scholarly journals Fashion retail competition on product greenness with overconfidence

2021 ◽  
Author(s):  
Bayi Cheng ◽  
Yuqi Wang ◽  
Xinyan Shi ◽  
Mi Zhou
Keyword(s):  
Supply Chain ◽  
Comparative Advantage ◽  
Cognitive Bias ◽  
Negative Impact ◽  
Expected Profit ◽  
Retail Competition ◽  
Low Level ◽  
Fashion Products ◽  
Fashion Retail

In this paper, we study the impacts of overconfidence in a competitive retailer setting of green fashion. We model a green fashion supply chain comprising one unbiased manufacturer and two biased retailers, to explore how overconfidence affects greenness level of fashion products and expected profit of retailers. An overconfident retailer has a cognitive bias in which it believes consumers are more sensitive to greenness of fashion products than it really is. Our findings show that the competition between two retailers discourages greenness level of fashion products, while overconfidence can provide a counterbalance to the negative impact caused by competition. We also find, a retailer's overconfidence is not only conducive to the greenness level of its own fashion products, but also can benefit to its rival. Moreover, it shows a low level of overconfidence can be a comparative advantage of the retailer's profit. Even though one of the retailers is unbiased and has an advantage of information, it can still earn less than its overconfident rival.

scholarly journals Quantity Discount Supply Chain Models with Fashion Products and Uncertain Yields

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Hongjun Peng ◽  
Meihua Zhou
Keyword(s):  
Supply Chain ◽  
Nash Equilibrium ◽  
Optimal Level ◽  
Negative Influence ◽  
Expected Profit ◽  
Profit Margin ◽  
Numerical Analyses ◽  
Random Demand ◽  
Quantity Discount ◽  
Fashion Products

This paper explores the quantity discount coordination models in the fashion supply chain with uncertain yields and random demand. The paper proves that, under the independent and noncoordinated decision patterns, there exists a Nash equilibrium between the supplier and the manufacturer which reduces the supply chain's profit margin. In order to achieve the “optimal” centralized supply chain expected profit margin, new quantity discount models have been established. Both the supplier-oriented and the manufacturer-oriented Stackelberg supply chain gaming models are investigated. Our analytical and numerical analyses show that the quantity discount contract proposed in this paper can largely reduce the negative influence brought by the uncertainty of yields and demand. Therefore, the profit margin of supply chains based on quantity discount can reach the optimal level of the supply chain under the centralized setting.

scholarly journals Transformation of the Innovative and Sustainable Supply Chain with Upcoming Real-Time Fashion Systems

2021 ◽  
Vol 13 (3) ◽  
pp. 1081
Author(s):  
Yoon Kyung Lee
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Computer Aided Design ◽  
Production Systems ◽  
Fashion Industry ◽  
Sustainable Supply Chain ◽  
Information Communication ◽  
Manufacturing Planning ◽  
Fashion Products ◽  
Aided Design

Technologies that are ready-to-use and adaptable in real time to customers’ individual needs are influencing the supply chain of the future. This study proposes a supply chain framework for an innovative and sustainable real-time fashion system (RTFS) between enterprises, designers, and consumers in 3D clothing production systems, using information communication technology, artificial intelligence (AI), and virtual environments. In particular, the RTFS is targeted at customers actively involved in product purchasing, personalising, co-designing, and manufacturing planning. The fashion industry is oriented towards 3D services as a service model, owing to the automation and democratisation of product customisation and personalisation processes. Furthermore, AI offers referral services to prosumers or/and customers and companies, and proposes individual designs with perfect styles and measurements using new 3D computer aided design and AI-based product design technologies for fashion and design companies and customers. Consequently, 3D fashion products in the RTFS supply chain are entirely digital, saving time and money with sampling and tracking capabilities, secured, and trusted with personalised service delivery.

Managing the adverse effect of supply chain risk on corporate reputation: The mediating role of corporate social responsibility practices

2021 ◽  
Vol 46 (4) ◽  
pp. 251-261
Author(s):  
Nitya P. Singh
Keyword(s):  
Corporate Social Responsibility ◽  
Supply Chain ◽  
Social Responsibility ◽  
Corporate Reputation ◽  
Negative Impact ◽  
Research Question ◽  
Necessary Condition ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Corporate Social

Within the last decade, research has focussed on corporate social responsibility (CSR) practices as a strategic tool that enables firms to improve stakeholder perception, brand image and corporate reputation. However, one area that remains understudied is the role played by CSR practices in managing corporate reputation under conditions of supply chain risk. To answer this research question, we conduct a literature review and develop the corresponding hypothesis. We test our hypothesis using quantitative analysis of both primary and secondary data collected from organizations dispersed globally. The results highlight that under conditions of supply chain network disruption risk, CSR practices play an important role in enabling firms to manage the negative impact of such risk drivers on corporate reputation. The study further suggests that CSR practices positively impact supply chain risk management (SCRM) practices and are a necessary condition for SCRM practices to be effective in improving corporate reputation of organizations.

