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This paper investigates the dynamic pricing strategy of a firm for the successive-generation products under the conditions of the limited trade-in duration and strategic customers. Further, it explores the effect of a limited trade-in duration on the choice of the myopic and strategic customers, besides the optimal dynamic pricing and trade-in strategy of the firm.

Based on the choice behavior of the myopic and strategic customers, the authors have developed a two-period game-theoretic analytical model to decide the optimal retail prices of the successive-generation products and the optimal trade-in rebate when the firm adopts a dynamic pricing strategy and then investigate three extensions of the basic model to discuss the change in the results owing to the relaxation of certain conditions.

The authors find from the results that, in terms of profit maximization, it is better to extend the limited trade-in duration, and hence, the firm should implement a dynamic pricing strategy. However, in the situation of using a static pricing strategy, the firm should extend the limited trade-in duration only if the incremental value of the new generation products is below a certain threshold. Moreover, the firm should use a dual rollover strategy instead of a single rollover one. If all customers in the market are myopic, then the firm should also extend the limited trade-in duration.

This study mainly discusses the impact of limited trade-in duration on the firm's dynamic pricing strategy when facing strategic customers, which provides several directions for future research. First, if the government offers subsidies to consumers, how will strategic consumers make purchase decisions? How would the enterprise make its pricing decision? Second, when asymmetric information exists between consumers and firms, how will it affect consumers' choice behavior and firms' pricing decisions? All these issues are worth exploring in the future.

These results offer certain managerial insights for the firm in the decision making on pricing within the trade-in program.

This is the first work to study the dynamic pricing strategy of the firm for the successive-generation products under the conditions of the limited trade-in duration and strategic customers. Further, this work discusses the changes in results owing to the relaxation of certain conditions.

Using information systems via data mining and cluster analysis technologies, consumers' strategic behaviour can be measured, and their patience levels can be accurately described. This paper investigates the retailer's pricing and ordering policies when facing strategic consumers with different levels of patience and discusses the impacts of consumers' patience levels and proportions on retailers' maximum expected profits.

By cluster analysing transaction data on the number of websites visited, browsing time and purchase decision time, consumers' patience levels can be obtained. The authors formulate a newsvendor model considering customers' different patience levels. Three scenarios are investigated: two segments of consumers with two different levels of patience (Scenario I), multiple segments of consumers with different levels of patience (Scenario II) and a continuum of consumers whose levels of patience follow a continuous distribution (Scenario III). Then, general formulas are deduced for retailers' optimal prices, ordering quantities and profits.

Under Scenario I, if the proportion of less patient consumers is greater (less) than a threshold, the retailer's optimal price is equal to the less (more) patient consumers' reserve price. Under Scenario II, once the proportion of fully strategic consumers exceeds a certain threshold, the retailers' optimal price is equal to the fully strategic consumers' reserve price regardless of consumers' patience levels and proportions. Under Scenario III, the retailer's pricing and ordering policies depend on the distribution of their patience level.

Few studies have considered consumers' different levels of patience when making retailer pricing and ordering decisions. In this paper, strategic consumer behaviour is measured, and consumers' patience levels and proportions are obtained by cluster analysing consumer transaction data recorded by an information system. Three scenarios in which strategic consumers may be heterogeneous and have different patience levels are investigated. The results can guide retailer decision-making.

The development of the digital age has made data and information more transparent, enhancing the strategic perspectives of both buyers (strategic waiting) and sellers (price fluctuations) in their decision-making. This research investigates the optimal dynamic pricing strategy of the content product developer in relation to their consideration of consumer fairness concerns to elucidate the impact of consumer fairness concerns on the dynamic pricing strategy of the developer.

This paper assumes that monopolistic content developers implement a dynamic pricing strategy for the content product. Through constructing a two-period dynamic pricing game model, this research investigates the optimal decisions of the content developer, contingent upon their consideration or disregard of consumer fairness concerns. In the extension section, the authors additionally account for the influence of myopic consumers on these optimal decisions.

Our findings reveal that the degree of consumer fairness concerns significantly influences the developer’s optimal dynamic pricing decision. When a developer offers content products with lower depth, there is a propensity for the developer to refrain from incorporating consumer fairness concerns into a dynamic pricing strategy. Conversely, in cases where the developer offers a high-depth content product, consumer fairness concerns benefit the developer. Furthermore, our analysis reveals a consistent benefit for the developer from the inclusion of myopic consumers.

