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This paper aims to add to the understanding of dynamic capabilities (DC) as sources of competitive advantage of successful Asian-Pacific shipping companies by demonstrating that DC development unfolds in three steps, from recognition that the environment has changed, to the decision to deploy DC, to assets re-orchestration.

Based on an approach involving two illustrative case studies, the author analyzed DC development of Chinese and Singaporean-based shipping groups in depth. The analysis was centered on DC by investigating how strategic decision-making on vertical integration, diversification and implementation of new technologies can be underpinned by developing DC to create sustained advantages.

The author found that strategic components of DC are rooted in strategic decision-making to initiate changes on the corporate and even on an operational level.

While capability development is thoroughly studied, capability erosion has not been integrated into the research. The exploration of human capital as a firm’s idiosyncratic resource in assets orchestration capabilities can be future work.

The proposed research contributes to the debate on micro foundations of DC and provides insights for practitioners striving for retaining competitive advantages.

Regarding implications for the society, the research shows how the DC serve to generate competitive advantages. The author has presented a logical structure of the competitive advantage paradigm as a product of DC and business models that can be useful to decision makers.

The research offers insights into the composition of micro foundations of DC and demonstrates that DC can be unbounded into well-known and concrete strategic and operational management activities.

The research on supply chain resilience (SCRES) has gained momentum after organizations have experienced more frequent and severe disruptions, especially with COVID-19 and the Russia/Ukraine conflict. Due to its potential for new practices and capability building, SCRES requires dynamic capabilities (DC) to enable an organization to prepare for, counter, and recuperate from disruptions leading to performance improvements and competitive advantage.

The present literature study seeks to enrich the theoretical debate on DC in SCRES, contributing to an advanced understanding of SCRES. Therefore, a meta-review of 83 peer-reviewed literature reviews has been conducted. Based on qualitative content analysis and abductive reasoning, relevant constructs are synthesized to facilitate theory-building for SCRES DC into a comprehensive framework.

The analysis reveals that SCRES has developed into an independent research area. Thus, resilience capabilities must be considered bundles of practices, evolving from different areas beyond supply chain risk management (SCRM). Most recent literature reviews on SCRES address more than one practice bundle applying SCRES DC as antecedents of new DC when organizational structures become more mature, leading to path dependencies when building business capabilities.

Aggregating extant literature on SCRES into a theoretical framework, the study contributes to a better understanding of the relationships between DC and SCRES practices while offering potential avenues for future research. It enriches DC theory by extending its microfoundations towards a holding/buffering dimension, which particularly accounts for the stability-based view of SCRES.

This study examines how intellectual capital (IC) drives firm performance via the lens of dynamic capabilities (DCs). Drawing on resource-based view (RBV) and dynamic capability view (DCV), the authors elaborate the mediating role of learning, integration and reconfiguration DC in the Indian banking context.

A sample of 358 top- and middle-level managers from the Indian banking sector was administered with structured questionnaires for data collection. Structural equation modeling (SEM) and Sobel test were used to analyze the data and test the hypothesized mediating effect.

The findings reveal that learning and integration DCs are key mediators in IC and banks' performance relationships in an emerging economy context. In contrast, the analysis revealed partial mediating role of reconfiguration DC. Furthermore, the learning DC has been identified as the primary mediating mechanism for transforming bank's IC into performance benefits.

This study provides an important implication for the IC and DC link by empirically developing and validating a model in the Indian banking sector and making a several contributions to the related literature. This sector needs to incorporate and strengthen their IC and DCs to attain enhanced performance in today's dynamic environment. Bank managers can use these findings to bring their knowledge-related activities to channelize specific DCs to transform banks' IC when seeking to improve overall performance. Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence firm performances with the help of IC, learning, integration and reconfigurations DCs.

Although several studies have investigated the links between IC, DC and firm performance, studies on emerging economies are scarce. This study is one of the most in-depth investigations of the relationship between IC, learning, integration and reconfiguration DCs and firm performance in an integrated framework, with a particular focus on the banking sector of an emerging economy.

This paper aims to show how researchers can overcome problems of fragmentation and eclecticism in an important strategy paradigm, namely, the Dynamic Capabilities (DC) perspective.

First, the explanandum of the theory of DC, conceptualized as a theory of strategic change, is generates. Second, four main constituent theoretical perspectives of DC were selected and their explanans on the explanandum of a theory of strategic change was mapped. Third, the explanans of a theory of strategic change was parsed out to derive the critical fragmentation sources as illustrated by the classical papers in DC.

First, consistent explanans of a theory of strategic change are integrated to build a meta-theory of strategic change. Second, testable propositions based on the meta-theory, in the context of industry convergence, a context which requires the development of dynamic capabilities in an uncertain and changing environmental context are developed.

