A conceptual framework for data-driven business optimization: Enhancing operational efficiency and strategic growth in U.S. small enterprises DOI Creative Commons

Enuma Ezeife,

May Equitozia Eyeregba,

Chukwunweike Mokogwu

и другие.

Magna Scientia Advanced Research and Reviews, Год журнала: 2024, Номер 12(2), С. 182 - 197

Опубликована: Ноя. 30, 2024

Small enterprises play a vital role in the U.S. economy, yet many face significant challenges optimizing operations and achieving sustainable growth due to resource constraints market dynamics. This study proposes conceptual framework for data-driven business optimization, aimed at enhancing operational efficiency fostering strategic small enterprises. Leveraging advancements data analytics, integrates predictive modeling, real-time processing, machine learning algorithms enable informed decision-making proactive strategy formulation. The emphasizes three core components: · Data Acquisition Management, which involves collecting structured unstructured from internal external sources build robust repository; Analytics Insights Generation, utilizing advanced tools identify patterns, forecast trends, detect inefficiencies; Strategic Implementation, applying insights streamline workflows, reduce costs, capitalize on emerging opportunities. By aligning strategies with organizational goals, ensures systematic approach addressing unlocking new avenues. Furthermore, this explores of technologies, including artificial intelligence Internet Things (IoT) devices, scalability adaptability framework. It also examines adopting approaches, such as limited technological expertise privacy concerns, offering practical recommendations overcome these barriers. Case studies successful implementations diverse sectors—retail, manufacturing, services—highlight framework's potential deliver measurable outcomes, increased productivity, improved customer satisfaction, competitive advantage. research provides actionable into leveraging asset, innovation, resilience rapidly evolving landscape.

Язык: Английский

Product strategy development and financial modeling in AI and Agritech Start-ups DOI Creative Commons

Eyitayo Raji,

Tochukwu Ignatius Ijomah,

Osemeike Gloria Eyieyien

и другие.

Finance & Accounting Research Journal, Год журнала: 2024, Номер 6(7), С. 1178 - 1190

Опубликована: Июль 7, 2024

This paper explores the intricate dynamics of product strategy development and financial modeling within burgeoning fields AI agritech start-ups. It begins by delineating stages development—from idea generation market research to launch scaling—emphasizing customer-centricity, innovation, collaborative partnerships as pivotal drivers success. Financial techniques, ranging from basic revenue cost structures advanced scenario analysis risk mitigation, are examined for their role in guiding strategic decision-making ensuring sustainability. In sector, rapid advancements machine learning data analytics reshaping industries through intelligent automation predictive insights. Agritech, meanwhile, leverages technology optimize agricultural processes, enhance productivity, promote sustainable practices amid global challenges. Both sectors share synergies integrating technologies innovate offerings performance, albeit facing distinct challenges such regulatory compliance adoption. Practical examples illustrate how start-ups apply these insights refine strategies models, enhancing competitiveness scalability. The implications practice underscore importance adapting dynamics, leveraging technological innovations, fostering collaborations drive growth innovation. Keywords: AI, Product Strategy Development, Modeling, Start-Ups

Язык: Английский

Процитировано

16

Machine learning software for optimizing SME social media marketing campaigns DOI Creative Commons

Wagobera Edgar Kedi,

Chibundom Ejimuda,

Courage Idemudia

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1634 - 1647

Опубликована: Июль 25, 2024

This review paper explores the transformative role of machine learning in optimizing social media marketing strategies for small and medium-sized enterprises (SMEs). It begins by highlighting significance SMEs, outlining historical context traditional strategies, examining current trends emerging applications. The delves into technical challenges implementing learning, such as data quality, algorithm complexity, system integration, well ethical concerns surrounding privacy algorithmic bias. SME-specific limitations are also discussed, including budget constraints lack expertise. Future directions focus on technologies like deep reinforcement offering practical recommendations SMEs to leverage these advancements effectively. conclusion emphasizes importance embracing achieve sustainable growth competitive advantage digital marketplace. Keywords: Machine Learning, Social Media Marketing, Data Privacy, Audience Targeting.

