Dynamic Capabilities Research Articles

Correction to: The roles of corporate social responsibility, international entrepreneurial orientation, dynamic and technological capabilities in the performance of international new ventures

Correction to: The roles of corporate social responsibility, international entrepreneurial orientation, dynamic and technological capabilities in the performance of international new ventures

Advanced modelling and recurrent analysis in network security: Scrutiny of data and fault resolution

This research dealt with the critical integration of advanced modelling techniques and recurrent analysis within network security, with a primary goal of enhancing the critical analysis of network data and improving fault resolution processes. The study focuses on the development of advance, predictive models capable of identifying and mitigating security threats in real-time, leveraging the power of Recurrent Neural Networks (RNNs) alongside other sophisticated machine learning techniques. By harnessing the dynamic capabilities of these models, the research aims to address the growing complexity and sophistication of network threats, which require continuous monitoring and adaptive responses. Also, the study investigates the effectiveness of these advanced models in environments where network conditions are constantly evolving, necessitating security protocols that can dynamically adjust to new and emerging threats. Through rigorous data scrutiny and recurrent analysis, the research seeks to establish fault resolution mechanisms that not only detect and neutralize immediate security breaches but also anticipate potential vulnerabilities before they can be exploited. Ultimately, this research contributes to the advancement of network security by providing a framework that integrates cutting-edge technology with real-time adaptability, ensuring that security measures remain robust and effective in the face of ever-changing digital threats.

The effects of digital transformation on exploitation and exploration: does technological diversity matter?

PurposeFor survival and prosperity, enterprises need to simultaneously engage in exploitation and exploration. Digital transformation is of great significance to enterprise innovation. However, the impacts of digital transformation on exploitation and exploration remain unclear. Moreover, the impacts of technological diversity on the relationships between digital transformation and exploitation and exploration are also unknown.Design/methodology/approachBased on an integrated perspective of dynamic capability theory and organizational inertia theory and using data from Chinese listed enterprises from 2007 to 2020, this study clarifies the effects of digital transformation on exploitation and exploration and assesses the moderating effect of technological diversity.FindingsThe results show that digital transformation improves exploitation, but negatively impacts exploration. Technological diversity mitigates the negative effect of digital transformation on exploration, but the moderating effect on the relationship between digital transformation and exploitation is not significant.Originality/valueThis study contributes to the existing literature on the digital paradox and provides guidance for enterprises to clarify the direction of digital transformation.

Tunable sub-threshold current firing via insulator-to-metal transition enabled by lithographic nanochannels for neuromorphic applications

The electric field-driven insulator-to-metal transition (IMT) offers a promising platform for developing controllable, futuristic neuromorphic nanoelectronics. However, the volatile nature of IMT, typically stimulated by a specific threshold voltage, limits its potential use primarily to switch-like applications. To broaden its applications, including in-material data processing, achieving on-demand IMT activation with dynamic memory capability is essential. This study demonstrates on-demand modulation of IMT behavior using spatially confined VO2 nanochannels, designed by local probe lithography. This approach enables the integration of ultrafast (∼180 ns) volatile switches (on/off ratio >103) and memory storage, from short- to long-term, in a single device. Notably, the threshold voltage was effectively reduced from 5.6 V to 2.8 V by precisely modulating the width of spatially embedded VO2 nanochannels. The observed memory behavior is attributed to persistent metallic domains and preferential IMT along these channels, as confirmed by optical and Kelvin probe force microscopy. Furthermore, the ability to classify input patterns, even in the presence of noise, was demonstrated using interconnected coplanar nanochannels by leveraging the short-term memory characteristics of the IMT. This report marks a significant step towards on-demand nanoscale manipulation of the IMT dynamics, laying the groundwork for ultrasmall, high-speed, and energy-efficient conventional and neuromorphic nanoelectronics.

Identifying microfoundations of dynamic managerial capabilities for business model innovation

Identifying microfoundations of dynamic managerial capabilities for business model innovation

P53 Orchestrates Cancer Metabolism: Unveiling Strategies to Reverse the Warburg Effect

