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The purpose of this study is to examine the mechanisms of absorptive capacity (ACAP) in the specific context of digital product development teams. More precisely, it explores the process of internalizing and utilizing external knowledge from sources outside the team to promote the development of innovative ambidexterity.

The study employs the ACAP framework and directs specific attention to the concept of knowledge assimilation, encompassing comprehension, documentation and dissemination. Seventy-five employees of one of Indonesia’s largest commercial banks were surveyed about two initiatives they participated in. To this end, 12 research hypotheses are formulated, tested and analyzed using structural equation modeling.

Knowledge comprehension, documentation and dissemination are found to mediate between knowledge acquisition and knowledge exploitation. At the same time, the relationship between knowledge acquisition and knowledge transformation is mediated by knowledge comprehension and dissemination, but not documentation. The authors also found that knowledge transformation positively mediates between knowledge comprehension and dissemination on the one hand and ambidexterity on the other hand. Importantly, knowledge exploitation negatively mediates between knowledge comprehension and documentation on the one hand and ambidexterity on the other hand.

This study contributes to the existing body of knowledge by offering nuanced insights into the interplay of knowledge assimilation processes within ACAP, particularly in the context of digital product development. The identification of mediating factors and their impacts on ambidexterity provides valuable implications for both theory and practice in this domain.

The present study aims to identify the antecedents and consequences of blockchain adoption in the wine industry from the absorptive capacity perspective through a multiple case study approach.

A multiple case study approach was utilized, wherein data was gathered through semi-structured interviews and secondary sources of information from the five Italian innovative wineries.

The results show that the dynamic capabilities of wineries and the creation of strategic partnerships are common conditions for the adoption of blockchain technology (BCT). In addition, findings reveal that creating value for all supply chain stakeholders and preventing counterfeit products are the most important consequences of BCT adoption.

This study fills a gap in the literature by investigating the drivers of BCT technology adoption under two theoretical lenses, Absorptive capacity and Dynamic capability theories, confirming the usefulness of these two theories in explaining the process of innovation adoption.

The originality of our research study lies in its investigation of the antecedents and consequences of BCT adoption in the wine supply chain, focusing specifically on the role of dynamic capabilities, knowledge acquisition and assimilation, strategic partnerships and open interactions with external actors in driving technological innovation and the successful implementation of BCT in the wine industry. By offering empirical data on the drivers and impacts of BCT adoption, as well as theoretical implications for technological innovation and value creation in the wine sector, our study contributes to filling gaps in the existing literature and provides practical insights for wineries and AgTechs seeking to integrate BCT into their business models.

This research fills a gap in digitalization project studies by exploring them through the lens of organizational learning. It investigates the impact of uncertainty on digitalization project success and the role of absorptive capacity.

A mixed-methods approach is adopted, incorporating qualitative and quantitative analyses. The qualitative part assesses how uncertainty affects digitalization project success, while the quantitative side explores absorptive capacity as a mediating factor between adaptability to uncertainty and project success.

The qualitative results uncover challenges facing digitalization projects under uncertainty and suggests coping strategies at individual, project, and organizational levels. Quantitative results show that both potential and realized absorptive capacities significantly mediate the link between adaptability to uncertainty in the environment and project success.

This research offers new insights into digitalization project studies, merging organizational learning theory with a mixed-methods approach. It highlights how uncertainty and absorptive capacity influence digitalization project success.

The purpose of this research is to examine the impact of crowdsourcing-based social connections on the development of innovation competence (IC). The conflicting results in existing studies regarding the influence of crowdsourcing-based social linkage on IC necessitate a thorough investigation into this relationship.

The research uses a sample of 300 senior managers from various industries in India. The data is analyzed using partial least squares (PLS), a component-based approach to structural equation modeling.

The results of the analysis indicate that knowledge transfer effectiveness and absorptive capacity (ABC) play a significant role as mediators in the relationship between social linkages based on crowdsourcing and IC. This suggests that the effectiveness of knowledge transfer and the organization’s ability to absorb and apply new knowledge are crucial factors in leveraging crowdsourcing-based social connections for enhanced innovation capabilities.

