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The purpose of this study is to empirically explore the predictors of e-marketing use continuance intention in the pharmaceutical business to business (B2B) supply chain during the COVID-19 pandemic.

This study adopted survey research strategy, and data were collected from managers dealing with marketing in 127 pharmaceutical firms in Harare Zimbabwe using a self-reported questionnaire. Partial least squares structural equation modeling (PLS-SEM) was employed to test the hypotheses.

Leadership support and perceived usefulness are significant predictors of e-marketing continuance intentions. The effect of perceived susceptibility and perceived severity on e-marketing use continuance intention was not significant. Perceived usefulness is a positive moderator in the relationship among leadership support, perceived susceptibility and e-marketing use continuance intention. However, the moderating effect of perceived usefulness created a significant but negative relationship between perceived severity and e-marketing use continuance intention.

This study provides empirical evidence of the moderating role of perceived usefulness in the relationships between e-marketing continuance intention and its predictors.

In the past few decades, relationship management (RM) theory and RM strategies in business-to-business (B2B) contexts have evolved tremendously, driven by constant innovation. Hence, the purpose of this study is to understand the trends and evolution of RM and relationship quality (RQ) in B2B contexts and empirical insights on RM and RQ in B2B, which in turn would provide insights into trends and future research directions.

Grounded on the industrial marketing and purchasing group, this study adopts a critical systematic literature review to provide a comprehensive analysis of the past, current and future trends in empirical research insights of RM and RQ in B2B markets.

This study provides some novel insights into RM in B2B context by using a multidimensional approach to RM and RQ and analyzing prior marketing research from three perspectives: the evolution of RM and RQ in B2B context; prior empirical research; and practical business insights. Overall, these perspectives inform the development of an evolving side of RQ in B2B contexts, leading to some predictions regarding the future of RM in B2B markets.

The exploratory results of this study shed light on the key factors that drive RQ and the importance of RM in B2B markets in the digital age where customers still long for human interaction regardless of the prevalence of advanced technology.

In the wake of advanced technologies and particularly, B2B companies had to turn to virtual platforms and embrace digital transformation to establish and manage their customer relationships. Yet, managing relationships via digital channels has its own challenges for both B2B practitioners and scholars. This indicates that there is still a huge need for attuned RM strategies that align with the changing environments – mainly driven by technological advancement – in B2B markets.

The purpose of this study is to understand customer experience (CX) in business-to-business (B2B) markets through the perspectives of buyer–seller dyads. This study aims to evaluate how customer journey, touchpoints and digital and social media (DSM) influence CX and offer avenues for sellers to align their efforts with buyers’ requirements to create and manage CX.

Integrating insights of practicing buyers and sellers in the pharmaceutical B2B industry, this study follows the phenomenological approach to understand their experience through their perspectives on the customer journey, touchpoints and DSM.

The findings of this study include convergence in the perspectives in journey stages, journey enablers, stakeholder involvement, touchpoint preference and DSM’s use. The study findings also include divergence in perspectives in the senior management engagement, journey enablers, selling center involvement, DSM purpose and usage of DSM platforms. These offer opportunities for sellers to align with buyer journey, touchpoints and DSM to create and manage CX.

Sellers in pharmaceutical B2B markets have been dependent on traditional knowledge to influence customer journey and touchpoints and the advent of DSM has enhanced the challenge. To avoid this confusion, sellers need to have clarity of customers’ expectations on the journey, touchpoints and DSM. This enables sellers to allocate their resources better to achieve the desired outcome in CX.

This first-of-its-kind study captured the convergence and divergence perspectives of pharmaceutical B2B buyer–seller dyads from the lens of the uncertainty reduction theory and social penetration theory. The study suggests opportunities for pharmaceutical sellers to create and manage CX.

The purpose of this research is to undertake a bibliometric analysis of digital marketing research in small and medium enterprises (SMEs). The study examines papers over the last two decades and performed performance analysis, co-citation analysis, bibliographic coupling and scientific mapping.

The study examines 247 documents retrieved from the Scopus database using bibliometric analysis, performance analysis and thematic clustering. The study looked at the scientific productivity of papers, prolific authors, most influencing papers, institutions and nations, keyword co-occurrence, thematic mapping, co-citations and authorship and country collaborations. VOSviewer was employed as a tool in the research to conduct the performance analysis and thematic clustering.

The most productive year was 2021 with 56 publications and the most impactful institute and countries are the University of Birmingham, UK, and the country is United Kingdom, respectively. Similarly, the most influential journal is “Industrial Marketing Management”, and the most productive journal is “International Journal of Internet Marketing and Advertising”. Furthermore, the most cited article is “Usage, barriers and measurement of social media marketing: An exploratory investigation of small and medium B2B brands”. The authors also identified five thematic clusters of digital marketing research in SMEs.

It informs and directs researchers on the current state of study in the field of digital marketing literature in SMEs. It also outlines future research directions in this field.

This is the first study which provides the performance analysis and scientific mapping of the digital marketing literature in SMEs.

Grounded in strategic fit theory, this study aims to identify external and internal factors that influence retailers’ strategic choices regarding their own product brands. Furthermore, it seeks to explore the variations between different own product brand strategies in achieving both external and internal strategic fit.

