Technology Sector Research Articles

Research on the Applicability and Extensions of the Fama-French Three-Factor Model Evidence from Tech Market ETF

In this paper, the Nasdaq 100 Index (ETF) is selected as a representative of the technology sector, and the dominant factors affecting the performance of stock returns in the technology market are explored through data processing and regressions of its monthly returns from 2014 to 2023.In this study, the Nasdaq 100 Index (ETF) is used as a proxy for the technology sector. The study investigates the dominant factors affecting the performance of the technology market stock returns. This study adds 10 extended factors to the Fama-French three-factor model,with the aim of finding the variables which strongly impact on NDX returns. Each factor was tested and screened through multiple time series regression, multiple covariance analysis, and stepwise regression. Finally, the Fama-French two-factor extended model with the largest R-squared value and the strongest explanatory power for NDX returns was constructed. Its independent variables include market returns and premiums, SMB, HML, interest rate changes, and industrial production index changes. Compared to the original Fama-French three-factor model (R-squared 0.871), the reconstructed Fama two-factor extended model has a better fitting which has an R-squared of 0.885, which illustrates the effect of the newly added factors on the technology market stock portfolio and provides an empirical evidence on that the new model is an improvement for the technology market stock portfolio.

Reshaping the Irish Economy: The Impact of International Mergers and Acquisitions on the Irish Technology Sector (2021-2023)

Purpose: This dissertation examines the impact of international mergers and acquisitions (M&A) on the Irish technology sector between 2021 and 2023. It aims to assess how M&A activities have reshaped corporate strategies, influenced organizational culture, and contributed to the broader economic landscape, while identifying challenges and opportunities for involved firms. Methodology: A mixed-methods approach was employed, integrating quantitative survey data from technology sector professionals and qualitative insights from structured interviews with senior executives of companies engaged in M&A. The survey captured organizational perspectives on strategic realignment, cultural integration, employee morale, and economic implications. The interviews offered deeper context on leadership decisions, cultural adaptation, and strategic shifts post-acquisition. Findings: The research reveals that successful post-M&A outcomes were strongly linked to strategic realignment toward global expansion, product innovation, and operational efficiency. Firms leveraging M&A synergies experienced improved market positioning, faster innovation cycles, and streamlined operations. However, challenges such as cultural integration and maintaining employee morale were significant hurdles. Ireland's regulatory environment emerged as a facilitator, ensuring smooth transitions and compliance, although increased global competition posed both challenges and growth opportunities for local firms. Unique Contribution to Theory, Policy, and Practice: This study advances academic discourse by highlighting the interplay between strategic realignment, cultural integration, and regulatory frameworks in post-M&A success. It provides actionable recommendations for technology firms to optimize integration strategies and for policymakers to maintain a supportive yet competitive regulatory environment. The findings also lay the groundwork for future longitudinal studies and cross-industry comparisons to deepen understanding of M&A dynamics.

Knowledge Management and Employee Performance in the Information Technology Sector

Background: Knowledge management involves the identification, gathering, and organization of both explicit knowledge, such as documents and procedures, and tacit knowledge, including the skills and experience of individuals within an organization. Information technology is a knowledge-intensive industry, so knowledge management is crucial for employee performance. Objectives: The objective of this study is to examine the status of knowledge management practices within the IT sector, specifically knowledge creation, sharing, retention, and actionable knowledge support, and their influence on employee performance. Methods: This adopts a descriptive and explanatory research design. Purposively, it considered 310 employees working in IT companies in Nepal; 303 responses were considered for analysis. A questionnaire survey measured knowledge management with 27 items and employee (task) performance with six items. The study adopted PLS-SEM to analyze the data. Results: This study found that actionable knowledge support, knowledge sharing, and knowledge retention emerged as the primary influencers of employee performance within the IT sector. Specifically, active involvement in knowledge-sharing and retention contributes to employee performance. Among the factors, actionable knowledge support is vital for employee performance. However, a relationship between knowledge creation and performance was not found. Conclusion: This study helps improve our understanding of IT knowledge management dynamics in developing countries like Nepal, based on knowledge creation, sharing, retention, and actionable knowledge support. Future research on knowledge dynamics and performance may build on these findings. The knowledge-intensive nature of the IT sector affects employee performance. These findings could lay the groundwork for future research on knowledge dynamics and performance in this industry.