The findings of this study hold crucial implications for managerial practices. The research highlights that successful crowdsourcing outcomes necessitate more than mere establishment of external social linkages. Managers must recognize that internal organizational readiness plays an equally critical role. This study offers two key managerial insights: first, exclusive focus on external linkages is inadequate; internal capabilities such as ABC and optimized knowledge transfer processes must be actively nurtured. Second, the concept of “crowdsourcing maturity” is introduced, emphasizing the evolving dynamic capabilities over time. Managers are urged to adopt a balanced approach, aligning external partnerships with internal adaptability, to fully optimize IC.

This research contributes to the existing body of knowledge by shedding light on the mediating variables that influence the conversion of crowdsourcing-based social linkage into improved IC. By considering the role of knowledge transfer effectiveness and ABC, the study provides insights into the mechanisms through which social linkages based on crowdsourcing can impact innovation capabilities. These findings offer valuable implications for organizations seeking to leverage crowdsourcing for innovation purposes and enhance their overall IC.

This study investigates the interaction between organizational strategic factors (Leadership and management support [LMS] and green learning orientation [GLO]) and green innovation performance (GIP), through the lens of resource-based view (RBV) theory. It examines both the direct and indirect impacts of these factors on GIP via green knowledge management (GKM), and explores how green absorptive capacity (GAC) enhances these relationships.

Using Partial least squares structural equation modeling (PLS-SEM) and moderated mediation analysis, we analyzed responses from 419 individuals across 154 manufacturing firms in Pakistan to understand these dynamics.

Results show that LMS and GLO significantly affect GIP, both directly and indirectly, through GKM. Furthermore, GAC intensifies the impact of GLO on GKM and the influence of GKM on GIP, indicating a moderated mediation effect.

Highlighting the importance of LMS, GLO, GKM, and GAC, the study suggests that focusing on these areas can help firms align their strategies with sustainability goals, enhancing their GIP. These insights can guide policymakers in creating supportive strategies for businesses to improve their GAC, facilitating better knowledge adoption and application.

The research contributes to the RBV theory by clarifying the role of strategic organizational factors in enhancing GIP within manufacturing firms, offering a clearer path to achieving sustainability goals.

We developed and tested a theoretical model that measures the importance of social media and dynamic capabilities with regard to improving innovation performance in startups from the agribusiness sector (AgTech), that is, technology-based companies with scalability potential that operate in the agribusiness sector.

This model analyzed three dynamic capabilities: internal collaboration capacity, absorptive capacity, and organizational agility. To test this theoretical model, we employed structural equation modeling with partial least squares estimation (PLS-SEM) analyzing 237 AgTech in Brazil.

Our results show that the use of social media positively affects innovation performance and contributes to internal collaboration capability (a second-order construct that encompasses commitment, communication, and trust). Internal collaboration is an antecedent of absorptive capacity and organizational agility. These two dynamic capabilities positively impact innovation performance. Our results also indicate that these dynamic capabilities serially mediate the relationship between social media and innovation performance.

While some literature describes the dark side of social media, our study sheds light on the importance of these platforms to improve internal collaboration in AgTech, a pivotal capability that is necessary to develop other relevant capabilities.

This study presents results from one of most large AgTech survey found in literature. Furthermore, this study also shows that there are dynamic capabilities essential to develop others relevant dynamic capabilities, indicating that innovation performance involves a sequential integration of capabilities.

The system of higher education in the Russian Federation due to the high share of fundamental training is focused on ensuring the foundation of permanent stability of the graduate, while the system of additional professional education is obliged to take into account the current state of the educational services market, which is characterised by globalisation, diversification, digitalisation and international integration. Therefore, the main focus of the modern system of additional professional education of teachers is the creation of favourable organisational, content, procedural and other conditions that contribute to the professional development and creative self-realisation of teachers, taking into account their individual needs and abilities. In this section, based on the analysis of normative documents and innovative experience of professional development and retraining of education specialists, the goals and objectives, structure and content, main development trends and modern training technologies, features of the internal system of quality assessment of additional professional education of teachers in Russia are disclosed.

