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

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(3), P. 936 - 949

Published: March 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.

Language: Английский

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

Open Access Research Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 10(2), P. 021 - 030

Published: March 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.

Language: Английский

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

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(3), P. 1072 - 1085

Published: March 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.

Language: Английский

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Optimizing agile project management methodologies in high-tech software development

GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 19(2), P. 268 - 274

Published: May 29, 2024

This review paper examines the challenges and limitations of traditional Agile methodologies in high-tech software development. It proposes enhancements to optimise efficiency outcomes. Traditional methodologies, such as Scrum Kanban, have revolutionised development practices but face scalability issues struggle adapt rapid technological changes. To address these challenges, this integrating DevOps practices, incorporating Lean principles, adopting hybrid emphasising continuous feedback iterative learning. These aim streamline processes, eliminate waste, tailor specific needs, foster a culture improvement. The potential impact on improving outcomes projects is significant. However, further research experimentation are needed validate their effectiveness real-world settings. Continuous improvement adaptation essential for organisations stay competitive ever-evolving landscape industries.

Language: Английский

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Growth hacking: A scientific approach for data-driven decision making

Journal of Business Research, Journal Year: 2024, Volume and Issue: 186, P. 115030 - 115030

Published: Nov. 1, 2024

Language: Английский

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Topic: Leveraging Agile and Hybrid Models to Advance Sustainability Initiatives in the Oil and Gas Industry

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Environmental concerns, strict guidelines, and social needs are piling pressure on the oil gas industry to change their practice be more sustainable. This review looks at how Agile Hybrid project management methodologies can help address these efforts while balancing flexibility structure, managing issues such as regulatory compliance stakeholder engagement. The through case studies demonstrates increases in adaptability, collaboration, innovation that Agile’s iterative processes provide. It is especially useful dynamic issues, like green energy schemes, or cutting carbon footprints. models other hand, alternatively fuse of with structure Waterfall, manage bring requirement stability for compliance-intensive projects. Taken together provide a balanced matrix sustainability complex contexts. Nevertheless, methods not easy implement. However, usually impeded by cultural resistance, high costs complexities. Leadership, employee training use new technology AI digital twins all critical ways get around hurdles achieve better outcomes, concludes. Finally, valuable tools progress industry, following many macro goals (such United Nations Sustainable Development Goals (SDGs). offers practical guidance field leaders policymakers hasten sustainable this important area.

Language: Английский

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Toward a multidimensional concept of organizational agility: a systematic literature review

Management Review Quarterly, Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

Language: Английский

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Relations between daily stand-up meetings, work satisfaction, and team performance perceptions: the role of psychological safety

European Journal of Work and Organizational Psychology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: May 20, 2025

Language: Английский

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A Process Model for Early-Stage Experimentation to Accelerate Innovation

Research-Technology Management, Journal Year: 2024, Volume and Issue: 67(4), P. 36 - 48

Published: June 27, 2024

Language: Английский

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

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 135 - 152

Published: July 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.

Language: Английский

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