Generative AI's Impact on the Hospitality Industry DOI
Anam Afaq, Meenu Chaudhary, Loveleen Gaur

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 243 - 266

Published: Sept. 13, 2024

This chapter explores the ethical use of generative AI in hospitality industry, with a focus on preserving customer privacy and ensuring responsible technology. can be accomplished by giving people chance to create transparent data governance, privacy-preserving methods, urgent need for algorithmic auditing reduce bias. provides organisational preparedness insights seamless transition hotel sector. The also discusses factors that influence effective application such technology necessity upskilling personnel order maximise potential technological advancements. It examines applications sector, including frameworks AI-driven ROI assessments business impacts creativity, product creation, strategic decision-making. aims equip leaders tools properly integrate intelligent solutions advocating human-centred design principles encouraging cross-functional collaboration.

Language: Английский

Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human DOI Creative Commons
Daniel J. Mathew,

Deborah Ebem,

Anayo Chukwu Ikegwu

et al.

Neural Processing Letters, Journal Year: 2025, Volume and Issue: 57(1)

Published: Feb. 7, 2025

Language: Английский

Citations

1
The role of IoT and XAI convergence in the prediction, explanation, and decision of customer perceived value (CPV) in SMEs: a theoretical framework and research proposition perspective DOI Creative Commons
Kwabena Abrokwah-Larbi

Discover Internet of Things, Journal Year: 2025, Volume and Issue: 5(1)

Published: Jan. 11, 2025

The goal of this study is to look at how the convergence IoT and XAI (IoT-XAI) effects explanation, prediction, decision-making on customer perceived value (CPV) in SMEs, utilising CPV IoT-XAI theories. This also investigates customer-IoT interaction influences deep learning (DL) model prediction CPV, as well explanation decision making prediction. literature interaction, physical objects, data analysis, model, XAI, was reviewed develop a theoretical framework for investigating relationships between convergence, towards personalised marketing. research propositions are depicted Fig. 1. Drawing used study, eight key were developed relationship customers, IoT, DL, decision. According created propositions, generates data, which then converted into structured by analytics fed DL models As result, produce explanations decisions based DL-enabled guides personalise paper explains SMEs may leverage capabilities generate modify their personalize marketing methods.

Language: Английский

Citations

0
Understanding customer loyalty-aware recommender systems in E-commerce: an analytical perspective DOI Creative Commons
Ramazan Esmeli, Ali Selçuk Can,

A. Y. Awad

et al.

Electronic Commerce Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

Citations

0
Education in the Era of Generative AI DOI
Suvidha Agarwal,

Preeta Rajiv Sivaraman

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 223 - 248

Published: Sept. 18, 2024

Gen artificial intelligence (AI) is revolutionizing the higher education sector by employing deep learning models to generate information that closely mimics human content. However, its introduction into educational settings raises questions about factors like academic integrity, moral ethics and potential impacts on critical thinking skills. The emergence of generative may seem be a reason for concern which has led swift prohibitions organizations agencies. chapter proposes put in detail benefits using Generative AI stakeholders sector, along with values taken care thereby avoiding reasons negate usage AI. This will cover use different settings, tools methods employed, efficiency GAI enhancing teaching learning, influence student outcomes, possible drawbacks dilemmas related application.

Language: Английский

Citations

1
Impact of Artificial Intelligence on Marketing and Consumer Decision-Making DOI

Syed Aijaz Ahmad,

Maroof Ahmad Mir

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 169 - 188

Published: Sept. 13, 2024

ABSTRACT Author 1 Dr. Syed Aijaz Ahmad Professor- Marketing Asian School of Business 2 Maroof Mir Dean Academics, Abstract: Impact Artificial Intelligence on and Consumer Decision-Making (AI) is revolutionizing the marketing landscape by enhancing personalization, optimizing advertising strategies, transforming consumer interactions. This paper explores profound impact AI how it influences decision-making, highlighting several key areas where technologies are making a significant difference. AI-driven personalization allows marketers to create tailored experiences for consumers, leveraging data deliver highly relevant recommendations, content, advertisements. Personalization at scale not only increases engagement satisfaction but also enhances likelihood conversion.

Language: Английский

Citations

1
Transformative Potential and Ethical Challenges of Generative AI in E-Commerce DOI

Shilpa Narula,

Anam Afaq, shikha Nagar

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 317 - 336

Published: Sept. 18, 2024

This chapter depicts how generative AI can redefine the e-commerce industry through enhanced personalised experience, dynamic pricing, and operational efficiency. However, also illustrates be accompanied by problems in terms of biases ethical challenges. discusses ways to uncover, tackle, prevent bias systems ensure that no customers are discriminated against. The highlights necessity accountability, transparency, robust privacy standards decision-making win over users uphold standards. Generative development is expected become increasingly important when used with accountability. In this way, promote justice, trust, achieve sustainable digital economy growth as develops. As grows, AIs fairness, restore confidence, drive development.

Language: Английский

Citations

0
Promises, Opportunities, and Challenges DOI
Anam Afaq, Meenu Chaudhary, Loveleen Gaur

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 29 - 52

Published: Sept. 13, 2024

This chapter explores how generative artificial intelligence (AI) is revolutionizing healthcare by enhancing efficiency and creating new opportunities. Utilizing Large Language Models advanced Conversational AI, this technology transforming patient care, medical documentation, research optimizing processes, improving diagnostic accuracy, increasing engagement, simplifying research. Key advancements include synthetic data creation, empathy bubbles for professional education, clinical administrative support. However, integrating AI in raises critical issues such as safety, regulatory compliance, privacy, copyright concerns. Addressing these challenges through customized responses, better user interfaces, collaboration among organizations, pharmaceutical companies, bodies essential harnessing AI's full potential. offers a comprehensive evaluation of impact the obstacles that must be overcome its effective use healthcare.

Language: Английский

Citations

0
Integrating Generative AI-Driven Learning Programs to Enhance Marketing Skills DOI

Shefali Mishra,

Anam Afaq, Tapas Kumar Mishra

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 189 - 226

Published: Sept. 13, 2024

In today's era of advancements in autonomous learning solutions, based on generative AI technologies like marquess may also help revolutionize and infuse cutting-edge marketing skills at scale. this chapter, we look the tremendous opportunities that poses for personalized experiences, which are adaptive interactive - encouraging creative thinking, strategic reasoning among professionals. By leveraging sophisticated educators can offer content caters to each student's unique preferences. Generative applications education, possible benefits challenges regarding these issues outlined. The implications future directions integrating within curricula then examined through case studies empirical research. These results suggest AI-powered platforms impact not only improving educational outcomes but preparing professionals deal with ever-evolving requirements modern marketers.

Language: Английский

Citations

0
Generative AI's Impact on the Hospitality Industry DOI
Anam Afaq, Meenu Chaudhary, Loveleen Gaur

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 243 - 266

Published: Sept. 13, 2024

This chapter explores the ethical use of generative AI in hospitality industry, with a focus on preserving customer privacy and ensuring responsible technology. can be accomplished by giving people chance to create transparent data governance, privacy-preserving methods, urgent need for algorithmic auditing reduce bias. provides organisational preparedness insights seamless transition hotel sector. The also discusses factors that influence effective application such technology necessity upskilling personnel order maximise potential technological advancements. It examines applications sector, including frameworks AI-driven ROI assessments business impacts creativity, product creation, strategic decision-making. aims equip leaders tools properly integrate intelligent solutions advocating human-centred design principles encouraging cross-functional collaboration.

Language: Английский

Citations

0