An Exploration of Consumer Engagement Strategies Through the Lens of Artificial Intelligence in Marketing Personalization DOI

S. Thandayuthapani,

P. Thirumoorthi,

P. Elantheraiyan

и другие.

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 135 - 152

Опубликована: Июль 26, 2024

The study uses consumer involvement theory to examine AI's potential change marketing through personalization. Using client data and past encounters, AI may adapt messaging boost engagement. Gamification motivates consumers—AI provides individualized gamified for greater brand interactions. Predictive algorithms employ user customize adverts, product recommendations, demographic content. NLP systems assess sentiment from social media/reviews. Companies can make more engaging. Conversational improves connections with real-time recommendations support. Personalization increases satisfaction loyalty, but privacy requires transparency control. AI-driven tailored must be diverse avoid bias.

Язык: Английский

THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES DOI Creative Commons

Sodiq Odetunde Babatunde,

Opeyemi Abayomi Odejide,

Tolulope Esther Edunjobi

и другие.

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(3), С. 936 - 949

Опубликована: Март 28, 2024

This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into theoretical underpinnings consumer engagement sand investigates how AI can be leveraged to develop targeted and relevant experiences. personalize messages based on behavior demographics, influencing processing route maximizing engagement. theory use game mechanics motivate engage users. gamified experiences, tailoring rewards challenges individual preferences, driving deeper Algorithms analyze vast amounts customer data predict preferences behaviors. allows for advertising, product recommendations, content that resonates with specific segments. Natural Language Processing (NLP), AI-powered NLP tools reviews, social media conversations, other forms unstructured data. brands understand sentiment communication styles optimal chatbots virtual assistants provide personalized support recommendations real-time, fostering a more interactive engaging brand experience. Potential Benefits Considerations Personalized experiences cater needs leading higher satisfaction loyalty. By offerings segments, establish relatable image. Improved Conversion Rates, campaigns highly effective, increased conversions sales. Balancing personalization privacy concerns is crucial. Transparency user control over collection practices are essential. algorithms perpetuate biases present training Ensuring fairness inclusivity paramount. revolutionizing personalization. leveraging AI's analytical capabilities understanding aspects engagement, strategies foster connections drive business growth. Keywords: Personalization, Consumer Engagement, Marketing Strategy, Theoretical Exploration, Data Privacy, Algorithmic Bias.

Язык: Английский

Процитировано

127

Agile methodologies in digital banking: Theoretical underpinnings and implications for customer satisfaction DOI Creative Commons

Damilola Oluwaseun Ogundipe,

Opeyemi Abayomi Odejide,

Tolulope Esther Edunjobi

и другие.

Open Access Research Journal of Science and Technology, Год журнала: 2024, Номер 10(2), С. 021 - 030

Опубликована: Март 26, 2024

This paper delves into the theoretical underpinnings of agile methodologies and investigates their potential to enhance customer satisfaction in digital banking. Theoretical foundations draw on several key frameworks complexity theory, complex systems, like banking ecosystems, exhibit emergent properties. Traditional linear approaches struggle predict these. Agile embraces iterative development cycles adaptability changing requirements, acknowledging this lean thinking, derived from manufacturing, thinking prioritizes eliminating waste maximizing value. translates by focusing short sprints, prioritizing features with highest impact, minimizing unnecessary functionalities co-creation, traditional models often distance customers process. emphasizes actively involving them design testing. fosters a deeper understanding needs leads more relevant satisfying experiences. practices encompass diverse practices. visual management system focuses workflow optimization. Promoting continuous flow work deployment user stories acceptance criteria, User Acceptance criteria define specific conditions feature must meet for approval. These ensure align expectations. hold significant promise enhancing digit allows banks deliver new faster, keeping pace evolving demands. Customers benefit quicker access innovative solutions that address financial needs. results experiences are intuitive, efficient, cater Increased Innovation, The nature learning experimentation. Banks can test features, gather feedback, rapidly iterate upon them, leading dynamic experience. Improved transparency trust, promote open communication collaboration between teams customers. kept informed updates have voice shaping process, fostering trust sense ownership.

Язык: Английский

Процитировано

56

AI IN PROJECT MANAGEMENT: EXPLORING THEORETICAL MODELS FOR DECISION-MAKING AND RISK MANAGEMENT DOI Creative Commons

Opeyemi Abayomi Odejide,

Tolulope Esther Edunjobi

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(3), С. 1072 - 1085

Опубликована: Март 24, 2024

This paper explores the transformative potential of Artificial Intelligence (AI) in personalized marketing. It highlights how AI can analyze vast amounts customer data to create targeted messages, recommendations, and real-time interactions that resonate with individual needs preferences. approach fosters deeper consumer engagement, leading increased satisfaction, brand loyalty, business success. The discusses future shaping marketing experiences. However, responsible implementation will be paramount ensuring a positive for both brands consumers. Enhanced version abstract incorporating additional insights, this delves into power algorithms multitude points, including purchase history, website behavior, social media interactions. rich empowers highly By fostering AI-powered personalization unlocks pathway ultimately, significant growth. acknowledges ethical considerations accompany implementation. Responsible practices are paramount, security mitigating bias prevent discriminatory practices. Transparency is collected used builds trust consumers, mutually beneficial relationship. Looking ahead, Imagine Chat bot offering product recommendations real-time, or virtual reality experiences tailored lies creating genuine connections provides tools personalize journey at every touch point. navigating landscape prioritizing crucial consumers. Keywords: (AI), Personalized Marketing, Customer Engagement, Data, Marketing Strategy.

