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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 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.

The purpose of this guest editorial is to highlight the importance of knowledge management and organizational learning in firm innovation, offering an integrative framework to understand this complex business phenomenon.

Based on the literature review, the guest editorial shows a general review on “A Knowledge‐Based View of Firm Innovation” articulating and integrating a total number of ten theoretical and empirical contributions about this topic.

Theoretical and empirical works are organized in three main topics. The first one refers to the importance of external knowledge, networking, and relationships as key drivers of firm technological innovation, offering an “open or relational innovation framework”. The second one shows several papers on the growing importance of KIBS (Knowledge‐Intensive Business Services) in a Knowledge Economy and Society. Finally, this general review integrates papers about organizational context, and its role on knowledge management and firm innovation.

The paper and special issue tries to offer some new relevant advances for the academic community in the growing body of knowledge management and firm innovation. Nevertheless, due to its special issue nature, the theoretical and empirical advances showed on it represent only a partial view of a “Knowledge‐Based View of Firm Innovation”.

Managers need to understand the precise nature and sources (internals and externals) of firm innovation. In this vein, this journal number shows empirical research developed in different countries and industries illustrating some interesting insights about this complex business phenomenon.

This general review shows new lines of theoretical and empirical research regarding knowledge management, organizational learning, and firm innovation in a useful integrative framework: “A Knowledge‐Based View of Firm Innovation”

Existing research on the relationship between big data and organizational decision quality is still few and far between, and what does exist often assumes direct effects of big data on decision quality. More recent research indicates that such direct effects may be too simplistic, and in particular, an organization’s overall human skills are often not considered sufficiently. Inspired by the knowledge-based view, we therefore propose that interactions between three aspects of big data usage and management accountants’ data analytics skills may be key to reaching high-quality decisions. The purpose of this study is to test these predictions based on a survey of US firms.

The authors draw on survey data from 140 US firms. This survey has been conducted via MTurk in 2020.

The results of the study show that the quality of big data sources is associated with higher perceived levels of decision quality. However, according to the results, the breadth of big data sources and a data-driven culture only improve decision quality if management accountants’ data analytics skills are highly developed. These results point to the important, but so far unexamined role of an organization’s management accountants and their skills for translating big data into high-quality decisions.

The present study highlights the importance of an organization’s human skills in creating value out of big data. In particular, the findings imply that management accountants may need to increasingly draw on data analytics skills to make the most out of big data for their employers.

This study is among the first, to the best of the authors’ knowledge, to provide empirical proof of the relevance of an organization’s management accountants and their data analytics skills for reaching desirable firm-level outcomes. In addition, this study thus adds to the further advancement of the knowledge-based view by providing evidence that in contemporary big-data environments, interactions between tacit and explicit knowledge seem crucial for driving desirable firm-level outcomes.

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 paper is to construct a strategy model based on Intellectual Capital (IC) theory and to demonstrate that it is not purely resource‐based (RBV), but includes many elements that are rooted in the market based view (MBV). The authors' analysis indicates that only strategies which lead to both tangible and intangible revenues are sustainable in a knowledge‐based economy.

The paper takes the form of an extensive review of IC and strategy literature, and in‐depth comparative analysis of IC concept and the strategy management frameworks, particularly Porter's framework.

It is found that the IC‐based view (ICBV) is much closer to the MBV than what one would expect and the ICBV is more appropriate for a knowledge‐based economy than both the MBV and the RBV in general.

It is widely assumed that IC theory is strongly related to resource‐based strategy. The authors question this simple view and maintain that the IC‐based view relates to both MBV and RBV.

Carries out a statistical and economic analysis of socio‐economic survey results on the Mi’kmaq People of Cape Breton in the light of the criterion of the social wellbeing function. Focuses on studying the social wellbeing criterion with the socio‐economic variables involved in the surveys in a relational perspective among alternatives. Points out that this approach is distinct from the neoclassical resource substitution method. Instead, the relational perspective is shown to be premissed on a system of universal complementarities.

