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The purpose of this paper is to attempts to better understand the role of ethical leadership in the business-to-business customer value creation process. Drawing on job demands-resources theory (Bakker and Demerouti, 2007; Demerouti et al., 2001), this paper develops and tests a model that examines the relationships among ethical leadership, customer orientation, commitment to providing superior customer value and job stress in the salesforce.

The sample includes 408 business-to-business salespeople. Structural equation modeling is used to test the study’s hypotheses.

Findings suggest that ethical leadership directly and indirectly (via customer orientation) influences commitment to providing superior customer value. Furthermore, both ethical leadership and salesperson commitment to providing value directly influence salesperson job stress.

This paper develops and tests a model that examines the relationships among constructs not previously examined, as they relate to business customer value creation.

The resource‐based view (RBV) explores the role of key resources, identified as intangible assets and capabilities, in creating competitive advantage and superior performance. To a great extent the conceptual analysis and empirical research within the RBV has focused on the firm's perspective of key resources and the value to the firm of these key resources. The other perspective on key resources is to explore the value they provide to the customer. The question of interest here is whether key resources that hold value for the firm also hold value for the customer.

A depth interview was trialled as an appropriate methodology by which to begin to explore the customer perspective of key resources.

This trial suggests that further investigation of the customer perspective will provide a clearer view of customers' assessment of the firm's valuable resources. The trial interview with a key customer indicates there are subtle differences in the ranking of valued skills and capabilities between producers and customers that if verified in further trials, have potential to better focus firms on key resources valued by customers.

This trial provides insight into the process of identification of the factors that customers regard as the firm's valuable resources and how this influences their choice of firm. Differences in ranking of key resources by customers compared to those of producers could lead to re‐evaluation of skills and experience background for staff recruitment purposes, and training programs to better reflect customer valuation preferences.

This chapter focuses on how retailers can do the right thing and be successful at the same time, particularly in the light of technological innovation. Service dominant logic (SDL), with the notion of operant and operand resources as a means to connect the retailer to the customer, provides a framework for the chapter. Normative decision making is presented as a necessary ethical and practical mindset to solve problems, and we illustrate the relationship between normative decision making and value. Value becomes the ultimate outcome to the customer that will allow for sustainable retailing into the future. Utilitarian value and hedonic value are presented and elaborated upon to show how companies and consumers come together to transform resources into value through service. Sections are included showing how value delivery will evolve into the future and what mix of value will be necessary so that retailing can see continued success.

After pioneering, but insular, work on the conceptualization and measurement of customer value in business markets undertaken in the 80s and 90s, interest in this topic is substantial since the beginning of this decade. Despite this recent interest, marketing scholars concur that value in business markets is still an under-researched subject. This contribution to the debate is threefold. The paper first proposes an own model of customer value conceptualization in business markets; based on several rounds of testing this theoretically grounded model in managerial practice indications exist to conclude that this model may offer benefits over current models.

Secondly, the paper provides a comprehensive survey of pricing approaches in industrial markets. The paper integrates this literature overview with own empirical findings. Concurrently the paper summarizes extant research on the link between pricing approach and profitability in industrial markets. The paper thirdly proposes a framework for value delivery and value-based pricing strategies in industrial markets. Proposing such a framework is both useful as well as necessary. Useful, since this framework guides new product development and pricing decisions and assists in the implementation of price-repositioning strategies for existing products; necessary, since the theoretical and practical adoption of value-based delivery and pricing strategies may have suffered from the lack of a unifying conceptual framework. Two case studies, one involving the pricing decision for a major product launch at a global chemical company, the other involving value delivery at an industrial equipment manufacturer, illustrate the practical applicability of the proposed framework.

This paper reports the results of a three-year-long research on business relationships, relying on qualitative data gathered through multiple-case study research of four focal companies operating in Australia. The industry settings are as follows: steel construction, vegetable oils trading, aluminum and steel can manufacture, and imaging solutions. The research analyzes two main aspects of relationships: structure and process. This paper deals with structure describing it by the most desired features of intercompany relationships for each focal company. The primary research data have been coded drawing on extant research into business relationships. The main outcome of this part of the research is a five construct model composed by trust, commitment, bonds, distance, and information sharing that accounts for all informants’ utterances about relationship structure.

The purpose of this paper is to study management processes within successful societal entrepreneurship to further understand the role of management in customer value creation.

Management in three successful societal entrepreneurship initiatives has been studied. Data have been collected through interviews, direct observation, participant observation and documentation. Management tasks, activities and behaviours have been identified and analysed from a system view.