The systematic review method, incorporating a thematic analysis, was adopted, and 318 articles were included for review.

The factors that influence retailers’ strategic choices regarding their own product brands encompass a range of external macro and industrial environmental factors, along with various internal resource and capability factors. Moreover, the effects of these factors vary across different own product brand strategies.

To our knowledge, this is the first systematic review of research on retailers’ own product brands from a strategic management perspective, offering systematic and structured guidance for retailers.

The public sector (PS) has extensively utilized information technology (IT); however, research reveals that the failure rate remains high, particularly for national and sectoral IT (NaSIT) applications. To this end, numerous studies have been conducted to gauge the success of IT applications, where a significant number have demonstrated the importance of planning in this regard. Consequently, the current study aims to investigate the factors that influence the success of NaSIT planning and implementation within this sector.

A qualitative methodology and a systematic literature review encompassing papers indexed in seven databases until November 2022 were utilized.

The review of 92 selected papers revealed that the success of NaSIT planning and implementation is influenced by a number of factors divided into nine main categories. These include vision, goals and objectives; alignment; interoperability; infrastructure; involvement; equity and digital divide; privacy, security and trust; administration; and culture. Human, social, economic and organizational factors comprise the vast majority of these factors. By addressing these factors, the failure rate of IT plans can be reduced. Governments will be able to effectively employ this technology to accomplish their missions if these factors are considered in order to decrease the failure rate of IT plans.

By examining the factors that influence the success of NaSIT planning and implementation in the PS, this study attempts to provide a comprehensive view of various types of research. Furthermore, policymakers can employ this perspective to improve the efficiency and effectiveness of the PS.

It is crucial for the Indian micro, small and medium enterprises (MSMEs) to implement a few of the most important Industry 4.0 (I4.0) technologies and reap maximum benefits of sustainability. This paper aims to prioritize I4.0 technologies that can help achieve the sustainable operations and sustainable industrial marketing performance of Indian manufacturing MSMEs.

I4.0-based sustainability model was developed. The model was analyzed using data collected from MSMEs by deploying analytic hierarchy process and utility-function-based goal programming. To have a better understanding, interviews were conducted.

Predictive analytics, machine learning and real-time computing were found to be the most important I4.0 technologies for sustainable performance. Sensitivity analysis further confirmed the robustness of the results. Business-to-business sustainable marketing is prioritized as per the sustainability need of operations of industrial MSME buyers.

This study uniquely integrates literature and practitioners’ insights to explore I4.0’s role in MSMEs sustainability in emerging economies. It fills a research gap by aligning sustainability goals of industrial buyers with suppliers’ marketing strategies. Additionally, it offers practical recommendations for implementing technologies in MSMEs, contributing to both academia and industry practices.

This study investigates the influence of e-marketing risks on a Corporation’s Reputation (CR) resulting from its online marketing of products and services.

A comprehensive analysis was conducted to enhance the company’s e-marketing strategies and bolster its reputation in the market. This involved an investigation into key factors of e-marketing risks, such as customer confidence, product quality, marketing fraud, credibility and customer knowledge and proficiency in using online platforms. These factors have directly impacted the company’s reputation, including aspects such as product/service quality, attractiveness, performance and commitment to social responsibility.

Its finding indicates that customers' lack of confidence in e-marketing has a strong impact on CR, followed by product quality and credibility. The absence of consumer awareness about e-marketing websites and e-fraud frequently negatively affects the organizational reputation.

To enhance the corporation’s reputation, it is recommended that companies provide educational resources on online shopping, including guidance on using the company’s website, comparing prices and other services that facilitate online purchases. This will help to support the credibility of e-marketing and enhance customer trust.

This research is an exploration of how e-marketing has affected a Corporation’s Reputation. It provides modern knowledge about the dynamic interplay between digital strategies and brand perception. Investigating this relationship provides valuable insights into the evolving landscape of consumer trust in the digital age. By analysing the various ways in which e-marketing influences a company’s reputation, innovative approaches can be developed to enhance its online presence and build lasting customer trust.

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.

This study aims to explore the role customer satisfaction play in mediating the nexus between commitment, trust, relative dependence and customer loyalty from an emerging market context under a business-to-business (B2B) setting.

The study was a descriptive survey, and using convenience sampling technique, questionnaires were used to gather data from 356 businesses that were distributors of Guinness Ghana Company Limited. Partial least squares structural equation modeling was used to test the proposed hypotheses for this study, and macro-PROCESS was performed to test the mediating effect of customer satisfaction.

The findings show that relative dependence had the most considerable significant and positive impact on B2B partners satisfaction, followed by commitment and trust, respectively. A positive and significant relationship was also found between B2B firms’ satisfaction and loyalty. The result also indicates that customer satisfaction mediates the relationship between commitment, trust, relative dependence and B2B loyalty.

Practitioners can manipulate specific relative dependence, commitment and trust features to increase customer satisfaction with their firm’s services, thus ensuring longer-term customer loyalty.

Drawing on the social exchange theory, this study provides a more profound perspective focusing on an emerging market context, by examining from a B2B setting the significance of commitment, trust, relative dependence and B2B partners satisfaction on loyalty.