Knowledge management is a function of learning orientation, knowledge sharing, organizational memory and knowledge reuse. This paper aims to endeavor to explore a link between knowledge management and value creation which seem to be fragmented in the literature due to various conceptualizations and meanings. The study hypothesized a moderating role of social capital on the relationship between knowledge management and value creation.

The study was approached from the theoretical perspective. Study thoroughly reviews and analyzes the literature by developing a link between knowledge management and value creation. The studies were explored from selected databases including “Google scholar”, “Emerald” and “ProQuest” using the keyword search, namely, “Knowledge Sharing”, “Learning Orientation”, “Organizational Memory”, “Knowledge Re-use”, “Knowledge Management”, “Knowledge-based View”, “Competitive Advantage”, “Value Creation” and “Social Capital” to reduce the interpretation bias.

Knowledge management is an important predictor of value creation which can be strengthened by developing strong interpersonal relationships with all stakeholders. Organizations can create competitive advantage by managing social capital through knowledge management processes including learning orientation, knowledge sharing, organizational memory and knowledge reuse.

The study is based on a theoretical model and an apparent limitation is the non-existence here of contributions and discussions that have been based on empirical data. Future study may use other moderating and mediating variables such as industry type, market orientation, human capital and organizational climate to know whether knowledge management directly affects the value creation or indirectly through these variables. The hypotheses emerged from the model can be operationalized by generating the items from the review of the literature.

The study contributes to the knowledge management literature by developing a theoretical model of knowledge management based on underlying dimensions of learning orientation, knowledge sharing, organizational memory and knowledge re-use.

This study is based on knowledge-based view to examine the relationships among buyer–supplier interaction, ambidextrous innovation and business performance. It includes competitive intensity and dysfunctional competition to clarify boundary conditions.

The ordinary least squares regression was conducted to test hypotheses. The survey data were collected from 182 Hong Kong manufacturing firms.

Buyer–supplier interaction facilitates ambidextrous innovation, namely exploitative innovation and exploratory innovation. In turn, exploitative innovation enhances business performance, whereas exploratory innovation has no influence on business performance. Competitive intensity strengthens while dysfunctional competition weakens the impact of buyer–supplier interaction on ambidextrous innovation.

This study is based on the knowing processes of knowledge-based view. It contends that business performance is derived from ambidextrous innovation, which depends on the utilization of acquired supplier knowledge and the influence of external competitive environment. The test of relationships is constrained by the single-source and cross-sectional data.

Firms should engage in buyer–supplier interaction to acquire and utilize supplier knowledge. Meanwhile, they should monitor competitive environment to seize opportunities and avoid threats.

This study builds a holistic framework for buyer–supplier interaction, which reconciles the mixed arguments by distinguishing its effects on ambidextrous innovation, and by clarifying boundary conditions in terms of competitive intensity and dysfunctional competition.

The purpose of this paper is to conceptualize the business model (BM) from a knowledge-based view (KBV), to interpret its nature and knowledge structure and to investigate the relationship between its imitability and the erosion of firm’s competitive advantage.

Based on a systematic literature review, this study builds an integrated framework to explicate the nature and structure of the BM from a KBV. Moreover, on the analysis of two contrasting cases, the argument concerning the relationship between BM imitability and its strategic value is proposed, analyzed and supported.

The main finding of this study is that a BM can be viewed as a structured knowledge cluster that contains explicit and implicit parts. Its imitation is a dynamic process of knowledge diffusion across firm boundaries. Ceteris paribus, with a lower proportion of implicit knowledge, a BM is more likely to be imitated and the adopter’s competitive advantage is more likely to be eroded, and vice versa.

The proposed framework could provide managers with a deeper understanding of the nature and structure of the BM and help potential adopters develop a successful entry strategy by avoiding BMs that seem profitable but are incapable of maintaining competitive advantage.

As a complement to previous studies, the research conceptualizes the BM as a “structured knowledge cluster” to explicate its nature and knowledge structure from a KBV. The implicit part of the BM is explored, and its importance for the adopter’s competitive advantage is discussed and verified.