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This study examined the reciprocal influence of demand learning and preference matching in the context of store brand customization. The demand-learning effect refers to the collection of market demand information through production, based on pre-order demands, enabling retailers to accurately predict and allocate product quantities, thus improving inventory management. The preference-matching effect involves engaging consumers in the production and design processes of store brands to align fully with their preferences, thereby increasing the purchase impact of store brand products and promoting consumption.

We employ game-theoretic models to analyze a two-echelon supply chain consisting of a manufacturer and a retailer. The retailer offers both national brands, manufactured by the supplier and in-house store brands. To enhance their competitive edge, the retailer can adopt a customized strategy targeting the store brand to attract a wider consumer base.

The analysis reveals that, under low commission fees, the manufacturer consistently opts for high production quantities, irrespective of the level of demand uncertainty. However, when the perceived value of a store brand is low and demand uncertainty is either low or high, the retailer should choose a minimal or zero production quantity. The decision-making process is influenced by the customization process, wherein the effects of demand learning and preference matching occasionally mutually reinforce each other. Specifically, when the perceived value of a store brand is low, or the product cost is high, along with high customization costs, the interplay between demand learning and preference matching becomes mutually inhibiting. Consequently, the significance of store brand customization diminishes.

This study enhances the current body of knowledge by providing a deeper understanding of the theoretical value of store brand customization. In addition, it offers valuable decision-making support to enterprises by assisting them in selecting appropriate inventory and customization strategies.

The purpose of this paper is to investigate the pricing strategy and the impact of agents' risk preference in a dual-channel supply chain in which both agents are risk-averse.

The authors make use of the mean-variance (MV) method to measure the risk aversion of the agents and apply Stackelberg game to obtain the optimal strategies of the proposed models. Furthermore, the authors compare the optimal strategies with that in the benchmark model in which no agent is risk-averse.

The authors find that the pricing decisions can be divided into four categories according to the risk attitudes of the agents: the decisions that are independent of two agents' risk attitudes, the decisions that depend on only one agent’s risk attitude (i.e. depend on only manufacturer's risk attitude and depend on only retailer's risk attitude) and the decisions that depend on both agents' risk attitudes. In addition, the authors find that the retail price will be lower and the wholesale price in most cases will be lower than that in the benchmark when at least one agent's risk control is effective; the demand will be always increasing as long as one agent's risk control is effective. Furthermore, compared to the benchmark, a win-win strategy (i.e. Pareto improvement) for the supply chain members can be obtained in a certain range where the agents' risk controls are appropriate.

This research provides a theoretical reference for the managers to make the pricing decisions and the risk control in dual-channel supply chains with heterogeneous preference consumers.

With the global spread of environmental education, environmental awareness is becoming increasingly important in daily life and economic activities. Sustainable development, as the most effective development approach to address global climate change, has gradually become a research hotspot in countries around the world. The authors combine sustainable development with supply chain management and incorporate into the study the objective issue of corporate fairness preferences in real society to explore the pricing and product greenness decision problem of a secondary sustainable supply chain consisting of a manufacturer producing green products and a retailer selling green products. In particular, the authors explore how supply chain decisions change when both the manufacturer and the retailer focus on fairness and how this fairness behavior affects pricing and product greenness decisions in sustainable supply chains.

The authors consider that the manufacturers' greening efforts lead to expanded demand at the retail end. Upstream and downstream firms in the supply chain have preferences for the fairness of transactions. The impact of the fairness behavior of upstream and downstream firms in the supply chain on supply chain decisions is explored by building a Stackelberg game model.

The results of this study show that the fairness concern behavior of manufacturers and retailers in the supply chain has an impact on product greenness, product pricing and corporate profits.

This study on the fairness concern behavior of supply chain firms integrates behavioral economics and supply chain management. First, the authors consider the equilibrium problem of supply chain members in the centralized channel when there are no fairness preferences. Second, the decision problem of firms in the decentralized channel when fairness is considered and when fairness preferences are not considered is explored. The authors compare these three cases to derive the corresponding propositions. Finally, the authors verify the previous conclusions and draw other conclusions using arithmetic analysis.

