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The purpose of this paper is to offer a comprehensive overview of current research on customer behavior in the business-to-business (B2B) context and propose a research agenda for future studies. Despite being a relatively recent area of interest for academics and practitioners, a literature review that synthesizes existing knowledge into coherent topics and outlines a research agenda for future research is still lacking.

Drawing on a systematic literature review of 219 papers and using a text-mining approach based on the Latent Dirichlet Allocation algorithm, this paper enhances the existing knowledge of B2B customer behavior and provides a descriptive analysis of the literature.

From this review, ten major research topics are found and analyzed. These topics were analyzed through the lens of the Theory, Context, Characteristics and Method framework, providing a summary of key findings from prior studies. Additionally, an integrative framework was developed, offering insights into future research directions.

This study presents a novel contribution to the field of B2B by providing a systematic review of the topic of customer behavior, filling a gap in the literature and offering a valuable resource for scholars and managers seeking to advance the field.

The learning outcomes of this case study are to understand the business model canvas and value propositions and apply advanced business innovation tools in electric vehicle business models; evaluate the current cargo vehicle scenarios at national and global levels and draw out the possibilities and costs for a new player; extrapolate the future scenario of the cargo economy, its electrification and positioning in a business-to-business (B2B) and business-to-customer (B2C) segment, especially for a developing economy; and improve the student’s ability to get organisational buy-in and execute new business models.

LoadExx is a fully electrified electric cargo service focusing on logistics in Kolkata, a metropolitan city in the eastern part of the country. The service of LoadExx commenced in January 2021 in the B2B segment after overcoming its then issues of driver hesitancy and customer anxiety and financial issues to adopt electrified cargo systems. The conundrum faced by LoadExx in its commencement thus had been solved under the able guidance of its owner Amit Arora. The case study was positioned four months after the commencement of LoadExx. To gain market power and traction, Arora and his team came up with the idea of market expansion. However, the current conundrum was whether LoadExx would enter the B2C segment in its current location or expand with the same business model to other parts of the country. The expansion was to be implemented in the immediate future to retain its rarity and reduce the imitability of the business model of LoadExx. This case study details the logistics and market operations of the cargo sector, especially electric cargo, in a developing economy, especially India. A teaching note supplementing the “Cracking the conundrum of e-cargo logistics: curious case of LoadExx” case study has been provided.

This case study is designed for undergraduate and postgraduate students and senior management professionals in executive education programmes undertaking courses in logistics management and supply chain operations and related cargo logistics courses. This case study denotes integrating key processes from end-users and gaining the trust of drivers, thereby showing the perspective of the plight and conundrums of a cargo aggregator working in the B2C segment. This case study could be used to discuss concepts related to not-for-profit firms, aggregators, policymakers and think tanks.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

This research investigates the impact of strategic research and development (R&D) (one led by a firm’s innovation orientation) on stock market performance during the economic disruption caused by the 2016 demonetization of high-value currency notes in India. It shows how firms’ strategic focus on innovation and integrated R&D initiatives can help mitigate shareholders’ losses and protect market value during negative macroeconomic shocks.

We analyzed financial and administrative data from firms listed in the Bombay Stock Exchange (BSE) 500 index and used the Fama French market model with appropriate instruments accounting for possible endogeneity to identify the impact. To ensure the reliability of our findings, we conducted robustness checks with alternate event windows, estimation methods, and variable measurements.

Strategic R&D plays a crucial role in building resilience against macroeconomic shocks. It effectively mitigated shareholders’ losses in the immediate aftermath of the shock, with an elasticity of abnormal returns of 7.65% on day zero, 13.1% during the first five days and 10.5% after the first fortnight. We also find that firms that are business-to-business (B2B), as well as those that are older and less leveraged, are better able to combat such a shock.

The study looked at one shock, namely demonetization. Future research is needed to demonstrate the generalizability of results during other macroeconomic shocks, like the COVID-19 pandemic. The study focuses on relatively near-term impacts, leaving the long-term value-creation effects of strategic R&D unexplored.

Innovation orientation acts as a structural enabler, allowing firms to make strategic R&D investments that mitigate losses during macroeconomic shocks. It explains that managers should avoid myopically managing R&D investments and align them with the firm’s innovation focus to enhance value creation.

While the currency demonetization was widely considered to be detrimental for firms as an unannounced negative monetary shock, our research shows that firms with high levels of strategic R&D were successfully able to counteract such a shock.