Язык: Английский

Процитировано

13

Advances in machine learning-driven pore pressure prediction in complex geological settings DOI Creative Commons

Adindu Donatus Ogbu,

Kate A. Iwe,

Williams Ozowe

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1648 - 1665

Опубликована: Июль 25, 2024

Advances in machine learning (ML) have revolutionized pore pressure prediction complex geological settings, addressing critical challenges oil and gas exploration production. Traditionally, predicting accurately heterogeneous anisotropic formations has been fraught with uncertainties due to the limitations of conventional geophysical petrophysical methods. Recent developments ML techniques offer enhanced precision reliability estimation, leveraging vast datasets sophisticated algorithms analyze interpret complexities. ML-driven approaches utilize a variety data sources, including well logs, seismic data, drilling parameters, train predictive models that can handle non-linear multi-dimensional nature subsurface conditions. Techniques such as neural networks, support vector machines, ensemble methods shown significant promise capturing intricate relationships between variables pressure. These adaptively learn from new improving their capabilities over time. A notable advantage is its ability integrate disparate types scales, providing holistic understanding regimes. This integration enhances accuracy forecasts, which crucial for wellbore stability, safety, hydrocarbon recovery. For instance, real-time operations be fed into dynamically update estimates, allowing immediate adjustments plans reducing risk blowouts or other hazards. Moreover, facilitate identification subtle patterns trends might overlooked by traditional capability particularly valuable deep-water environments, tectonically active regions, unconventional reservoirs, where often fall short. Despite promising advances, remain widespread adoption prediction. include need extensive training datasets, interpretability models, workflows existing geoscientific practices. Addressing these requires interdisciplinary collaboration geoscientists, scientists, engineers develop robust, user-friendly solutions. In summary, represents advancement managing complexities geology. By enhancing reliability, technologies are poised improve efficiency, productivity industry, challenging settings. Keywords: Advance, ML, Pore Pressure, Prediction, Geological Settings.

Язык: Английский

Процитировано

8

Leveraging Advanced Technologies for Efficient Project Management in Telecommunications DOI Creative Commons

Abidemi Adeleye Alabi,

Sikirat Damilola Mustapha,

Afees Olanrewaju Akinade

и другие.

International Journal of Multidisciplinary Research and Growth Evaluation, Год журнала: 2025, Номер 6(1), С. 318 - 327

Опубликована: Янв. 1, 2025

In the fast-paced and highly competitive telecommunications industry, efficient project management is crucial to maintaining operational excellence achieving strategic objectives. Advanced technologies are increasingly being leveraged enhance practices, driving improvements in efficiency, accuracy, adaptability. This paper explores how cutting-edge tools methodologies revolutionizing telecommunications, leading more effective planning, execution, control of projects. One primary transforming Artificial Intelligence (AI). AI-powered enable managers automate routine tasks, optimize resource allocation, predict outcomes with greater accuracy. Machine learning algorithms analyze historical data identify patterns forecast potential risks, allowing proactively mitigate issues before they escalate. AI also facilitates real-time decision-making by providing actionable insights recommendations based on analytics. Another significant advancement adoption cloud computing platforms. These platforms provide scalable flexible solutions that support collaboration sharing across dispersed teams. Cloud-based seamless integration various functions, such as scheduling, budgeting, performance tracking, ensuring all stakeholders have access up-to-date information can collaborate effectively regardless their location. The Internet Things (IoT) making a substantial impact telecommunications. IoT devices sensors collect from network infrastructure field operations, valuable into system utilization. data-driven approach enhances accuracy planning monitoring, enabling use assets timely identification issues. Furthermore, blockchain technology explored for its improve transparency security processes. Blockchain's decentralized immutable ledger ensures securely recorded easily auditable, reducing risk fraud enhancing trust among stakeholders. conclusion, advanced AI, computing, IoT, sector. offer benefits terms collaboration, telecom companies manage complex projects stay rapidly evolving industry. By leveraging these tools, ensure successful delivery, use, achieve goals agility precision.

Язык: Английский

Процитировано

0

Integrating Marketing and Sales Strategies: Boosting Brand Visibility and Customer Engagement DOI Open Access

Ogechukwu Nwanneka Ezechi,

Oluwakemi Famoti,

Chikezie Paul-Mikki Ewim

и другие.