Few studies have delved into the conjoined influence of consumer fairness concerns and strategic behavior on dynamic pricing strategy. Our findings indicate that consumer fairness concerns can enhance the efficiency of the value chain for content products under specific conditions. This paper not only enriches the existing literature on dynamic pricing by incorporating consumer fairness concerns theoretically but also offers practical insights. The outcomes of this research can guide content product developers in devising optimal dynamic pricing strategies.

This study aims to examine the influence of institutions and technology on value co-creation outcomes. These outcomes include strategic benefits, value-in-context and novel operant resources. The problem in this study is analyzed based on the perspective of service-dominant logic or the service ecosystem.

Primary data collection was carried out using a questionnaire through an online survey. All indicators are measured using a seven-point Likert scale. The exploratory factor analysis technique was applied to test the construct validity. We obtain data from 358 McDonald's restaurant consumers. Furthermore, nine hypotheses were tested using simple and multiple linear regression.

The results of this study proved that the nine proposed hypotheses were not rejected. Technology has been shown to significantly influence institutions, and both institutions and technology have also been shown to influence strategic benefits. Furthermore, institutions, technology, strategic benefits and novel operant resources are shown to influence value-in-context. Finally, institutions and technology are proven to influence novel operant resources.

The research focused solely on the fast-food restaurant sector of Indonesia, and thus, the results may not be applicable to other service sectors. Manager engagement is needed in the value co-creation process and the sustainability of the service ecosystem. Furthermore, technology and institutions need to be built through dialogical interactions and shared understanding to more effectively implement the corporate strategy.

This research offers several novel contributions: the design of new instruments and an empirical model. Besides, the authors analyze several relatively new constructs, such as technology, institutions, novel operant resources, strategic benefits and value-in-context.

A strategic response to crisis research is a critical and growing area of study in management and business literature. Consequently, the sudden rise of COVID-19, that has a substantial adverse impact on the global economy in a relatively short period of time, brings into sharp focus on the possible and most effective types of strategic responses adopted by firms. In this context, this study aims to shed light on the types of strategic responses adopted by firms and the possible outcomes.

To contribute to the advancement of knowledge around strategic responses in general for business, this study conducted a keyword bibliometric analysis reviewing 66 articles from highly ranked journals according to ABS list of journals published between the period 2006–2020 and synthesize the existing research on strategic responses.

This research enabled the identification of the novel typology of strategic responses to the crisis, such as revived stakeholders’ relationships, revived pricing mechanisms and revived organizational compliance, and their outcomes. Additionally, the analysis established many research areas for scholars who will deal with this topic in the future.

The literature review contributes to the management and business literature by providing a novel and comprehensive classification of crisis responses and synthesizing all new knowledge gained within a new conceptual framework.

This paper’s main objective is to expand the demand-driven strategic field by developing a model where endogenization of consumers’ preferences for clean(er) products becomes the driver of the firm green corporate social responsible (GCSR) profit maximization behavior.

The model proposes that in undifferentiated markets, firms using a conventional technology manage production-related negative externalities via information asymmetries. In turn, when consumer socially responsible individuals (CnSR) discover the nature of the information asymmetries, they then reveal their preferences. The building block of the model is that CnSR derive value both from intrinsic as well as extrinsic product features, and derive negative satisfaction from the production negative externalities. In turn, CnSR preferences offer a higher willingness to pay for a combined intrinsic (private good and direct utility) and extrinsic (public good and feel good–do good utility) product.

The model demonstrates that the firm’s GCSR behavior is a technological-driven process directly affecting the extrinsic component of the product through the development of a safe technology, and exclusively targeting CnSR type of consumers. The corollary of the model is that for the firm pursuing a GCSR behavior, the development of a competitive advantage with higher firm performance leads to profit maximization when exclusively serving the GCSR segment of the market. Thus, GCSR is the result of unusual innovation efforts.

This paper presents a model that expands the field of strategic management through the demand-driven incorporation and respective modeling. To the best of the author’s knowledge, this is the first model to explicitly develop this relationship in this format.

In recent years, the notion of consumer‐brand relationships has drawn increasing attention from both researchers and practitioners in the field of service brand marketing. However, different paradigms conceptualize and measure this notion from diversified perspectives. The current study, integrating and modifying the main concepts of different consumer‐brand relationships paradigms, proposes to test an integrative‐model.

The paper conducts an exploratory investigation and a cross‐regional survey, alongside the statistical technique of structural equation modeling, confirms the appropriateness of the entire model structure as well as the causal path pattern explicated by the proposed Strategic Management of Service Brand Relationships model.