This paper aims to adopt the dynamic capabilities view to investigate the relationship between managerial ties (i.e. business and political ties), dynamic capabilities and innovation climate on ambidextrous innovation (i.e. balanced and combined ambidextrous innovation), in the renewable and sustainable energy context. It also examines the mediating effects of dynamic capabilities between managerial ties and ambidextrous innovation (i.e. balanced and combined ambidextrous innovation), and moderating effects between dynamic capabilities and ambidextrous innovation relationships.

Multilevel analyses conducted using AMOS 26 on 288 employees working in 47 UAE energy firms.

Results found that business ties influences balanced and combined ambidextrous innovation indirectly, whereas political ties only impact combined ambidextrous innovation indirectly through dynamic capabilities. Dynamic capabilities insignificantly mediated managerial ties–ambidextrous innovation and political ties–balanced ambidextrous innovation relationships, with stronger indirect effect on combined than on the balanced dimension. Findings also indicate that innovation climate is the crucial moderator between dynamic compatibilities and ambidextrous innovation, as well as balanced and combined ambidextrous innovation, with stronger effect on balanced dimension than the combined.

This study addresses recent calls by highlighting the role of dynamic capabilities, an important yet underexplored organizational capabilities in the innovation and ambidexterity literature. Also, this study advances insight into how balanced and combined exploration–exploitation innovation and dynamic capabilities are connected and enhances the understanding into how organizational factors stimulate dynamic capabilities leading to superior innovation.

This paper aims to investigate the following issues: the mechanisms through which different types of top management team’s social capital influence the innovation quality of high-tech firms, and the moderating effect of organizational knowledge utilization on the relationship between top management team’s social capital and innovation quality in high-tech firms.

This study categorizes top management team’s social capital into political, business and academic dimensions, investigating their impact on innovation quality in high-tech firms. Furthermore, a research model is developed with organizational knowledge utilization as the moderating variable. Data from Chinese high-tech firms between 2010 and 2019 are collected as samples for analysis.

The innovation quality of high-tech firms shows an inverted U-shaped trend as the top management team’s political capital and business capital increase. The top management team’s academic capital has a significantly positive correlation with the innovation quality of high-tech firms. Moreover, organizational knowledge utilization plays a significant moderating role in the relationship between the top management team’s social capital and innovation quality in high-tech firms.

This study explores the relationship among different dimensions of top management team’s social capital, innovation quality and organizational knowledge utilization. It holds significant theoretical value in enriching and refining the interactions between top management team’s social capital, knowledge management theory and innovation management theory. In addition, it offers important practical implications for firms to rationally approach top management team’s social capital, emphasize top management team configuration management and establish a comprehensive and efficient organizational knowledge utilization mechanism.

As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking capabilities in enhancing sustainable performance through knowledge workers’ productivity and digital innovation. It also examines the sequential mediating role of knowledge workers’ productivity and digital innovation on networking capabilities and SMEs’ sustainable performance relationship.

Data were collected from 308 knowledge workers in the information technology sector and analyzed using the Hayes Process Macro bootstrapping method to test the proposed hypotheses.

Results indicate that knowledge workers’ productivity and digital innovation individually and sequentially mediate the relationship between networking capabilities and SME’s sustainable (economic and environmental) performance, surprisingly, they do not act as a mediator between networking capability and SME’s social performance. SMEs should prioritize investments in the professional development of their knowledge workers through training and skill enhancement programs. This investment equips knowledge workers with the tools to effectively use the knowledge and resources acquired through networking. Thus, knowledge workers may improve performance by using these resources to tackle challenges.

Although this research focused on this specific context, it is prudent to acknowledge that additional factors may also exert influence on sustainable performance within SMEs, factors that managers may consider when making decisions. Methodologically, the cross-sectional design of this research poses a potential limitation, as it does not allow for the complete elimination of endogeneity concerns. However, it is worth noting that scholars have endorsed the use of cross-sectional data in cases where management researchers aim to expand beyond well-documented and longitudinal data sets.

This research offers practical recommendations for SMEs to improve their sustainable performance through networking. SMEs should seek partnerships with complementary knowledge to improve operations and for other performance-oriented benefits.

This study adds significantly to the literature on sustainable SME performance by studying the interdependent effects of networking capabilities. It also represents the individual and sequential mediation mechanism that links networking capabilities to SME success through knowledge worker productivity and digital innovation.