This is the first study to examine the short-term loss mitigation impact of firms’ focus on innovation and strategic R&D. It emphasizes the role of innovation-focused strategies during economic crises.

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.

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.

Business organizations are evermore expected to behave conscientiously, but a lack of clarity remains regarding this strategy for business-to-business (B2B) brands. This paper aims to develop and validate a B2B brand conscientiousness model that identifies what factors are driving this approach.

The research model is validated through a three-stage study that collects insights from high-level executives, mid-level managers and employees in B2B firms. Whereas the first two exploratory stages follow a qualitative approach to identify what factors motivate B2B firms to be conscientious and develop a model, the third stage empirically tests the proposed model through structural equation modeling.

The results suggest that brand conscientiousness is viewed as an important strategy by B2B stakeholders. Whereas perceived risk discourages, external and internal stakeholder expectations and a firm’s financial commitment to a cause encourage, brands to pursue a conscientious approach. Furthermore, a B2B conscientious strategy must be perceived as authentic. Long-term commitment to the cause, strategic alignment of brand values with the cause and a congruent delivery of the brand’s promise are the drivers of this perceived authenticity.

This paper contributes to the emerging knowledge on B2B conscientious brands by confirming the importance of this approach in a B2B context, identifying the factors that B2B stakeholders – executives, managers and employees – believe are driving it and highlighting the importance and identifying the factors that drive its perceived authenticity.

Drawing on the social presence theory, this study aims to explore how supplier–customer social media interactions influence supplier observers’ trust in the customers and what mechanisms contribute to variation in trust experience.

A total of 36 semi-structured interviews were conducted with Chinese suppliers using WeChat for business-to-business interactions. Data were analyzed in three steps: open coding, axial coding and selective coding.

Findings reveal that varied trust is based not only on the categories of social presence of interaction – whether social presence is embedded in informative interactions – but also on the perceived selectivity in social presence. Observer suppliers who experience selectivity during social and affective interactions create a perception of hidden information and an unhealthy relationship atmosphere, and report a sense of emotional vulnerability, thus eroding cognitive and affective trust.

The findings contribute new understandings to social presence theory by exploring the social presence of interactions in a supplier–supplier–customer triad and offer valuable insights into business-to-business social media literature by adopting a suppliers’ viewpoint to unpack the mechanisms of how social presence of interaction positively and negatively influences suppliers’ trust and behavioral responses.

The purpose of this study is to conceptually integrate business to consumer (B2C) into business to business (B2B), with a holistic consumer-centric, technology-reinforced, long-term vision for tourism industries and companies to survive and succeed in the era of new technologies 4.0. The research suggests that the tourism-marketing-new technologies decision-making involves customers as the center of the design and decision process.

The research design includes a qualitative study with 94 in-depth interviews, a literature analysis and a conceptual proposition. The qualitative study follows the tourism consumer desire data analysis, from categorization to integration. The literature analysis applies a systematic literature review approach based on the 29 most up-to-date new-tech papers from peer-reviewed journals. The analysis compares qualitative research findings and literature analysis results and matches the new technology applications with consumer desire understanding. The conceptual framework of tourism marketing/advertising is proposed based on qualitative research and literature analysis.

The qualitative research deciphers that consumers, based on their imagination and memorization, desire therapy and sceneries and connect such desires to the empathetic and resonating advertising messages. The literature analysis synthesizes the new tech applications in tourism and matches the qualitative research findings with the deciphered desires in tourism. The conceptual model proposes that B2C should be integrated into B2B to provide value for both consumers and businesses and opens avenues of research on this topic.

This research has made the following theoretical contributions: it offers an in-depth understanding of consumer desire, often hidden or subconscious, in the field of tourism. Consumer desires regarding tourism are mostly subconscious and exist long before consumers are exposed to advertising messages. These desires reflect the search for therapy and sceneries and become “embodied” – they exist on multisensorial levels and become part of the body and life and will lead consumers into positive perceptions when marketing communications/advertisements resonate with them. In the latter case, they will subjectively judge advertising as “good,” regardless of the advertising design quality. The research also connects consumer research with a new technologies research review and proposes a conceptual framework to integrate business to consumer (B2C) with business to business (B2B). As such, the research makes theoretical contributions to the integration or the “boundary blurring” between B2C and B2B research and practical suggestions that involved industries and consumers may all benefit from such integration. Conceptually, there is a lack of discussions of the pitfalls of new technologies, a dearth of empirical verification of the applications of new technologies in the proposed fields and a shortage of discussions about ethical issues. Qualitative methods, offering an efficient tool for understanding consumer desires in the tourism industry, have their own limits, as discussed in previous research. The sample is limited to the state of New York population and may be influenced by geographic, demographic and psychological characteristics related to the region.