The purpose of this paper is to examine whether preference toward in‐group members can serve as opportunism governance in channel relationships in a collectivist culture. This study proposes a model of opportunism incorporating in‐group preference and trust as antecedents of opportunism. Based on Transaction Cost Economics and Social Exchange Theory, transaction‐specific investment and relationship length are employed in the model as confounding variables of in‐group preference for opportunism and trust.

Data were collected from 109 Korean department store buyers and analyzed using Structural Equation Modeling (EQS 6.0).

The results showed that buyers' in‐group preference increased buyers' trust toward suppliers and decreased suppliers' opportunistic behavior. Buyers' increased trust toward suppliers was found to reduce suppliers' opportunistic behavior. Further, Trust was significantly influenced by supplier TSI, but not by length of relationship. On the other hand, opportunism was significantly influenced by length of relationship, but not by supplier TSI.

This study examined only the positive side of in‐group membership. Some criticisms of in‐group preference are favoritism, interference with fair competition, and collective blindness, any of which might decrease the efficiency of business operations. These impacts should be examined to gain a balanced view of the implications of in‐group preference in business settings.

Multinational companies should understand that in‐group membership is an important source of building trust and oppressing opportunism in the Korean market. Multinational companies can strategically approach in‐group members of business partners to become members of those in‐groups.

This is the first empirical study to examine collectivists' tendencies toward in‐group preference as opportunism governance.

This paper analyzes the advance selling and pricing strategies of fresh products supply chain where the e-retailer provides wholesale contract or agency contract to the fresh products supplier.

This paper constructed a two-period sequential-move game of fresh products supply chain members.

This analysis showed that the supply chain members had different preferences for contracts under different market conditions. The advance selling of fresh products was not a decision of the seller, but also required the support of other supply chain members. And the advance selling strategy was not always beneficial to all supply chain parties. Under the two contracts, there were market conditions in which the profits of supply chain members were Pareto-improved through the implementation of advance selling.

The model presented in this study focuses solely on the context of monopoly, overlooking the competition from alternative suppliers or retailers. Consequently, exploring the competitive landscape within the fresh products supply chain, particularly in relation to pre-sale pricing, emerges as a crucial avenue for further investigation. By employing empirical research methods, valuable insights are gleaned, thereby significantly augmenting the existing body of relevant theories.

The decision to pre-sell fresh products should be based on market conditions. Supply chain members can control production costs and fresh products circulation losses to maximize profits.

From the perspective of game theory, this study analyzed the optimal advance selling and pricing strategies of fresh products supply chain members under two kinds of contracts. These results can provide practical implications for fresh products suppliers and e-retailers.

The purpose of this paper is to address the globalisation/culture issue by comparing two Asian countries in which there has been limited prior research regarding their respective supermarket industries, namely, Singapore and Malaysia.

The research design adopted a case-study approach, with two general cases (the New Singaporean and Malaysian supermarket retail industries), made up of two embedded cases each (retailers and manufacturers operating within each country).

The overall finding is that despite prior assumptions that suitability is reliant on product type or country choice, there are a number of sales promotion techniques that are inherently suited to the supermarket industry as a whole. The majority of these “inherently suitable” techniques are price-based and the conclusion is then that these techniques can be used globally. Value-added techniques, on the other hand, should be localised to fit with the market in which they are being applied.

Tools best suited to the grocery product sales environment appear to be price-based or linked to price reductions (i.e. price discounting and discount-linked point-of-purchase (P-O-P) or end-of-aisle (E-O-A) displays combination and volume offers), suggesting that those tools which are inherently suitable to the industry are likely to meet retailers' shorter-term objectives rather than manufacturers' longer-term ones. The difficulty faced by manufacturers, then, is aligning their sales promotion objectives with the tools that are best able to achieve results in the supermarket environment.

Globalisation of the supermarket industry has also meant that marketers continue to need a better understanding of cross-cultural issues and their effect and national culture frameworks can be used to develop marketing theories which are suited to a particular region. The current research identifies preferences for different sales promotion techniques in the two nationally similar, yet ethnically diverse, countries under study, as well as examining application of these techniques in the retail environment.

The aim of this study was to analyze the effects of carbon reduction efforts and preservation efforts on system benefits in the cold chain industry of fresh products.

