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While previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known about how such strategies influence innovation performance. To address the gap, this paper aims to investigate the impact of a firm’s digital business strategy on its innovation performance.

Drawing on the dynamic capability view, this study examines the mechanism through which a digital business strategy affects innovation performance. Data were collected from 215 firms in China and analyzed using multiple regression and structural equation modeling.

The empirical analysis reveals that a firm’s digital business strategy has positive impacts on both product and process innovation performance. These impacts are partially mediated by knowledge-based dynamic capability. Additionally, a firm’s digital business strategy interacts positively with its entrepreneurial orientation in facilitating knowledge-based dynamic capability. Moreover, market turbulence enhances the strength of this interaction effect. Therefore, entrepreneurial-oriented firms operating in turbulent markets can benefit more from digital business strategies to enhance their knowledge-based dynamic capabilities and consequently improve their innovation performance.

This study contributes to the understanding of how a firm’s digital business strategy interacts with entrepreneurial orientation in turbulent markets to shape knowledge-based dynamic capability, which in turn enhances the firm’s innovation performance.

The purpose of this paper is to synthesize existing knowledge‐based dynamic capabilities research into a single typology for managerial and academic use.

Based on the resource‐based and knowledge‐based views, this study conducts a theoretically grounded typology development exercise based on an extensive review of the existing dynamic capabilities literature.

The paper identifies seven frameworks presented in the literature that showed some consistency in underlying concepts but conflict in nomenclature and application. Identifying over 80 uses of knowledge‐based dynamic capabilities in the literature review, three complementary dimensions that are common amongst the frameworks are identified and integrated into a consistent typology of eight knowledge‐based dynamic capabilities to encompass the extant literature.

Addressing fragmentation in the knowledge‐based dynamic capabilities discourse, the paper advances the concept of knowledge‐based dynamic capabilities by organizing the existing literature and frameworks into a comprehensive and consistent typology. Moreover, this integrative typology allows managers and researchers to identify those capabilities in use and the commonalities between them. Finally, the paper identifies a new knowledge‐based dynamic capability that has not yet been identified in any existing framework.

The purpose of this paper is to demonstrate the relationship between intellectual capital and innovative performance, and to specify the boundary conditions and mechanisms of the relationship from a knowledge-based dynamic capability perspective.

This study empirically analyzes the impact of intellectual capital on innovative performance and the role knowledge-based dynamic capability plays with a sample of 217 firms in China. To test the research hypotheses, regression analysis is applied.

The results show that intellectual capital positively affects innovative performance, and knowledge-based dynamic capability is a mediator rather than a moderator which partly mediates the relationship between intellectual capital and innovative performance.

The findings suggest that realizing superior innovative performance is dependent on a firm’s intellectual capital and its ability to sense opportunities and threats, to make timely and correct decisions, and to facilitate necessary changes efficiently.

This study is the first to clarify whether knowledge-based dynamic capability plays a moderating role or a mediating role between intellectual capital and innovative performance. The present study thus helps move forward the understanding on the conditions and mechanisms of the effects of intellectual capital.

The purpose of this paper is to clarify the concept of dynamic capabilities from the knowledge‐based perspective and investigate the mechanisms of dynamic capabilities on innovation performance in networked environments.

This paper designed a seven‐point Likert questionnaire measuring the dynamic capabilities, innovation performance and network embeddedness and a sample of 218 Chinese manufacturing firms were surveyed. Structural equation modeling method was used to statistically test the theoretical hypothesis.

Significant relationships were found between dynamic capabilities and innovation performance and knowledge combination capability played a mediating role in this relationship. For the links between network embeddedness and dynamic capabilities, knowledge acquisition capability was affected mainly by relational embeddedness and the diversity of network and joint problem solving contributed much to knowledge combination capability.

This paper deepened the understanding on dynamic capabilities and the mechanism between network embeddedness, knowledge‐based dynamic capabilities and innovation performance. In the future, the construct of knowledge‐based dynamic capabilities calls for more examination and verification.

