Retail Supply Chain Management

Ayers, James B.; Odegaard, Mary Ann

doi:10.1201/9781420013757

Cited by 16 publications

(15 citation statements)

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“…Thus, the results of the experiments showed that the significant control factors are the factors "Optimization of work with suppliers" and "Expansion of the range", to which management needs to pay priority attention. Thus, cognitive modelling and its implementation illustrate the dependence of network performance on many factors and confirms that in order to obtain sound management decisions to stabilize the state of such a system need to form subjective models of problems, analysis which helps to increase the level of sound recommendations needed to support management decisions [26], [27], and [28]. The obtained simulation results show that the situational approach in the form of cognitive models provides an opportunity to provide effective structural transformations in the management system of retail networks of Drogerie-format [29], [30], [31].…”

Section: Resultsmentioning

confidence: 79%

Application of Cognitive Modelling for Operation Improvement of Retail Chain Management System

Dankeieva¹,

Solomianiuk²,

Strashynska³

et al. 2021

TEM Journal

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The purpose of the study is to implement cognitive modelling of the retail chain management system to ensure the effectiveness of management decisions in order to implement structural changes in its activities. It is determined that the organization of retail chain management is more effective due to provided principles of a systematic approach which are applied. Therefore, using the concept of Balanced Scorecard (BSC) in this study, which reflects the interaction and interdependence of structural units, which is feasible, we propose it to further search for development scenarios for the retail chain management. The article presents a sequence of cognitive modelling, which consists of seven main stages. Drogerie - format management system of retail chains has been chosen since it has recently been standing out by its popularity with consumers among other formats, as an object for the study. The results of this study can be useful for enterprises and organizations with complex systems that are characterized by hierarchical, network relationships between subsystems or where random processes take place.

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Section: Resultsmentioning

confidence: 79%

Application of Cognitive Modelling for Operation Improvement of Retail Chain Management System

Dankeieva¹,

Solomianiuk²,

Strashynska³

et al. 2021

TEM Journal

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“…Any discordant link in the chain would dissatisfy customers and sometimes cause product/service return. In order to be more competitive, online retailers have to provide excellent products in the right place, at the right time, with the right cost (Ayers and Odegaard, 2008), as well as incorporate other considerations such as good packaging, fast logistics delivery, nice after-sale service and so on.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of customers' return behaviour after online shopping in China using SEM

Lin

Lee

Siu

et al. 2020

IMDS

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PurposeThe purpose of this paper is to examine the potential impacts of various variables on product return activities after online shopping. Previous studies on customer behaviour have been predominantly concerned with return on used products and other product-quality-related constructs in the model. This study aims to specially examine the logistics service-related and customer intention–related variables for general products under the e-commerce circumstance.Design/methodology/approachStructured questionnaire data for this study were collected in the two southeast cities of China (162 useable responses). Structural equation modelling was used to examine the latent variables.FindingsThe results confirmed that product return intention has the greatest impact on online shopping returns with a direct effect of 0.63, followed by the flexibility in return (logistics service) with a direct effect of 0.49.Originality/valueSuch a model not only enriches the theoretical understanding of customer behaviour studies but also offers online shopping stores and platforms a quantitative benchmark and new perspective on the design of online shopping supply chains by considering product returns so as to improve the customer satisfaction.

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“…Firms usually contemplating strategies to increase their responsiveness to customer needs by offering product variety with quick response, minimum lead-time and minimum inventory. The general elements of competitive strategy (Ayers and Odegaard, 2008)…”

Section: Establishment Of Competitive and Supply Chain Strategiesmentioning

confidence: 99%

Supply chain design through QFD-based optimization

Prasad

Subbaiah

Rao

2014

Journal of Manufacturing Technology Management

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Purpose – The purpose of this paper is to demonstrate a methodology to design a supply chain with a view to achieve a strategic fit between competitive and supply chain strategies. Design/methodology/approach – Quality function deployment (QFD)-based optimization methodology is employed to design a supply chain for a product through aligning the competitive and supply chain strategies. Normal boundary intersection (NBI) method is adopted to obtain optimal weights of the supply chain design objectives. Weighted additive model is developed for multi-objective optimization. Utility-based attribute function, which structure the relationship between the elements of competitive and supply chain strategies is established. The utility functions and the information contained in the House of Quality (HOQ) of QFD are used to define the supply chain performance (SCP). Findings – SCP index is computed using the set of supply chain design objectives obtained by solving the weighted additive model. On the basis of SCP index, the supply chain activities are planned accordingly. An illustrative example is presented in this paper to describe the QFD-based optimization methodology for designing a supply chain. Originality/value – QFD-based optimization is a novel approach to design a supply chain with a focus on aligning competitive and supply chain strategies.

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Retail Supply Chain Management

Cited by 16 publications

References 0 publications

Application of Cognitive Modelling for Operation Improvement of Retail Chain Management System

Application of Cognitive Modelling for Operation Improvement of Retail Chain Management System

Analysis of customers' return behaviour after online shopping in China using SEM

Supply chain design through QFD-based optimization

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