An Empirical Study on Enhancing Explainability Through Quantum Machine Learning for Credit Risk Analysis DOI

Aadrian Routh,

Parvathy Gopakumar,

Rubell Marion Lincy G

et al.

Published: Nov. 20, 2024

Language: Английский

Renewable energy expansion: Legal strategies for overcoming regulatory barriers and promoting innovation DOI Creative Commons

Portia Oduro,

Peter Simpa,

Darlington Eze Ekechukwu

et al.

World Journal of Advanced Engineering Technology and Sciences, Journal Year: 2024, Volume and Issue: 12(1), P. 168 - 186

Published: May 29, 2024

The expansion of renewable energy sources is pivotal in mitigating climate change and transitioning towards a sustainable future. However, the realization this transition faces numerous regulatory barriers that impede deployment integration technologies. This abstract explores legal strategies essential for overcoming these promoting innovation expansion. Regulatory hurdles often stem from outdated policies, complex permitting processes, conflicting regulations at various governmental levels. Moreover, uncertainties surrounding property rights, land use, interconnection standards pose significant challenges to developers investors. To address barriers, frameworks must evolve accommodate unique characteristics requirements projects. Effective encompass range interventions, including streamlining procedures, harmonizing across jurisdictions, providing clarity on contractual frameworks. Furthermore, innovative policy mechanisms such as feed-in tariffs, portfolio standards, tax incentives can incentivize while ensuring compliance. Promoting requires proactive approach reform. involves fostering collaboration between policymakers, industry stakeholders, experts identify bottlenecks develop tailored solutions. Additionally, flexible allow experimentation adaptation technological advancements are driving sector. Case studies jurisdictions illustrate successful employed overcome promote These examples highlight importance stakeholder engagement, adaptive governance structures facilitating economy. In conclusion, multifaceted combines legal, policy, By adopting strategies, policymakers create an enabling environment fosters deployment, accelerates innovation, advances

Language: Английский

Citations

12

A review of strategic decision-making in marketing through big data and analytics DOI Creative Commons

Kikelomo Fadilat Anjorin,

Mustafa Ayobami Raji,

Hameedat Bukola Olodo

et al.

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(5), P. 1126 - 1144

Published: May 13, 2024

This review paper delves into the transformative impact of big data and analytics on strategic marketing decision-making. Examining integration vast datasets analytical tools in strategies highlights how these technological advancements enable a deeper understanding customer behavior, enhance product development, provide competitive edge. The underscores importance data-driven insights formulating personalized critical role predictive prescriptive It addresses challenges ethical considerations associated with usage, emphasizing need for robust governance practices. suggests future research directions, focusing emerging technologies methodologies that could further influence decisions. Keywords: Big Data, Analytics, Strategic Marketing, Data-Driven Decision-Making, Ethical Considerations, Emerging Technologies.

Language: Английский

Citations

11

Navigating legal pathways: Optimizing energy sustainability through compliance, renewable integration, and maritime efficiency DOI Creative Commons

Portia Oduro,

Ngozi Samuel Uzougbo,

Munachi Chikodili Ugwu

et al.

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(5), P. 1732 - 1751

Published: May 21, 2024

This concept paper explores the intricate interplay between legal frameworks and energy sustainability, focusing on compliance, renewable integration, maritime efficiency. The industry, a significant contributor to global emissions, faces unique challenges opportunities in transitioning towards sustainability. By examining current pathways best practices, this aims provide insights recommendations for optimizing sustainability sector. begins by outlining regulatory landscape, highlighting key international conventions, regional regulations, emerging trends shaping industry's agenda. It then delves into compliance faced stakeholders, including complexities, enforcement issues, need harmonization. also role of analyzing successful integration strategies, such as hybrid propulsion systems, wind-assisted propulsion, shore power solutions. highlights supporting adoption identifies further innovation. Furthermore, examines efficiency through lenses, discussing measures improve operational efficiency, reduce enhance overall considers impact digitalization, automation, data-driven technologies operations, emphasizing adapt these technological advancements. Based analyses, proposes policymakers, industry practitioners These include fostering cooperation, promoting investment, enhancing clarity mechanisms. In conclusion, underscores importance embracing integrating energy, can transition more sustainable future while navigating complex landscape effectively. Keywords: Energy, Sustainabiltiy, Policy, Renewable.

