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This paper aims to help challenger marketers identify and target the right customer organization.

This paper adopts a customer organization profiling route to targeting for challenger marketing that is predicated on a thematic analysis of key findings of customer organization profiles from an international case study.

This paper introduces and explains the concepts of aggressiveness to succeed, compatibility of offerings, openness to new ideas and willingness to take action (or A-C-O-W) as components of a newly developed customer organization profiling matrix for challenger marketing.

The A-C-O-W customer organization profiling matrix offers a fresh conceptual outlook for targeting customer organizations using a challenger marketing approach in the contemporary business-to-business (B2B) marketplace.

The A-C-O-W customer organization profiling matrix illuminates how challenger marketers can target the right customer organizations in the contemporary B2B marketplace.

The A-C-O-W customer organization profiling matrix is a pioneering concept for challenger marketing in B2B theory and practice.

The purpose of this paper is to provide a clear understanding of the performance of business‐to‐business (B2B) e‐marketplace in conducting e‐marketing in the global business environment. The proposed framework is intended to be used as a guide for B2B firms especially small and medium sized enterprises (SMEs) who wish to adopt a proactive approach in the use of information and communication technology for business efficiency and competitive advantage, and those who wish to explore the internet technologies for marketing activities.

Literature from the B2B e‐marketplaces and operations of e‐marketing fields were analysed, and the findings were synthesised to develop a preliminary conceptual model of e‐marketing. The conceptual model was tested empirically through an online survey from various industries in China, Malaysia, and Singapore.

With significant online and offline publications from both academia and industry, there is a growing awareness of the contribution of the e‐marketing in the global environment. This new marketing paradigm is reported to reshape the business relationships between both consumer marketers and consumers, improving business processes and enhancing the business exposure in the new markets.

The major limitation of this paper is associated with the sample selection. Although the literature findings were international, the empirical study was restricted to China, Malaysia, and Singapore. Therefore, the generalizability of the results may not be applicable for other countries. Furthermore, the majority of the respondents participated were SMEs. Hence, the applicability of findings to large‐scale organisations may be limited.

The framework allows B2B firms to capitalise and understand the e‐marketing opportunities provided by B2B e‐marketplace. The framework also offers guidance to marketing managers a most appropriate approach to adopt B2B e‐marketplace to perform their e‐marketing activities.

Based on the need for a framework for e‐marketing, this study is significance to: SMEs, marketers, information technology practitioners, and all other stakeholders that adopted the internet and other electronic means for marketing purposes.

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.

The purpose of this paper is to review extant literature on social media marketing (SMM) in B2B service markets, by scrutinizing and categorizing potential benefits for firms. The study, in particular, empirically investigates the adoption of social media (SM) tools by firms operating in two conservative B2B service industries.

A systematic literature review is carried out driving to a deeper understanding of the current state of knowledge on SM in B2B services. Leading peer-review international journals are scrutinized performing ad-hoc queries on the Scopus database using pre-defined keywords. Moreover, a quantitative research is conducted on 60 firms, i.e. tanker shipping companies and ocean carriers, providing empirical insights on their SM activity on three SM platforms, i.e., Facebook, Twitter, and LinkedIn.

The outcomes from sample firms shed lights on the adoption rate of the most diffused SM tools, the size of the digital networks of stakeholders (number of followers), the intensity of the communication activity (number of posts, shares, photos, videos), and the level of customer engagement (number of likes and shares).

Research findings suggest to managers that SMM might be an easy-accessible and low-cost option for keeping the pace of sectorial transformations and creating a competitive advantage even in conservative sectors.

The paper, by investigating B2B service sectors, addresses an interesting gap in SMM literature as prior studies mostly focused on B2C industries and manufacturing contexts.

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.

In these economically and ecologically challenging times, the purpose of this paper is to investigate how innovation theory can be used to design more effective, proactive B2B green marketing strategies in order to meet the triple bottom line of economic, social, and ecological sustainability.

This conceptual paper provides a literature review of green marketing strategies and competitive advantage, and relates it to diffusion of innovation theory in a new way. First, a brief overview is described of corporate social responsibility (CSR) theories related to green marketing, with this paper providing value by adding innovation theory to address the gap in the literature. Next, a discussion is provided on reactive and proactive B2B green marketing strategies, degrees of innovation, and diffusion theory research, and propositions are developed. Then, a new model is presented on B2B green marketing innovation strategies and competitive advantage. Next, a conceptual analysis is presented using a diffusion of innovation characteristics framework to show relationships of the innovation characteristics with proactive B2B green marketing strategies and competitive advantage.