Язык: Английский

Процитировано

50

Entrepreneurial leadership in startups and SMEs: Critical lessons from building and sustaining growth DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(5), С. 1441 - 1456

Опубликована: Май 4, 2024

Entrepreneurial leadership plays a pivotal role in the success of startups and small to medium-sized enterprises (SMEs) by guiding them through turbulent waters innovation, risk, growth. This review explores critical lessons learned from experiences entrepreneurial leaders building sustaining growth within these dynamic organizations. In today's competitive business landscape, SMEs face unique challenges, including limited resources, intense competition, rapid market changes. Effective entails visionary mindset, willingness take calculated risks, an ability adapt evolving circumstances. delves into fundamental elements leadership, such as vision setting, adaptability, team building, decision-making, which are essential for navigating complexities startup SME environment. Furthermore, examines strategies growth, scalability, financial management, marketing, customer acquisition, strategic partnerships. Through case studies practical examples, it illustrates how successful have implemented overcome challenges achieve sustainable Despite their potential success, also numerous regulatory hurdles, technological disruptions, globalization. By understanding embracing emerging trends, can position organizations long-term ever-changing landscape. conclusion, this underscores importance driving innovation SMEs. learning past principles aspiring chart course towards world entrepreneurship. Keywords: Leadership, Startups, SMEs, Sustaining Growth.

Язык: Английский

Процитировано

47

Theoretical frameworks in AI for credit risk assessment: Towards banking efficiency and accuracy DOI Creative Commons

Tolulope Esther Edunjobi,

Opeyemi Abayomi Odejide

International Journal of Scientific Research Updates, Год журнала: 2024, Номер 7(1), С. 092 - 102

Опубликована: Март 26, 2024

This paper delves into theoretical frameworks in AI for credit risk assessment, exploring how these enhance banking efficiency and accuracy. It discusses various techniques such as machine learning algorithms, neural networks, natural language processing, their application assessment. Furthermore, it examines the challenges opportunities presented by frameworks, highlighting potential to revolutionize sector. Revolutionizing Credit Risk Assessment Banking, The Role of Artificial Intelligence In dynamic realm finance, assessment stands a fundamental pillar institutions. Traditionally, this process has heavily relied on statistical models historical data. However, emergence (AI) catalyzed transformative shift domain. elucidates underpinnings employed investigates profound implications enhancing accuracy operations. exploration begins delineating pertinent Leveraging processing techniques, offer innovative approaches evaluate creditworthiness. Unlike conventional methods, AI-driven possess capacity ingest vast datasets, identify intricate patterns, adapt dynamically evolving market dynamics. Such capabilities empower banks make more informed timely decisions regarding lending activities. Moreover, practical Through case studies empirical evidence, advanced methodologies enable mitigate risks while maximizing profitability. By harnessing AI, financial institutions can optimize scoring processes, defaulters with greater accuracy, customize terms based individual profiles. Additionally, facilitates real-time monitoring portfolios, allowing proactive management interventions prevent adverse outcomes.

Язык: Английский

Процитировано

46

Data-driven strategies for business expansion: Utilizing predictive analytics for enhanced profitability and opportunity identification DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

International Journal of Frontiers in Engineering and Technology Research, Год журнала: 2024, Номер 6(2), С. 071 - 081

Опубликована: Май 5, 2024

In today's hyper-competitive business landscape, leveraging data-driven strategies is paramount for sustainable growth and profitability. This review presents an overview of the imperative role predictive analytics in facilitating expansion by enhancing profitability identifying opportunities. Predictive harnesses historical data advanced modeling techniques to forecast future trends, enabling businesses make informed decisions with precision. By understanding analytics, can effectively identify opportunities analyzing market segmenting customer bases, uncovering new markets niches. Moreover, empowers organizations enhance through optimized pricing strategies, demand forecasting, personalized marketing initiatives tailored preferences behaviors. Implementing requires building a robust infrastructure, selecting appropriate tools technologies, fostering culture within organization. Real-world case studies illustrate transformative impact on expansion, offering insights into best practices lessons learned. Despite undeniable benefits challenges such as privacy concerns, ensuring quality, organizational resistance must be addressed. However, rewards embracing decision-making far outweigh challenges, positioning competitive advantage dynamic marketplace. conclusion, this emphasizes critical driving opportunity identification. harnessing power data, unlock avenues growth, mitigate risks, stay ahead curve economy.