The result presents essential management processes important for societal customer value creation, their input, output and main focus. Some management processes are inter-related and are sometimes part of another management process. The management seems driven by “need”, “opportunity”, “interest” and “demand”, when creating societal customer value. From a system perspective, management has an indirect role in societal customer value creation and is important for possibilities to create societal customer value. Both the initiative and the surroundings have been found to be of importance to the management’s scope for contributing to societal customer value creation.

The study provides the possibility to understand and learn from management, the management processes and their role in societal customer value creation. Thereby, it describes how to successfully provide customer value to society and work with societal, environmental and sustainability issues.

This study aims to investigate how business-to-business (B2B) companies use message strategies on social media platform and how these strategies are effective in improving customer perceived value and encouraging customer engagement, as well as how B2B companies differ from business-to-customer (B2C) counterparts in terms of utilization and effectiveness of social media message strategy.

Based on content analysis of Sina Weibo brand pages and survey of website visitors, this paper examines the differences of social media message strategies and their impacts upon customer perceived value and customer engagement between B2B and B2C companies.

B2B companies use more rational appeals and less emotional appeals, have lower degree of informativeness and perform better in interactivity and variety than B2C companies. These five dimensions of message strategy have different roles in engaging customers via perceived value across B2B and B2C settings.

The research makes significant contributions to B2B social media marketing literature by answering two interrelated questions, namely, “What companies are doing?” and “What companies should do?” on social media websites. Besides, it provides insightful implications for B2B companies on how to implement appropriate message strategies in their social media marketing efforts by conducting Importance-Performance Analysis.

Models of value creation that have been proposed for supporting value-based management are described and analyzed, including the Balanced Scorecard, the Baldrige Quality Award Criteria, the Deming Management Method, the Service-Profit Chain, and the Skandia Intellectual Capital Model. These models are compared, their potential for guiding the identification of value drivers and performance measures for value-based management is assessed, and management issues that must be addressed if such models are to contribute to long-run value creation are explored. These issues include causally linking value drivers to each other and to financial outcomes, the extent to which the models take a dynamic, or whole-system, view of value creation, and whether multiple value drivers should be explicitly weighted and combined to form a “value index.” Finally, the substantial body of research evidence linking intangible value drivers to financial outcomes is reviewed, and some directions for further research are offered.

This study aims to integrate research on customer success (CS) management with the service ecosystems perspective of selling to enhance the understanding of the CS management function and the outcomes selling firms should expect based on implementation of CS management.

The authors apply the service ecosystems perspective of selling to describe how CS management is manifested in practice by offering relevant insights and practical industry examples.

Study findings identify relevant ecosystem actors, acting on behalf of the customer, required for the delivery of desirable customer outcomes. Study findings also link the orchestration efforts of CS managers to theory-based tenets for explanation of how CS management facilitates the attainment of competitive advantages via the thickening and thinning of ecosystem crossing points.

Given that the research is conceptual, additional research that empirically examines this framework and the insights presented would lend further credence to the recommendations the authors suggest.

From a practical perspective, the authors present a “Customer Relationship and Solution Innovation Matrix” which integrates necessary value-creating activities that CS managers perform and the coordination with internal actors that CS managers rely on to create value.

Although the practice of CS management is becoming increasingly common, theoretical approaches capable of explaining the function have been lacking. Similarly, while the service ecosystems perspective redefines selling to encompass a broader set of actors than traditionally examined, practical examinations of the theory are limited. The authors address these issues, integrating both research streams for an enhanced understanding of the CS management function through the service ecosystems perspective theoretical lens.

Artificial intelligence (AI) has a significant impact on value co-creation (VCC). However, a study providing a comprehensive summary of the current state of the art and common ground of the two fields is missing. The current study aims to fill this gap by conceptualizing the role of AI in VCC and customer decision-making.

The study reviews literature on VCC and AI together, including a total of 108 articles. To bring the literature together, the authors adopted the antecedents-mediators-outcomes framework and narrative approach that helped them develop a framework by integrating the antecedents, mediators and outcomes of AI-facilitated VCC. Furthermore, the authors also operationalized existing literature to facilitate an understanding of the role of AI in customer decision-making.

The study, in addition to identifying the common theoretical grounds of VCC and AI (human behavior, cognition and social interactions), operationalizes AI functionality, its characteristics and customer characteristics as the antecedents of AI-facilitated VCC. Moreover, based on literature, on the continuum of low-to-high involvement, four types of decision-making were identified as mediator of the relationship between AI characteristics, customer characteristics and VCC. Additionally, the authors found different categorizations of AI in literature as archetypes to support various forms of VCC.

The study contributes to the literature of VCC and AI by construing a comprehensive framework for analyzing AI's impact on VCC, envisioning customer–AI interaction as continual exchange of advantages in which characteristics of AI and customers play a critical role in customer decision-making and shaping VCC.