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The objective of this research is to describe and apply a method with which to measure and evaluate mutual trust in dyadic business relationships with both one‐to‐one and multiple informants, as well as symmetric and asymmetric interactions.

Application of the perceptual bi‐directionality method, i.e. the PBD‐method, is introduced in this context to measure and evaluate the relationship properties of mutual trust in the context of one‐to‐one and multiple informants, as well as the symmetric and asymmetric interactions, in dyadic business relationships.

The overall impression of the mutual trust in the studied relationships is that they are well balanced. It may erroneous, since there may be balance deficiencies between the various trust dimensions. The stepwise evaluation of a case example reveals that there are substantial differences between the various trust dimensions measured in the dyadic business relationship.

It is argued that the measurement and evaluation of unidirectional trust issues is not enough in itself to understand the relationship properties of trust between two actors in dyadic business relationships, but that a bi‐directional approach should be applied in terms of the relationship properties of mutual trust. Furthermore, the approach of one‐to‐one key informants might also be insufficient. Instead multiple informants should be used in the measurement and evaluation of the relationship properties of mutual trust in dyadic business relationships and, symmetric, as well as asymmetric, interactions of mutual trust in dyadic contexts should be considered.

The PBD‐method is a formalised and structured method of how to measure and evaluate the mutuality of relationship properties in dyadic contexts. The outcome of the present research is also a set of generic mutuality measures that can be useful in different management and research applications.

The PBD‐method may be used to measure and evaluate multiple key informants' in asymmetric interactions of mutual relationship properties in dyadic contexts, instead of only matching one‐to‐one key informants in symmetric interactions.

This paper aims to understand an emerging paradigm for business-to-business selling, Sales 2.0, which connects various enabling technologies within leading sales processes to drive improved business and relational outcomes. In the context of Sales 2.0, this paper addresses the need for buyer–seller dyadic sales research in the literature and highlights the importance of understanding buyer and seller perspectives regarding technology expectations and relationship-building performance.

This research utilizes a dyadic (salesperson–customer) data collection methodology, involving 74 matched salesperson and customer responses (37 dyads) to an online survey. Existing salesperson (self-report) measures of customer technology expectations and relationship-building performance with customers were utilized and adapted to provide dyadic measures to test for buyer–seller perceptual differences.

The dyadic data analysis supports the presence of significant perceptual differences between the salesperson and their customer, respective of customer technology expectations and relationship-building performance measures. In particular, the analysis reveals bidirectional perceptual differences for the two measures, whereas the salesperson underestimates the importance of their customer’s technology expectations, but overestimates their relational performance relative to their customers.

As technology continues to transform salesperson interactions with customers, the value of capturing a deeper understanding about those interactions increases. This study uses matched salesperson–customer dyads from a health-care sales organization to provide researchers and practitioners with insightful findings with respect to buyer–seller interactions and perceptual differences. Further, the research uniquely advances dyadic measures of customer technology expectations and relationship-building performance with customers to advance sales research in the context of Sales 2.0.

The authors systematically review empirical dyadic service encounter research published in top-tier journals between 1972 and 2022.

The authors employed bibliometric techniques, co-citation analysis and bibliographic coupling analysis to map schools of thought and research frontiers within the dyadic service encounter literature. In total, the authors analyzed 155 articles. To ensure inclusion of high-quality research, the authors screened articles from 139 journals with “4” or “4*” ratings on the 2021 Chartered Association of Business Schools (ABS) journal list, in addition to articles published in three service sector-specific journals: Journal of Service Management, Journal of Services Marketing and Journal of Service Theory and Practice.

The authors' co-citation analysis identified four distinct clusters within the dyadic service encounter literature: (1) shaping and explaining service encounters; (2) emotions in service work; (3) modeling, manipulating and measuring encounter service quality and (4) emotional labor and regulation in dyadic service encounters. Furthermore, the authors' bibliographic coupling analysis generated three research clusters: (1) service encounter characteristics; (2) emotions and emotional labor and (3) service encounter interaction content.

