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Digital technologies are essential for improving efficiency and unlocking new opportunities in various domains. The purpose of this study is to assess whether digital technologies can ameliorate servitization among manufacturing firms via the interaction of organizational slack and research and development (R&D) intensity.

Drawing on resource-based and service-dominant logic, the study employs a deductive approach and gathers empirical evidence from 1,929 listed A-shares manufacturing firms in the top-seven China mainland industrial provinces spanning the period 2012–2021. It used fixed-effect logistic regression techniques while controlling for various factors to analyze the relationship between digital technologies and manufacturing firm servitization.

The findings revealed that digital technologies significantly ameliorate manufacturing firms' servitization. Moreover, the study uncovers the contingent nature of this relationship, demonstrating that high levels of both internal and external slack, which provide flexibility and support, intensify the direction of digital technologies towards servitization. Additionally, R&D intensity reflects the firm's commitment to innovation, thereby enhancing synergistic effects in the relationship.

This study contributes robust and comprehensive empirical evidence that validates and establishes a clear baseline relationship reflecting the most current digital technology landscape and its implications for manufacturing firms servitization. Moreover, it provides a more patterned understanding of how internal and external slack typologies and R&D intensity contextualize our study’s findings. Additionally, it demonstrates how our theoretical synthesis advances firms’ strategic shifts towards service-oriented business models through digital technologies.

Knowledge management (KM) capability plays an important role in the promotion of firm performance in the knowledge economy era. However, empirical evidence on how KM capability affects firm performance is still limited. The study therefore aims to explore the impacts of internal and external KM capabilities on firm performance via the parallel mediation of efficiency-centered and novelty-centered business model innovations (BMIs).

The authors empirically analyzed a survey data of 295 Chinese innovative enterprises by applying partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

According to the results of PLS-SEM, the relationship between internal KM capability and firm performance is not significant, instead it is fully mediated by efficiency-centered and novelty-centered BMIs. External KM capability can directly and positively affect firm performance, while the relationship is also partially mediated by BMIs. Furthermore, the authors recognized the antecedent conditions for high-level and low-level firm performance by fsQCA analysis, which substantiate the above findings.

It not only enriches the literature that links KM and innovation management but also contributes to the new theoretical perspective on firm sustainable growth. Methodologically, it combines symmetric and asymmetric analyses together. Additionally, it provides some insights for managers to understand how KM capability drives firm performance through BMI.

The increased digital interactions in the B2B industry have enhanced the importance of customer engagement as a measure of firm performance. This study aims to map and analyze temporal and spatial journeys for customer engagement in B2B markets from a bibliometric perspective.

The extant literature on customer engagement research in the B2B context was analyzed using bibliometric analysis. The citation analysis, keyword analysis, cluster analysis, three-field plot and bibliographic coupling were used to map the intellectual structure of customer engagement in B2B markets.

The research on customer engagement in the B2B context was studied more in western countries. The analysis suggests that customer engagement in B2B markets will take centre stage in the coming times as digital channels make it easier to track critical metrics besides other key factors. Issues like digital transformation, the use of artificial intelligence for virtual engagement, personalization, innovation and salesforce management by leveraging technology would be critical for improved B2B customer engagement.

The study provides a comprehensive reference to scholars working in this domain.

The study makes a pioneering effort to comprehensively analyze the vast corpus of literature on customer engagement in B2B markets for business insights.