Shared Capacity Routing Problem − An omni-channel retail study

Paul, Joydeep; Agatz, Niels; Spliet, Remy; Koster, René de

doi:10.1016/j.ejor.2018.08.027

Cited by 43 publications

(12 citation statements)

References 18 publications

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“…In terms of empirical studies on omnichannel retailing, most explored different functional areas of management, such as supply chain/logistics (Hübner et al, 2016b; Murfield et al., 2017; Paul et al., 2019; Song et al., 2019a; Yadav et al., 2019), marketing (Cao & Li, 2018; Hosseini et al., 2018; Jocevski et al., 2019; Picot‐Coupey et al., 2016; Shen et al., 2018; Zhang et al., 2018a), and to a lesser extent human resource management (Ilk et al., (2018). Along these lines, the majority of studies relied on data from multiple industries (Alexander & Cano, 2019; Buldeo Rai et al., 2019b; Jocevski et al., 2019; Larke et al., 2018; Saghiri et al., 2017; Valentini et al., 2020; Yrjölä et al., 2018a).…”

Section: Synthesis Of Findings and Future Research Agendamentioning

confidence: 99%

Consumer decision‐making in omnichannel retailing: Literature review and future research agenda

Mishra

Singh

Köles

2020

Int J Consumer Studies

269

255

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The emergence of omnichannel retailing has revolutionized the way traditional e‐commerce business operates, subsequently bringing fundamental changes to consumer expectations and decision‐making processes. Despite the unquestionable relevance of this area of inquiry, the focal literature concerning omnichannel retailing remains sporadic and fragmented. With this in mind, the purpose of the current paper is to provide a comprehensive and concise state of the art literature review on omnichannel retailing. More specifically, we engage and draw upon the cognitive‐affective‐conative model to understand consumer behaviour within the omnichannel retailing context. The current study is built based on a review of total 131 research papers that were identified following a comprehensive search of the Web of Science database, capturing the time period between January 2011 and April 2020. This set of work was reviewed thoroughly to explore the aims, methodology and key contributions. In addition to engaging a systematic assessment and rigorous evaluation of the studies, we also extend literature by studying the relationship between omnichannel retailing and consumer decision making, with specific attention to consumer motivation, attitude and behaviour towards omnichannel retailing. Previous studies suggest consumer behaviour in omnichannel retailing to be a promising yet underexplored area with several potential avenues for future research. Among these, particularly lucrative directions include theory‐driven research, comparative cross‐cultural studies and qualitative approaches that capture rich first‐hand accounts of consumer decision‐making encounters. The current paper is timely and advantageous because it offers a holistic picture of omnichannel retailing research and provides literature‐driven evidence about a range of relevant consumer behavioural dimensions. It also integrates consumer responses using the cognitive‐affective‐conative model to advance our understanding of consumer decision‐making in the omnichannel customer journey. Recommendations for future research are provided using the Theory, Methodology and Context (TMC) framework. We conclude the paper by discussing implications for academics and practitioners.

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Section: Synthesis Of Findings and Future Research Agendamentioning

confidence: 99%

Consumer decision‐making in omnichannel retailing: Literature review and future research agenda

Mishra

Singh

Köles

2020

Int J Consumer Studies

269

255

View full text Add to dashboard Cite

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“…Paul et al. (2019) studied the shared capacity routing problem in an omni‐channel retail setting and presented a heuristic approach to solve the associated planning problem. MacCarthy et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In a comprehensive study of omni-channel, H übner et al (2016) highlighted three distribution services that are associated with omni-channel retailing: conventional in-store purchasing, home delivery, and physical store pickup. Paul et al (2019) studied the shared capacity routing problem in an omni-channel retail setting and presented a heuristic approach to solve the associated planning problem. MacCarthy et al (2019) applied the best performance frontier to decide the timing to offer collecting activities, the minimal picking rate, and the necessary number of picking waves to fulfill the BOPS channel.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal pricing decisions for an omni‐channel supply chain with retail service

Jiang

Liu

Lim

2020

Int Trans Operational Res

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Motivated by the emergence of dominant physical stores utilizing a buy‐online‐and‐pickup‐in‐store (BOPS) channel, we examine the interaction of such a stronger retailer and a manufacturer's strategies on the pricing and service value. The dominant retailer provides an added service value to end consumers by the traditional channel and BOPS option, which has a positive influence on the market demand. The manufacturer makes the channel selection decision between a dual channel and an omni‐channel. We formulate a retailer Stackelberg game and characterize the equilibrium pricing and service solutions under centralized and decentralized cases. Our results indicate that the service value of a physical store strongly influences the players' pricing strategies. The sensitivity analysis reveals that the total revenue of the supply chain increases with the market scale expansion coefficient of the BOPS option. Furthermore, the result suggests that offering the BOPS channel is always an effective initiative to boost supply chain performance, especially in the centralized structure.

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“…Online as well as store customers can ask for a home delivery of the goods purchased and additionally order associated installation services at the delivery destination requested. In addition, the given structure enables the retailer to fulfill click‐and‐collect orders for customers who wish to pick up the goods they have ordered at the retailer's stores, or to provide general store deliveries at short notice (Paul, Agatz, Spliet, & Koster, 2019). The retailer fulfills all these different kinds of customer and store orders from one of its omnichannel regional warehouses.…”

Section: Problem Descriptionmentioning

confidence: 99%

Same‐day deliveries in omnichannel retail: Integrated order picking and vehicle routing with vehicle‐site dependencies

Schubert

Kühn

Holzapfel

2020

Naval Research Logistics

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Currently, the most common delivery mode offered in online retailing is next‐day delivery. Retailers, however, are investigating whether same‐day deliveries can be offered to online and store customers in order to meet increasing customer requirements. The present paper considers an integrated order picking and vehicle routing problem assuming same‐day delivery in the field of omnichannel retailing. Within this context the paper focuses on the picking and delivery process for large durable consumer goods, for example, consumer electronics and home appliances with the option of associated installation services at the customer's home as well as store deliveries for click‐and‐collect customers and the short‐term replenishment of store inventory. We develop a decision support model and a general variable neighborhood search‐based algorithm that tackle the problem described by considering the tradeoff between picking and delivery costs while ensuring customers' delivery time windows. The results show the benefits of an integrated solution approach amounting to approx. 13% total cost savings on average, compared to a sequential approach typically applied in retail practice. A case study from an internationally operating omnichannel retailer demonstrates the advantages and applicability of the modeling and solution approach suggested.

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Shared Capacity Routing Problem − An omni-channel retail study

Cited by 43 publications

References 18 publications

Consumer decision‐making in omnichannel retailing: Literature review and future research agenda

Consumer decision‐making in omnichannel retailing: Literature review and future research agenda

Optimal pricing decisions for an omni‐channel supply chain with retail service

Same‐day deliveries in omnichannel retail: Integrated order picking and vehicle routing with vehicle‐site dependencies

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