Dynamic Capabilities Research Articles

INTERNAL DYNAMICS AND INNOVATION: A CROSS-DISCIPLINARY REVIEW AND FUTURE RESEARCH AGENDA

INTERNAL DYNAMICS AND INNOVATION: A CROSS-DISCIPLINARY REVIEW AND FUTURE RESEARCH AGENDA

The impact of business model innovation and dynamic capabilities on enterprise development: An international business communication perspective

The impact of business model innovation and dynamic capabilities on enterprise development: An international business communication perspective

Service Function Chain Deployment With Intrinsic Dynamic Defense Capability

Service Function Chain Deployment With Intrinsic Dynamic Defense Capability

Strategic green alliances: Integrating green dynamic capabilities, AI, and electronic entrepreneurial innovation for sustainability

Strategic green alliances: Integrating green dynamic capabilities, AI, and electronic entrepreneurial innovation for sustainability

Conceptualizing green dynamic capabilities as a two-path model: Evidence from Danish manufacturing firms

Conceptualizing green dynamic capabilities as a two-path model: Evidence from Danish manufacturing firms

Digital innovation for circular supply chain sustainability and resilience for achieving carbon neutrality: An empirical study.

Digital innovation for circular supply chain sustainability and resilience for achieving carbon neutrality: An empirical study.

Exploring the nexus between environmental corporate social responsibility (ECSR) and green dynamic capabilities: Implications for green technological innovation

Exploring the nexus between environmental corporate social responsibility (ECSR) and green dynamic capabilities: Implications for green technological innovation

Leveraging dynamic capabilities for digital transformation: Exploring the moderating role of cost in environmental performance of SMEs

Leveraging dynamic capabilities for digital transformation: Exploring the moderating role of cost in environmental performance of SMEs

Exploring supply chain managers' complex perceptions of dynamic capabilities for digital transformation

Exploring supply chain managers' complex perceptions of dynamic capabilities for digital transformation

IT-embedded dynamic capabilities for public institutions coping with disinformation – The case of financial fake news

IT-embedded dynamic capabilities for public institutions coping with disinformation – The case of financial fake news

Service Locator App Using MERN Stack: A Comprehensive Solution for Connecting Service Providers and Households

In the evolving landscape of web application development, service management patterns play a crucial role in building scalable, maintainable, and efficient systems. This research focuses on implementing the Service Locator design pattern within the MERN (MongoDB, Express.js, React, Node.js) stack, but introduces a significant modification: replacing MongoDB with Hygraph, a headless CMS powered by GraphQL. The goal is to study how centralizing the access and management of services impacts the system’s modularity, scalability, and performance. By leveraging Hygraph’s flexible and dynamic schema capabilities, the architecture allows applications to adapt quickly to content changes without heavy backend modifications. This research shows that combining a Service Locator with a modern CMS like Hygraph creates a decoupled, efficient architecture suitable for content-heavy, dynamic applications

Financial, Market, and Technology Challenges as Correlates to Financial Performance of Electric Home Appliance Manufacturing Companies

This study investigates the influence of financial, market, and technological challenges on the financial performance of household appliance manufacturing enterprises. Utilizing a mixed-methods approach, the research integrates quantitative regression analysis with qualitative insights from interviews and case studies. Findings reveal that financial challenges, particularly high asset-liability ratios and poor cost management, significantly undermine profitability. Among market challenges, declining customer loyalty shows a substantial negative impact, while market competition intensity proves statistically insignificant. Technological challenges yield mixed outcomes: while difficulties integrating IoT and AI technologies have limited influence, increased R&D investment significantly enhances profitability. These results underscore the need for firms to optimize capital structures, reinforce cost control, foster customer retention strategies, and prioritize R&D. Theoretically, the study extends resource-based and dynamic capabilities theories by illustrating how internal capabilities mediate external pressures. Practically, it offers strategic guidance for enhancing resilience and sustaining competitive advantage in a volatile manufacturing landscape. This research provides actionable insights for enterprise managers and policymakers aiming to support industrial transformation and long-term financial health.

Modeling the Role of Big Data Analytics Capabilities in Impacting Corporate Environmental Performance: A Serial Mediation Analysis

ABSTRACTBig data analytical capabilities (BDAC) have emerged as a significant strategic tool for enhancing environmental performance in today's ever‐growing green and digital economy. However, the serial process through which BDAC influences environmental performance remains understudied, particularly in multinational corporations (MNCs). Drawing on the dynamic capability view (DCV) and the natural resource‐based view (NRBV), this study constructs a serial mediation model to explore the connection between BDAC, ambidextrous green innovation, green competitive advantage, and corporate environmental performance. A cross‐sectional survey involving 244 MNCs in Germany was used for the analysis. The data were analyzed using partial least squares structural equation modeling (PLS‐SEM). Our findings reveal that the impact of BDAC on environmental performance is sequential, occurring through ambidextrous green innovation and the development of green competitive advantage. Specifically, BDAC leads to ambidextrous green innovation, which in turn drives green competitive advantage and ultimately enhances the environmental performance of MNCs. The theoretical and managerial implications are drawn.