Drawing on the literature of dynamic capabilities framework, knowledge‐based view and the network model, this study extends the literature of dynamic capabilities and its link with innovation performance in networked environments. Using survey data and structural equation modeling, this study offers rich evidence on the contribution of dynamic capabilities on innovation performance and the antecedents of dynamic capabilities.

This study aims to investigate the relationship between knowledge-based dynamic capability and organizational structure on team innovative performance in Brazilian industrial companies.

This study is based on data from a survey of 262 respondents from 65 companies in the Brazilian industrial sector with project teams and followed the partial least squares approach to model the structural equation that was used for data analysis.

The results of the study show that mechanical structures with a high degree of formalization and centralization have a negative impact on knowledge-based dynamic capability and integration has a positive relationship with dynamic capability. Moreover, the research shows that project team innovative performance is directly affected by knowledge generation and combination capability; however, knowledge acquisition/absorption does not interfere with project team innovative activity.

This study contributes to the managers of firms in the industrial sector by analyzing how the characteristics of organizational structure impact dynamic capability and project team innovative performance. The results of this study indicate that more mechanical structures have more difficulty in developing knowledge-based dynamic capability in the context of project teams.

This study advances the concept of knowledge-based dynamic capability from the firm level to the project team level. This study accesses a research gap that characterizes organizational structure as an antecedent of dynamic capability, analyzing the impact of organizational structure on the dimensions of dynamic capability and of the latter on project team innovative performance.

In the landscape created by digital transformation, developing the ability to adapt and innovate by absorbing and generating new knowledge has become a strategic priority for organizations. The theory of dynamic capabilities, especially from a knowledge-based perspective, has proven particularly useful in studying the phenomena of transformation and change. Moving from this premise, this paper aims to map the state of research and to define guidelines for the actualization of dynamic capabilities theory in the digital transformation era.

A structured literature review of 75 papers, using descriptive, bibliographic and content analysis, was performed to analyze the evolution of dynamic capabilities in the context of digital transformation.

Studies concerning knowledge-based dynamic capabilities for digital transformation have been clustered into five main research areas: the micro-foundation of dynamic capabilities for digital transformation; dynamic capabilities for value creation in digital transformation; dynamic capabilities for digital transition in specific industries; dynamic capabilities for “data-driven organizations”; and dynamic capabilities for digital transformation in SMEs and family firms. A future research agenda for scholars in strategic management is presented.

A conceptual framework and a future research agenda are presented to highlight directions for this promising research field concerning the renewal of dynamic capabilities in the context of digital transformation.

The originality of the paper lies in the conceptual framework aiming to systematize current research on knowledge-based dynamic capabilities for digital transformation and to provide a new conceptualization of digital dynamic capabilities, clarifying how organizations create and share knowledge in the era of digitalization.

The main purpose of this study is to investigate the mediating role of innovation culture in the relationship between knowledge-based dynamic capabilities and innovation performance of small enterprises in Tanzania.

This study is cross-sectional and data collected through structured questionnaire were analyzed using PLS-SEM.

The findings revealed that dimensions of knowledge-based dynamic capabilities significantly influence innovation culture and innovation culture significantly influence the innovation performance. Finally, innovation culture is a significant mediator of the relationship.

The study contributes to the understanding that owners of small businesses must create conducive environments for the development of an innovation culture by improving knowledge acquisition, generation and combination for better innovation performance outcomes.

Studies done on innovation culture are limited especially in the context of developing countries such as Tanzania where adoption of innovative ideas is considered a slow process due to various factors such as poor management of knowledge resources. Therefore, this study contributes to the body of knowledge by establishing a link between knowledge-based dynamic capabilities and innovation performance through a mediation of innovation culture.

The purpose of this paper is to investigate the impact of knowledge-based dynamic process capabilities (KBDPCs) on innovation performance, considering the mediator role of innovation processes in the Iranian knowledge-based high-tech companies.

Based on an in-depth review of previous studies, the indicators pertaining to the research constructs were extracted. Then, exploratory and confirmatory factor analyses were applied to identify and confirm the research constructs. Partial least squares-based structural equation modeling was used to investigate the intended relationships.

