b;Zhu et al, 2021). For example, Bimpikis et al (2019) explored spatial price discrimination in the context of ride-hailing platforms serving a network of locations.…”

Section: Literature Discussionmentioning

confidence: 99%

On-demand service platform operations management: a literature review and research agendas

Yan

Liu²,

Shi³

et al. 2022

MSCRA

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PurposeThe literature review aims to facilitate a broader understanding of on-demand service platform operations management and proposes potential research directions for scholars.Design/methodology/approachThis study searches four databases for relevant literature on on-demand service platform operations management and selects 72 papers for this review. According to the research context, the literature can be divided into research on “a single platform” and research on “multiple platforms”. According to the research methods, the literature can be classified into “Mathematical Models”, “Empirical Studies”, “Multiple Methods” and “Literature Review”. Through comparative analysis, we identify research gaps and propose five future research agendas.FindingsThis paper proposes five research agendas for future research on on-demand service platform operations management. First, research can be done to combine classic research problems in the field of operations management with platform characteristics. Second, both the dynamic and steady-state issues of on-demand service platforms can be further explored. Third, research employing mathematical models and empirical analysis simultaneously can be more fruitful. Fourth, more research efforts on the various interactions among two or more platforms can be pursued. Last but not least, it is worthwhile to examine new models and paths that have emerged during the latest development of the platform economy.Originality/valueThrough categorizing the literature into two research contexts as well as classifying it according to four research methods, this article clearly shows the research progresses made so far in on-demand service platform operations management and provides future research directions.

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Section: Literature Discussionmentioning

confidence: 99%

On-demand service platform operations management: a literature review and research agendas

Yan

Liu²,

Shi³

et al. 2022

MSCRA

View full text Add to dashboard Cite

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“…In this model, energy demand lessening can balance fetched increments due to innovation limitations. With selfscheduling capacity, the on-demand service newsvendor model is proposed by Chen et al [6]. The authors applied the expectations hypothesis to the on-demand benefit newsvendor.…”

Section: 3mentioning

confidence: 99%

“…Thus, in this present research, the demand for the items depends on the selling cost of the item for two diverse channels. However, in those days, customers were more careful about the service provided by the company during the life cycle of the product; that's is service level of the industry plays a critical part in deciding the demand of the specific item Chen et al [6]). Due to the use of the different channels in this study, it is also considered that services for different channels are different.…”

mentioning

confidence: 99%

Retailing and servicing strategies for an imperfect production with variable lead time and backorder under online-to-offline environment

Choi

Dey

Sarkar

2023

JIMO

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<p style='text-indent:20px;'>Online-to-offline (O2O) retailing strategy is one of the trending topics in the business industry. The current study focuses on an advanced retailing strategy for a single item for a retailer and a manufacturer. Reminding the revolution in the internet world, a dual-channel retailing system is developed in this current study. The retailer offers their item through online and offline mode, though the producer prefers only offline mode. Besides, manufacturer provide different services to their clients through the product's life cycle to keep the company's brand image. The product's demand depends on the selling price and its service for both channels (offline and online) to their customers. To upgrade the services, some investments are implied to decrease the lead time. In expansion, to increase the demand and optimize the system benefit, the manufacturer gives their customers different services (unpaid, partially paid, full paid). The supply chain's benefit is optimized beside the ideal esteem of the decision variables. {Application of different service strategies in O2O retailing are near about <inline-formula><tex-math id="M1">\begin{document}$ 71\% $\end{document}</tex-math></inline-formula> beneficial compared to traditional supply chain. Numerical experiment proved that full-paid services are near about <inline-formula><tex-math id="M2">\begin{document}$ 79\% $\end{document}</tex-math></inline-formula> beneficial compare to partially paid service; however, partially paid services are recommended for industrial benefit.} Different numerical examples, exceptional cases, and sensitivity analyses were performed to prove the model's applicability along with graphical representations.</p>

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An on-demand service platform with self-scheduling capacity: Uniform versus multiplier-based pricing

Chen

Zhao

Gong

et al. 2022

International Journal of Production Economics

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Reference-dependent preferences in the on-demand service newsvendor with self-scheduling capacity

Cited by 7 publications

References 33 publications

On-demand service platform operations management: a literature review and research agendas

On-demand service platform operations management: a literature review and research agendas

Retailing and servicing strategies for an imperfect production with variable lead time and backorder under online-to-offline environment

An on-demand service platform with self-scheduling capacity: Uniform versus multiplier-based pricing

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