This research provides advertising practitioners, new technology innovators and tourism industries with a framework to face the combined challenges of understanding hidden consumer desires and applying adequate technologies that resonate with consumer desires to tackle relevant issues. The conceptual proposition of this research fills the gap between qualitative consumer research without concrete practical resolution and new technologies applications without in-depth consumer understanding. Through the conceptual framework, the author provides insights into how industries may benefit from consumer understanding. The business relationships among the industries of marketing, tourism and new technologies should be centered around consumers. Thus, B2C and B2B should be naturally integrated into business practices.

Social implications of this research include three major points: first, the understanding of consumer desire for therapeutic power in tourism, which invites more attention to tourism as part of social well-being design instead of a purely for-profit business. Second, a profound comprehension of what consumers need and desire, without which the applications of new technologies may cause severe societal problems. Third, a way to tailor to consumers’ individuality and desires for advertising/marketing that may be considered abusive, stressful and socially destructive if applied in a nonpersonal manner.

Conceptually, this research adds consumer desire, an originally B2C concept, to the B2B context regarding the new technology applications in tourism marketing/advertising. It contributes to the B2B literature by proposing a strong consumer-centric approach, especially the consumer desire understanding, that is not yet investigated in the B2B literature; and a combination of empirical study and literature analysis and the matching of the two for better practice of advertising/marketing, tourism and new technologies applications.

This study aims to explore the direct and indirect effects of sales opportunism and sales conflict as well as of non-economic and economic satisfaction in business-to-business (B2B) sales relationships. This understanding offers B2B buyers enhanced knowledge of sales business expectations towards sustainable business relationships in the future.

Through self-administered questionnaires, data were obtained from 237 sales or marketing managers/directors of small- and medium-sized companies across industries in Spain, who were randomly contacted via LinkedIn. The multivariate analysis of measurement and structural models was based on IBM SPSS Amos 27.

The study confirms that sales opportunism positively affects sales conflict. Moreover, sales opportunism is negatively associated with non-economic sales satisfaction, whereas non-economic sales satisfaction is positively associated with economic sales satisfaction. Consequently, if all associates are pleased with the relationship and the gains it can provide, a long-standing orientation can be achieved.

The study expands existing theory on seller–buyer relationships in a B2B context. It contextualises direct and indirect relationships between two antecedents (sales opportunism and sales conflict) and two postcedents (economic sales satisfaction and non-economic sales satisfaction) in sales business–buyer settings.

The study guides buyers in B2B relationships towards an improved understanding of how sales businesses perceive opportunism and conflict (as negative precursors) to impact non-economic satisfaction and how it can influence economic satisfaction.

Most studies explore B2B relationship building from the perspective of the buyer, thereby creating a shortfall in developing an understanding of all partner expectations in B2B relational intent. Moreover, the measurement of satisfaction as a multidimensional construct secured the integration of non-economic satisfaction and economic satisfaction within a single model allowing the constructs measured in this study to be holistically assessed.

Machine learning (ML) techniques are increasingly important in enabling business-to-business (B2B) companies to offer personalized services to business customers. On the other hand, humans play a critical role in dealing with uncertain situations and the relationship-building aspects of a B2B business. Most existing studies advocating human-ML augmentation simply posit the concept without providing a detailed view of augmentation. Therefore, the purpose of this paper is to investigate how human involvement can practically augment ML capabilities to develop a personalized information system (PIS) for business customers.

The authors developed a research framework to create an integrated human-ML PIS for business customers. The PIS was then implemented in the energy sector. Next, the accuracy of the PIS was evaluated using customer feedback. To this end, precision, recall and F1 evaluation metrics were used.

The computed figures of precision, recall and F1 (respectively, 0.73, 0.72 and 0.72) were all above 0.5; thus, the accuracy of the model was confirmed. Finally, the study presents the research model that illustrates how human involvement can augment ML capabilities in different stages of creating the PIS including the business/market understanding, data understanding, data collection and preparation, model creation and deployment and model evaluation phases.

This paper offers novel insight into the less-known phenomenon of human-ML augmentation for marketing purposes. Furthermore, the study contributes to the B2B personalization literature by elaborating on how human experts can augment ML computing power to create a PIS for business customers.