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    264 research outputs found

    The Role of HR Analytics in Strategic Decision Making: Leveraging Data for Talent Management

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    The study examines how HR analytics may revolutionize talent management and strategic decision-making. This study delves into the acceptance of advanced analytics techniques in HR, the obstacles encountered during implementation, and the emerging trends that will shape the industry through an extensive literature review and analysis of case studies. Important conclusions draw attention to better decision-making procedures, improved talent management techniques, and policy ramifications, such as the necessity of extensive data privacy laws and funding for the professional development of HR personnel. The study highlights HR analytics’ importance in achieving competitive advantage and organizational success in the digital age

    AI-Optimized Customer Segmentation for Targeted Cryptocurrency Marketing

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    This study examines how AI-optimized consumer segmentation may enhance well-focused Bitcoin marketing campaigns. The primary goals are to investigate the theoretical underpinnings, conduct empirical evaluations, and offer valuable recommendations for cryptocurrency marketers. Methodologically, a thorough literature research is carried out, and then actual data from the real world is used for empirical analysis. Important discoveries show that AI-driven segmentation promotes user engagement, increases marketing efficacy, and supports long-term growth in the Bitcoin ecosystem. However, restrictions like algorithmic bias and data privacy issues demand policy changes. To solve these issues, it is advised to implement ethical standards, industry collaboration, educational initiatives, and regulatory guidelines. This study demonstrates how AI-optimized segmentation may revolutionize targeted cryptocurrency marketing by promoting user loyalty, meaningful interaction, and sustainable growth

    Big Data Analytics for Business Management: Driving Innovation and Competitive Advantage

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    The study aims to investigate how Big Data Analytics may revolutionize modern business management by fostering innovation and providing a competitive edge. The study looks at the adoption rates, strategic implementation, and effects of Big Data Analytics on organizational performance indicators like revenue growth, customer acquisition, retention, and market share. It thoroughly evaluates the literature and case studies and analyzes future trends. The results highlight how businesses use BI tools, data visualization strategies, and advanced analytics capabilities to boost operational effectiveness and spur revenue growth. These developments highlight the growing use and strategic significance of big data analytics. However, to guarantee the appropriate and fair implementation of Big Data Analytics in company management practices, issues like data privacy and security concerns call for solid data governance frameworks and governmental interventions. The report offers insightful information and policy recommendations for businesses looking to use data-driven tactics to confidently and nimbly negotiate the challenges of the modern digital economy

    Financial Engineering and AI: Developing Predictive Models for Market Volatility

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    This paper examines financial engineering\u27s use of AI to anticipate market volatility. To determine their efficacy, machine learning and deep learning are compared to ARCH and GARCH models. The study reviews secondary data and empirical experiments to assess AI-based model performance, strengths, and weaknesses. AI approaches outperform conventional methods in complex and turbulent markets because of their improved forecasting accuracy, adaptability, and capacity to capture non-linear market dynamics. AI models\u27 interpretability, processing costs, and dependence on massive datasets restrict their acceptance. Policy implications underline the need for transparent, accountable, and ethical AI regulation in financial markets. The research also shows hybrid models that mix conventional and AI methods may improve volatility predictions while resolving interpretability issues. Overall, AI in financial modeling improves knowledge of market volatility and management

    Analyzing Trends in Key Financial Indicators: A Case Study on ORION Pharma Limited

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    This descriptive research study aims to examine the performance trends of ORION Pharma Limited within the context of its operations in Bangladesh. The study is based on secondary data extracted from annual reports spanning from FY 2018-19 to 2022-23 of the chosen company. It employs trend percentage analysis on key financial metrics derived from these reports. Firstly, the analysis focuses on fluctuations in key financial indicators of the statement of profit or loss, such as net sales revenue, gross profit, operating profit, pre-tax profit, and post-tax profit. Despite facing challenges, the company has shown resilience and adaptability, showcasing noticeable recoveries and improvements during different periods. These changes reflect ORION Pharma\u27s responsiveness to market conditions and efforts to manage expenses efficiently. The analysis suggests opportunities for strategic expansions and profit enhancements despite occasional setbacks. Secondly, examining the trend percentage of key metrics of the statement of financial position for ORION Pharma, the study shows consistent growth in total assets, driven by expansions in both current and non-current assets. Though liabilities increased notably, total equity showed positive growth, indicating effective management and sustained profitability. In summary, ORION Pharma demonstrates strong financial performance and strategic planning, positioning it for continued growth and profitability

    The Role of Cybersecurity in Safeguarding Cross-Border E-Commerce and Economic Growth

