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The paper investigates firms' optimal pricing policies and green strategies in a dynamic green supply chain with consideration of different retail service strategies. The purpose of the paper is to address the following research questions: (1) What are the optimal pricing policies and green strategies of the dynamic decentralized supply chain with the competitive or supportive retail service? (2) How does the dynamic consumer's perception of green product affect these equilibrium solutions?

The paper establishes the dynamic game models and then derives a firm's instantaneous and steady-state feedback equilibrium solutions in three scenarios as follows: (1) the integrated supply chain; (2) the decentralized supply chain with competitive retail service and (3) the decentralized supply chain with supportive retail service. Finally, we conduct numerical analyses to compare the firm's instantaneous and steady-state equilibrium solutions and profit in the three scenarios.

The theoretical and numerical analysis results suggest that the supportive retail service is less inefficient than the competitive retail service in the decentralized supply chain and that the types of retail service have no influence on the green strategy. Moreover, a firm's myopia leads to lowering the greenness degree, retail service level and severe price competition, resulting in economic losses. Consumers’ initial perception of greenness degree determines whether the retailer should adopt the skimming pricing strategy or penetration pricing strategy. Furthermore, only when consumers’ perception of greenness degree is higher than a threshold, will the manufacturer produce green product with positive greenness degree.

This is one of few studies on the effect of different types of retail service on horizontal competition in green supply chain. The extension of the static study by adopting differential game approaches provides researchers with a deeper understanding of the application of retail service in green supply chain.

Information technology (IT) and, in particular, the Internet is dramatically impacting on the services sector. This paper specifically investigates the relative impact of several forms of Internet use on perceived performance for two groups of service organisations – retail service firms and professional health service firms. Using a mailed‐out self‐administered questionnaire, 625 completed questionnaires were obtained, and 43 per cent of respondents reported that they used the Internet. Thus the final usable sample in the study comprised 262 respondents. Results showed that the Internet does significantly influence perceived performance in both types of service firms. However, there are differences in the forms of Internet use between the two service groups and their relative effect on performance. For retail firms, use of transactional function, such as ordering, selling and payment, was found to be positively related to increases in perceived performance. In contrast, for professional health service firms, the ability to search for information on products and/or services was found to be positively associated with perceived performance. Finally, theoretical and managerial implications of the findings of this study are discussed.

More and more firms are utilizing social media as a distribution channel to sell products. By establishing business accounts on social media firms provide information service to strengthen their relationship with customers and boost sales. The purpose of this paper is to investigate the pricing, information service provision and channel strategies of firms who sell products through social media.

The authors use a game theoretical model to study a dual-channel supply chain consisting of one manufacturer and one retailer. Two scenarios are considered – under one scenario the manufacturer and under the other the retailer, respectively, solely provides information service. Both firms’ pricing decisions and profits are compared.

The authors find that in the dual-channel model with either the manufacturer or the retailer providing information service to enhance the demand: a firm that has stronger social ties with customers is willing to provide more information services; when the manufacturer provides information service, it charges a direct price higher than the wholesale price, and whether the direct-channel price exceeds the retail price depends on the strength of the manufacturer’s social ties with customers; when the retailer provides information service, the direct price is equal to the wholesale price, both lower than the retail price; and a firm always prefers itself rather than the other firm to provide information service. However, the whole supply chain is better off if the manufacturer rather than the retailer provides information service.

Besides the relationship between firms and customers, the peer relationship among customers also impacts the supply chain performance, which might be studied in the future.

The study is novel in theoretically exploring the influence of firms’ social relationship with customers on firms’ pricing and channel strategies.

This research explores anticipated long-term change in the retail and services marketplace, directly arising as a result of the Covid-19 pandemic.

A series of 20 in-depth interviews were conducted with retail and service stakeholders (executives, suppliers and thought-leaders) from across Asia-Pacific (New Zealand and Australia), the United Kingdom, Europe and the United States.

We identify six guiding principles for long-term change in the retail and services sector required to guide future business development and practice, including embedding new ways of working, rethinking the role and purpose of physical space, prioritizing digital elements, integrating employees in community, building agile supply and planning for future turbulence.

The Covid-19 pandemic is different from prior disruptive experiences in that it was a sudden shock to business and was collectively experienced by firms, workers and consumers across the globe. This research provides a view of decision-makers’ sensemaking and anticipated changes impacting the future retail and services marketplace.

Crisis response has emerged as a salient concern for firms in the onset of COVID-19. While research suggests that resilience is critical during such disruptions, there remains a need to examine how firms build resilience during evolving situations. This study focuses on resiliency created through operational flexibility and examines how firms developed resiliency to COVID-19 through an adaptation of three technology-based levers of flexibility: change in a firm's product and service offerings, the channel it uses for sales and the location of a firm's workforce.

This study uses a unique cross-sectional dataset generated from a survey administered by a reputable financial institution, from March 20 to June 20, during the inception of COVID crisis. This study uses ordinary least squares to analyze data from 6,076 firms across 20 countries.

