Organizational Dynamics Research Articles

The New Brave World of Public Relations: The Impact of Organizational Dynamics on Adoption of AI

ABSTRACT The transformative potential of Artificial Intelligence (AI) in strategic communication is widely acknowledged, yet existing academic research provides insufficient guidance on both understanding this transformation theoretically and optimizing AI’s benefits. This study addresses these critical gaps in the literature by focusing on the effective use and theoretical comprehension of AI in public relations. We investigate the perceived knowledge gaps among senior public relations professionals regarding AI integration in organizational operations. Using a mixed methods study approach involving a survey and focus group with senior industry leaders, this research explores AI applications in public relations. Drawing on the Model of Personal Computing Utilization (MPCU) from the field of Information Systems, this interdisciplinary study offers a robust framework to analyze AI’s role and its impact on reshaping public relations practices. The findings emphasize the critical influence of organizational dynamics on AI adoption, highlighting the importance of dynamic capabilities in leveraging AI as a source of competitive advantage. We provide key insights into the effective integration of AI in strategic communication, address important ethical considerations, and propose avenues for future research.

DETERMINANTS OF REGIONAL ORIGINAL REVENUE AND ITS IMPACT ON REGIONAL INDEPENDENCE IN BANTEN PROVINCE

The study aims to examine the influence of taxpayer compliance, organizational culture, and organizational commitment on local revenue, as well as its impact on regional independence in Banten Province. The data analysis in this study uses a quantitative analysis method with the analysis tool used is Partial Least Square-Path Modeling (PLS-PM 3.0). The results of this study show that there is a significant positive influence of regional taxpayer compliance with regional original income. The coefficient of the path parameter obtained a path coefficient value of 0.012 significantly at 2.068 > t-table 1.96 and a p-value of 0.000 a significance level of 0.05, which states that there are significant positive influences of regional tax compliance with the original income of the region. Organizational commitment has no effect on the original regional income. This study provides valuable insights for policymakers and local government officials on the importance of fostering a culture of compliance and commitment within organizations to enhance financial performance. The findings also add to the existing literature on public finance and governance, highlighting the interconnectedness of taxpayer behavior and organizational dynamics in achieving fiscal independence at the regional level.

Supply-driven academic innovation. Establishing entrepreneurship education as a discipline in Spain (1974–2000s)

ABSTRACT This paper examines the emergence and institutionalization of entrepreneurship education (EE) as an academic discipline in Spain, focusing on the pioneering efforts at IESE Business School between 1974 and the early 2000s. Leveraging the existing conceptual frameworks for the formation of new academic fields, the study explores the interplay of differentiation, resource mobilization, and legitimacy building in EE’s evolution. Unlike demand-driven paradigms observed in early industrialized nations, this research highlights the critical role of supply-side innovation in fostering entrepreneurship education in late-developing economies like Spain. By employing qualitative and historical methods and incorporating a micro-level perspective, the study addresses gaps in understanding how historical context, social networks and organizational dynamics shape the establishment of new academic fields. The findings also contribute to historiography by refining the definition and chronology of the global expansion of EE.

Impact of digital business transformation on organizational ambidexterity and performance in indonesian insurance firms

