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This paper aims to explore how relational constructs (total interdependence, trust, commitment, cooperative norms and conflict) impact the buyer's relationship satisfaction across the relationship lifecycle.

Data were collected through mail survey from a sample of 162 Australian buyers. Confirmatory factor analysis was used to purify the measurement scales and multiple regression analysis techniques using dummy variables were used to test the hypotheses.

The results indicate that interdependence and trust are associated with higher relationship satisfaction in the build‐up and maturity phases while commitment is associated with higher relationship satisfaction in the maturity phase. Unexpectedly, cooperative norms are found to drive relationship satisfaction in both the build‐up and maturity phases. Conflict, however, is not found to affect relationship satisfaction in the decline/deterioration phase.

A limitation of this study is the unequal sample size in each of the relationship phases. It would be desirable to run a model consisting of the five relational constructs for each of the three phases.

Literature has suggested that the effects of relational constructs on outcomes vary across relationship phases. While this notion has been established theoretically, there has been little attempt to measure it empirically. This paper provides an empirical test of the important, yet unexplored, question of how different relational constructs have different effects on buyer satisfaction depending upon the relationship phase.

This chapter offers an insightful exploration into the burgeoning field of eco-tourism, focusing on the expectations and motivations of tourists gravitating towards green destinations. Eco-tourism, while not a novel concept, has seen a significant resurgence in interest over the past few decades, with its roots tracing back to the wildlife reserves of Kenya in the 1960s. The narrative then transitions to an in-depth examination of what constitutes a green destination, emphasizing its foundational pillars, such as environmental conservation, sustainable tourism practices, active community engagement, educational initiatives, and the pursuit of certifications that affirm their commitment to sustainability. A central theme of the chapter is the nuanced expectations of eco-tourists who are increasingly seeking destinations that not only offer the tranquillity and beauty of nature but also adhere to sustainability principles and cultural authenticity. These expectations are intricately linked to the motivations driving tourists towards green destinations, including the desire to connect with nature, contribute to conservation efforts, and engage in travel practices that are both responsible and enriching. By weaving together theoretical insights and empirical evidence, the chapter provides a comprehensive understanding of the dynamic interplay between the demand for green destinations and the supply of sustainable tourism experiences, ultimately highlighting the critical role of eco-tourism in paving the way for a more sustainable and ethical travel industry.

Artificial intelligence (AI) supports increased efficiency in different sectors. AI is among various sectors' most innovative and measurable solutions. AI has revolutionized new ideas in our daily lives, such as the Internet of things, the Internet of people and the sharing economy. Like other sectors, the tourism sector is one of the sectors affected by AI, where different intelligent systems are used in travel agencies and transport companies. In addition, technological breakthroughs are expected to increase in the tourism sector, leading to a rearrangement of the technological revolution in the tourism sector. We hope that the process of technological progress in the field of tourism is constantly advancing and cannot be stopped. Accordingly, we came to the following question: How can adaptation be made to the progress brought by AI to the tourism sector? The continuous technological advancement in the tourism sector is expected to lead to the end of human civilization, especially since technological machines have become more intelligent than humans.

Despite the concept of regenerative tourism (RT) is still under research, there are recognized attempts to conceptualize RT from different thoughts, paradigms, worldviews and frameworks, even though the integral or alternative paradigms lack a detailed description. Therefore, the goal of this chapter is to overview the current debates on the background of RT, its definitions and its relationship with sustainability and tourism besides exploring the RT paradigms, principles and objectives in extant literature.

Green tourism and ecotourism have close meanings focusing on environmental factors and are sometimes related to rural tourism in general or a type of ecotourism itself. These forms emerged due to the concerns to protect the environment, and greater consideration has been given to tourism development and the notion that it should be approached carefully in light of recognizing its impacts.

The thematic concepts of green and responsible tourism raised questions about the definitions of both notions and their nexus of sustainability. Thus, the current chapter looks for an overview to understand green and responsible tourism, their emerging, definitions, practices and their role in the current scenario in the post-pandemic era.