Five propositions are developed to reflect the relationship of B2B green marketing strategies with types of innovations and competitive advantage. In addition, a conceptual analysis found seven areas of B2B proactive green marketing strategies related to the diffusion of innovation characteristics. Findings also showed diffusion characteristics are associated with 11 key benefits of sustainable B2B green marketing competitive advantage.

Limitations and managerial implications are discussed. Also, this paper suggests recommendations related to diffusion of innovation characteristics in future research.

This paper provides a diffusion of innovation characteristics framework to test the effectiveness of B2B green marketing strategies and to help generate competitive advantages in an ecologically‐sustainable way. Managerial implications are discussed on how organisations can achieve successful competitive advantage while contributing to environmental sustainability for the common good of society.

This study addresses a gap in the literature on environmental/green marketing by being the first study to expand the CSR category of instrumental theories to include diffusion of innovation theory. Diffusion of innovation theory is applicable to green marketing because it includes new innovations (products, services, processes, etc.). An application of diffusion of innovation characteristics and their relationship to proactive B2B green marketing strategies can help shed light on how to increase the rate of adoption for green products, services, and processes to create a competitive advantage, and at the same time, help move the world toward greater ecological sustainability.

This study aims to introduce the special issue on digital marketing and business-to-business (B2B) relationships. In general, only modest attention has been devoted to the study of digitalization in the B2B sector and even less on the importance of the perils and promises of digitalization for B2B relationships. This study’s goal is to help focus scholarly attention on the implications of digitalization on B2B relationships.

In this conceptual paper, the authors’ approach is to carefully review relevant literature, and to lay out the field of digital marketing and B2B relationships, conceptualizing it for future research.

The authors find that the following areas are critically important to understanding future trends in digital marketing and B2B relationships: coopetition, value co-creation, B2B branding, servitization, innovation networks, relationship dynamics and power and trust.

The intersection of digitalization and B2B relationships is an under-researched topic. With this paper and the accompanying special issues papers, the authors hope to begin to fill this critical gap.

The purpose of this paper is to investigate how business-to-business (B2B) companies operating in durable goods use digital communications after the COVID-19 outbreak. In particular, this paper focuses on the objectives of these digital communication tools for the marketing strategies of B2B white goods firms.

As the research objective is explorative, the authors conducted a qualitative analysis by collecting 13 semi-structured interviews with B2B marketing professionals working for white goods firms in Italy. Primary data was triangulated with secondary data about the white goods industry, such as sector reports.

The findings of this paper show an acceleration in the adoption of digital communication tools among B2B firms after COVID-19. The authors also discuss the effects in the use of such tools both in the short and long term.

This paper attempts to contribute to the B2B marketing literature by providing an original analysis of the consequences of the COVID-19 outbreak focusing on the use of digital communication tools among white goods firms. It also provides managerial implications for firms operating in B2B.

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.

The purpose of this paper is to explain the technological phenomenon artificial intelligence (AI) and how it can contribute to knowledge-based marketing in B2B. Specifically, this paper describes the foundational building blocks of any artificial intelligence system and their interrelationships. This paper also discusses the implications of the different building blocks with respect to market knowledge in B2B marketing and outlines avenues for future research.

The paper is conceptual and proposes a framework to explicate the phenomenon AI and its building blocks. It further provides a structured discussion of how AI can contribute to different types of market knowledge critical for B2B marketing: customer knowledge, user knowledge and external market knowledge.

The paper explains AI from an input–processes–output lens and explicates the six foundational building blocks of any AI system. It also discussed how the combination of the building blocks transforms data into information and knowledge.

Aimed at general marketing executives, rather than AI specialists, this paper explains the phenomenon artificial intelligence, how it works and its relevance for the knowledge-based marketing in B2B firms. The paper highlights illustrative use cases to show how AI can impact B2B marketing functions.

The study conceptualizes the technological phenomenon artificial intelligence from a knowledge management perspective and contributes to the literature on knowledge management in the era of big data. It addresses calls for more scholarly research on AI and B2B marketing.