Cancer cells exhibit significant alterations in their metabolism, characterised by a reduction in oxidative phosphorylation (OXPHOS) and an increased reliance on glycolysis, even in the presence of oxygen. This metabolic shift, known as the Warburg effect, is pivotal in fuelling cancer’s uncontrolled growth, invasion, and therapeutic resistance. While dysregulation of many genes contributes to this metabolic shift, the tumour suppressor gene p53 emerges as a master player. Yet, the molecular mechanisms remain elusive. This study introduces a comprehensive mathematical model, integrating essential p53 targets, offering insights into how p53 orchestrates its targets to redirect cancer metabolism towards an OXPHOS-dominant state. Simulation outcomes align closely with experimental data comparing glucose metabolism in colon cancer cells with wild-type and mutated p53. Additionally, our findings reveal the dynamic capability of elevated p53 activation to fully reverse the Warburg effect, highlighting the significance of its activity levels not just in triggering apoptosis (programmed cell death) post-chemotherapy but also in modifying the metabolic pathways implicated in treatment resistance. In scenarios of p53 mutations, our analysis suggests targeting glycolysis-instigating signalling pathways as an alternative strategy, whereas targeting solely synthesis of cytochrome c oxidase 2 (SCO2) does support mitochondrial respiration but may not effectively suppress the glycolysis pathway, potentially boosting the energy production and cancer cell viability.

Authentic Leadership and Team Performance: Exploring the Mediating Role of Dynamic Adaptive Capability

Introduction/Main Objectives: This research explores Dynamic Adaptive Capability to achieve Team Performance in higher education institutions, focusing on the challenges posed by a rapidly changing global environment. The study emphasizes the importance of dynamic adaptability as a mediating variable, connecting Authentic Leadership and Justice Climate as key elements influencing Team Performance. Background Problems: The main question of this research is whether Authentic Leadership improves Team Performance through Dynamic Adaptive Capability. The urgency of this research in Indonesia's higher education context is critical, considering that the ever-changing global environment demands rapid and effective adaptation to remain competitive and relevant. Novelty: Empirical evidence explaining how Authentic Leadership can improve Team Performance in Indonesian higher education still needs to be explored. Therefore, research that finds this mechanism is still required and adds Dynamic Adaptive Capability as a mediator. Research Methods: This research collected a survey of the Head of the Study Program as a team representative, used purposive sampling, and utilized AMOS SEM analysis to test the hypothesis. Finding/Results: The research shows that Authentic Leadership positively impacts Dynamic Adaptive Capability and Team Performance. Meanwhile, Justice Climate has no relationship with Team Performance but positively impacts Dynamic Adaptive Capability. Dynamic Adaptive Capability positively mediates Authentic Leadership and Team Performance while negatively mediating Justice Climate and Team Performance. Conclusion: In addition to supporting several hypotheses, this research also highlights the complex and diverse nature of these relationships, prompting recommendations for strategic planning and further investigation to deepen our understanding of the dynamics in organizational environments.

Research on Reactive Power Optimization of Synchronous Condensers in HVDC Transmission Based on Reactive Power Conversion Factor

With the rapid development of high-voltage direct current (HVDC) transmission systems, the coupling between AC and DC grids is becoming increasingly close. Voltage disturbances in the grid can easily cause commutation failures in the DC system, threatening its safe and stable operation. The new generation of synchronous condensers (SCs) and modified synchronous condenser units are powerful reactive power support devices widely used in large-capacity DC transmission systems. To maximize the voltage support and commutation failure suppression of SCs, this paper proposes improvements in the initial operating state of SCs, using the Shanxi–Wuhan HVDC receiving end in the Hubei power grid as an example, to better support the HVDC commutation process. Additionally, a reactive power output optimization strategy for SCs is proposed, considering the reactive power equivalent factor of electrical connections between grid nodes. This strategy determines the optimal reactive power output limit of SCs near the converter station to suppress DC commutation failures. Simulation results show that this strategy effectively utilizes the dynamic support capabilities of SCs, prevents DC commutation failures, improves HVDC transmission capacity, and enhances the safety and stability of the receiving end power grid, providing theoretical guidance for reactive power output control.

Supplementary Strategies for Organizational Resilience in the Times of Crises : A Literature Review

This literature review explores complementary strategies for enhancing organizational resilience during crises. The study examines how innovation, dynamic capabilities, internal competencies, external support, and crisis-derived opportunities interact with resilience to help businesses survive and thrive in uncertain times. Through analysis of 26 Scopus-indexed articles from 1998 to 2024, the paper proposes an integrated model positioning organizational resilience as the core element, supported by innovation and dynamic capabilities as key enablers. Internal capabilities like networking and adaptability, along with external factors such as government support and digitalization, further reinforce resilience. Additionally, the study highlights how crises, despite their challenges, can drive positive transformation and growth when approached strategically. The proposed model suggests that maximizing these complementary elements collectively strengthens an organization's capacity to weather crises and emerge stronger. While providing valuable insights, the paper acknowledges limitations in its literature-based approach and calls for empirical testing across diverse contexts. This research contributes to a more holistic understanding of organizational resilience, offering a framework for businesses to develop comprehensive strategies for navigating crises and capitalizing on emergent opportunities.