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Год журнала: 2025, Номер 11(1), С. 1495 - 1514

Опубликована: Фев. 3, 2025

This review examines the integration of marketing and sales strategies as a crucial approach for boosting brand visibility enhancing customer engagement in today's competitive business environment. The fusion efforts aims to create seamless journey, ensuring that potential customers receive consistent messaging experience at all touchpoints. By aligning sales, organizations can leverage strengths both functions drive better outcomes. process begins with establishment common goals metrics teams work towards. includes defining target audiences, setting clear objectives, developing unified message resonates customers. Collaborative planning sessions regular communication between help creating cohesive strategy addresses needs preferences effectively. One key elements this is use data analytics. sharing insights, develop more targeted campaigns personalized approaches. data-driven allows identification high-value prospects creation tailored content appeals specific segments market. Additionally, automation tools Customer Relationship Management (CRM) systems facilitate information tracking interactions across teams. Furthermore, plays vital role integrated approach. High-quality, relevant pain points provides value attract nurture leads through funnel. Sales engage meaningful conversations demonstrate company's expertise commitment solving their problems. benefits integrating include increased visibility, improved lead generation, higher conversion rates, stronger relationships. working together, efficient effective engaging customers, ultimately leading sustainable growth edge marketplace.

Язык: Английский

Процитировано

0

Advances in rock physics for pore pressure prediction: A comprehensive review and future directions DOI Creative Commons

Adindu Donatus Ogbu,

Kate A. Iwe,

Williams Ozowe

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(7), С. 2304 - 2322

Опубликована: Июль 24, 2024

Advances in rock physics have significantly enhanced pore pressure prediction, a critical aspect of subsurface exploration and drilling operations. This comprehensive review delves into the latest developments methodologies, integrating empirical, theoretical, computational approaches to predict more accurately. Traditional prediction methods often rely on well log data seismic attributes, but recent advancements introduced innovative techniques that leverage physical properties rocks provide reliable predictions. Key advances include development improved models better account for complexities environments, such as heterogeneity anisotropy. These integrate from various sources, including logs, core samples, surveys, create understanding subsurface. Additionally, application machine learning artificial intelligence has opened new avenues analyzing large datasets, identifying patterns, refining predictive models. also examines role laboratory experiments field studies validating calibrating High-pressure high-temperature provided valuable insights behavior under different conditions, which are essential accurate prediction. Field studies, other hand, offer real-world help fine-tuning methodologies. Future directions integration advanced geophysical techniques, full-waveform inversion distributed acoustic sensing, higher resolution detailed imaging. The use cloud computing high-performance platforms is expected enhance processing analysis making efficient scalable. concludes by highlighting importance interdisciplinary collaboration advancing By combining expertise geophysics, petrophysics, geomechanics, science, can continue innovate improve accuracy reliability predictions, ultimately enhancing production efficiency oil gas industry. Keywords: Advances, Rock Physics, Pore Pressure, Prediction, Directions.

Язык: Английский

Процитировано

4

Building resilience in small businesses through effective relationship management and stakeholder engagement DOI Creative Commons

Theodore Narku Odonkor,

Oghenekome Urefe,

Edith Ebele Agu

и другие.

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(8), С. 2507 - 2532

Опубликована: Авг. 3, 2024

In an increasingly volatile and competitive business environment, building resilience is essential for the survival growth of small businesses. This paper explores how effective relationship management stakeholder engagement can strengthen in enterprises. The focus on developing strong relationships with customers, employees, suppliers, broader community, alongside fostering transparent communication trust. Effective begins understanding addressing needs expectations key stakeholders. For businesses, maintaining customer paramount. involves delivering exceptional service, personalized experiences, consistent value. By actively listening to feedback adapting their evolving preferences, businesses enhance loyalty reduce churn rates. Employee another critical aspect resilience. Engaged employees are more productive, innovative, committed company's success. Small should prioritize creating a positive work offering opportunities professional growth, recognizing employee contributions. Open channels inclusive decision-making processes further boost morale retention. Supplier also play vital role Establishing reliable mutually beneficial partnerships suppliers ensures steady flow goods services. negotiate favorable terms, maintain communication, diversify supplier base mitigate risks associated supply chain disruptions. Community corporate social responsibility (CSR) initiatives reputation credibility participating community development environmental sustainability efforts, build local networks garner support from community. These not only improve brand image but create sense purpose belonging among requires trust-building. regularly update stakeholders developments, challenges, successes. Utilizing digital platforms, media, newsletters facilitate timely communication. Building trust demonstrating consistency, integrity, accountability all dealings. conclusion, through nurturing connections trust, mutual support, adaptability, sustain navigate complexities modern landscape. Keywords: Resilience, Businesses, Management, Stakeholder, Relationship.

