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This study aims to explore what characteristics contribute to the definition of relevance in business-to-business (B2B) marketing research and how/why different strands of B2B marketing maintain or lose their relevance.

This study is conceptual. It adopts a performative-phenomenal standpoint for B2B marketing research and approaches relevance through the concept of episteme, which is considered pivotal for understanding this phenomenon.

This study proposes four axioms that define the characteristics of relevance in B2B marketing research and discusses their implications for scholars and practitioners. Consequently, an action plan for revitalizing B2B marketing research is developed, comprising learning and temporal dimensions, resulting in nine different relevance types.

The central argument put forward in this study is that different research strands of B2B marketing have deeply rooted epistemic underpinnings that influence their interpretation of relevance. Consequently, fostering dialogue between practitioners and scholars is considered necessary to sustain relevance in B2B marketing research. B2B scholars are urged to think beyond their subspecialized silos and acknowledge how the business environment and the various strands of B2B marketing congruently shape B2B marketing relevance, while also embracing research methods that bring them closer to business practice.

Marketing practitioners and academics continue to drift apart. This study puts forward three recommendations to bring marketing academics and practitioners closer together.

The study contributes to the B2B marketing literature by grappling with the theory-praxis gap and critically exploring what constitutes relevance in B2B marketing research.

The purpose of this study is to review and analyze the status of word-of-mouth (WOM) research in the business-to-business (B2B) context and discuss and identify new possible future directions.

A systematic review was conducted and 36 articles on B2B WOM were collected to evaluate the current state of the literature and clarify possible future research directions.

This thematic analysis categorize these articles into three themes: WOM generation, WOM usage and reference marketing. Under each theme, the authors reveal research findings unique to B2B research and different from business-to-consumer (B2C) WOM research. This study identifies several research questions that should be addressed by future research.

Both academic researchers and business practitioners recognize that WOM plays an essential role in B2B marketing. However, no review paper focuses on WOM in the B2B context. Findings in the B2C WOM literature suggest that WOM substantially influences firms’ performance, but that managers cannot simply attempt to extrapolate B2C findings to the B2B arena. By synthesizing and assessing prior research on WOM in the B2B context, this study contributes to a better understanding of the B2B WOM phenomenon and facilitates future research on this topic.

Artificial neural network (ANN) models, part of the discipline of machine learning and artificial intelligence, are becoming more popular in the marketing literature and in marketing practice. This paper aims to provide a series of tests between ANN models and competing predictive models.

A total of 46 pairs of models were evaluated in an objective model-building environment. Either logistic regression or multiple regression models were developed and then were compared to ANN models using the same set of input variables. Three sets of B2B data were used to test the models. Emphasis also was placed on evaluating small samples.

ANN models tend to generate model predictions that are more accurate or the same as logistic regression models. However, when ANN models are compared to multiple regression models, the results are mixed. For small sample sizes, the modeling results are the same as for larger samples.

Like all marketing research, this application is limited by the methods and the data used to conduct the research. The findings strongly suggest that, because of their predictive accuracy, ANN models will have an important role in the future of B2B marketing research and model-building applications.

ANN models should be carefully considered for potential use in marketing research and model-building applications by B2B academics and practitioners alike.

The research contributes to the B2B marketing literature by providing a more rigorous test on ANN models using B2B data than has been conducted before.

Although the value of artificial intelligence (AI) has been acknowledged by companies, the literature shows challenges concerning AI-enabled business-to-business (B2B) marketing innovation, as well as the diversity of roles AI can play in this regard. Accordingly, this study investigates the approaches that AI can be used for enabling B2B marketing innovation.

Applying a bibliometric research method, this study systematically investigates the literature regarding AI-enabled B2B marketing. It synthesises state-of-the-art knowledge from 221 journal articles published between 1990 and 2021.

Apart from offering specific information regarding the most influential authors and most frequently cited articles, the study further categorises the use of AI for innovation in B2B marketing into five domains, identifying the main trends in the literature and suggesting directions for future research.