According to the Strategic Management of Service Brand Relationships model, service brand commitment and service brand love partially mediate the effects of eight relationship components on service brand loyalty. Moreover, amid the eight relationship components, there are three components (satisfaction of affective attributes, trust, and self‐concept connection) also exercising a direct positive influence on service brand loyalty.

The Strategic Management of Service Brand Relationships model delineates the antecedents and consequence of positive service brand relationships. Specific indicators of the latent constructs as well as the causal pathways among these constructs provide strategic principles for fostering strong and durable brand loyalty through consumer‐brand relationships in the context of service brand marketing.

The primary purpose of this paper is to illustrate a new methodology for gaining actionable, strategic insight into a brand's associations and its competitive uniqueness vis‐à‐vis key competitors.

The authors integrate free association protocols, response latency, and more conventional scale items to develop a strategic overview of a brand's associations and to depict brands' strategic meaning in a comprehensive visual presentation.

The authors show, via an example featuring peanut butter brands, how their methodology effectively uncovers associations that the market has for the brands and how strong, unique, relevant, and favorable those associations are.

This methodology is most appropriate for four to six brands at a time.

The strategic brand association map process demonstrated provides managers with a very clear, consumer‐driven, strategic view of the associations their brand has, and how those associations may (or may not) be serving to differentiate their brand. Additionally, these strategic brand association maps serve as an excellent diagnostic as to the overall health of a brand and can provide actionable insight for better understanding strategic reasons why a particular brand may be under‐performing against expectations.

Brand associations are one of the fundamental cornerstones of brand value. Brand associations serve to differentiate and create meaning for brands. Better understanding and managing a brand's associations is a fundamental role of brand managers. This process illustrates a new way to give brand managers strategic, consumer‐driven insight into their brand's associative network.

The purpose of this paper is to put forward a multi-period dynamic pricing strategy for perishable food considering consumers’ price fairness perception. The impacts of the multi-period retail price, food freshness and inventory shortage risk on consumers’ heterogeneous willingness to pay (WTP) and their strategic purchasing behaviours are studied.

The authors present a price optimization model for perishable food, and conduct a laboratory experiment to justify the theoretical model. The data collected are analysed by correlation analysis and nonparametric test.

The results obtained reveal, first, food freshness and inventory shortage risk have effect on consumers’ heterogeneous WTP. Second, different retail prices lead to consumers’ strategically purchasing behaviours. Finally, consumers’ intertemporal price fairness perception and the food retailer’s long-term utility maximization can be achieved by developing multi-period dynamic pricing strategy.

This study suggests the perishable food retailer to apply a step-by-step price markdown strategy. It aims at eliminating price unfairness perceptions caused by loss of freshness and high shortage risk of the perishable food in the subsequent selling periods within the shelf life. Some valuable managerial insights towards perishable pricing for food retailers are discussed.

This study serves as the first step to utilize a laboratory experiment to dig out consumers’ intertemporal WTP towards perishable food. It also presents a novel way for describing consumers’ intertemporal price fairness perception by equalizing consumers’ average utilities considering consumer surplus, food freshness and shortage risk at different selling periods. The line of research on dynamic pricing concerning consumers’ price fairness perception is quite new in academic research, and has arisen due to its importance for food retailers of maximizing their long-term revenues and also of constructing mutual benefit and lasting connections with the consumers.

This paper aims to examine the optimal promotion strategy of an e-retailer, who may advertise, or launch rebates initiative to encourage consumers' disseminating electronic word-of-mouth (eWOM) messages, with an aim to boost product sales.

This paper analyzes the decisions of the e-retailer in a two-period model, using utility function approach and backward induction method, and obtains the optimal solutions in four promotion strategies.

The study finds that rebate scheme greatly impacts the timing of advertising, and neither lower nor higher consumers' eWOM effort invariably benefits the retailer, rather, a medium level is the best choice for the retailer. When eWOM impact power is at a relatively high level, it can supplement advertising effect to attract more consumers' purchase. Otherwise, eWOM may counteract the role of advertising.

Different from the extant literature focusing on advertising or eWOM without rebates, the paper studies the issue of advertising and eWOM with rebates in two- period model which seldom addresses before the authors examine the optimal timing of advertising and eWOM with/without rebates in four promotion strategies i.e. the A-NE model the NE-A model the A-ER model and the ER-A model.