The authors' comprehensive review synthesizes knowledge, summarizing similarities among research clusters within the service encounter realm. Noteworthy are research clusters that clarify the emotion-based underpinnings and reciprocal nature of behaviors and emotions within dyadic encounters. By conducting complementary bibliometric analyses, the authors trace the evolution of the service encounter literature, providing an overview of the present state of dyadic service encounter research. These analyses offer valuable insights into the current landscape of the field, identifying future dyadic service encounter research opportunities.

The paper reports on an exploratory study aimed at analysing a series of independent variables derived from international industrial marketing and channel management literature.

The respondents represent a number of dyadic business‐to‐business relationships of different duration, and involve firms of different size (multinational enterprise buyers and their corresponding medium sized enterprise suppliers).

Initial findings support much of the extant literature on relationship marketing, demonstrating that certain aspects of a relationship tend to change over time. In particular, the study revealed that: there is a high degree of optimism associated with dyadic relationships at early stages, and these are characterised by both parties having high initial perceptions of the relationship; in mid‐term relationships some negativity maybe apparent, where certain aspects regress; and in long‐term situations, there is a tendency for relationships to be well structured, and these are particularly highly perceived among both exchange parties.

The research approach shares those benefits as well as limitations associated with earlier empirical investigations. That is a trade‐off in favour of undertaking dyadic exploration, than administering large samples and data sets. As a consequence of the sample size, some caution should be exercised when interpreting these findings.

Firms need to pay particular attention to relationships of differing time duration. This is because specific aspects of relationships may not develop in a uniform direction.

The research attempts to unravel the complexities and difficulties associated with obtaining data of a dyadic perspective for a significant number of relationships of different length. Such studies that map the evolvement of buyer‐seller relations over time are rare.

Research on business-to-business (B2B) pricing has been mainly focussed on the supplier’s pricing process, thus adopting traditionally an internal perspective and perceiving pricing as a profit distribution parameter rather than an opportunity for collaboration with customers. Recently, the opportunity to develop win-win, collaborative relationships in the B2B pricing process by embracing a supply chain perspective has started to attract the attention of scholars across several research streams, who have highlighted the emergence of this topic using different definitions, perspectives and methodologies. The purpose of this paper is to address the need for integrating the fragmented body of knowledge on B2B pricing toward supply chain collaboration.

This critical literature review adopts an interdisciplinary approach, focussing on industrial marketing and operations and supply chain management areas.

The authors provide a critical synthesis and discussion structured in four streams clustered around two dimensions, i.e. the “extension” of the collaboration in the pricing process along the supply chain and the “direction” of collaboration.

Drawing on the literature gaps, the paper concludes by proposing an agenda for future research for a relevant topic both for academics and practitioners.

This paper offers a novel comprehensive view of the supply chain collaboration in the B2B pricing process and provides opportunities for intensifying dialogue across different research areas.

This paper explores the value of the final customer in business networks. The preferences of the final customer define the concept of the network customer. The central argument of this paper is that companies within networks of value-creating relationships can act as integrators, which by interlocking limited value perspectives, can approximate an absolute value horizon that includes network customer considerations. Such interlocking activity constitutes a managerial challenge. As such, the interconnecting activity extends companies’ value horizons and can be characterized as a relationship capability, which is managerial knowledge capital that is not residing within isolated organizational actors but within the interrelations between them. Accordingly, such knowledge becomes a significant resource that can be used by both the organizations to improve their network position. By deconstructing the notion of value, this paper demonstrates the need for greater conceptual clarity and operationalization of value in the wider field of marketing, and specifically for business-to-business marketing.

This paper aims to investigate the importance and prevalence of Guanxi in business interactions in network-based societies such as China, few studies have the phenomenon from a dyadic view. In a business dyad, one partner may not value Guanxi and take it as a template for actions as the other does.

The authors propose that such collective and asymmetric Guanxi orientation influence both the creation and distribution of relational rent in a Guanxi dyad. Furthermore, relationship-specific investments (RSIs) moderate the relationship between dyadic Guanxi orientation and relational rent creation and distribution.

Based on a matched sample of supplier-buyer dyads in China, the authors find that joint Guanxi orientation is positively related to joint pie creation, whereas Guanxi orientation imbalance has a positive effect on the pie distribution imbalance.

These results contribute to the literature by revealing how dyadic Guanxi dynamics and practices affect dyadic performance and providing managers with meaningful implications for dyadic Guanxi management.

