Inventory Share Policy Designs for a Sustainable Omni-Chanel E-Commerce Network

İzmirli, Damla; Ekren, Banu Yetkin; Kumar, Vikas

doi:10.3390/su122310022

Cited by 19 publications

(12 citation statements)

References 32 publications

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“…Stressed taking advantage of the omnichannel distribution and fulfillment network to enhance customer experience. Retailers that adopt fulfillment strategies are able to exceed centralized distribution, reduce back orders and ensure that products are available across different channels [40]. Indicated the importance of unified omnichannel strategy in fostering relevant brand experience.…”

Section: Omnichannel Customer Experiencementioning

confidence: 99%

Factors Effecting Omnichannel Customer Experience: Evidence from Fashion Retail

Riaz

Baig

Meidutė‐Kavaliauskienė

et al. 2021

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This research work was designed to investigate the changing dynamics of the retail landscape driven by omnichannel retailing, and to determine the effects on the omnichannel customer’s experience. The role of omnichannel customer behavior in the relation between omnichannel retailing and customer experience was assessed through a survey of 265 omnichannel customers of different fashion retail brands in Pakistan. The results of partial least squares structural equation modeling (PLS-SEM) showed a strong mediating effect of omnichannel customer behavior in channeling the drivers of omnichannel retailing towards an enhanced customer experience. Omnichannel retailing helps to enhance the customer experience via determinants of omnichannel integration, order fulfilment, usability and seamlessness. The research findings underpin the positive significant effect of all factors of omnichannel retailing on the customer experience. Among the four omnichannel retailing constructs, seamlessness emerged as a major direct and indirect contributor, followed by omnichannel integration and usability dimensions. Notwithstanding the small sample size, this research contributes to the omnichannel retailing landscape of Pakistan’s fashion retail industry by suggesting a functional approach for creating a fully integrated shopping experience and omnichannel strategies for fashion brands. Furthermore, it will also provide brands an opportunity to strengthen their customers’ experience throughout the buying channel.

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Section: Omnichannel Customer Experiencementioning

confidence: 99%

Factors Effecting Omnichannel Customer Experience: Evidence from Fashion Retail

Riaz

Baig

Meidutė‐Kavaliauskienė

et al. 2021

Information

View full text Add to dashboard Cite

show abstract

“…Interestingly, some novel supply chain strategies have been implemented to reduce these barriers. For example, Izmirli et al (2020) proposed an inventory share policy to address demand uncertainty. Moreover, product postponement and vendor-managed inventory practices have improved the supply chain system's flexibility in managing market uncertainty and reducing supply chain emissions (Ugarte et al, 2016).…”

Section: Cluster 5 (Purple): Barriers To Lcscmentioning

confidence: 99%

Visual analysis of low-carbon supply chain: Development, hot-spots, and trend directions

Luo

Huang

Bai

2022

Front. Environ. Sci.

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A low-carbon supply chain is generally a clean practice to achieve carbon peak and neutralization; it transforms supply chain management into a green economy, aiming to reduce energy consumption, reduce pollution and achieve sustainable development in all parts of the supply chain. However, there are few specific reviews of low-carbon supply chains to date. Therefore, this article provides a comprehensive analysis of the literature on low-carbon supply chains, explores the current knowledge system, evolution trend of topics, and future research directions, and enriches the green economy framework. A systematic analysis was conducted using bibliometric and content analysis. Up to 1,811 articles from 2003 to 2021 were selected, discussed, and analyzed. This study found that the low carbon supply chain is a growing research topic. Some influential authors, the geographical distribution of articles, and subject categories in this field were also identified. Next, five clusters, which are logistics management, carbon accounting, driving forces, sustainability management, and barriers, were defined using exhaustive content analysis. The evolution trend of significant topics, mainly including global value chain, additive manufacturing, deterioration, and decarbonization, was explored. Finally, we proposed a future research agenda for low-carbon supply chains and further deepened the green economy’s knowledge structure.

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“…In formula (5), B(x, y) represents the value of the objective function to measure the imbalance of cross-border e-commerce supply, b ij represents the function value of retailers in the distribution center to minimize the objective function, and V e represents the individual adaptability of the distribution center in the original location. When it is greater than 0, B(x, y) indicates that the supply of the cross-border e-commerce supply chain node is unbalanced, and it is difficult for the node to effectively provide logistics services.…”

Section: B(x Y) � 􏽘mentioning

confidence: 99%

“…is paper aims to design a sustainable food supply chain network for cross-border e-commerce food companies by employing the horizontal inventory sharing strategy and accounting for the existence of strategic alliances between the organizations, reducing food waste and backlogs to create a network that is more sustainable. Reference [5] proposes an inventory sharing strategy design for a sustainable omnichannel cross-border e-commerce network. By pursuing an e ective integration strategy for online and o ine retailers, the entire supply network can reduce costs, lessen the environmental impact of shipments from the main warehouse, and improve its responsiveness.…”

Section: Introductionmentioning

confidence: 99%

A Cross-Border e-Commerce Cold Chain Supply Inventory Planning Method Based on Risk Measurement Model

Liu¹

2022

Mobile Information Systems

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Inventory planning results are less reliable when the statistical problem of supply chain risk factors is not considered. In conjunction with the risk measurement model, a cross-border e-commerce cold chain supply inventory planning method is proposed to effectively address the aforementioned issues. This paper aims to define the fundamental elements of the supply chain network, determine the supply chain's imbalance range, and develop a risk measurement model and also to calculate the ordering cost and storage cost, the storage cost, the cross-border e-commerce imbalance index based on the risk measurement model, the node imbalance, the dynamic programming algorithm for the imbalance node, and the identification method for the cross-border e-commerce supply chain imbalance node. Taking inventory strategy into account, the optimization model of distribution node location and the node importance evaluation system are developed. The planning of cold chain supply inventory for cross-border e-commerce is studied based on an optimized management inventory. The experimental results indicate that the throughput of the research method is between 1000 and 2500 Mbps, that the overall fluctuation range and delay are small, and that the inventory turnover rate has been significantly increased, thereby satisfying the requirements of engineering materials inventory management.

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Inventory Share Policy Designs for a Sustainable Omni-Chanel E-Commerce Network

Cited by 19 publications

References 32 publications

Factors Effecting Omnichannel Customer Experience: Evidence from Fashion Retail

Factors Effecting Omnichannel Customer Experience: Evidence from Fashion Retail

Visual analysis of low-carbon supply chain: Development, hot-spots, and trend directions

A Cross-Border e-Commerce Cold Chain Supply Inventory Planning Method Based on Risk Measurement Model

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