Research on the triangle distribution model based on third-party logistics alliance

Qu, Xin-Huai; Song, Wenfeng; Bi-rong, Ding; Zhao, Han

doi:10.1109/icieem.2011.6035446

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…A customer has the option to visit the offline store, incurring a travel fee or distance cost denoted as t to physically examine a product before making a purchase. We assume that a consumer’s distance cost is uniformly distributed in [0, 1] [ 27 , 28 ]. When there is a good match found in the offline store, consumers will make their purchases there.…”

Section: Modelmentioning

confidence: 99%

Omnichannel integration strategy based on BOPS

Tan,

Li,

Yin

et al. 2023

PLoS ONE

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Technological innovation and the upgrading of consumer preferences have greatly accelerated the rapid development of the "new retail" omnichannel model. Meeting the personalized and seamless interactive experience expected by consumers requires integrating the advantages of both offline and online channels and expanding the integrated and intelligent omnichannel layout. This has emerged as a complex problem that the industry urgently needs to address. In order to tackle this issue, we conducted a study on a Buy-Online-and-Pick-up-in-Store (BOPS) pricing game between offline stores and e-commerce departments, considering factors such as match probability and network cost of return. Furthermore, we proposed the Buy-Online-and-Pick-up-in-Store-and-Return-Online (BORO) strategy and conducted an analysis on the variation in market share and revenue levels for both offline stores and e-commerce departments under this strategy. The results demonstrate that: (i) the omnichannel strategy of BOPS can increase the revenues of both offline stores and e-commerce departments only when the distance costs are moderate; (ii) the BORO strategy provides greater benefits to offline stores compared to e-commerce departments; and (iii) the effectiveness of the BORO strategy is influenced by factors such as match probability, distance cost, and product return. This research not only provides a theoretical foundation but also practical insights for the strategic channel management of omnichannel brand merchants.

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Section: Modelmentioning

confidence: 99%