Purpose: This study investigates the impact of digital business intensity and transformation on organizational ambidexterity and sustainable performance on insurance companies in Indonesia from a dynamic capabilities’ perspective.Design/methodology/approach: The study uses a quantitative approach, purposive sampling used to select insurance companies with assets over IDR 1 trillion. The primary data was obtained directly from the top-level management unit of 120 data questionnaires, namely, 40 Chief Executive Officer (CEO), 40 chief agency officer (CAO) and 40 Chiefs Technology Officer CTO) of each company. The data of each department in a company is aggregated as a single unit of responses from one company. The Structural Equation Model is used as a method to test and analyze data, using SmartPLS software.Purpose: This study aims to investigate the impact of digital business intensity and digital transformation on organizational ambidexterity and sustainable organizational performance in Indonesian insurance firms from a dynamic capability perspective.Design/methodology/approach: Through quantitative approach, purposive sampling is used to select insurance companies with assets exceeding IDR 1 trillion. Primary data was collected through structured questionnaires distributed to 120 top-level executives, including 40 Chief Executive Officers (CEOs), 40 Chief Agency Officers (CAOs), and 40 Chiefs Technology Officers CTOs). Responses from each company were aggregated to form a unified dataset for analysis. Structural Equation Modeling (SEM) was used to analyze the data using SmartPLS software.Findings: The findings reveal that both digital business transformation and government interventions significantly increase organizational ambidexterity. Furthermore, organizational ambidexterity serves as a mediator for the relationship between digital business intensity and government intervention towards sustainable organizational performance. The mediating role of organizational ambidexterity in the relationship for digital business intensity and sustainable organizational performance is positively moderated by digital business intensity.Research limitations/implications: The study applies dynamic capability as a theoretical basis to understand how insurance companies can attain sustainable performance in the digital age. However, it acknowledges limitations, such as the exclusion of external factors like macroeconomic conditions, regulatory changes, and rapid technological advancements. The focus on the insurance sector may also limit the applicability of the findings to other industries with different dynamics.Practical implications: The study provides actionable insights for insurance firms to refine their digital strategies. By developing and validating new metrics to measure digital business intensity and sustainable performance, firms can better assess the effectiveness of their digital transformation. This framework serves as a guide for practitioners to evaluate the impact of digital initiatives on their organizations.Originality/value: This study enriches the organizational literature by demonstrating how digital business intensity and ambidexterity contribute to enhancing sustainable performance in the insurance industry. It also highlights the significance of government policies as external factors influencing organizational dynamics, offering a new perspective on how these elements interact within the context of dynamic capabilities in the financial sector.

Tripartite organization of brain state dynamics underlying spoken narrative comprehension

Tripartite organization of brain state dynamics underlying spoken narrative comprehension

Tripartite organization of brain state dynamics underlying spoken narrative comprehension.

Speech comprehension involves the dynamic interplay of multiple cognitive processes, from basic sound perception, to linguistic encoding, and finally to complex semantic-conceptual interpretations. How the brain handles the diverse streams of information processing remains poorly understood. Applying Hidden Markov Modeling to fMRI data obtained during spoken narrative comprehension, we reveal that the whole brain networks predominantly oscillate within a tripartite latent state space. These states are, respectively, characterized by high activities in the sensory-motor (State #1), bilateral temporal (State #2), and default mode networks (DMN; State #3) regions, with State #2 acting as a transitional hub. The three states are selectively modulated by the acoustic, word-level semantic, and clause-level semantic properties of the narrative. Moreover, the alignment with both the best performer and the group-mean in brain state expression can predict participants' narrative comprehension scores measured from the post-scan recall. These results are reproducible with different brain network atlas and generalizable to two datasets consisting of young and older adults. Our study suggests that the brain underlies narrative comprehension by switching through a tripartite state space, with each state probably dedicated to a specific component of language faculty, and effective narrative comprehension relies on engaging those states in a timely manner.

Performance and Organizational Adaptation Improvement of Private Course and Training Institutions

Interactions among culture, commitment, and organizational adaptation play a significant role in non-formal educational organizations, such as private courses and training institutions. These factors are crucial for maintaining and enhancing organizational performance. This research examines the organizational dynamics within private course and training institutions in Indonesia, focusing on how strategic management and work engagement directly contribute to organizational success and adaptability. By integrating quantitative assessments with a comprehensive theoretical framework, this study aims to provide a deeper understanding of the factors driving the successful adaptation of private course and training institutions in Indonesia amidst increasing global competition and technological advancements. Through this exploration, the research seeks to offer strategic insights and best practices for non-formal educational organizations in similar contexts. This research surveyed approximately 500 staff members from various Private Course and Training Institutions (PCTIs) across Indonesia, selected through systematic sampling from an estimated population of 576 to 960 individuals working in 192 PCTIs. A structured questionnaire, consisting of both closed and open-ended questions, was used to collect quantitative data regarding their perceptions of key organizational factors. The analysis techniques employed included multiple regression, path analysis, and Structural Equation Modeling (SEM) to explore the relationships between variables and understand organizational dynamics within these institutions. The results indicate several significant direct impacts among the variables. Work Engagement (X6) demonstrates a strong and statistically significant impact on Organizational Adaptation (Y3) with a path coefficient of 0.470 (p < 0.001), indicating a substantial direct effect. Organizational Learning (X4) also shows a significant impact on Work Engagement (X6) with a high coefficient of 0.660 (p < 0.001), and on Organizational Adaptation (Y3) with a coefficient of 0.228 (p = 0.014). Knowledge Transfer (X5) has a considerable direct impact on Organizational Adaptation (Y3) and Performance (Y1 and Y2) with coefficients ranging from 0.078 to 0.119, all of which are statistically significant. Conversely, the impact of Organizational Culture (X3) on Organizational Adaptation (Y3) is very weak and not significant (coefficient = 0.010, p = 0.651).