This study develops an optimal decision game model for the fresh products in the cold chain, incorporating the retailer's preservation effort and the supplier's carbon emission reduction effort. It quantifies the relationship between carbon emission reduction effort, preservation effort and system profit. The model considers parameters like carbon trading price, consumer low-carbon preference and consumer freshness preference, reflecting real-world conditions and market trends. Numerical simulations are conducted by varying these parameters to observe their impact on system profit.

Under the carbon cap-and-trade policy, the profit of the fresh cold chain system is higher than that of the fresh cold chain system without carbon constraints, and the profit of the supplier under decentralized decision-making is increased by nine times in the simulation results. The increase in carbon trading prices can effectively improve the freshness level of fresh products cold chain, carbon emission reduction level and system profit.

This study comprehensively considers the factors of freshness and carbon emission reduction, provides the optimal low-carbon production decision-making reference for the fresh food cold chain and promotes the sustainable development of the fresh food cold chain.

This paper aims to investigate the impact of retailer innovation investment and its spillover’s effect on competitive dual-channel supply chain pricing and optimization strategy, and explore the coordination mechanism considering decision maker’s bargaining ability.

The Cournot and Stackelberg game methodology are made use of for the duopoly decentralized and joint decision-making model. The bargaining theory with different negotiation ability was used to analysis the coordination mechanism. Then this paper validates the model by simulation techniques.

The results enlightened some interesting facts, the increase in innovation demand coefficient spur rise in channel pricing, innovation investment level, supply chain profit and consumer welfare. The rise in innovation spillover coefficient leads to increase in online channel pricing, supply chain profit and consumer welfare. Due to the innovation spillover effect, retailer has to maintain channel competitiveness either through low price or high innovation investment strategies. In addition, online channel pricing, supply chain profit and consumer welfare in joint decision-making scenario is greater than that of decentralized decision-making scenario, while the difference in retailer channel pricing depends on parameters value. The increase in retailer’s joint negotiation factor leads to decrease in channel pricing and innovation investment level. Furthermore, there existence of an optimal innovative investment cost sharing proportion threshold indicates the achievement of dual-channel supply chain coordination. A refinement equilibrium can be achieved through Robinstein bargaining game. A larger interest discount factor leads to decrease in profit.

The research provides a theoretical reference for dual-channel supply chain pricing and coordination strategy under channel competition environment. The research can develop innovative investment strategies for retailers and implement response strategies for manufacturers.

Despite mature consumers' monetary power and their growing share of many product markets, research especially on mature women's buying behaviour and attitudes is still scarce. The purpose of this paper is to explore and analyse mature women's buying of clothes.

The empirical material consists of observations made in a department store and of interviews with a sample of ten Finnish women aged 50 to 63 years.

The study yielded empirically grounded elements of mature women's buying processes: the need for clothing, fashionability, clothing fit preferences, brand preferences, retailer preferences, shopping style, and price. Based on an analysis of the findings a new model of mature women's buying patterns was developed.

Albeit limited in size, the study provides a starting point for further research on mature women as well as on buying clothes in general.

Based on the found preferences, the study offers useful suggestions to clothing designers, manufacturers, retailers, and marketers on how to target mature women more effectively.

The paper opens up a hitherto neglected research topic by presenting empirical findings and a model specifically developed based on mature women's garment buying processes.

In the context of increasing competition between chained retailers and family-owned retailers, it is key to understand the customer's format choice. Using a logistics regression (i.e., binary logit) model, we explain customers' preference to buy in supermarkets or in small-scale, mom-and-pop stores like nanostores. We collect a representative sample of over 110 surveys from customers in the district of Surco, Lima, Perú, which is a representative area of the features of Lima's residents. We asked customers to focus on analyzing their preference between two retail formats: modern channel (i.e., big-box retailers, supermarkets, and hypermarkets) and traditional channel (i.e., mom-and-pop stores, nanostores). Our surveys included factors pertaining retail format attributes as well as factors related to the purchasing process. The results showed that time available for purchase and a comparatively better perceived service at a mom-and-pop store (i.e., nanostore) are significant factors that explain a higher probability of selecting these retailers, while a better store's ambience benefits more supermarkets. The overall discrete choice model is able to explain 65% of the variance using pseudo R-squared of the actual format choice decisions.