Research on the Design of Multi-Rope Friction Hoisting System of Vertical Shaft Gravity Energy Storage System

Renewable energy generation methods such as wind power and photovoltaic power have problems of randomness, intermittency, and volatility. Gravity energy storage technology can realize the stable and controllable conversion of gravity potential energy and electric energy by lifting and lowering heavy loads. The hoisting system is an important component of a gravity energy storage system, and its lifting capacity and speed seriously restrict its energy storage capacity, energy conversion efficiency, and operational safety and reliability. In this paper, a design method for a multi-rope friction hoisting system of a vertical shaft gravity energy storage system is proposed. The parameter design and calculation of the hoisting rope, balance rope, and friction wheel of the friction hoisting system under typical conditions were carried out. The static and dynamic anti-slip capabilities of the friction hoisting system under the typical condition were explored. The results show that the maximum acceleration and deceleration speed of the compacted strand wire rope scheme is the largest, and the lifting and lowering time is the shortest. The maximum acceleration and deceleration speed of the triangular strand wire rope scheme is the lowest, and the lifting and lowering time is the longest. The dynamic tension of the hoisting rope at the heavy-load end is positively correlated with the acceleration, and the maximum value occurs in the accelerated lifting stage and decelerated lowering stage of the heavy load. The static anti-slip safety factor between the hoisting rope and the friction lining and the specific pressure between the hoisting rope and the friction lining comply with the requirements of China’s Safety Regulations for Coal Mines. The dynamic anti-slip safety factor of the hoisting system under different rope selection schemes is greater than the minimum value of 1.25 stipulated in the Safety Regulations for Metal and Nonmetal Mines. The research results are of great significance for the safety, reliability, and stable and efficient energy storage of a gravity energy storage system.

Sustainable Entrepreneurial Orientation (SEO), and Organizational Performance: A Gender-Moderated Perspective in Peru

Sustainable Entrepreneurial Orientation (SEO) is an emergent concept and a complex dynamic capability that could explain the behavioral predisposition of individuals and organizations to contribute to sustainable development. This study examined the impact of decision-makers' SEO on the organizational performance of their companies. In addition, the study evaluated the moderating role of gender in the relationship between SEO and performance. The approach of the study was explanatory and non-experimental. It used a PLS-SEM technique on a sample of 121 decision-makers of micro and small enterprises operating in different sectors in Peru, a highly entrepreneurial country in Latin America. After validating the SEO measurement from the individual perspective, the results showed that SEO does affect performance. However, the moderating role of gender on the SEO-performance relationship was not empirically validated. This study contributes to the literature on sustainable entrepreneurship by confirming that the phenomenon of SEO, typically assessed at the organizational level, is also an important antecedent of organizational performance when viewed from the individual perspective. Although the moderating effect of gender was not proven, this study provides insightful directions on the SEO-performance relationship. Thus, by validating the SEO instrument that considers its components from an individual perspective, the literature on this strategic orientation has been expanded.

Effect of Data Integration Techniques on Operational Efficiency in Manufacturing Industries in Iran

Purpose: The aim of the study was to assess the effect of data integration techniques on operational efficiency in manufacturing industries in Iran. Materials and Methods: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that by seamlessly amalgamating data from disparate sources across production lines, supply chains, and customer feedback systems, manufacturers have been able to streamline processes, optimize resource allocation, and achieve significant cost savings. For instance, real-time data integration facilitates timely decision-making, allowing for adaptive production planning and inventory management. Furthermore, the integration of advanced analytics and machine learning algorithms has enabled predictive maintenance strategies, reducing downtime and enhancing overall equipment effectiveness (OEE). These technological advancements not only bolster operational efficiency but also foster innovation, as companies leverage integrated data insights to drive continuous improvement initiatives and meet evolving consumer demands. Implications to Theory, Practice and Policy: Resource-based view (RBV), technology acceptance model and dynamic capabilities theory may be used to anchor future studies on assessing the effect of data integration techniques on operational efficiency in manufacturing industries in Iran. Manufacturing firms should prioritize strategic implementation plans for data integration technologies to ensure that investments in IoT, AI, ETL, data warehousing, data virtualization, and APIs are aligned with their overall business objectives. Policymakers should provide incentives and support for the adoption of advanced data integration technologies in the manufacturing sector.