The results of the direct effect showed that KBDPCs have a significant positive effect on innovation performance. Further, moderation analysis demonstrated that innovation processes are moderated by the relationship between KBDPCs and innovation performance. Accordingly, the findings revealed that KBDPCs affect product innovation performance and exploratory innovation and transitional innovation increase this effect. Also, the mediator role of exploitation innovation in the relationship between KBDPCs and process innovation performance was proved.

As this research was performed in the Iranian context, caution should be taken regarding the generalizability of the findings.

This paper provides a roadmap based on existing scenarios to enhance innovation performance for the surveyed-companies, in particular, and other companies, in general.

The social implication of this study is to respond to the challenge of the managers of Iranian knowledge-based high-tech companies to improve innovation performance through KBDPCs and innovation processes and to grow and develop a sustainable business.

Given rare studies that have so far been conducted on the research field, this study extends the theories of KBDPCs, innovation processes and innovation performance. The constructs of the research model and relationships intended among them are also significant.

Several manuscripts are adopting knowledge-based dynamic capabilities (KBDCs) as their main theoretical lens. However, these manuscripts lack consistent conceptualization and systematization of the construct. Consequently, the purpose of this study is to advance the understanding of KBDCs by clarifying the dominant concepts at the junction of knowledge management and dynamic capabilities domains, identifying which emerging themes are gaining traction with KBDCs scholars, demonstrating how the central thesis around KBDCs has evolved and explaining how can KBDCs scholars move towards finding a mutually agreed conceptualization of the field to advance empirical assessment.

The Clarivate Analytics Web of Science Core Collection database was used to extract 225 manuscripts that lie at the confluence of two promising management domains, namely, knowledge management and dynamic capabilities. A scientometric analysis including co-citation analysis, bibliographic coupling, keyword co-occurrence network analysis and text mining was conducted and integrated with a systematic review of results to facilitate an unstructured ontological discovery in the field of KBDCs.

The co-citation analysis produced three clusters of research at the junction of knowledge management and dynamic capabilities, whereas the bibliographic coupling divulged five themes of research that are gaining traction with KBDCs scholars. The systematic literature review helped to clarify each clusters’ content. While scientific mapping analysis explained how the central thesis around KBDCs has evolved, text mining and keyword analysis established how KBDCs emerge from the combination of knowledge management process capabilities and dynamic capabilities.

Minimal attention has been paid to systematizing the literature on KBDCs. Accordingly, KBDCs view has been investigated through complementary scientometric methods involving machine-based algorithms to allow for a more robust, structured, comprehensive and unbiased mapping of this emerging field of research.

The purpose of this study is to critically evaluate the canonical contribution of the classical theories of multinational enterprises (MNE) and complement them with congruous multi-theoretical lenses to a propose a meta-theoretical view for competitive advantage. The proposed framework is applied to fundamental questions of MNE, and exploratory insights are revealed.

This study sought to review the literature on various paradigms such as resource-based view, knowledge-based view, attention-based view, relational view, dynamic capability view and institution-based view to propose a meta-theoretical approach explicating the phenomenon of competitiveness.

This study proffers that the key to global competitiveness lies in building micro-foundational, multidimensional and multilevel multinational orchestration capabilities. The requisite orchestration capabilities are capabilities par excellence that explain: how organizational capabilities originate through the cognition of individual employees at the micro level; how individual-level abilities are amplified when they are harnessed through relational capabilities to form knowledge capabilities at the meso-level; and how the confluence of knowledge capabilities and higher order dynamic capabilities gives rise to heterogeneous firm-level knowledge-based dynamic capabilities that can be combined with institution capabilities to aggrandize the prediction of competitive advantage for MNEs.

The successful development of MNE competitiveness as a field of academic inquiry, brought about by an increasing amount of theoretical specialization, has come at the price of significant fragmentation of the overall scientific quest. The abovementioned paradigms and their underlying constructs have primarily been conceptualized in silos. The classical theories of MNE have been used a starting point to which complementary multidisciplinary views have been scaffolded to gain a more nuanced understanding of global competitiveness.