Advancing Information Governance in AI-Driven Cloud Ecosystem: Strategies for Enhancing Data Security and Meeting Regulatory Compliance

This study explores adaptive information governance models to address critical challenges in AI-driven cloud environments, focusing on enhancing data security and achieving regulatory compliance. Existing frameworks often fail to account for the complexities introduced by AI and cloud integration, leaving significant gaps in incident response, privacy protection, and governance practices. To bridge these gaps, this research evaluates governance components—Privacy-Enhancing Technologies (PETs), ethical oversight, and incident response metrics—through advanced quantitative methods, including Structural Equation Modeling (SEM), Cox Proportional Hazards Modeling, and Difference-in-Differences (DiD) analysis. Key findings highlight the significant influence of incident response metrics (β = 0.51, p < 0.001) and PET integration (β = 0.25, p = 0.001) on governance effectiveness, with model fit indices (RMSEA = 0.04, CFI = 0.96) confirming the robustness of the proposed framework. Industry-specific vulnerabilities were identified, with retail and technology sectors experiencing a 25% increased risk of incidents due to minimal security controls. The adoption of PETs, such as federated learning and homomorphic encryption, significantly improved privacy compliance and data utility, particularly in high-risk sectors. The study recommends the integration of advanced security controls and PETs to mitigate risks and improve compliance, especially in vulnerable industries like retail and technology. It also emphasizes the continuous optimization of AI-driven incident response protocols to reduce the impact of emerging threats. Furthermore, ethical oversight should be prioritized to ensure fairness, accountability, and public trust in AI applications within cloud ecosystems. These actionable strategies provide a roadmap for organizations to achieve secure and ethically governed cloud environments.

COLOR VISUALIZATION OF 3D-MODELS FOR ENHANCED PREPARATION OF ADDITIVE MANUFACTURING PROCESSES

The main aspects of color visualization of triangulated models of industrial products are presented. The implementation of visualization capabilities is based on RGB and HSV color models. The structure and key features of the software implementation of color visualization and the export of the displayed image in PLY, and AMF formats are discussed. Methods for transformations between RGB and HSV color models are described, as well as an algorithm for coloring the triangular faces of the model based on specified color ranges. The developed algorithms allow for a sufficiently informative representation of the desired areas of the product's surfaces by significantly altering one color component while minimally changing the other two. This is achieved by directing the assignment of functional dependencies and value ranges for each component of the color model. Examples of various methods for color shading of vertices and/or edges and/or faces of the model are provided. The visualization subsystem enables the analysis of the geometric characteristics of the polygonal model during the preparation phase of additive manufacturing processes. Significant advantages of these approaches to color visualization are evident when adapting the product design to technological requirements (design preparation) and when solving optimization tasks in technological preparation. The developed software is integrated into the technological preparation system for manufacturing enterprises in the machine engineering sector. This research was developed at the Department of "Integrated Technologies of Mechanical Engineering" named after M. Semko of NTU "KhPI".

Investment Research on Individual Stocks in Large Research Industry Enterprises

As technology continues to develop, the influence of the technology industry on the market cannot be ignored. This study aims to explore the trends and fluctuations of key representative technology stocks, specifically focusing on Advanced Micro Devices (AMD), Oracle Corporation (ORCL), and Qualcomm Incorporated (QCOM). By meticulously analyzing the publicly available balance sheets and income statements of these companies, we will extract pertinent financial indices and conduct a comprehensive financial analysis. The analysis will include key financial metrics such as revenue growth, profit margins, return on equity (ROE), and debt-to-equity ratios, among others. These metrics will be used to evaluate the financial health and performance trends of each company over a specified period. Additionally, we will compare these metrics across the three companies to provide insights into their relative market positions and competitive advantages. The objective of this analysis is to furnish investors with a reliable and data-driven market analysis that can inform their investment decisions. By understanding the financial underpinnings of these technology giants, investors can better assess the potential risks and returns associated with investing in these stocks. This study aims to bridge the gap between financial theory and practical investment strategies, offering a valuable resource for both individual and institutional investors interested in the technology sector.