Does customer orientation mediate the relationship between knowledge-based dynamic capability and the competitive performance of SMEs in India?

Purpose This paper aims to examine the mediating effect of customer functional and relationship customer orientation on the relationship between the knowledge-based dynamic capabilities and the competitive performance (CP) of small and medium enterprises (SMEs) operating in India. Design/methodology/approach The hypotheses proposed for this study were tested using data from the proprietors and competent authorities of 441 sample SMEs using structural equation modelling with partial least squares. Findings The results of this study indicate that knowledge-based dynamic capability (KBDC) has a significant connection with the CP of SMEs in a growing economy such as India. In addition, this study confirmed that the connection and functional customer orientation partially mediate the association between knowledge-based dynamic capabilities and the CP of SMEs. Practical implications This study’s practical contribution lies in its investigation of whether customer orientation serves as a mediator between KBDC and CP in SMEs in India. For instance, SMEs can implement strategies like customer feedback loops, loyalty programmes and customized solutions based on market insights to enhance customer orientation and ultimately improve CP. Originality/value This study analyses how SMEs can use knowledge-based dynamic capabilities and customer orientation to obtain a competitive advantage. This research contributes to the existing literature on knowledge management by expanding the notion of KBDC by integrating functional and relational customer orientation.

The impact of marketing assets of foreign subsidiaries on marketing dynamic capabilities of multinational enterprises (MNEs): the mediating effect of customer orientation

The impact of marketing assets of foreign subsidiaries on marketing dynamic capabilities of multinational enterprises (MNEs): the mediating effect of customer orientation

Navigating digital transformation: Insights from recent studies on process automation and innovation

The integration of process automation and digital transformation is reshaping modern business practices, driving efficiency, innovation, and strategic agility. Studies reviewed provide comprehensive insights into how technologies such as Artificial Intelligence (AI), Robotic Process Automation (RPA), and the Internet of Things (IoT) are revolutionizing various sectors, particularly manufacturing and process industries. Research by Bichel et al. (2023) explores how AI and RPA are transforming workplaces, emphasizing the need for businesses to adapt to rapidly changing environments and promote employee creativity. Their study highlights the importance of establishing intelligent IT ecosystems and integrating new strategies across departments to leverage digital transformation effectively. Sjödin et al. (2018) focus on the development of "smart factories," which use advanced digital technologies to enhance operational efficiency, product quality, and sustainability. They identify the benefits of smart factories, including reduced costs and increased adaptability, while also noting the significant challenges of implementing such large-scale transformations. Their proposed maturity model emphasizes the need for cultivating digital skills, adopting agile processes, and using modular technologies. Chirumalla (2021) investigates how digitalization and Industry 4.0 technologies can improve process industries by enhancing product quality and operational flexibility. The study develops a framework with 19 dynamic capabilities for transitioning from traditional to digitally-enabled process innovations, identifying key challenges and enablers for successful implementation. Malik et al. (2021) examine the broad application of digital transformation across engineering domains, highlighting its role in automating traditional processes and addressing big-data challenges. The editorial presents 52 applications of digital transformation, showcasing advancements in areas such as cybersecurity, intelligent manufacturing, and advanced construction.

Can FinTech promote enterprises’ ambidextrous innovation capability? Organizational resilience perspective

Herein, we investigate the impact of FinTech on enterprises’ ambidextrous innovation capability from an organizational resilience standpoint, using panel data from Chinese A–share listed companies from 2008 to 2022. Our findings indicate that a one-unit increase in FinTech development results in a 2.9 % and 10.1 % increase in exploratory and exploitative innovation capability, respectively. Furthermore, organizational resilience amplifies these effects by 2.4 % and 2.5 %, respectively. Robustness checks and heterogeneity analysis confirm the results’ reliability and highlight FinTech's differential impact on state-owned enterprises (SOEs) and non-SOEs. The study contributes to the literature by integrating the resource-based view, dynamic capabilities framework, and institutional theory to explain the relation between FinTech, organizational resilience, and ambidextrous innovation capability. The findings have important implications for managers and policymakers, emphasizing the importance of actively embracing FinTech development, nurturing organizational resilience, and considering the differential impact of FinTech on SOEs and non-SOEs when developing policies to promote innovation and resilience in the face of technological change.