Язык: Английский

Процитировано

41

Leadership and management in high-growth environments: effective strategies for the clean energy sector DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(5), С. 1423 - 1440

Опубликована: Май 4, 2024

The clean energy sector stands at the forefront of global efforts to combat climate change and transition towards sustainable sources. In this rapidly evolving landscape, effective leadership management are crucial for driving innovation, managing growth, navigating complex challenges. This abstract presents an overview key strategies tailored unique demands high-growth environments within sector. Firstly, visionary is essential setting ambitious goals inspiring teams pursue innovation excellence. Leaders must possess a deep understanding market trends, technological advancements, regulatory landscapes effectively steer their organizations success. Additionally, adaptive skills necessary respond swiftly changing dynamics capitalize on emerging opportunities. Strategic plays critical role in ensuring efficient allocation resources, optimizing operations, scaling up business operations sustainably. Talent acquisition retention priorities, requiring focus attracting diverse talent fostering culture continuous learning development. Furthermore, building sustainability long-term success Companies encourage entrepreneurial thinking, foster collaboration across disciplines, prioritize environmental stewardship operations. Despite immense potential sector, companies face policy hurdles that require proactive engagement advocacy efforts. Navigating government regulations, advocating pro-renewable policies, engaging with stakeholders components space. Through case studies best practices, highlights successful models, lessons learned from industry leaders, trends shaping future By embracing these strategies, leaders can position growth contribute future. Keywords: Leadership, Management, High-Growth Environments, Clean Energy Sector.

Язык: Английский

Процитировано

39

Navigating business transformation and strategic decision-making in multinational energy corporations with geodata DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(5), С. 801 - 818

Опубликована: Май 4, 2024

In the dynamic landscape of multinational energy corporations, navigating business transformation and strategic decision-making requires innovative approaches. Geodata, encompassing spatial location-based information, emerges as a pivotal asset in this endeavor. This paper outlines integration geodata into fabric facilitating informed decisions operational excellence. The introduction elucidates significance amidst evolving paradigms within sector. It explores transformative potential geospatial intelligence fostering agility resilience, crucial attributes for corporations. Understanding delves fundamental concepts drivers reshaping industry. Drawing from case studies, it illustrates how corporations leverage shifts to adapt market dynamics emerging technologies. subsequent section emphasizes role processes. diverse applications information optimizing operations, mitigating risks, capitalizing on opportunities. Integrating processes methodologies technologies underpinning effective utilization data. underscores importance robust data management analysis techniques deriving actionable insights. Leveraging excellence optimize management, streamline supply chains, enhance risk assessment through analytics. Case studies best practices offer real-world examples successful integration, highlighting key lessons future trends. Challenges considerations encompass complexities quality, regulatory compliance, organizational change management. conclusion, shaping trajectory advocating embrace Keywords: Business Transformation, Strategic Decision-Making, Multinational Energy Corporations, Geodata.

Язык: Английский

Процитировано

36

Geological survey techniques and carbon storage: Optimizing renewable energy site selection and carbon sequestration DOI Creative Commons

Oloruntosin Tolulope Joel,

Vincent Ugochukwu Oguanobi

Open Access Research Journal of Science and Technology, Год журнала: 2024, Номер 11(1), С. 039 - 051

Опубликована: Май 5, 2024

Geological survey techniques play a crucial role in optimizing site selection for renewable energy projects and identifying suitable locations carbon storage to mitigate climate change. This abstract provides an overview of how geological can be used achieve these objectives. Renewable development, particularly solar wind power, requires careful maximize generation efficiency minimize environmental impacts. surveys are instrumental assessing factors such as subsurface geology, topography, soil composition, hydrological conditions. These help identify with optimal or resources geologic conditions infrastructure development. Additionally, essential sites storage, critical component capture (CCS) technologies aimed at reducing greenhouse gas emissions. formations, deep saline aquifers, depleted oil reservoirs, unmineable coal seams, serve reservoirs captured dioxide (CO2). characterize formations assess their suitability long-term CO2 considering porosity, permeability, sealing integrity. Optimizing comprehensive understanding geology Advanced techniques, seismic imaging, remote sensing, geophysical surveys, acquiring detailed data. enable scientists engineers suitability, evaluate risks, design effective mitigation measures. In conclusion, invaluable tools storage. By leveraging stakeholders make informed decisions that promote sustainable development the impacts

Язык: Английский

Процитировано

35

Geoscientific research's influence on renewable energy policies and ecological balancing DOI Creative Commons

Vincent Ugochukwu Oguanobi,

Oloruntosin Tolulope Joel

Open Access Research Journal of Multidisciplinary Studies, Год журнала: 2024, Номер 7(2), С. 073 - 085

Опубликована: Май 5, 2024

Geoscientific research plays a crucial role in shaping renewable energy policies and promoting ecological balance. This review explores the impact of geoscientific on its balancing. provides valuable insights into geological environmental factors that influence feasibility sustainability projects. By studying earth's processes, geoscientists can identify suitable locations for installations, assess potential risks, develop strategies to mitigate impacts. One key ways which influences is through contribution resource assessment. Geoscientists use various techniques, such as mapping, geophysical surveys, remote sensing, quantify resources, solar, wind, geothermal energy. information essential policymakers effective promote development utilization sources. Furthermore, balancing by providing impacts interactions between installations surrounding environment, risks minimize them. ensure sustainable projects while protecting environment. In conclusion, resources their impacts, help

Язык: Английский

Процитировано

31