Consumer Inter‐Product Showrooming and Information Service Provision in an Omni‐Channel Supply Chain

Zhang, Tao; Li, Gang; Cheng, T.C.E.; Shum, Stephen

doi:10.1111/deci.12415

Cited by 47 publications

(44 citation statements)

References 38 publications

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“…Zhang et al stated that risk management information services play an important role in the production and operations of enterprises. With the development of the economy and society, the demand for risk management information services is increasing [ 14 ]. Zhang et al elaborated on the enterprise risk management information service; analyzed the functional mechanism, operating mechanism, and operating process of the risk management information service in the process of enterprise growth; and constructed the development power model of the risk management information service.…”

Section: Related Researchmentioning

confidence: 99%

Research on enterprise knowledge service based on semantic reasoning and data fusion

Yang

Meifang

2021

Neural Comput & Applic

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In the era of big data, the field of enterprise risk is facing considerable challenges brought by massive multisource heterogeneous information sources. In view of the proliferation of multisource and heterogeneous enterprise risk information, insufficient knowledge fusion capabilities, and the low level of intelligence in risk management, this article explores the application process of enterprise knowledge service models for rapid responses to risk incidents from the perspective of semantic reasoning and data fusion and clarifies the elements of the knowledge service model in the field of risk management. Based on risk data, risk decision making as the standard, risk events as the driving force, and knowledge graph analysis methods as the power, the risk domain knowledge service process is decomposed into three stages: prewarning, in-event response, and postevent summary. These stages are combined with the empirical knowledge of risk event handling to construct a three-level knowledge service model of risk domain knowledge acquisition-organization-application. This model introduces the semantic reasoning and data fusion method to express, organize, and integrate the knowledge needs of different stages of risk events; provide enterprise managers with risk management knowledge service solutions; and provide new growth points for the innovation of interdisciplinary knowledge service theory.

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Section: Related Researchmentioning

confidence: 99%

Research on enterprise knowledge service based on semantic reasoning and data fusion

Yang

Meifang

2021

Neural Comput & Applic

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“…Some scholars considered the scenario with competition. For instance, Zhang et al investigated a retailer's information service decision and two competing manufacturers' pricing decisions when the retailer operates both the online channel and showroom [26]; Li et al studied whether a showroom cooperating with an existing e-tailer introduces a competing e-tailer under information asymmetry [27]; Zhang et al studied an online manufacturer's response strategy to a retailer when it introduces a competing product in its showroom [28].…”

Section: Literature On Showroom Modelmentioning

confidence: 99%

“…The second stream of literature under competition is more related, but Zhang et al [26] mainly focused on the competition between manufacturers, and the online channel and showroom belong to one retailer; Li et al [27] mainly studied whether a showroom introduces a competitor; Zhang et al [28] focused on product competition in a one-to-one supply chain. Differently, we consider a supply chain with a showroom and two competing e-tailers, and explore information acquisition and its incentives of supply chain members.…”

Section: Literature On Showroom Modelmentioning

confidence: 99%

Information Acquisition and Its Incentives in an E-Commerce Supply Chain under the Offline Showroom Model

Zhang

2021

JTAER

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Recently, the showroom model has developed fast for allowing consumers to evaluate a product offline and then buy it online. This paper aims at exploring the optimal information acquisition strategy and its incentive contracts in an e-commerce supply chain with two competing e-tailers and an offline showroom. Based on signaling game theory, we build a mathematical model by considering the impact of experience service and competition intensity on consumers’ demand. We find that, on the one hand, information acquisition promotes supply chain members to obtain demand information directly or indirectly, which leads to forecast revenue. On the other hand, information acquisition promotes supply chain members to distort optimal decisions, which results in signal cost. The optimal information acquisition strategy depends on the joint impact of forecast revenue, signal cost and demand forecast cost. Notably, in some conditions, the offline showroom will not acquire demand information even when its cost is equal to zero. We also design two different information acquisition incentive contracts to obtain Pareto improvement for all supply chain members.

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“…(2020a) and Zhang et al. (2020) investigate the impact of such consumer behavior on product assortment strategy with the retail service that is provided by the physical showroom. Our work also examines consumer behavior in the physical showroom.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The online‐to‐offline channel strategy and physical showroom have become heated topics in research. A growing body of literature has studied the effect of the physical showroom (Gao and Su, 2017b; Bell et al., 2018) and operation decisions in physical showrooms (Gu and Tayi, 2017; Zhang et al., 2020; Li et al., 2020a), but they mainly focus on cases in which the physical showroom and the online channel belong to the same party. In practice, some online manufacturers partner with offline retailers to establish physical showrooms.…”

Section: Introductionmentioning

confidence: 99%

Should an online manufacturer partner with a competing or noncompeting retailer for physical showrooms?

Bin

Zhang

Guan

et al. 2020

Int Trans Operational Res

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More and more online manufacturers collaborate with offline retailers who provide retail services to showcase products in offline retailers’ stores and feature the stores as physical showrooms. Since offline retailers may be noncompeting or competing depending on the product they sell, we investigate two collaboration strategies. Our results show that product competition causes the decreased demand that is realized through physical showroom (negative competition effect) and the increased demand to buy online directly (positive spillover effect) for the online manufacturer. When the positive spillover effect dominates the negative competition effect, the online manufacturer prefers to partner with the competing retailer and strategically sets a high price. Interestingly, the online manufacturer's willingness to partner with the competing retailer may increase with competing product value. Besides, the online manufacturer may benefit from the increased value of the competing product and the increased commission that is paid to the retailer under product competition.

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Consumer Inter‐Product Showrooming and Information Service Provision in an Omni‐Channel Supply Chain

Cited by 47 publications

References 38 publications

Research on enterprise knowledge service based on semantic reasoning and data fusion

Research on enterprise knowledge service based on semantic reasoning and data fusion

Information Acquisition and Its Incentives in an E-Commerce Supply Chain under the Offline Showroom Model

Should an online manufacturer partner with a competing or noncompeting retailer for physical showrooms?

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