Modelling resilient fashion retail supply chain strategies to mitigate the COVID-19 impact

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
P.R.S. Sarma ◽  
Aalok Kumar ◽  
Nishat Alam Choudhary ◽  
Sachin Kumar Mangla
Keyword(s):  
Supply Chain ◽  
Capacity Constraints ◽  
Content Type ◽  
Online Platforms ◽  
Aspiration Levels ◽  
The Future ◽  
Optimisation Model ◽  
Fashion Retail ◽  
Online Stores ◽  
The Impact

PurposeThis paper aims to develop supply chain strategies for the fashion retail supply chain (FRSC), likely to be disrupted by the current pandemic (COVID-19) under physical and online retail stores. The resilient retail supply chain design is proposed under budget allocation and merchandise capacity constraints.Design/methodology/approachThis paper utilises the theory of constraint (ToC) and goal programming (GP) to address the COVID-19 impact on FRSC. The budgetary and capacity constraints are formulated with a constraint optimisation model and tested with six different priorities to deal with the physical and online stores. Next, all priorities are developed under different FRSC business scenarios. The ToC-GP-based optimisation model is validated with one of the Indian fashion retail supply chains.FindingsThe proposed optimisation model presents the optimal retailing strategies for selling fashion goods over physical and online platforms. The multiple scenarios are presented for developing trade-offs among different strategies to maximise the retailer's merchandise performance. This paper also highlighted the strategic movement from high merchandise density stores to low merchandise density stores. This implies a reduction of sales targets and aspiration levels of both online and physical fashion stores.Research limitations/implicationsThe proposed model is validated with one of the fashion retailers in India. Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Practical implicationsThis research helps fashion retail supply chain managers deal with consumer demand uncertainty over physical and online stores in pandemic times. Limitation: Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Originality/valueThis is the first study that considered the impact of COVID-19 on the retail fashion supply chain. The effect of physical and online platforms is mainly discussed from consumer marketing perspectives, but an inventory and resilience perspective is missing in earlier studies. The role of merchandise planning is highlighted in this study.

Deliberation, demobilization, and limited empowerment: a survey study on participatory pricing in China

2018 ◽  
Vol 19 (4) ◽  
pp. 694-708 ◽  
Author(s):  
Xuan Qin ◽  
Baogang He
Keyword(s):  
Negative Impact ◽  
Negative Relationship ◽  
Political Activism ◽  
Specific Form ◽  
Public Deliberation ◽  
Survey Study ◽  
High Quality ◽  
Low Level ◽  
The Past ◽  
Significant Negative Impact

AbstractAuthoritarian deliberation has been used widely to describe the specific form of deliberation developed in China. However, whether its practice will strengthen authoritarianism or lead to democratization remains unknown. In this study, we examine this question from the perspective of participants in public deliberation. Surveying the participants in participatory pricings held in Shanghai over the past 5 years, we find that participants’ perception of deliberative quality has a statistically significant negative impact on their level of political activism, while their level of empowerment has a moderating effect on this negative relationship. In this light, Chinese deliberative practices characterized by high-quality deliberation and low-level empowerment are likely to have a demobilization effect; thus, they reinforce the authoritarian rules.

scholarly journals Implementation of Six Sigma in Supply Chain Management in Industries

2009 ◽  
pp. 141-144
Author(s):  
Himanshu S. Moharana ◽  
J.S. Murty ◽  
S. K. Senapati ◽  
K. Khuntia
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Six Sigma ◽  
Strategic Analysis ◽  
Process Mapping ◽  
Chain Management ◽  
Low Level ◽  
Implementation Model ◽  
High Level ◽  
Level Process

There is increasing concern about implementation failures in six sigma concept in supply chain management. The reason for many Six Sigma programmes to fail is due to an implementation model. Using a successful Six Sigma concept in an industry we have to perform strategic analysis driven by the market and the customer. It is necessary to establish a high- level, cross-functional team to drive the improvement initiative and to identify overall improvement tools. We can perform high-level process mapping and prioritize improvement opportunities. We have to develop a detailed plan for low-level improvement teams, and then to implement, document, and revise as necessary. This is important for both practitioners and academicians.

scholarly journals New Product Presale Strategies considering Consumers’ Loss Aversion in the E-Commerce Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Chongfeng Lan ◽  
Jianfeng Zhu
Keyword(s):  
Supply Chain ◽  
Correlation Coefficient ◽  
Loss Aversion ◽  
Strategic Behavior ◽  
New Products ◽  
New Product ◽  
Service Level ◽  
Expected Profit ◽  
Risk Averse ◽  
Optimal Decisions

New product presale is a strategic behavior of manufacturers to transfer inventory risks to consumers. The research purpose of this paper is to examine the presale discount, inventory, and service level decisions in an e-commerce supply chain, where the first period is the presale period and the second is the selling period for the new product. First, consumers were divided into two types—those who are risk averse and those who are not. Then, considering different presale discounts applied for new products, three presale strategy models were discussed: no-presale strategy, presale strategy with a moderate discount, and complete presale strategy, and the optimal decisions of e-commerce supply chain members were obtained under different valuations of the new product by consumers. Finally, the effects of the correlation coefficient between the numbers of the two types of consumers, the loss aversion degree of consumers, and the marginal profit in the sales period on the optimal discounted price and the maximum expected profit were analyzed. The conclusions of this article show that the presale strategy is not always optimal but depends on the parameters of the market and the type of consumers. For example, when the correlation coefficient between the two types of consumers is high, it is more profitable for the suppliers if they choose the presale strategy with a moderate discount, while e-commerce platforms tend to adopt the no-presale strategy. The optimal discounted price in the complete presale case is not necessarily lower than that in the moderately discounted presale case. If the marginal profit is high in the normal sales period or consumers are less averse to losses, suppliers are more likely to adopt the complete presale strategy. The research conclusions provide some theoretical reference for companies in the development of new product presale strategies in the e-commerce supply chain.

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