Through the five identified domains, practitioners can assess their current use of AI and identify their future needs in the relevant domains in order to make appropriate decisions on how to invest in AI. Thus, the research enables companies to realise their digital marketing innovation strategies through AI.

The research represents one of the first large-scale reviews of relevant literature on AI in B2B marketing by (1) obtaining and comparing the most influential works based on a series of analyses; (2) identifying five domains of research into how AI can be used for facilitating B2B marketing innovation and (3) classifying relevant articles into five different time periods in order to identify both past trends and future directions in this specific field.

This paper aims to provide a systematic review of omni-channel marketing (OCM) literature and explore how it relates to business-to-business (B2B) marketing campaign development in the digital era. OCM’s evolution is tracked, exposing the areas in which research is most prevalent while also recognising knowledge gaps. Informed by these literature insights, the changing B2B channel dynamics that present within a digital era customer journey are appraised. An OCM model for B2B marketing campaign development is produced and avenues to further research are presented.

This paper uses a systematic approach to explore OCM literature. This review informs an OCM model for B2B marketing campaign development to help advance conceptualisation of OCM B2B customer engagement as an emerging phenomena in the digital era.

With just 21 papers identified, OCM is assumed to fit the criteria of an emerging concept as proposed in previous research studies. The proposed model presents the changing B2B omni-channel dynamics that can be used to create B2B OCM strategies, incorporating the myriad of B2B customer channels and touchpoints currently fabricating the modern B2B marketing terrain.

Conceptual in nature, there is a need for more empirical research to fully comprehend the emerging OCM landscape and how it relates to B2B customer dynamics.

This research provides much-needed conceptualisation of data capture and management strategies for B2B marketing campaign development across the omni-channel in the digital era. While systematic literature reviews exist within the OCM realm, none have charted the current OCM literature.

The purpose of this paper is to build on recent efforts occurring within business-to-business (B2B) marketing research to advance methodological developments. As phenomena within B2B relationships have become increasingly complex, marketing scholars have begun to point out the limitations associated with correlation-based methodological approaches and highlight the need for new developments in this area. One such development is the fuzzy set qualitative comparative analysis (fsQCA).

This study uses a literature review to examine the use of fsQCA in B2B marketing research.

First, the current manuscript presents the benefits that the application of fsQCA can offer to market researchers investigating B2B phenomena. Second, the paper presents the current state of fsQCA use within B2B marketing. Third, it suggests possible marketing B2B research topics that can be explored using fsQCA.

The study highlights the benefits of fsQCA, presents the current state of fsQCA use within B2B marketing and offers a rich future research agenda for B2B marketing scholars. This agenda can also help spur additional method developments in the discipline.

The purpose of this study is to explore organizational social media capability in business-to-business (B2B) marketing, by focusing on what social media capability is in a B2B marketing context and how it is developed in firms engaged in B2B marketing.

This is a thematic literature review, drawing on both B2B marketing and Information Systems literature. In total, 112 academic articles from nine journals were identified and analyzed. The findings were synthesized and compiled to provide answers to the predefined research questions.

The results suggest that organizational social media capability is dependent on a deep understanding of a firm’s technological capability, i.e. recognizing the key features and categories of social media and dynamically upgrading the recognition in response to the environmental change. A four-level Social Media Capability Maturity Model (technological, operational, managed and strategic level) that collectively transfers social media’s technological capability to dynamic organizational capability is proposed.

This study contributes to an understanding of the use of social media in the context of B2B marketing from an organizational dynamic capability perspective. The model is particularly relevant to organizations that have adopted or plan to adopt a B2B social media strategy and is relevant for B2B researchers who are interested in social media research.

The purpose of this study is to examine how and to what extent customer-provider service touchpoints impact business customer perceptions and outcomes in the context of long-term business-to-business (B2B) service relationships. To this end, the authors will assess the chain of effect path for different service touchpoints between business customers and service providers – and the long-term impact both on customer perceptions and financial, behavioral and relational outcomes.