Язык: Английский

Процитировано

2

Accelerating Fintech optimization and cybersecurity: The role of segment routing and MPLS in service provider networks DOI Creative Commons

Olajide Soji Osundare,

Adebimpe Bolatito Ige

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(8), С. 2454 - 2465

Опубликована: Авг. 11, 2024

This review paper explores the profound impact of advanced financial modeling techniques on strategic business planning and performance. The begins with an overview evolution modeling, highlighting importance such as Monte Carlo simulations, real options analysis, machine learning models. It delves into role technology, including artificial intelligence big data analytics, in enhancing capabilities. discussion then shifts to how these models support by providing deeper insights, improving risk management, facilitating better decision-making. also examines challenges implementing quality issues skill gaps, offers practical recommendations. Future trends increased AI integration incorporation ESG factors, are explored. concludes emphasizing significant benefits driving decisions overall Keywords: Advanced Financial Modeling, Strategic Business Planning, Simulations, Machine Learning Models, Risk Management.

Язык: Английский

Процитировано

2

The future of project management in the digital age: Trends, challenges, and opportunities DOI Creative Commons

Ibrahim Adedeji Adeniran,

Edith Ebele Agu,

Christianah Pelumi Efunniyi

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(8), С. 2632 - 2648

Опубликована: Авг. 31, 2024

As we transition further into the digital age, landscape of project management is undergoing significant transformation. The integration technologies reshaping traditional practices, presenting both opportunities and challenges. This paper explores future in era, focusing on emerging trends, evolving challenges, potential opportunities. revolution driving several key trends management. First, adoption advanced such as Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics enhancing decision-making execution. These offer predictive insights, automate routine tasks, provide real-time data analytics, enabling managers to make more informed decisions improve efficiency. Second, rise remote hybrid work models transforming team dynamics coordination. Digital collaboration tools platforms facilitate seamless communication teamwork across geographical boundaries, making it possible for organizations harness a global talent pool. Despite these advancements, age also brings new rapid pace technological change requires continuously update their skills adapt methodologies. Managing cybersecurity risks has become critical concern, increased reliance exposes projects breaches cyber threats. Additionally, integrating with existing systems can be complex costly, requiring careful planning resource allocation. era offers numerous practices. ability leverage AI analytics lead accurate forecasting risk management, improving overall outcomes. enable greater flexibility agility execution, allowing respond quickly changes Furthermore, focus transformation drive innovation, leading business competitive advantages. In conclusion, characterized by exciting Embracing effectively leveraging will crucial successful outcomes achieve strategic goals an increasingly world. Keywords: Future, Project Management, Age, Trends, Challenges.

Язык: Английский

Процитировано

2

Comprehensive financial strategies for achieving sustainable growth in small businesses DOI Creative Commons

Theodore Narku Odonkor,

Oghenekome Urefe,

Emmanuel Biney

и другие.

Finance & Accounting Research Journal, Год журнала: 2024, Номер 6(8), С. 1349 - 1374

Опубликована: Авг. 3, 2024

Sustainable growth in small businesses is a critical component for economic stability and development. This review outlines comprehensive financial strategies designed to foster long-term sustainability enterprises. The primary focus on creating robust foundation, optimizing resource allocation, leveraging innovative tools. Firstly, effective planning budgeting are foundational elements. Small must develop detailed plans that encompass both short-term operational needs objectives. includes cash flow management ensure liquidity, investment essential assets, maintaining an emergency fund cushion against unforeseen fluctuations. Secondly, access diverse funding sources essential. Traditional bank loans, venture capital, government grants provide necessary capital expansion. Additionally, crowdfunding peer-to-peer lending platforms have emerged as viable alternatives, particularly startups community-driven projects. Businesses should strategically select align with their stages health. Moreover, cost efficiency play pivotal role sustainability. Implementing cost-control measures such lean techniques can optimize reduce waste. Regular audits performance reviews help identify areas of improvement resources being utilized effectively. Another strategy investing technology innovation. Adopting technologies (fintech) like automated accounting software, digital payment systems, analytics tools streamline operations, enhance decision-making, improve transparency. Embracing technological advancements ensures remain competitive responsive market changes. Risk equally important achieving sustainable growth. involves identifying potential risks, volatility, developing mitigation strategies. Insurance products, diversification revenue streams, risk plan safeguard disruptions. Lastly, fostering strong relationships advisors mentors valuable insights guidance. These professionals navigate complex landscapes, offer strategic advice, support making informed decisions. In conclusion, encompassing planning, funding, management, integration, professional guidance vital businesses. By adopting these strategies, enterprises build resilient drive innovation, success increasingly market. Keywords: Achieving, Growth, Businesses, Comprehensive, Financial Strategies.

Язык: Английский

Процитировано

1