Digital transformation and organizational readiness: evidence from Chinese construction SMEs with a dynamic managerial capabilities lens

PurposeIn the digital economy, the adoption and implementation of digital transformation (DX) is essential for small and medium-sized enterprises (SMEs) in the construction industry to secure a competitive advantage and achieve sustainability. This study examines the dynamic managerial capabilities of SME leaders and the organizational readiness required to facilitate DX.Design/methodology/approachDrawing on insights from 33 managers across six SMEs, the study identifies key dynamic capabilities, organizational readiness factors, and transformation challenges. The framework was further refined and validated through a Delphi process, resulting in a four-layer model that links internal capabilities to specific DX challenges and provides a structured roadmap for SME transformation.FindingsOur findings reveal that DX in construction SMEs is driven by five dynamic capabilities: environmental sensing, strategic agility, resource mobilization, digital ecosystem building and organizational learning. In addition, organizational readiness serves as a critical enabler, shaped by leadership and cultural readiness, policy and stakeholder alignment and technological preparedness. Building on these insights, we propose a four-layer integrative framework that links these capabilities and readiness factors to specific internal and external challenges, providing a structured pathway for overcoming barriers and facilitating effective DX in construction SMEs.Originality/valueThis study provides actionable insights by clarifying how construction SMEs strategically organize and leverage DX-related resources and capabilities to drive change and maintain a competitive edge. It contributes to theory by introducing an integrative framework that illuminates the interrelationships among these resources, managerial competencies and readiness factors, offering a detailed roadmap for implementing and sustaining DX.

Strategic Choice of Doctoral Education and Dynamic Managerial Capabilities in Supporting Executives Performance: An Exploratory Study

Improving human capital through education is considered an investment decision. In Indonesia, the interest of non-academics in pursuing doctoral programs is increasingly widespread. The purpose of this study is to explore the dynamics of strategic choices in doctoral education and dynamic managerial capabilities on executive performance. The data analysis process includes a crucial stage of data coding, following Yin's approach for case studies as the research method of this study. By employing unstructured techniques with five executives, it gathered the unique insights of each participant, enabling a deeper understanding of the phenomenon. The conceptual framework of the results of the study shows the findings of conditions where dynamic managerial capabilities support executive performance and the interaction of dynamic managerial capabilities and strategic choices in doctoral education supports executive performance. The strategic choice of doctoral education supports executive performance for two informants. Instead, three informants do not support it directly because external conditions require time to be overcome or because of the motive for doctoral education itself. The practical implication provides insight into the diverse motives and levels of relevance of educational programs that provide managerial capabilities to adapt to dynamic business practices.

INTEGRATION OF OPERATIONS AND MARKETING STRATEGIES TO OPTIMIZE PERFORMANCE IN MULTINATIONAL RETAIL ENTERPRISES

Abstract In the evolving context of global retail, the integration of operations and marketing strategies has become essential for enhancing organizational performance, especially in multinational enterprises. This article explores how aligning these traditionally separate functions can generate synergies that improve responsiveness to customer needs, optimize supply chain efficiency, and strengthen brand consistency across diverse markets. Drawing on theoretical frameworks such as dynamic capabilities and the integration-responsiveness paradigm, the study highlights how data analytics, organizational structure, and cross-functional collaboration facilitate successful integration. Empirical insights and real-world examples demonstrate that firms which strategically coordinate operations and marketing gain a competitive advantage by delivering superior customer experiences while maintaining cost effectiveness. The findings suggest that the fusion of these domains is not only beneficial but imperative in a highly dynamic and digitalized retail environment. Keywords: Multinational Retail, Strategic Integration, Operations Management, Marketing Strategy, Supply Chain Optimization.

Can splitting influence corporate strategy? Exploring the effects of TMT faultlines on internationalization speed.

On the basis of upper echelons theory, this paper examines the effect of TMT faultlines on internationalization speed and considers the contextual factors that may affect the focal relationship. We focus on A-share listed manufacturing enterprises in the Shanghai and Shenzhen stock markets from 2010 to 2016 to explore the nexuses. The conclusions indicate that TMT faultlines exerts a significant negative influence on the speed of internationalization. However, the presence of executives shareholding and dynamic capabilities serve to mitigate the negative impact to some extent. These findings hold both theoretical and practical significance for Chinese firms' internationalization in the context of the 'double-loop strategy'.