The Green Entrepreneurial Self-Efficacy as an Innovation Factor That Enables the Creation of New Sustainable Business

This study examined the role of green entrepreneurial self-efficacy (GESE) through the lens of dynamic capabilities in innovation and adaptation. The research model postulated a relationship between the reconfiguration of entrepreneurial capabilities necessary to achieve a sustainable business model in the market. A structured questionnaire was adopted, validated, and disseminated among 917 entrepreneurs in Spain and Portugal (Iberian Peninsula). The findings confirmed a significant positive effect of dynamic capabilities on green and sustainable entrepreneurial intentions, mediated by self-efficacy. The study’s results indicate significant relationships between the capabilities studied, and that innovation and adaptation capabilities influence green entrepreneurial self-efficacy. These results are fundamental in guiding the market towards business models that need to be reconfigured to generate value through social impact. We offer management implications for organizations, academics, and other stakeholders, such as policymakers, so that the needs of the green market in the Iberian Peninsula can be met more efficiently.

Developing a strategic roadmap towards integration in Industry 4.0: A dynamic capabilities theory perspective

In recent years, the topic of the fourth industrial revolution has been discussed by industries and organizations. Currently, this topic has evolved beyond conceptualization, focusing more on challenges, capabilities, and benefits. This research aims to identify dynamic capabilities within the context of Industry 4.0. Employing literature review and content analysis, we utilized grounded theory to identify capabilities. Validation was achieved through feedback from 11 scholars using questionnaires and the Delphi method. The analysis confirmed the presence of 26 dynamic capabilities essential for Industry 4.0. Subsequently, the Dynamic Capabilities theory was applied to categorize these capabilities into ‘sensing,’ ‘seizing,’ and ‘reconfiguration.’ As a result, this study establishes a roadmap model that prioritizes capabilities for Industry 4.0 integration across these categories. It organizes capabilities based on priority for implementation and within each category, highlighting the most crucial ones determined by scholars' scores. This model provides a comprehensive understanding of the path towards integration in Industry 4.0.

EmotionCast: An Emotion-Driven Intelligent Broadcasting System for Dynamic Camera Switching.

Traditional broadcasting methods often result in fatigue and decision-making errors when dealing with complex and diverse live content. Current research on intelligent broadcasting primarily relies on preset rules and model-based decisions, which have limited capabilities for understanding emotional dynamics. To address these issues, this study proposed and developed an emotion-driven intelligent broadcasting system, EmotionCast, to enhance the efficiency of camera switching during live broadcasts through decisions based on multimodal emotion recognition technology. Initially, the system employs sensing technologies to collect real-time video and audio data from multiple cameras, utilizing deep learning algorithms to analyze facial expressions and vocal tone cues for emotion detection. Subsequently, the visual, audio, and textual analyses were integrated to generate an emotional score for each camera. Finally, the score for each camera shot at the current time point was calculated by combining the current emotion score with the optimal scores from the preceding time window. This approach ensured optimal camera switching, thereby enabling swift responses to emotional changes. EmotionCast can be applied in various sensing environments such as sports events, concerts, and large-scale performances. The experimental results demonstrate that EmotionCast excels in switching accuracy, emotional resonance, and audience satisfaction, significantly enhancing emotional engagement compared to traditional broadcasting methods.

A bibliometric perspective: three stages of green knowledge management thematic evolution in business literature

Purpose Green knowledge management (GKM) has become a more prominent research topic because of its ability to balance business sustainability, performance and society's well-being. The purpose of this paper is to study how GKM literature evolved before and after two major events: the introduction of sustainable development goals (SDGs) and the first conceptualization of GKM. In this paper, GKM is holistically examined following the stages of the knowledge management cycle, a framework for organizational knowledge-processing phases. Design/methodology/approach This study performed a bibliometric analysis of 1,274 papers related to GKM from 1995 until January 2024. Findings Over the three decades, this research outlined the intertwined relationships between core themes in the domain such as knowledge management in the context of corporate social responsibilities, sustainable development (SD), competitive advantage and so on, and popular theories. GKM evolved from an “industrial and technical view” of knowledge management to a more emerging perspective of a “social process.” Emerging themes were identified such as green innovation, information security or organizational learning sub-themes with key technologies like block-chain, big data analytics and artificial intelligence. Future research can explore themes such as green knowledge integration, green entrepreneurship, green supply chain and green knowledge integration capabilities. Practical implications This review offers practitioners a holistic picture of GKM to tackle emerging environmental concerns and increase businesses' competitive advantages. This study provides insights into the future practices of GKM, incorporating emerging technological advancement, to gain green intellectual capital and build dynamic capabilities for sustainability. Originality/value To the best of authors’ knowledge, this study is the first to provide a comprehensive picture of the GKM literature, from its earliest forms of corporate social responsibility and SD until the introduction of SDGs, and in combination with the evolution of knowledge management cycle stages.