By developing a meta-theory of strategic change, researchers are provided with the tools to overcome the confusion of fragmentation and eclecticism, specifically in the field of strategy research.

This paper aims to categorize and organize dynamic capabilities that have been inductively identified in empirical research into a comprehensive taxonomy. Thus, it addresses calls in the literature for a better understanding of dynamic capabilities and integration of scattered empirical findings into theory.

A systematic literature review approach was adopted, with a total of 34 articles published between August 2007 and April 2020, from which 240 idiosyncratic dynamic capabilities were identified. The taxonomy was constructed using the Gioia-method.

The main finding is a three-level taxonomy of dynamic capabilities (DC). Level DC-1 is based on the existing triad of sensing, seizing and transforming. Level DC-2 is newly introduced to the literature by this study, consisting of 19 dynamic sub-capabilities that categorize and organize all 240 idiosyncratic dynamic capabilities in the sample (level DC-3). The taxonomy supports the existing claim that dynamic capabilities are common in key features and idiosyncratic in details. Moreover, theoretical connections to business model innovation and ambidexterity are indicated.

This study integrates scattered empirical findings of specific dynamic capabilities and translates them to a practitioner audience. The taxonomy allows the strategic manager to understand what they specifically are and, thus, assess the dynamic capability endowment of the firm which allows deploying, developing and fostering them.

The taxonomy provides a comprehensive and tangible picture of what dynamic capabilities look like in practice. It improves existing knowledge and understanding by bridging the rigor-relevance gap between rather rigorous conceptual literature and rather relevant empirical research as it integrates them. As such, it can serve as a “map” of dynamic capabilities for scholars and practitioners.

Data transformation has prompted enterprises to rethink their strategic development. Scholars have frequently acknowledged the vast potential value of supply chain data and realised that simply owning data resources cannot guarantee excellent innovation performance (IP). Therefore, this study focussed on the mediating and moderating issues between data-driven supply chain orientation (DDSCO) and IP. More specifically, the purpose was to explore (1) whether DDSCO promotes enterprise innovation through dynamic and improvisational capabilities and (2) how information complexity (INC) plays a moderating role between capabilities and performance.

An empirical study was performed using the results of a questionnaire survey, and a literature review was used to build the premises of this study. A sample was conducted on 296 Chinese enterprises, and the data collected were used to test the hypothesis by successive regression.

This research has implications for the theoretical development of DDSCO, as well as the dynamic capabilities (DC) and improvisation capabilities (IC) in innovation strategic literature. The empirical results show that DDSCO has a direct, positive impact on both DC and IC, which thus positively impact IP. Meanwhile, IC has a negative moderating effect on the path joining DC and IP. Conversely, IC has a positive moderating effect on the path joining IC and IP.

Although this study has limitations, it also creates opportunities for future research. The survey comes from different industries, so the possibility of unique influences within industries cannot be ruled out. Second, the authors' survey is based on cross-sectional data, which allow for more comprehensive data verification in the future. Third, this study also provides opportunities for future research, because it proves that DC and IC, as partial mediators of DDSCO and IP, can mine other paths of the data-driven supply chain in IP. For example, the perspective of the relationship between supply chain members, knowledge perspective, etc.

The research findings offer a novel perspective for enterprise managers. First, enterprises can leverage supply chain data to gain competitive advantages in innovation. Second, it is imperative for enterprises to acknowledge the significance of developing dynamic and IC. This also requires enterprises to acknowledge innovations in DDSCO necessitate a focus on dynamic and IC. Third, it is recommended that managers take into account both sides of IC and encourage enterprises to prioritise the utilisation of IC.

Empirical research results revealed how DDSCO improves IP and is an extension of digital transformation in the supply chain field, providing new opportunities and challenges for enterprise innovation. It can also expand the enterprise's understanding of DDSCO. Second, based on resource-based theory, it is possible to develop and test theoretical arguments regarding the importance of dynamic and IC as intermediaries in the DDSCO-IP. Third, the authors conducted simulations of highly dynamic data environments to develop and test theoretical arguments about the importance of IC as a moderator of capabilities-performance relationships.

This study aims to provide insights on the importance of reconfiguring new and existing enterprise resources in a heterogeneous manner. This will lead to improved efficiencies, strategies and resource usage as such leading to more synergetic and innovative outcomes. This study highlights the importance of dynamic capabilities (DC) during the process of resources recombination (RR). It suggests that DC can be a source of competitive advantage, but the effect is contingent on the RR capabilities of enterprises.