Enhanced spray-wall interaction model for port fuel injection under medium load conditions

Abstract This study presents an Eulerian-Lagrangian framework for the numerical analysis of spray dynamics, with a focus on droplet movement, spray-wall interactions, and the effects of varying injection parameters associated with port fuel injection (PFI) system. A grid-independent criterion is introduced to optimize mesh analysis for accurate predictions of fuel penetration length. The size distribution of secondary droplets is described using a probability density function, and statistical optimization is subsequently implemented to estimate their mean size. This probabilistic approach enhances the Lagrangian wall film (LWF) model, leading to accurate predictions of the Sauter mean diameter (SMD) at a given radial width ( $$R_\text{{w}}$$ R w ), with results closely matching experimental data. For $$8.0 ~\text {mm} \le R_\text{{w}} \le 24.0 ~\text {mm}$$ 8.0 mm ≤ R w ≤ 24.0 mm , the maximum SMD of 21.67 $$\mu$$ μ m corresponds to $$R_\text{{w}} = 14.0, \text {mm}$$ R w = 14.0 , mm , while the smallest SMD of 12.68 $$\mu$$ μ m is computed for a radial position of $$R_\text{{w}} = 24.0 ~\text {mm}$$ R w = 24.0 mm . The numerical investigation quantifies the role of spray-wall interactions in determining the trajectory of fuel distribution, particularly in the formation of wall films and the relative spatio-temporal diesel concentration (F/A) %. The study explores aspects such as droplet size variations, heat transfer during evaporation, and film behavior under different injection pressures, providing insights into the multiphysical characteristics of spray-wall systems. Near the impingement site ( $$2.0 ~\text {mm} \le R_\text{{w}} \le 4.0 ~\text {mm}$$ 2.0 mm ≤ R w ≤ 4.0 mm ), the plume height ( $$H_\text{{w}}$$ H w ) slightly decreases with an increase in injection pressure. While the CFD methodology in this current work has been primarily developed for automotive engineering sector (PFI engines), it also has potential applications in areas such as additive manufacturing, hydropower engineering, climate science, and environmental engineering.

Hyper-personalized employment in urban hubs: multimodal fusion architectures for personality-based job matching

AbstractIn the evolving landscape of smart cities, employment strategies have been steering towards a more personalized approach, aiming to enhance job satisfaction and boost economic efficiency. This paper explores an advanced solution by integrating multimodal deep learning to create a hyper-personalized job matching system based on individual personality traits. We employed the First Impressions V2 dataset, a comprehensive collection encompassing various data modalities suitable for extracting personality insights. Among various architectures tested, the fusion of XceptionResNet with BERT emerged as the most promising, delivering unparalleled results. The combined model achieved an accuracy of 92.12%, an R2 score of 54.49%, a mean squared error of 0.0098, and a root mean squared error of 0.0992. These empirical findings demonstrate the effectiveness of the XceptionResNet + BERT in mapping personality traits, paving the way for an innovative, and efficient approach to job matching in urban environments. This work has the potential to revolutionize recruitment strategies in smart cities, ensuring placements that are not only skill-aligned but also personality-congruent, optimizing both individual satisfaction and organizational productivity. A set of theoretical case studies in technology, banking, healthcare, and retail sectors within smart cities illustrate how the model could optimize both individual satisfaction and organizational productivity.

What we do not see, does exist: exploring the realities of work engagement in virtual teams

Purpose The purpose of this study is to shed light on the job resources and demands of employees working in virtual teams and the impact of these job factors on their work engagement levels. Specifically, the authors focus on identifying the differing significance of employee job resources and demands on their virtual work engagement levels. Design/methodology/approach A qualitative approach grounded on abductive analysis is used to arrive at the findings. The methods for data collection include participant observation and semistructured interviews of 27 software engineers in the Indian information technology sector, working with virtual teams. Findings The authors identified the virtual-work-induced job demands and resources. Primarily, the authors found 14 job factors related to high and low levels of individual virtual work engagement, and classified them under eight aggregate dimensions: psychosocial hurdles, collaboration challenges, leadership and operational issues, dehumanization under job demands, supportive leadership, personal resources, alternate sources of income and learning goal orientation under job resources. Consequently, the authors built an importance–frequency work engagement map based on how these job factors are related to low and high levels of work engagement. Research limitations/implications This study’s qualitative nature limits the generalizability of the findings. Hence, further studies are encouraged to corroborate the findings. There is also a possibility of the social desirability bias that could have affected the results as participants may have perceived an element of risk in sharing all their honest feelings and perceptions. This may have especially been the case for those with higher status or positions in the company. Practical implications The findings suggest practical measures either to engage employees in their free time or to improve loyalty. There is a clear potential for the organization and virtual leader to communicate effectively about the expected goals, arrange informal interactions and reduce scrutiny of monitoring, thereby increasing the remote workers’ resources. Originality/value The originality of this study comes from multiple factors. First, the authors highlight ta contextual adaptation of the job demands-resources (JD-R) model into a virtual team context. By extension, the authors examine “how much” does both the job resources and demands contribute to the wellbeing of the employees working in virtual teams. Second, the authors construct an importance–frequency work engagement map (specifically for the virtual work context) based on the findings, which categorizes the observed resources and demands into four quadrants. The authors propose that this map could be a possible extension to the JD-R model, highlighting the differing significance of each resource and demand to employee work engagement.