Results indicate that flexibility through a combination of a change in a firm's product and service offerings, with movement to selling through a digital channel, had a positive impact on firm sales. However, flexibility through a combination of change in product and service offerings with workforce location changes had negative impacts. Robustness analysis indicates that negative impacts worsen in countries with higher digitization and in manufacturing and retail firms as compared to service firms, indicating the inflexibility of physical goods–based business models. Results highlight dimensions through which technology-based flexibility can take place and the benefits of flexibility on firm performance.

This study provides managerial insights into technology-based operational flexibility mechanisms that can be employed for building performance resilience during unexpected disruptions. Research findings inform firms facing supply chain challenges and inflation pressures of business today.

The convenience of online shopping enables the manufacturer to develop direct channels. To counter manufacturer encroachment, the retailer tends to provide presale service to attract more customers. Meanwhile, the service provided by the retailer also has a positive impact on the manufacturer's sale volume, which is usually called the showrooming effect or free-ride. The purpose of this paper is to explore the dynamic game of pricing and service strategy in a dual-channel supply chain with risk attitudes and free-ride.

This paper considers the risk attitude, characterized by mean-variance theory. First, the optimal pricing and service strategy of two static models under two scenarios are derived. Second, dynamic games are then considered to explore the evolution of the decisions. The classical optimization method is used to solve the problem, and numerical experiments are done to analyze the complex characteristic of the system.

The result shows that the retailer is willing to provide a higher level of service if his risk preference is higher. The offline retail price and online retail price are positively related to the retailer's risk preference. Besides, the free-ride behavior can reduce the offline retail price and the level of service provided by the retailer. Furthermore, the study indicates that the system is more likely to enter chaos if the retailer's risk preference is higher. Additionally, consumers' service sensitivity and cost coefficient affect the stability of the system.

The study provides a different perspective on supply chain management considering risk attitudes and free-ride The findings of the study can offer theoretical and practical guidance for enterprises to choose adjustment measures according to their risk preference.

This study aims to identify the impact of mobile payment on firm performance by developing a model based on the technology, organization and environment framework (TOE framework) including relative advantage, complexity, compatibility, innovativeness, mobile payment knowledge, critical mass, competitive pressure and external support.

The data were collected from the retail and service firms in Bangkok, Thailand (n = 387). Multiple regression analysis was applied to test the proposed model and carried out in SPSS version 25.

The results indicated that the TOE factors, including relative advantage, innovativeness, mobile payment knowledge, critical mass, competitive pressures and external supports, can predict firm performance. While innovativeness is the strongest predictor of positive firm performance, on the other hand, critical mass is found to be negatively significant on firm performance.

This research suggests that firms that accept mobile payment can identify the positive impact on firm performance and it is important for payment service providers and the government to work closely with firms.

As some merchants still refuse to implement mobile payment services in their business, this current study seeks to understand the impact of mobile payment. However, not many studies are reported its impact in Southeast Asia. This study is probably the first in Thailand to examine the impact of mobile payment on firm performance in the retail and service firms.

This paper analyzes county-level firm births across the United States using a spatial count model that permits spatial dependence, cross-correlation among different industry types, and over-dispersion commonly found in empirical count data. Results confirm the presence of spatial autocorrelation (which can arise from agglomeration effects and missing variables), industry-specific over-dispersion, and positive, significant cross-correlations. After controlling for existing-firm counts in 2008 (as an exposure term), parameter estimates and inference suggest that a younger work force and/or clientele (as quantified using each county’s median-age values) is associated with more firm births (in 2009). Higher population densities is associated with more new basic-sector firms, while reducing retail-firm starts. The modeling framework demonstrated here can be adopted for a variety of settings, harnessing very local, detailed data to evaluate the effectiveness of investments and policies, in terms of generating business establishments and promoting economic gains.

The purpose of this paper is to demonstrate spill‐over effects from customer perceptions of trust in and satisfaction with a brand to customer evaluations of a retailer and, ultimately, repurchase intentions.

A conceptual model is developed and tested using structural equation modeling. Specifically, recent procedures for assessing direct and mediated effects are adoped.

The findings demonstrate that customer trust in and satisfaction with a retailer mediate the effects of brand trust and satisfaction on customer repurchase intentions.

This research provides a preliminary examination of the relationship between brands, retailers, and consumers. The results suggest that halo effects exist between customer perceptions of brands and retailers. Future research could attempt to discern how this transference from brand to retailer occurs and replicate these findings in other industries or product types.

The findings suggest that managers must realize that perceptions of brands are transferred to the retailers that carry these products. However, in order for customers to return, a retailer must satisfy them and earn their trust, since the effects of brands are indirect.

This paper extends findings of transference in retail service settings by demonstrating that customer evaluations of brands can spill over and influence customer perceptions of a retailer.