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The development of low-carbon production is impeded by the investment costs of green technology research and development (R&D) and carbon emission reduction while facing the uncertain risk of emission reduction investment. With the government's carbon emission constraints, green manufacturers implement the advance selling strategy to increase both profit and reduction level. However, few studies consider the consumer's green preference and emission constraints in advance selling market and spot market independently. The authors' paper investigates the optimal strategies of advance selling pricing and reduction effort for green manufacturers to maximize profits.

The authors' paper designs a stochastic model and investigates the manufacturer's optimal strategies of advance selling price and emission reduction efforts by categorizing different purchasing periods of low-carbon consumers. With the challenges of uncertain demand and government's emission constraints, the authors' develop the non-linear optimization model to investigate the manufacturer's profit-oriented decisions.

The results show the government's carbon constraints cannot influence the manufacturer's profit, but the consumer's low-carbon preference in the advance selling period can. Interestingly, the manufacturer will make fewer reduction efforts even when the consumers have stronger environmental awareness. In addition, the increasing consumer price sensitivity will exacerbate the profit loss from mandatory emissions reduction. Overall, for achieving a win–win situation between emission reduction and profit growth, green manufacturers should not only consider the sales strategies, market demand, and government constraints in a low-carbon market, but also pay attention to the uncertainty of green technology innovation.

With the consideration of the government's carbon emission constraints, uncertain demand, and low-carbon consumer's preferences, the authors' study innovatively incorporates the joint impacts of advance selling strategy and emission reduction effort strategy and then differentiates between two cases that pertain to the diverse carbon emission regulations.

This paper aims to study the joint decision making of advance selling and service cancelation for service provides with limited capacity when consumers are overconfident.

For the case in which consumers encounter uncertainties about product valuation and consumption states in the advance period and are overconfident about the probability of a good state, we study how the service provider chooses the optimal sales strategy among the non-advance selling strategy, the advance selling and disallowing cancelation strategy, and the advance selling and allowing cancelation strategy. We also discuss how overconfidence influences the service provider’s decision making.

The results show that when service capacity is sufficient, the service provider should adopt advance selling and disallow cancelation; when service capacity is insufficient, the service provider should still implement advance selling but allow cancelation; and when service capacity is extremely insufficient, the service provider should offer spot sales. Moreover, overconfidence weakens the necessity to allow cancelation under sufficient service capacity and enhances it under insufficient service capacity but is always advantageous to advance selling.

The obtained results provide managerial insights for service providers to make advance selling decisions.

This paper is among the first to explore the effect of consumers’ overconfidence on the joint decision of advance selling and service cancelation under capacity constraints.

The paper aims to study a strategy of advance selling with part payment (ADP) in which pre-ordering consumers are required to pay a portion of advance price first and then pay the rest in the spot period to complete the order. The authors compare the ADP strategy with strategies of advance selling with full payment (ADF) and no advance selling (NA) from the perspective of sellers.

The paper proposes a two-period pricing model with price-off promotion in the first period for a market consisting of consumers and a single seller. For each strategy (i.e. NA, ADF and ADP), solutions to the seller’s optimal order quantity in the spot period, optimal advance price and prepayment in the advance period are derived by backward conduction. Numerical study is also used to obtain straightforward insights.

Advance price of ADF is lower than that of ADP. Order quantity of ADF is higher than that of ADP. ADP brings more profit than the other two selling strategies, i.e. NA and ADF, when ADP’s implementing conditions are satisfied. While ADF is effective only when unit cost is low, ADP is applicable irrespective of whether the cost is low.

Existing researchers on advance selling mainly focus on the ADF strategy. The paper pays attention to different payment mechanisms in advance selling and steps further to propose a new form of advance selling, i.e. the ADP strategy. The effects of ADP on consumer’s purchasing behavior and seller’s marketing decisions are analyzed.

The purpose of this paper is to study the non‐consumption of a service by advance buyers, the re‐selling of relinquished capacity at spot time and the effect on the pricing of advance and spot demand of services.

The paper employs mathematical economics modeling technique.

The model shows that advance prices are always lower than spot prices due to the non‐consumption effect and also that providing a refund to advance buyers, as insurance against non‐consumption, may be. By modeling in the capacity of the firm, the paper also presents the firm's capacity conditions when the firm does not sell in advance and also when market failure occurs i.e. when the firm does not sell in advance nor at consumption time.

The model does not consider uncertainty in the spot price and assumes a one‐stage optimization. Furthermore, the model extension with refund is numerically derived.

This model informs industry on the significance of non‐consumption of a service and the re‐selling of relinquished capacity. It also highlights the importance of the interaction between capacity and refunds in advance and spot selling.

This paper contributes to extant literature by demonstrating that when heterogeneous demand behavior is explicitly modeled with non‐consumption, capacity and refunds, firms would then be able to understand where and how service revenue is being obtained (higher price or higher demand) and the impact of various sensitivities on revenue.

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 highlight why service firms have difficulty in establishing channels and how transaction costs increase as a result. The paper shows how such difficulties may be overcome a mechanism that uses service capacity strategically.

The paper uses a case study approach, and conducts a transaction cost analysis of the archival data of a cruise line along with the contract between the cruise line and a tour operator.