Enabled by a five-year panel data set, seemingly unrelated regression model methodology is applied to test the proposed conceptual framework. Data are obtained for a sample of 2,175 B2B insurance service companies between 2013 and 2017.

Study results shed light on the significance of the sales force in B2B settings, as one of several key service touchpoints – together with firm expertise, service reliability and excellence – driving robust relationships, profitability and cross-buying. Firm-initiated contacts and tangible touchpoints are proven to be ineffective – even damaging in some instances – in terms of driving business customer perceptions.

The paper delivers empirical evidence providing insight on how service touchpoints and business customer perceptions have a long-term impact on customer outcomes. This has yet to be addressed in B2B service settings – despite being of vital interest to marketers, as the longitudinal approach of the research aids service firms in gaining a better understanding of company-customer touchpoints and the extent to which different factors have a decisive, lasting impact on B2B customer outcomes.

This final chapter of the book provides an up-to-date overview of research on B2B branding. The chapter discusses the current academic endeavors and propositions from researchers in the field, while focusing on the discipline of B2B marketing. It furthermore elaborates on the importance of brands and branding for decision-making processes by discussing the role of B2B buyers and sellers. Additionally, branding as part of marketing has been reviewed from its historical background and the first attempts to develop its conceptual background. The chapter then focuses on business buyers and their main characteristics with regard to brand relevance. Finally, the key challenges of developing a strong B2B brand are presented and discussed, after which future research avenues and upcoming trends within the B2B branding context are considered. Digitalization and the digital context are identified as important areas to know in the future, as they are increasingly becoming important stages for marketing activities within the B2B domain. The digital context is a specific platform to explore further. In addition, the intangible aspects of B2B branding that are still unknown to many managers and academics, such as emotions in situations of interaction and sales are explored. From a thematic point of view, sustainability issues will become increasingly important to handle in organizations, which will put pressure on B2B marketers, as sustainability can be communicated through the corporate brand and related branding efforts.

The unprecedented changes in the marketplace induced by the COVID-19 pandemic and the resultant accelerated corporate migration to virtual ecosystems have added several unique research opportunities and theoretical gaps, especially in business-to-business (B2B) small- and medium-sized enterprises (SME) markets in the service sector. Particularly, customer interactions in B2B services that were once sustained by the “people mix” now demand a huge overhaul in light of the “new normal” restrictions. Hence, the purpose of this study is to explore how B2B service firms can engender firm value through virtual customer interactions during and in the post-COVID-19 era from an SME’s perspective.

This study adopts an exploratory qualitative inquiry to contribute to this discourse by proposing a conceptual framework based on prior literature and relevant theoretical frameworks, as well as qualitative interviews with SME managers, CEOs and/or owner-managers.

The qualitative findings reveal organizational preparedness, empathy, digital content and trust as key enablers of effective B2B virtual interaction that enhances cocreated value, thereby augmenting firm value. This study offers a much-needed examination of virtual interaction in B2B contexts and proposes a business customer virtual interaction model.

The exploratory nature of this study is one limitation, and future studies with a bigger representative sample size that uses survey or experimental data drawn from large enterprises might add value to the current findings. Also, while this study is conducted in dynamic markets due to the COVID-19 crisis, future research must examine the customer/firm’s experiences in other forms of crises-led market ecosystems.

B2B service firms must be strongly inclined to continuously take steps to develop and maintain virtual interaction with customers. Proactive efforts to familiarize internal and external stakeholders with virtual interaction platforms are a crucial step for effective customer engagement. The effectiveness of B2B virtual interactions can be strengthened through digital content that elicits trust and exhibits empathy, especially in crises led-markets. Also, the value created for the firm must be redeployed strategically to sustain positive customer engagement behaviors that continue to deliver value to the firm and the customer.

This paper contributes to the increasing B2B customer engagement literature by exploring the ongoing dialogue on how B2B firms can strive and succeed in the post-COVID-19 era or related crises-led market ecosystems through enhanced virtual B2B customer interaction efforts.