FinTech Implementation Challenges in the Palestinian Banking Sector

This study addresses FinTech implementation challenges in the banking industry in Palestine. This was accomplished by adopting qualitative research methods. Semi-structured interviews were conducted with interviewees from the Palestinian Monetary Authority, banks, and FinTech companies. Thematic analysis was conducted using NVivo 12 software to identify themes in the interview scripts. Research outcomes suggest that FinTech development in Palestine encounters a range of multifaceted challenges, which can be categorised using the TOE (technological, organisational, environmental) framework. On the technological front, issues such as underdeveloped IT and telecommunications infrastructure, restricted mobile frequencies due to Israeli occupation, limited IT expertise, cyber risks, low digital literacy, and minimal FinTech awareness hinder progress. Organizationally, resistance to change, inadequate agility, limited digital skills, and slow Sharia compliance updates in Islamic banking impede innovation. Environmentally, the absence of a dedicated FinTech framework, unclear regulatory guidance, limited market size, and strict AML/CFT regulations create uncertainties for non-bank entities and restrict investment opportunities. Addressing these interconnected barriers requires coordinated efforts across legal, financial, and technological sectors to foster FinTech integration and growth in Palestine.

A Review of Different Synthesis Approaches to Nanoparticles: Bibliometric Profile

Nanomaterials are currently one of the most popular emerging materials used in different applications such as drug delivery, water treatment, cancer treatment, electronic, food preservations, and production of pesticide. This is due to their interesting features including size-dependent properties, lightweight, biocompatibility, amphiphilicity and biodegradability. They offer wide possibilities for modification and are used in multiple functions with enormous possibilities. Some of them are medically suitable which has opened new opportunities for medical improvement especially for human health. These characteristics also make nanomaterials one of the pioneers in green materials for various needs, especially in environmental engineering and energy sectors. In this review, several synthesis approaches for nanoparticles mainly physical, chemical, and biological have been discussed extensively. Furthermore, bibliometric analysis on the synthesis of nanoparticles was evaluated. About 117,162 publications were considered, of which 92% are journal publications. RSC Advances is the most published outlet on the synthesis of nanoparticles and China has the highest number of researchers engaged in the synthesis of nanoparticles. It was noted in the evaluation of synthesis approach that biological approach is the savest method but with a low yield, while the chemical approach offers a high yield with some level of hazardous effect. Also, the bibliometric analysis revealed that the field of nanotechnology is a trending and hot ground for research.

Pengaruh CSR dan GCG terhadap Kinerja Keuangan Perusahaan dengan Manajemen Laba sebagai Variabel Mediasi

This study aims to examine the effect of Corporate Social Responsibility and Good Corporate Governance on the financial performance of technology sector companies listed on the IDX with earnings management as a mediating variable in the 2019-2022 period. The type of research used is a quantitative approach. The number of samples in this study were 13 companies with 4 years of observation period selected using purposive sampling method. The analysis and hypothesis testing used is PLS-SEM using SmartPLS software. The results showed that CSR and GCG variables were able to influence financial performance and earnings management. Earnings management variables cannot affect the company's financial performance. Earnings management cannotmediate the relationship between CSR and GCG on financial performance. The conclusion of this study is that bothCSR and GCG play an important role in improving the company's financial performance. Companies committed tosocial responsibility and good governance mechanisms tend to be financially healthier. On the other hand,earnings management practices are often practiced but do not have a significant impact on financial performance.