Optimizing Teacher Engagement: The Role of Self-Efficacy, Interpersonal Communication, Organizational Culture, and Job Satisfaction Using Path and SITOREM Analysis

Abstract: Teacher engagement represents a teacher's alignment with their organization, characterized by physical, emotional, and rational commitment, fostering satisfaction and dedication to their profession. This study investigates strategies to enhance teacher engagement by analyzing the influence of self-efficacy, interpersonal communication, organizational culture, and job satisfaction. Employing a quantitative approach, the research uses path analysis to explore variable relationships and the SITOREM method to prioritize indicators for targeted interventions. Data were collected through surveys administered to 168 permanent teachers from PGRI vocational high schools in Bogor Regency, selected using the Slovin formula. The findings demonstrate that self-efficacy, interpersonal communication, and organizational culture significantly impact teacher engagement, both directly and indirectly, through job satisfaction. Organizational culture emerged as the most influential factor, highlighting the critical role of fostering a supportive, adaptive, and value-oriented work environment. SITOREM analysis identified actionable priorities, including enhancing teacher self-efficacy through vicarious experiences and verbal persuasion and strengthening organizational culture by promoting innovation and inclusivity. This study advances educational management by providing evidence-based recommendations for fostering teacher engagement. It underscores the necessity of integrating strategies that enhance individual capabilities and organizational dynamics to cultivate a motivated and committed teaching workforce. However, as the research is confined to vocational school teachers in one region, further studies are needed to validate and generalize these findings across diverse educational settings.Keywords: teacher engagement, self-efficacy, interpersonal communication, organizational culture, job satisfaction.DOI: http://dx.doi.org/10.61436/bsscd/v3i1.pp19-33

Optimizing Teacher Engagement: The Role of Self-Efficacy, Interpersonal Communication, Organizational Culture, and Job Satisfaction Using Path and SITOREM Analysis

Abstract: Teacher engagement represents a teacher's alignment with their organization, characterized by physical, emotional, and rational commitment, fostering satisfaction and dedication to their profession. This study investigates strategies to enhance teacher engagement by analyzing the influence of self-efficacy, interpersonal communication, organizational culture, and job satisfaction. Employing a quantitative approach, the research uses path analysis to explore variable relationships and the SITOREM method to prioritize indicators for targeted interventions. Data were collected through surveys administered to 168 permanent teachers from PGRI vocational high schools in Bogor Regency, selected using the Slovin formula. The findings demonstrate that self-efficacy, interpersonal communication, and organizational culture significantly impact teacher engagement, both directly and indirectly, through job satisfaction. Organizational culture emerged as the most influential factor, highlighting the critical role of fostering a supportive, adaptive, and value-oriented work environment. SITOREM analysis identified actionable priorities, including enhancing teacher self-efficacy through vicarious experiences and verbal persuasion and strengthening organizational culture by promoting innovation and inclusivity. This study advances educational management by providing evidence-based recommendations for fostering teacher engagement. It underscores the necessity of integrating strategies that enhance individual capabilities and organizational dynamics to cultivate a motivated and committed teaching workforce. However, as the research is confined to vocational school teachers in one region, further studies are needed to validate and generalize these findings across diverse educational settings. Keywords: teacher engagement, self-efficacy, interpersonal communication, organizational culture, job satisfaction.

Knowledge Flow Dynamics in Organizations: A Stochastic Multi-Scale Analysis of Learning Barriers

Organizations face fundamental challenges in managing knowledge flows across complex networks, yet existing frameworks often lack quantitative tools for optimization. We develop a novel stochastic multi-scale model introducing knowledge flow viscosity (KFV) to analyze organizational learning dynamics. This model quantifies resistance to knowledge transfer using a time-varying viscosity tensor, capturing both continuous learning processes and discrete knowledge acquisition events. Through renormalization group analysis, we establish the existence of critical thresholds in knowledge diffusion rates, characterizing phase transitions in organizational learning capacity. Numerical simulations demonstrate that targeted reductions in communication barriers near these thresholds can significantly enhance knowledge flow efficiency. The findings provide a mathematical foundation for understanding multi-level knowledge flow dynamics, suggesting precise conditions for effective interventions to optimize learning in complex organizational systems.