Language: Английский

Citations

11

The influence of social media marketing on consumer behavior in the retail industry: A comprehensive review DOI Creative Commons

Kikelomo Fadilat Anjorin,

Mustafa Ayobami Raji,

Hameedat Bukola Olodo

et al.

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(5), P. 1547 - 1580

Published: May 12, 2024

The pervasive impact of social media marketing on consumer behavior within the retail industry serves as focal point this comprehensive review. This paper aims to dissect intricate relationship between initiatives and their effects purchasing patterns, brand loyalty, engagement. By collating examining a broad spectrum literature, including empirical studies, theoretical frameworks, case analyses, review endeavors provide holistic understanding how platforms are reshaping interactions with brands. Without adopting primary research methodology, critically analyzes existing findings identify prevailing trends, effective strategies, resultant responses in context. analysis delves into mechanisms through which influences perceptions, engagement practices, ultimately, decisions. It highlights transformative power marketing, emphasizing shift towards more interactive, personalized, consumer-driven communication strategies. Key insights reveal that exerts profound influence behavior, mediated by factors such content authenticity, extent engagement, strategic use influencers user-generated content. These elements shown enhance visibility, strengthen consumer-brand relationships, behavior. posits represents critical element contemporary mix, significant implications for behaviour. Retailers must leverage innovative strategies engage consumers effectively. also suggests avenues future research, particularly context evolving trends synthesis equip practitioners scholars nuanced role shaping dynamics sector. Keywords: Social Media Marketing, Consumer Engagement, Brand Awareness, Content Influencer Personalization, Customer Relationship Management (CRM).

Language: Английский

Citations

5

Fairness and Bias in Machine Learning Models for Credit Decisions DOI
Silvio Andrae

Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: Jan. 22, 2025

Machine learning (ML) models transform credit decision-making, improving efficiency, predictive accuracy, and scalability. However, these innovations raise critical concerns about fairness bias. This chapter explores the complexities of applying ML in lending. Balancing with accuracy is a core challenge, often requiring trade-offs highlighting current systems' limitations. The analysis delves into statistical metrics examines how address—or exacerbate—the bias-fairness trade-off. It underscores importance transparency interpretability models, as are not just desirable but necessary for fostering trust making systems comprehensible without sacrificing performance. Empirical studies from US UK underscore data quality, model design, interdisciplinary collaboration mitigating addresses technical societal dimensions provides actionable insights leveraging responsibly lending while minimizing ethical economic risks.

Language: Английский

Citations

0

Voice assistants and U.S. consumer behavior: A comprehensive review: investigating the role and influence of voice-activated technologies on shopping habits and brand loyalty DOI Creative Commons

Kikelomo Fadilat Anjorin,

Mustafa Ayobami Raji,

Hameedat Bukola Olodo

et al.

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(5), P. 861 - 890

Published: May 12, 2024

This study provides a comprehensive review of the influence voice-activated technologies, particularly voice assistants, on consumer behavior and brand loyalty in United States. The primary objective is to understand how these emerging technologies are reshaping shopping habits dynamics brand-consumer interactions. methodology encompasses thorough analysis peer-reviewed academic journals, industry reports, case studies, supplemented by secondary sources such as market analyses news articles. Key findings reveal that assistants have induced significant paradigm shift behavior, characterized changes purchasing patterns, decision-making processes, convenience personalized experience offered led increased impulse buying experimentation. However, this accompanied challenges data privacy security. also highlights rapid evolution engagement, with advancements AI machine learning enhancing personalization efficiency. Strategically, recommends brands retailers invest search optimization, develop secure practices, collaborate technology developers create engaging experiences. concludes while present substantial opportunities for enhanced they pose require careful navigation, maintaining trust ethical standards. Future research directions include exploring long-term effects impact demographic factors adoption assistants. Keywords: Voice Assistants, Consumer Behavior, Brand Loyalty, Voice-Activated Technologies.

Language: Английский

Citations

1

An Empirical Study on Enhancing Explainability Through Quantum Machine Learning for Credit Risk Analysis DOI

Aadrian Routh,

Parvathy Gopakumar,

Rubell Marion Lincy G

et al.

Published: Nov. 20, 2024

Language: Английский

Citations

0