COMPARATIVE ANALYSIS OF TRADITIONAL AND MODERN FINANCIAL MODELS IN INVESTMENT DECISION MAKING DOI

Mayank Bajpai,

Audhesh Tripathi,

CMA Niraj Prasad

и другие.

ShodhKosh Journal of Visual and Performing Arts, Год журнала: 2023, Номер 4(2)

Опубликована: Дек. 31, 2023

This research paper investigates the comparative effectiveness of traditional financial models, such as Capital Asset Pricing Model (CAPM) and Discounted Cash Flow (DCF) analysis, versus modern including Machine Learning algorithms Behavioral Finance in investment decision-making. The study aims to determine whether models provide more accurate reliable predictions, especially under volatile market conditions, how integration these influences overall performance.A quantitative methodology was employed, utilizing a survey 100 professionals with varying levels experience. data collected analyzed through statistical tests, Independent Samples T-Test, Paired Multiple Regression Analysis, Chi-Square Test, Pearson Correlation. findings reveal that are perceived effective predicting outcomes compared models. Additionally, enhances decision-making performance. also highlights significant association between level experience model preference, experienced favoring models.These results have important implications for professionals, suggesting adoption can lead improved outcomes, particularly when combined approaches. Future could explore long-term performance different economic environments.

Язык: Английский

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

Portia Oduro,

Ngozi Samuel Uzougbo,

Munachi Chikodili Ugwu

и другие.

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(5), С. 927 - 944

Опубликована: Май 21, 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 Regulatory hurdles often stem from outdated policies, complex permitting processes, conflicting regulations at various governmental levels.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 Keywords: Legal Strategies, Innovation, Barriers, Renewable Energy, Overcoming.

Язык: Английский

Процитировано

4

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

и другие.

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(5), С. 861 - 890

Опубликована: Май 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.

Язык: Английский

Процитировано

1

Evaluating the impact of digital technology on youth leadership development in the USA DOI Creative Commons

Olateju Temitope Akintayo,

Chima Abimbola Eden,

Nneamaka Chisom Onyebuchi

и другие.

GSC Advanced Research and Reviews, Год журнала: 2024, Номер 19(1), С. 132 - 145

Опубликована: Апрель 26, 2024

Digital technology has become an integral part of modern society, influencing various aspects daily life, including education and leadership development. This study aims to evaluate the impact digital on youth development in USA. The research explores how technology, such as social media, online platforms, communication tools, influences skills qualities among young people. employs a mixed-methods approach, combining quantitative surveys qualitative interviews gather data from diverse sample leaders across Quantitative are used assess extent which is programs its perceived skills. Qualitative provide deeper insights into qualities, communication, collaboration, problem-solving Preliminary findings suggest that plays significant role development, offering new opportunities for learning growth. Social media particular, identified valuable tools connecting with peers, sharing ideas, mobilizing support causes. However, also highlights challenges associated use risk information overload potential harassment bullying. concludes by emphasizing need educators, policymakers, organizations recognize enhancing while addressing challenges. Recommendations provided integrating effectively, importance literacy policies promote safe responsible practices leaders. Overall, this contributes growing body literature providing practitioners policymakers seeking harness power

Язык: Английский

Процитировано

0

Benefits and Challenges of Artificial Intelligence in FinTech DOI
Mufaro Dzingirai, Peterson K Ozili

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 193 - 210

Опубликована: Июль 26, 2024

The proliferation of digital transactions in the financial sector when it comes to 4th Industrial Revolution (41R) has allowed companies use artificial intelligence. Worryingly, appears that scant is known about intelligence FinTech discourse especially African economies. As such, this chapter aims fill gap by focusing on role FinTech. With utilization a comprehensive literature review methodology, was observed utmost importance as can augment accuracy, efficiency, fraud detection, effectiveness, human capabilities, and customer experiences; mitigate economic crimes; accelerate regulatory compliance. Despite these benefits FinTech, brought fore some insurmountable challenges like ethical concerns, rights issues, social engineering, fraudulent data generation. results current study are associated with theoretical practical implications.

Язык: Английский

Процитировано

0

COMPARATIVE ANALYSIS OF TRADITIONAL AND MODERN FINANCIAL MODELS IN INVESTMENT DECISION MAKING DOI

Mayank Bajpai,

Audhesh Tripathi,

CMA Niraj Prasad

и другие.

ShodhKosh Journal of Visual and Performing Arts, Год журнала: 2023, Номер 4(2)

Опубликована: Дек. 31, 2023

This research paper investigates the comparative effectiveness of traditional financial models, such as Capital Asset Pricing Model (CAPM) and Discounted Cash Flow (DCF) analysis, versus modern including Machine Learning algorithms Behavioral Finance in investment decision-making. The study aims to determine whether models provide more accurate reliable predictions, especially under volatile market conditions, how integration these influences overall performance.A quantitative methodology was employed, utilizing a survey 100 professionals with varying levels experience. data collected analyzed through statistical tests, Independent Samples T-Test, Paired Multiple Regression Analysis, Chi-Square Test, Pearson Correlation. findings reveal that are perceived effective predicting outcomes compared models. Additionally, enhances decision-making performance. also highlights significant association between level experience model preference, experienced favoring models.These results have important implications for professionals, suggesting adoption can lead improved outcomes, particularly when combined approaches. Future could explore long-term performance different economic environments.

Язык: Английский

Процитировано

0