Impact of climate capacities and leadership effectiveness on organizational climate resilience: empirical evidence from UAE construction sector

Purpose There are significant concerns about climate change adaptation issues in the construction industry, thus climate capacities – both relevant and specific – as well as leadership effectiveness are needed to strengthen organizational climate resilience. Despite their importance, empirical studies on these themes, particularly in the construction industry, are lacking. This study aims to fill this gap by providing evidence on a set of relationships among climate-specific capacity (CSC), climate-relevant capacity (CRC), leadership effectiveness (LE) in climate actions, and organizational climate resilience (OCR) in the construction sector of the UAE. Design/methodology/approach Building on transformational leadership theory and the dynamic capabilities perspective, this paper builds and validates a conceptual model that tests how climate capacities (i.e. CSC and CRC) and LE impact the development of OCR. Particularly, the authors tested their conceptual model through structural equation modeling (SEM) using the SPSS AMOS path analysis on the survey data collected from 420 employees in the UAE construction industry. Findings The study finds a direct and positive relationship among climate capacities, LE and OCR. Moreover, LE positively moderates the relationship between CRC and OCR, whereas it negatively moderates the CSC–OCR relationship. Practical implications The research findings advocate that managers should consider CSC and CRC along with LE while managing climate change efforts to improve OCR. Originality/value To the best of the authors’ knowledge, this article is the first to offer an empirical insight on a set of relationships among climate capacities, LE in climate actions and OCR. The new conceptual framework has both practical and research implications for managing climate change responses.

Distributed Leadership and Strategic Agility in Xiaomi: A Dynamic Capability Perspective

Management research explores the relationship between distributed leadership (DL) and dynamic capabilities (DCs). This study introduces the Distributed Dynamic Capabilities (DDC) framework through a 2010-2023 Xiaomi case study, identifying three mechanisms: situated empowerment, redundant experimentation, and protocol-based coordination. These enable strategic agility (SA) in competitive ecosystems.Using triangulated data from 32 interviews, 5,000+ documents, and AI analytics, we reveal DL's paradoxical nature. While decentralization enhances innovation, it risks capability fragmentation and algorithmic rigidity. The DDC framework mitigates risks through protocol-based coordination with algorithm safeguards.Theoretically, this work shifts DC theory from executive cognition to protocol-embedded routines, while connecting DL's structural decentralization with capability modularity (termed agility's modular institutionalization). Practically, we propose the 3A Framework (Autonomy, Algorithms, Alignment) for managing digital ecosystem agility.

Research on Hybrid Path Planning Algorithms for UAVs in Complex Environments

INTRODUCTION: This paper investigates a UAV path planning algorithm in a UAV-assisted network scenario, integrating both global and local path planning. Firstly, the ASPSO (Adaptive Spherical Vector-Based Particle Swarm Optimization) algorithm is proposed for offline path planning to obtain key global path points, providing a general flight strategy for the UAV. During the flight, the UAV continuously detects surrounding obstacles in real-time. If newly detected obstacles are encountered, the ECAVF (Enhanced Collision Avoidance Vector Field) algorithm is employed for local path planning to dynamically avoid obstacles and ensure the safety of the UAV.OBJECTIVES: The objective of this paper is to enhance the path planning capability of existing algorithms in complex three-dimensional environments, enabling UAVs to operate efficiently and safely.METHODS: The proposed ASPSO algorithm determines parameter ranges for different scenarios during the initialization phase, effectively reducing initialization time. Additionally, a multi-strategy optimization approach is introduced during the search process. Expanding the search space in the early iterations helps escape local optima, while minor perturbations are introduced in the later iterations to continue exploring within the neighbourhood of high-quality solutions. Finally, a method utilizing virtual control points for path refinement is proposed to smooth the trajectory. The ECAVF algorithm incorporates a dynamic adjustment factor based on relative velocity to optimize the vector field in the presence of multiple moving obstacles. By integrating factors such as distance and velocity, a hybrid vector field is constructed, demonstrating superior robustness in complex multi-obstacle scenarios.RESULTS: The proposed method is compared with the PSO (Particle Swarm Optimization), the Spherical Vector-based PSO, and the original CAVF (Collision Avoidance Vector Field) method. The results demonstrate that the proposed method exhibits higher initialization efficiency, superior initial solution quality, and the ability to obtain a more optimal global path. Additionally, it shows stronger dynamic obstacle avoidance capabilities and a higher success rate in avoiding obstacles.CONCLUSION: These results demonstrate that the proposed method effectively enhances the quality of global path planning solutions and improves the success rate of dynamic obstacle avoidance.