The purpose of this paper is to describe different ways in which a buyer and supplier can be embedded in a dyadic relationship and how these differences influence patterns of inter-firm innovation activities and outcomes. Specifically, to address the relative paucity of theoretical work on how dyadic configurations influence parties’ joint innovation behavior, this study examines how different buyer-supplier embeddedness (BSE) configurations change the four choices that pertain to the levels of involvement buyers and suppliers exhibit in inter-firm innovation activities. These choices concern the processes buyers use to engage suppliers; the scope of efforts in each party; the locus of effects determining the beneficiaries; and the extent to which parties disclose private innovations within the relationship.

Drawing on social embeddedness literature, the authors conceptualize dyad level, BSE in two dimensions: relational and structural. The relational dimension describes the quality of relationship, while the structural dimension describes the intensity of exchanges between the parties. Together these dimensions allow the authors to map the differences in BSE configurations and provide a basis for exploring their links to inter-firm innovation patterns.

The authors demonstrate the configurational approach to the innovation patterns in inter-organizational setting. That is, the authors conclude that different configurations of BSE are likely to produce distinctive patterns of choices for inter-firm innovation activities.

This study applies social embeddedness perspective to conceptualize dyadic BSE. Adoption of this concept allows dimensionalizing the dyadic relationships into two distinct dyadic elements, relational, and structural dimensions. Also, the concept has rich implications for how partner firms interact and share information. The dyad’s innovation potential and patterns are considered based on the configurations of dyadic embeddedness.

Grounding on resource orchestration theory, this paper aims to study the relationship between the way buying companies use their supplier performance measurement systems and the performance improvements obtained from suppliers, with relationship trust identified as a mediator in the previous link.

The authors design a conceptual model and test it through structural equation modelling on a final sample of 147 buyer-supplier responses, collected by means of a dyadic survey.

Results suggest that the buyer company may achieve the most by balancing a diagnostic and interactive use of the measurement system, as they are both positively related to supplier performance improvement. Furthermore, relationship trust acts as a mediator in case of the interactive use, but not for the diagnostic. This type of use negatively affects relationship trust, due to its mechanistic use in the buyer-supplier relationship.

The authors’ results contribute to the current academic debate about supplier performance measurement system design and use by analyzing the impact of different supplier performance measurement system uses, and highlighting their relative impact on relationship trust and supplier performance improvement. From a methodological perspective, adopting a dyadic data collection process increases the robustness of the findings.

This study aims to examine the effect of supplier supply network (SSN) resources on buyer–supplier collaborative product innovation. The existing relevant studies from the network perspective are focused more horizontally on the mobilization of the firm’s entire supplier network resources and less vertically on the utilization of the individual supplier's supply network resources. Therefore, this paper takes a contingency perspective, regards the buyer as the receiver of a supplier’s supply network resources and, based on the theoretical motivation–opportunity–ability framework, explores the important motivation and ability factors that may weaken or enhance the product innovation value of the network resources.

This paper develops a new research model that assesses how the innovation utilization effectiveness of SSN resources is contingent on a buyer’s perception of the SSN effects and relative absorptive capacity on the SSN. A large sample questionnaire is designed and collected from 300 Chinese high-tech manufacturing firms and their suppliers. An empirical test is carried out in which multiple regression analysis is applied to 246 valid sample data.

The results show that SSN resources can significantly enhance buyer–supplier collaborative product innovation; however, the innovation utilization effectiveness is limited by the buyer’s relative absorptive capacity for the SSN and perception of the SSN effects. Specifically, if a buyer perceives that a greater innovation effect of a supplier’s supply network is correlated with an improved relative position in the SSN or with higher network structural equivalence and network cognitive congruence between the buyer and the supplier on the SSN, then the buyer will be more motivated and capable of transforming the SSN resources into actual product innovation value.

The research results provide useful guidance for firms to effectively mobilize their SSN resources to tap into the supplier innovation value for a sustainable competitive advantage.

This paper extends the research on supplier innovation value to the SSN field. Through linking dyadic and network levels of analysis, this paper reveals the value and uniqueness of product innovation utilization of a specific supplier’s supply network resources in the buyer–supplier relationship and provides a new research perspective for future studies on related issues.