The results show that service intermediaries aren't able to take inventory and are unable to demonstrate their commitment. Consequently, both parties would be unwilling to establish a contract. However, commitment can be achieved through the intermediary investing in relationship‐specific assets that it could recover, subject to performance. Similarly, the firm could pledge its capacity for its investment in the specific assets. Such a mechanism aligns the interests of both.

This case analyses an actual contract between two service firms and the issues surrounding it.

As contracts and actual company data of this nature are usually confidential, this paper is useful to provide insights into the process of deliberation and formation of service contracts.

A lack of visibility into the manufacturer’s production cost information impedes a retailer’s ability to maximize her own profits, especially when market demand is uncertain. The purpose of this paper is to investigate the use of an option contract within a one-period two-echelon supply chain in the presence of asymmetric cost information.

Based on the principal-agent model, the retailer, acting as a Stackelberg leader, offers a menu of option contracts to mitigate the risk of uncertain demand and reveal asymmetric production cost information. The optimal contract in asymmetric and symmetric information scenarios is derived. Finally, the impact of production costs on the optimal contracts and the actors’ profits is explored by numerical experiments.

By comparing the optimal equilibrium solutions in two scenarios, the authors show that asymmetric cost information has a large impact on the optimal option contract and profits. In addition, information rent is affected by the type differential. The results prove that the level of information asymmetry plays a vital role in option contracts and profits.

Different from the existing literature on private demand information, this paper considers a supply chain with asymmetric cost information in the context of option contracts. Interestingly, not only the production cost but also the probability of a low production cost can affect the option strike price. In addition, from the perspective of the manufacturer, a high cost does not always bring a high information rent. These findings can provide some guidance to decision-makers.

This paper aims to provide advanced market managers in Europe, the USA or Japan with a long-term framework to prepare for and seize emerging market innovation opportunities.

This paper is based on eight years of studying emerging market innovation opportunities, how to prepare for them and how to seize them. This study mainly draws on experiential learning in the automotive sector, particularly in China.

The framework details the strategic co-evolution of advanced market firms, emerging market governments, customers and competitors through four stages of innovation. Emerging markets such as China and India at different stages, depending on the national context of development as well as the particular market context.

This research is primarily based on cases in the automotive sector. Challenging the ongoing assumption of superior advanced market innovation, this paper contributes to insights on the new innovation world order and how to invest in emerging market innovation opportunities.

The framework helps advanced market managers identify the strategic stage they are in, depending on the emerging market context. It provides them with long-term strategic insights, helping them anticipate moves and countermoves by emerging market governments and competitors, as well as anticipate the rapidly shifting needs of emerging market customers.

The four-stage framework brings together advanced market firms, emerging market governments, customers and competitors in a clear big picture. It conditions emerging market success in the even bigger picture of advanced market firms drawing on their learning in emerging markets in stages 3 and 4 to accelerate the renewal of their core business.

The purpose of this paper is to provide a framework for team selling to sports firms that can be used to more effectively select members for sales and CRM teams and improve the performance of teams in attracting and retaining premium seating customers.

The paper provides a two‐stage framework based on the personal selling process and the activities that support CRM programs. Recommendations are guided by the sport marketing and team selling literature streams and by best practices in sport marketing.

The paper recommends the formation of two teams (personal selling and CRM) during the customer relationship cycle and provides guidelines for team member selection based on the critical activities that occur during the personal selling and CRM processes. Key success factors are provided, including the establishment of a customer‐focused organization and effective communication practices among team members and between selling teams.

Although the use of selling teams is gaining popularity in several industries, the broader sales literature lacks research that can support the development and effective management of selling teams. Within the sport marketing literature, there is no research on selling teams. The main academic contribution of the paper is the cross‐disciplinary merging of existing team selling research in the sales literature with current research and industry information on marketing and sales by sport organizations (luxury suite sales). For the practitioner, the framework provides guidance on effective team member selection and best practices for the effective management of selling teams.

Although a significant number of employment fields and categories have followed the trend of increasing the number of minority employees in their profession, professional selling remains a profession dominated by the presence of Caucasian males. Racial minorities and their performance in a professional selling environment have yet to be examined in depth. Understanding why there are so few African‐Americans in professional selling is important. However, analyzing and comprehending what these salespeople accomplish once they obtain professional sales positions should also be of considerable interest, which this paper seeks to examine.

Utilizing a sample of 294 African‐American and Caucasian salespeople, the present manuscript empirically examines a variety of important work‐related perceptions and behaviors, and the performance levels of separate races of salespeople, to determine whether differences exist based on the race of the salesperson.

Results indicate that African‐American and Caucasian salespeople do not exhibit significant differences in terms of their psychological climate perceptions, customer relationship effort, and overall performance. Additionally, the results indicate that racial similarity between the sales manager and the sales representative significantly influences the aforementioned perceptions and performance of salespeople.

Managerial implications suggest that managerial‐level training should be utilized to create sales atmospheres that create equal opportunities for all salespeople. Sales executives will also be able to utilize the results from the present study as evidence that separate races of salespeople appear to be equally qualified to perform the job.