The extent of relational behaviors displayed by independent partners in channels of distribution is a critical determinant of the efficiency and effectiveness of distribution operations. The purpose of this study is to focus on the two key antecedents of relational behaviors in channel dyads, dependence on and trust in the exchange partner, and to explore the relative effects of dependence and trust on each of the three major relational behavior forms of flexibility, information exchange, and solidarity.

Formal hypotheses are developed in the study regarding the joint and relative effects of dependence and trust on each relational behavior. Data collected from 192 automobile dealerships in Turkey are used for testing the hypotheses through separate regression analyses.

In line with the main study thesis, the results suggest that the relative effects of dependence on and trust in the supplier differ across dealer flexibility, information exchange, and solidarity displayed toward the supplier firms. Theoretical and managerial implications are discussed.

Findings of the study provide guidelines to channel firms in regard to the policies and programs that need to be developed to evoke desired forms of behaviors within their distribution networks.

Considering each relational behavior separately, this study provides support for the view that the emergences of different forms of behaviors in channel relationships occur through different motivational mechanisms.

There is conflicting evidence of the extent to which business relationships in the UK construction industry are based on trust between closely collaborating parties or alternatively are more adversarial in nature, based on dependence between the parties. This study seeks to provide empirical evidence about the effects of trust and dependence in business relationships in this industry.

A large quantitative survey was conducted with buying firms, resulting in a total of 636 usable responses from 404 firms to test a model using structural equation modelling. The authors test the extent to which trust and dependence act as antecedents to four dimensions identified from the literature as being important determinants of relationship quality: commitment, communication, satisfaction, and long‐term orientation.

The results provide good evidence for the hypotheses in the authors' model: relational characteristics associated with relationship quality are mainly driven by the interpersonal trust between buyers and their suppliers. Interorganisational dependence, evidence of more adversarial relationships, has either no direct impact on relational consequences or at best far less impact than trust.

This research substantiates trust as a key factor influencing relational characteristics associated with relationship quality in the UK construction industry. The findings confirm the earlier work in this industry that trust is an important strategic tool in supplier relationship management.

Drawing from the theory of relationship dynamics, the purpose of this paper is to investigate how the relationship life cycle moderates the link between relationship quality and customer value co-creation. As customer-firm relationships pass through different stages (exploration, buildup, maturity, and decline) characterized by distinct customer behaviors, this study proposes a dynamic conceptual framework.

A questionnaire was administered in financial services firms. The final valid sample comprised 2,000 individuals. Subjective customer information from the questionnaire was combined with objective data that the financial entity provided.

The results demonstrate that the relationship life cycle plays a key moderating role, revealing that, in the buildup and maturity stages, the influence of relationship quality on customer value co-creation is stronger than in the decline stage. However, for customers in the exploration stage, relationship quality does not lead to customer value co-creation behaviors.

As customer relationship stages are constantly evolving, this study provides companies with additional interesting tools to personalize business strategies and to adapt marketing investments to the specific situation of customers.

To the authors’ knowledge, this is the first study to consider how the relationship life cycle influences the strength with which relationship quality promotes customer value co-creation.

The purpose of this paper is to explore empirically how a distributor's trust in a supplier and its use of control mechanisms affect the values it gains from the relationship.

Factor analysis and a structural equation model were used to test the framework in a sample of 251 distributors in the household appliances industry in China.

The findings show that a distributor's honesty trust in a supplier enhances the direct value gained through the use of both contract and relational norms, but hinders and promotes the indirect value gained through the use of contract and relational norms respectively. A distributor's benevolence trust promotes the direct and indirect value gained through the use of relational norms, but impedes the direct value and enhances the indirect value gained through the use of contracts.

A distributor's trust in a supplier may involve competence trust besides honesty trust and benevolence trust. Hence, the framework can be further studied in the situations where the distributor's trust in the supplier's competence is considered. Moreover, the sample of the empirical study only comes from the household appliances industry, and research in future may be extended to include multiple industries.

The paper may help distributors choose and use the proper control mechanism as well as foster a suitable kind of trust in suppliers to realize the objectives of maximizing the relationship value.

The results permit an in‐depth look into the effects of trust and control mechanisms on the relational values in a channel relationship context.