Determination of the Ultimate Bearing Capacity of a Single Barrette Wall using FEA and Cubic Nonlinear Regression

This study analyzes the mechanical behavior of barrette walls under various load levels, a critical issue in the design and construction of structures subjected to large loads. The primary objective of the research is to determine the nonlinear relationship between load and settlement of barrette walls, as well as to assess the maximum load-bearing capacity of the walls under diverse loading conditions. The finite element analysis method was employed to simulate the detailed interaction between the barrette wall and the soil, combined with cubic and linear regression analysis techniques to establish the model of the relationship between load and settlement displacement. The research results reveal a nonlinear relationship between load and settlement of the wall, with an inflection point occurring at a load level of approximately 12,000 kN, where the change in settlement becomes more pronounced. The cubic regression equation achieved a coefficient of determination R² = 0.999, demonstrating the high accuracy of the model. The maximum load-bearing capacity of the barrette wall was determined to be 15,745.59 kN, providing a clear scientific basis for evaluating the load-bearing capacity of structures. The conclusions from this study affirm the importance of using finite element simulations in soil mechanics analysis and the design of structures subjected to large loads. The achieved results not only enhance understanding of the behavior of Barrette walls but also contribute to the development of new technical solutions and design methods, with the potential for wide application in the construction and geotechnical engineering sectors.

Leading with Courage and Integrity in Complex Times

Abstract: In an era of heightened complexity and volatility, the need for courageous and principled leadership has never been more pressing. This article explores the essential qualities of courage and integrity, and the strategies leaders can employ to cultivate these attributes within their organizations. Grounded in empirical research from the fields of positive psychology, organizational behavior, and leadership studies, the brief outlines practical approaches for fostering psychological safety, embracing vulnerability, prioritizing continuous learning, and making ethical decisions. Through industry examples from the pharmaceutical, financial services, and technology sectors, the brief demonstrates how leaders who embody courage and integrity are better equipped to navigate complex challenges, inspire their teams, and position their organizations for long-term success. By implementing the research-backed strategies presented here, leaders can empower their organizations to thrive in an ever-changing business environment.

BIMReason: Validating BIM model correctness

AbstractCompliance inspections and building analysis are critical to the success of any construction project. At present, such assessments are primarily conducted manually by experts in the architecture, engineering and construction (AEC) sector resulting in a tedious, labor‐intensive, and generally inefficient undertaking. Yet, with the gradual adoption of Building Information Modeling (BIM), automated building analysis and compliance checking become feasible. The Industry Foundation Classes (IFC) has received a lot of traction in the AEC industry as a vendor‐neutral data model. Its well‐defined semantics can be exploited by reasoning engines that allow for semantic reasoning on building models, the core mechanism required for automated compliance checking and building analysis. In this paper, a general‐purpose model checking framework for IFC building models, as well as an appropriate specification layout are introduced. Model checking via semantic reasoning is realized using various technologies from the Semantic Web. To present and evaluate our implementation, a sample specification is developed and tested on two IFC building models.

A unified strain energy-based fatigue life prediction methodology for composite and metal adhesive joints: Effects of adhesive, geometry and, environment

Ensuring the efficiency and safety of bonded structures across diverse engineering sectors requires a robust fatigue model for adhesive joints in both composite and metal substrates. This study presents a unified fatigue life prediction methodology for similar and dissimilar composite and metal adhesive joints. The proposed model integrates hydrostatic and deviatoric strain energy density components with the theory of critical distances. The model has been validated against diverse experimental data from different joint geometries, loading conditions, and different environments. The linear-elastic assumption is sufficient for toughened epoxies, whereas an elastoplastic model is necessary for ductile methacrylate adhesives. Calibration based on a single fatigue test yields the highest accuracy, while quasi-static test calibration is also satisfactory. The methodology addresses diverse loading conditions and environmental factors, showing a strong correlation with experimental results. It advances the performance, design, and reliability of similar and dissimilar composite to metal adhesive joints.

Copyright Dispute Resolution in the Technology Industry: Case Study of PT Application Karya Anak Bangsa and Nadiem Makarim

Copyright violations in the digital technology industry in Indonesia have a significant impact on the development of innovation and company growth. Law no. 28 of 2014 concerning Copyright functions as a legal framework to protect copyrighted works in the technology sector, but copyright lawsuits often pose challenges for companies, especially startups, in innovating. Excessive or misused lawsuits can create barriers to competition and slow the pace of technological innovation. On the other hand, copyright protection remains important to maintain justice for technology creators. Dispute resolution through litigation and non-litigation channels, including mediation and arbitration, provides alternatives for the parties involved. The litigation route, although offering legal certainty, is often considered slow and expensive. In contrast, non-litigation settlement is more flexible, fast and economical. Both of these mechanisms are regulated by applicable law in Indonesia and allow parties to choose the resolution that best suits their needs. It is important for technology companies to consider effective dispute resolution strategies so that innovation can continue to develop without excessive obstacles.