Viable and Sustainable Model for Adoption of New Technologies in Industry 4.0 and 5.0: Case Study on Pellet Manufacturing

This manuscript presents the development and testing of a novel model designed to help organizations, particularly small and medium-sized enterprises (SMEs), address the challenges of integrating new technologies within the frameworks of Industry 4.0 and 5.0. The proposed model is a metamodel that evaluates organizational and contextual vulnerabilities concerning both existing technologies and potential external technologies under consideration for adoption. It synthesizes three foundational frameworks: the Viable System Model (VSM), the principles of viable and sustainable systems, and the Technology, Organization, and Environment (TOE) Model. The findings demonstrate the practical applicability of this model in an SME context, showcasing its ability to facilitate the gradual and sustainable adoption of new technologies. By aligning business needs with technological solutions and leveraging insights from computer science and organizational cybernetics, the model adapts to varying levels of technological adoption, integrating organizational dynamics and business evolution to support the implementation of emerging technologies.

Factors influencing IFRS 13 adoption in enhancing financial report accuracy

This study aims to identify the factors affecting the adoption of IFRS 13 and its significance in improving financial report accuracy among employees at various financial institutions in Erbil, Iraq. The research unveils various findings that require further exploration, such as the roles of regulatory factors, organizational dynamics, market pressures, technical expertise and knowledge, economic conditions, and external influences on educational or professional development incorporated with institutionalism in IFRS 13 adoption. This finding of the current study illustrates clearly that the adoption of IFRS 13 does significantly improve accuracy, clarity, and reliability in financial reporting thereby giving a clearer picture to stakeholders for making informed decisions. Second, the research highlights that educational and professional development, organizational practices, or technical expertise are fundamental for enhancing IFRS 13 adoption success as well as financial reports accuracy that can be driven by IFRS 13. The findings have some practical implications for financial institutions, regulators, and policymakers. Continuous education and training programs and internal controls should be strengthened and increased support from the regulatory bodies may help in faster membership achievement of IFRS 13 compliance requirements. This research could be extended to study the long-term implications of IFRS 13 adoption, how technology can support and promote this implementation process, and cultural factors in different industries and across geographical areas that may affect an agent’s willingness to use such measurements.

Why is learning from patient safetyincidents (still) so hard? Asociocultural perspective onlearningfrom incidents inhealthcare organizations.

Despite robust quality improvement efforts in healthcare, learning from patient safety incidents remains difficult. Our study explores counter-vailing powers shaping learning processes and possibilities in healthcare organizations, with a focus on social, political and organizational dynamics of learning. Deploying concepts of situated curriculum, boundary work and interconnected knowledge practices, we interviewed staff and physicians (n=15) in a large Academic Health Science Centre in Canada about their experiences of incident investigations and resultant information sharing. Our analytical strategy was abductive, drawing connections to sociology of the professions and learning sciences literature. Incident investigation and follow-up processes are relatively robust for learning about incidents in the organization. However, learning from incidents remains difficult, complicated by the professional politics of incident classification, counter-vailing policies related to privacy, the organization of improvement work towards reporting, and an organizational focus on incidents with severe outcomes. Participants advocated for a broader view of incidents, moving beyond classification and investigation based on severity of outcome to also include incidents that are "learning rich". To that end, we argue for more research on the role of Patient Safety Specialists in organizational learning and more collaborations with learning sciences. This paper illuminates ways in which robust information dissemination structures are an important but insufficient condition for learning from incidents. The argument goes beyond a prescriptive approach to learning from incidents to instead explore the competing visions and values implicated with improvement practices.

Hydrogen Bonding-Driven Adaptive Coacervates as Protocells.