Data were obtained from 349 faculty members of higher education institutions (HEIs) from seven states in the United Arab Emirates (UAE). Partial least squares structural equation modeling (PLS-SEM) using SmartPLS was employed as a statistical tool to analyze the structural model.

The findings confirm the proposed role of DC in the realization of RR, in integrating and reconfiguring internal and external organizational skills and resources for efficiency and performance, since DC helps RR to reconfigure the resource base by extending, creating, and modifying innovative RRs.

The study has important implications for resource managers and policymakers of HEIs. By prioritizing DC, firms can develop novel products and services as a result of a heterogenous mix of new RR. Additionally, since firms have limited resources in ever-changing, complex environmental conditions, this study provides explicit directions on how enterprises can strategically manage their resources in an innovative manner to attain a sustainable competitive advantage.

Insights from the DC and RR perspective in HEI sectors, particularly in the Middle East region, are scarce. This is the first empirical study to delve in this area and exemplify the relationship between these significant constructs.

To cope with the existing pandemic situation and to be organizationally responsive, firms need to be strategically flexible, where they need to develop dynamic capabilities (DCs) by continuously reconfiguring their resource base. To address such challenges, firms heavily rely on information and communication technologies (ICT) because of advancement in disruptive technologies. This study aims to explore techniques used by higher education institutional (HEI) leaders to successfully address challenges posed by global disruption, i.e. COVID-19 with the help of advanced ICT software such as Zoom, Google Meet and Microsoft Teams.

A qualitative approach was adopted to explore strategic factors such as strategic flexibility (SF) and DC that disclose shortcomings in the current extant literature. A total of 15 interviews were conducted with heads of departments of HEIs in the United Arab Emirates. Data were analyzed using NVivo software.

The findings suggested three dimensions of SF (resources, operational and collaborative) and four dimensions of DC (strategic planning, innovative, adaptability and technological) for firms to adopt to be strategically flexible, where DC serves as building blocks of SF.

This research provides a framework as an avenue for future researchers and practitioners on how to strategically manage their resources and be strategically flexible in turbulent environment such as pandemics. Theory-based investigations on strategic capabilities and DC from resource-based perspective are still under-researched, emphasizing the need for theoretically based research on strategic responsiveness, especially during the times of environmental complexities such as COVID-19 pandemics. This research enriches strategic management research by exploring the important antecedents of organizational responsiveness, including SF and DC together with the support of human factor, i.e. leadership qualities of HEIs managers. This study, to the best of the authors’ knowledge, is among the first to systematically explore main dimensions of DC and SF based on the resource-based theory of strategic management in the Middle Eastern context.

The purpose of this paper is to identify and empirically examine the dynamic capabilities (DC) that drive the development of digital manufacturing capabilities (DMC) and the role of DMC in mediating their influence on firm performance.

Based on the dynamic capabilities view (DCV) of the firm, the authors develop a set of hypotheses that are tested through a survey of 110 managers in the manufacturing sector. The hypothesized model is tested through structural equation modeling.

The results indicate that although higher-order DC (HODC) have a strong influence on firm performance, their effects are partially mediated by the DMC that they generate, by positively affecting the extended production process.

The analysis contributes to a better understanding of the interplay between levels of the DC hierarchy by finding that DMC play an important role in translating HODC into enhanced firm performance.

By complementing the DCV with the disruptive innovation theory in a specific fast changing context, this study introduces a new construct (DMC) providing an original and considerable contribution to the literature. To the best of the authors’ knowledge, it is the first empirical study that includes and assesses all these elements together in the context of the manufacturing industry.

Drawing on resource and capability theory, this study aimed to analyze the relationship between the dynamic capabilities (DC), the knowledge management (KM) process (KMP) and results in customers and people. More specifically, the study argues that the KM process mediates the relationship between DC and the results outlined above. In addition, a predictive analysis is carried out that demonstrates the relevance of the KM process in the model.

The study sample is made up of 118 Spanish organizations that have some kind of recognition of excellence awarded by the European Foundation for Quality Management (EFQM). Partial least squares methodology is used to validate the research model, the hypothesis testing and the predictive analysis.

The results show that organizations which leverage the DC through the KMP improve customer and people outcomes. Moreover, the predictive power is higher when the KMPmediates the relationship between the DC and the results.

There is no consensus in the literature on the relationship between DC, KM and performance. Moreover, there are also not enough papers that study KM or DC through the dimensions that define these constructs or variables. Given this need, this work considers the KMP according to the stages of knowledge creation, storage, transfer and application. Similarly, DC is dimensioned in sensing, learning, integrating and coordinating capabilities. These, as reconfigurators of knowledge assets, influence the KMP. Accordingly, the empirical model connects these knowledge domains and analyses their link to outcomes.