Navigating Industry 4.0: Exploring the Impact of AI on Employment & Jobs in India

The advent of Industry 4.0, characterized by the integration of cutting-edge technologies, has ushered in a transformative era for global economies. In India, a nation renowned for its diverse labor force and burgeoning technology sector, the rapid proliferation of Artificial Intelligence (AI) technologies is reshaping the employment landscape. This research paper aims to comprehensively investigate the multifaceted impact of AI on employment and jobs in India. Through a meticulous analysis of existing literature, this study ascertains the current state of AI adoption in Indian industries and identifies the sectors most vulnerable to AI-induced disruptions. It also scrutinizes the various dimensions of AI's influence on employment, including the creation of new job categories, augmentation of existing roles, and potential job displacement. Furthermore, the study delves into the factors influencing the pace and scale of AI adoption, such as regulatory frameworks, infrastructure, and educational preparedness. To provide a holistic perspective, secondary data encompassing a diverse range of industries and geographical regions within India has been reviewed. This empirical research facilitates an in-depth understanding of the attitudes, challenges, and opportunities employers and employees encounter amidst the AI revolution. In addition, this research evaluates the role of government policies and initiatives in mitigating the negative consequences of AI disruption, including workforce upskilling and reskilling programs. Furthermore, it explores the potential for AI to drive economic growth and job creation through innovation and productivity gains. The findings of this study contribute to a nuanced comprehension of the AI-driven transformation of India's job market, offering insights that are invaluable to policymakers, business leaders, educators, and workers alike. Ultimately, this research seeks to guide India's journey through Industry 4.0 by elucidating the strategies needed to harness AI's potential as a force for economic progress while addressing the challenges it poses to employment stability and societal well-being. Keywords Industry 4.0, Artificial Intelligence (AI), Job displacement, Educational preparedness, AI revolution, Workforce upskilling, Reskilling Programs, Economic Growth, Job Creation, Innovation, Productivity Gains, AI-Driven Transformation, Economic Progress, Employment Stability, Societal Well-Being.

Strategi Inovasi Produk Keuangan Syariah untuk Meningkatkan Inklusi Finansial

This study aims to analyze strategies for product innovation in Islamic finance to enhance financial inclusion, a significant challenge in countries with large Muslim populations such as Indonesia. The research employs a qualitative approach, utilizing data from various literature sources, including academic journal articles, reports from Islamic financial institutions, and government regulations. The findings reveal that Islamic financial product innovation can be categorized into new product development, digital technology adoption, improvement of Islamic financial literacy, and cross-sectoral collaboration. Products such as microfinance based on Sharia contracts, digital waqf savings, and technology-driven Takaful insurance exemplify innovations aligned with modern societal needs. Additionally, Islamic fintech platforms have expanded financial access for remote communities, despite challenges such as low digital literacy and limited infrastructure. Islamic financial literacy emerges as a crucial element influencing public trust and participation in formal financial systems. In practice, cross-sector collaboration among Islamic financial institutions, governments, and the technology sector serves as a strategic approach to address regulatory barriers, competition with conventional sectors, and inconsistent global standards. This study recommends strengthening regulations, enhancing financial literacy, developing inclusive digital technologies, and fostering international cooperation to support the sustainable growth of the Islamic finance sector. With integrated strategies, Islamic finance holds significant potential not only to improve financial inclusion but also to create a fairer, more inclusive financial system that aligns with Islamic values in the modern era.

The Role of Zakat and Waqf in the Economic Empowerment of the People in the Digital Era

Zakat and waqf have an important role in strengthening the ummah's economy and building community welfare. In the digital era, this role is increasingly strategic with the existence of various innovations and digital platforms that facilitate the collection, management, and distribution of zakat and waqf. This research aims to analyze the role of zakat and waqf in empowering the people's economy in Indonesia, especially through the use of digital technology. This research method uses a qualitative approach with data collection techniques in the form of literature studies and secondary data analysis related to zakat and waqf digital platforms in Indonesia. The results show that digital technology enables more efficient, transparent, and accountable distribution of zakat and waqf, as well as expanding the reach of beneficiaries. In addition, digitalization also helps increase public awareness of the importance of zakat and waqf in strengthening the economic independence of the ummah. The use of applications and websites in the collection of zakat and waqf funds shows an increase in community participation, especially the younger generation, in supporting social activities and economic empowerment. The conclusion of this study emphasizes the importance of collaboration between zakat and waqf management institutions, the government, and the technology sector to encourage the development of digital platforms that can increase the effectiveness and impact of zakat and waqf in empowering the people's economy.