Coacervation based on liquid-liquid phase separation (LLPS) has been widely used for the preparation of artificial protocells and to mimic the dynamic organization of membrane-free organelles. Most complex synthetic coacervates are formed through electrostatic interactions but cannot withstand high ionic strength conditions (>0.1 M). Alternative components and driving forces are highly desired for the formation of natural organelles to overcome the drawbacks of traditional coacervates. Herein, hydrogen bonding-driven adaptive coacervates are reported via the complexation of poly(ethylene glycol) (PEG) and tannic acid (TA). The LLPS behavior of these adaptive coacervates is dependent on the concentration and mass ratio of PEG and TA, which can be used to tune the size of coacervates ranging from 70 nm to 10 μm as well as the morphology of isotropic particles and hollow capsules. Coacervates are stable at high ionic concentrations up to 1 M and can serve as protocells to mimic cellular behaviors including metabolism (e.g., nutrient uptake), phagocytosis, and membrane fusion. The reported approach provides a platform for the rational design of hydrogen bonding-driven coacervates with controllable size and morphology, offering potential applications in protocell construction and therapeutic delivery.

"There is a lot more potential” - practitioner perspectives on technology and data-driven talent identification, selection, and development in a German Bundesliga academy

This case study explored the perceptions and utilisation of data-driven methods of coaches, scouts, and a sporting manager overseeing the U8-U14 unit of a German Bundesliga academy. It comprised seven semi-structured interviews and employed thematic analysis to unravel the complexities of talent identification, selection and development (TISD). The findings provide highly contextual insights into practices and perceptions of key stakeholders within the context of academy football. Technology and data-driven methods were restricted to anthropometric measurements and automated video evaluations. Nonetheless, informants recognised the potential of data-driven methods, such as AI, to enhance TISD practices and decision-making. Financial constraints did not pose a barrier, however, challenges, such as limited expertise and insufficient time for data interpretation, hindered the wider adoption of data-driven strategies and technologies. It is suggested that training staff in data interpretation and investing in skilled personnel could improve the effective use of new technologies and enhance player development. Legal regulations, such as the General Data Protection Regulations, were perceived as potential hurdles to adopt innovative methods. Moreover, demographic dynamics, particularly younger staff, are believed to positively influence technological adoption. The need for further research to explore how organisational dynamics and data protection laws impact the adoption and effectiveness of data-driven methods in football academies was suggested.

GEMIN5 and neurodevelopmental diseases: from functional insights to disease perception.

GEMIN5 is a predominantly cytoplasmic multifunctional protein, known to be involved in recognizing snRNAs through its WD40 repeats domain placed at the N-terminus. A dimerization domain in the middle region acts as a hub for protein-protein interaction, while a non-canonical RNA-binding site is placed towards the C-terminus. The singular organization of structural domains present in GEMIN5 enables this protein to perform multiple functions through its ability to interact with distinct partners, both RNAs and proteins. This protein exerts a different role in translation regulation depending on its physiological state, such that while GEMIN5 down-regulates global RNA translation, the C-terminal half of the protein promotes translation of its mRNA. Additionally, GEMIN5 is responsible for the preferential partitioning of mRNAs into polysomes. Besides selective translation, GEMIN5 forms part of distinct ribonucleoprotein complexes, reflecting the dynamic organization of macromolecular complexes in response to internal and external signals. In accordance with its contribution to fundamental cellular processes, recent reports described clinical loss of function mutants suggesting that GEMIN5 deficiency is detrimental to cell growth and survival. Remarkably, patients carrying GEMIN5 biallelic variants suffer from neurodevelopmental delay, hypotonia, and cerebellar ataxia. Molecular analyses of individual variants, which are defective in protein dimerization, display decreased levels of ribosome association, reinforcing the involvement of the protein in translation regulation. Importantly, the number of clinical variants and the phenotypic spectrum associated with GEMIN5 disorders is increasing as the knowledge of the protein functions and the pathways linked to its activity augments. Here we discuss relevant advances concerning the functional and structural features of GEMIN5 and its separate domains in RNA-binding, protein interactome, and translation regulation, and how these data can help to understand the involvement of protein malfunction in clinical variants found in patients developing neurodevelopmental disorders.