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    This research examines how cybersecurity protects cross-border e-commerce and boosts economic development. With digital commerce growing rapidly, the study examines how strong cybersecurity standards affect customer trust, corporate resilience, and international trade. The research analyzes cybersecurity issues, new technologies, and their economic effects on cross-border e-commerce using secondary data from peer-reviewed journals, industry reports, and regulatory papers. Secure digital platforms are crucial to customer trust, and strong cybersecurity policies may limit financial risks, facilitate corporate innovation, and help SMEs in global marketplaces. Artificial intelligence, blockchain, and sophisticated encryption improve cybersecurity and secure e-commerce platforms. The report also highlights legislative fragmentation and the need for international collaboration to standardize cybersecurity standards. Governments must create collaborative frameworks, encourage firms to embrace cutting-edge security solutions and promote digital literacy to raise consumer awareness. Businesses and governments can build a safe digital trade environment that boosts economic development, minimizes risks, and opens new global commerce possibilities by closing cybersecurity gaps

    Adapting Businesses to the 6G Security Paradigm: Insights from Commerce 5.0

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    Within the context of Commerce 5.0, this study examines organizations\u27 potential and difficulties when adjusting to the 6G security paradigm. The primary goals are to look into how 6G technology is developing, assess cybersecurity opportunities and problems, pinpoint strategic imperatives for business adaptation, investigate using Commerce 5.0 to gain a competitive edge, and look at upcoming trends and things business leaders should know. The approach used is a thorough analysis of the knowledge and insights from Commerce 5.0. Key findings point to the revolutionary potential of 6G technology for enterprises, new cybersecurity requirements, and strategic imperatives. The report emphasizes the significance of valuing ethics and cybersecurity readiness and embracing hyperconnectivity, customization, and innovation. The consequences of policy point to the need for infrastructure spending, cybersecurity best practices promotion, encouragement of innovation and teamwork, and the creation of regulatory frameworks for new technology. This study offers insightful information to industry stakeholders, legislators, and corporate executives trying to make sense of the intricacies of the 6G security paradigm while promoting innovation and expansion in the digital economy

    IoT Security in the Banking Sector: Mitigating the Vulnerabilities of Connected Devices and Smart ATMs

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    This paper examines banking IoT and innovative ATM security issues and solutions. IoT technologies improve operational efficiency and consumer interaction but can increase cyberattacks, physical tampering, and data breaches in financial systems. The research aims to identify vulnerabilities, review security measures, and provide ways to minimize banking sector-connected device hazards. The research synthesizes peer-reviewed publications, industry reports, and regulatory directives using secondary sources. The main results show that missing security standards, obsolete legacy systems, and human factors are key risks, whereas AI, ML, blockchain, and biometrics may improve Security. Physical Security and data protection rules are also stressed in the research. Policy implications include uniform security frameworks, better regulatory supervision, and ongoing security assessments. To combat increasing threats, financial institutions must work with technology suppliers and governments to create comprehensive security standards and incorporate new technologies. In conclusion, IoT adoption in banking offers excellent prospects, but strong security measures are needed to secure sensitive financial systems and retain client confidence in an increasingly linked world

    Emergence of FinTech Ecosystem: A Case Study of \u27bKash\u27 in Bangladesh

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    The cutting-edge economy has a lot of new wheels that turn the fortune of contemporary times. Monetary innovation is no question one of those. The new credit-only economy depends on these computerized monetary administrations. As of late, financial organizations, particularly banks, have become more subject to these howdy tech administrations. For the review, the information has been gathered by poll overview utilizing the positioned technique for examination utilizing SPSS, in which IT-related individuals have been studied. The study explains the characteristics and features of FinTech ecosystems emerging in Bangladesh. The "bKash" in Bangladesh is particularly appropriate for our research as it seeks to become a world-class Fintech hub for innovation by capitalizing on the opportunities brought by global technological trends. The study uses the CAS process model for analyzing biological systems, difficulties, and possibilities of fintech, especially bKash in Bangladesh. The results show that bKash has a promising future can significantly uplift Bangladesh\u27s economy

    Elevating Bangladesh: Exploring Tourism Marketing Strategies for Growth

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    Bangladesh, with its pristine natural landscapes, rich historical heritage, and abundant archaeological treasures, presents an enticing prospect for tourism development. The tourism industry holds immense potential for driving economic growth, bolstering the nation\u27s Gross Domestic Product (GDP), and generating foreign currency earnings. As countries worldwide vie for a share of the tourism market, effective marketing strategies become imperative for attracting visitors and maximizing revenues. This study investigates the current landscape of tourism marketing in Bangladesh, aiming to identify opportunities, challenges, and strategic interventions for sustainable growth. Through a comprehensive analysis of existing literature and empirical data, this research sheds light on the pivotal role of promotional activities in enhancing the competitiveness of Bangladesh\u27s tourism sector. Key findings highlight the need for targeted investments, innovative marketing approaches, and policy support to capitalize on the country\u27s tourism potential

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