From Intent to Inaction: Factors Conditioning Cultural Institutions From Embracing Crowdfunding as a Fundraising Tool

Purpose: The article explores factors explaining cultural institutions’ intentions to adopt and circumstances that lead to inaction in terms of launching a crowdfunding campaign. Study Design: The study is a single-case study of a Norwegian museum consortium. It combines thematic analysis of qualitative data from interviews and non-parametric tests of quantitative survey data to examine differences between four categories of employees: leadership, curators, technical staff, and support staff. Findings: The study identifies three key factors contributing to the inaction and failure to launch the crowdfunding campaign: (1) the added value of funding and non-monetary benefits; (2) legitimacy concerns surrounding crowdfunding; and (3) the leadership and management of implementing what proved to be a non-routine activity. Contributions: The paper provides insights into the drivers and barriers that influence the intention to use institutional cultural crowdfunding. It adds to the literature by demonstrating that cultural institutions’ internal organisational dynamics influence decision-making. The derived propositions provide a basis for further empirical research into how cultural institutions approach crowdfunding. Implications: The findings hold practical implications for cultural institutions, policymakers, and scholars. They underscore the importance of leadership in navigating legitimacy concerns, fostering intra-organisational collaboration, and supporting institutional cultural crowdfunding efforts from intent to action.

The main sources of molecular organization in the cell. Atlas of self-organized and self-regulated dynamic biostructures.

One of the most important goals of contemporary biology is to understand the principles of the molecular order underlying the complex dynamic architecture of cells. Here, we present an overview of the main driving forces involved in the cellular molecular complexity and in the emergent functional dynamic structures, spanning from the most basic molecular organization levels to the complex emergent integrative systemic behaviors. First, we address the molecular information processing which is essential in many complex fundamental mechanisms such as the epigenetic memory, alternative splicing, regulation of transcriptional system, and the adequate self-regulatory adaptation to the extracellular environment. Next, we approach the biochemical self-organization, which is central to understand the emergency of metabolic rhythms, circadian oscillations, and spatial traveling waves. Such a complex behavior is also fundamental to understand the temporal compartmentalization of the cellular metabolism and the dynamic regulation of many physiological activities. Numerous examples of biochemical self-organization are considered here, which show that practically all the main physiological processes in the cell exhibit this type of dynamic molecular organization. Finally, we focus on the biochemical self-assembly which, at a primary level of organization, is a basic but important mechanism for the order in the cell allowing biomolecules in a disorganized state to form complex aggregates necessary for a plethora of essential structures and physiological functions. In total, more than 500 references have been compiled in this review. Due to these main sources of order, systemic functional structures emerge in the cell, driving the metabolic functionality towards the biological complexity.

Enhancer Dynamics and Spatial Organization Drive Anatomically Restricted Cellular States in the Human Spinal Cord.

Here, we report the spatial organization of RNA transcription and associated enhancer dynamics in the human spinal cord at single-cell and single-molecule resolution. We expand traditional multiomic measurements to reveal epigenetically poised and bivalent active transcriptional enhancer states that define cell type specification. Simultaneous detection of chromatin accessibility and histone modifications in spinal cord nuclei reveals previously unobserved cell-type specific cryptic enhancer activity, in which transcriptional activation is uncoupled from chromatin accessibility. Such cryptic enhancers define both stable cell type identity and transitions between cells undergoing differentiation. We also define glial cell gene regulatory networks that reorganize along the rostrocaudal axis, revealing anatomical differences in gene regulation. Finally, we identify the spatial organization of cells into distinct cellular organizations and address the functional significance of this observation in the context of paracrine signaling. We conclude that cellular diversity is best captured through the lens of enhancer state and intercellular interactions that drive transitions in cellular state. This study provides fundamental insights into the cellular organization of the healthy human spinal cord.

Exploring Challenges and Solutions in the Digital Transformation of Supply Chain Finance for Commercial Banks

The advent of digital technologies has made supply chain finance a focal point for commercial banks seeking to boost operational efficiency and strengthen market competitiveness. Nonetheless, the journey toward digital transformation in this sector is fraught with challenges spanning technological limitations, organizational barriers, and regulatory constraints. This study delves into the key obstacles faced by commercial banks in digitizing supply chain finance and offers targeted solutions. Through a comprehensive analysis of the digital transformation landscape, this research identifies prevalent issues and addresses the interconnected challenges across technology, organi-zational culture, and regulatory frameworks. Proposed strategies include fostering innovation in technology, reshaping organizational dynamics, and aligning with evolving regulatory policies. The findings offer actionable insights and theoretical guidance for commercial banks navigating their digital transformation journey in supply chain finance, contributing to the broader advancement of digitalization within the financial sector.