S. M. Nafiz Rayun

Mr. S. M. Nafiz Rayun

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 July 2024
Verified
Book Chapter
Closed access
Muhammad Abdus SalamMuhammad Abdus Salam
Muhammad Abdus Salam
S. M. Nafiz RayunS. M. Nafiz Rayun
S. M. Nafiz Rayun
WIWaziha Islam
Waziha Islam
RHRobiul Hasan
Robiul Hasan
EFEgi Arvian Firmansyah
Egi Arvian Firmansyah
Kassim KalinakiKassim Kalinaki
Kassim Kalinaki
Artificial intelligence's rapid advancements are transforming marketing and consumer communication, like shifting from traditional influencers to AI-powered virtual influencers. Despite concerns about cyber-harassment and fraud, optimism prevails as netizens adopt technology. However, this technological advancement has opened numerous opportunities for marketers and practitioners to utilize it optimistically and within legal boundaries. So, it is crucial to synthesize the insights on how deepfake technologies can revolutionize marketing, particularly in enhancing consumer engagement, brand communication, and interaction strategies. Therefore, this chapter provides a comprehensive overview of the potential use of deepfake technologies in consumer marketing, emphasizing the ethical considerations that must be addressed, including transparency, consumer perceptions, and legal frameworks. The Nobel insights in this chapter will facilitate consumers, marketers, practitioners, researchers, and stakeholders, guiding them towards future directions.

1 December 2023 in Journal of Business and Economic Analysis
Verified
Journal Article
Closed access
Muhammad Abdus SalamMuhammad Abdus Salam
Muhammad Abdus Salam
S. M. Nafiz RayunS. M. Nafiz Rayun
S. M. Nafiz Rayun
VLVai Shiem Leong
Vai Shiem Leong

18 July 2025
Verified
Book Chapter
Closed access
S. M. Nafiz RayunS. M. Nafiz Rayun
S. M. Nafiz Rayun
Muhammad Abdus SalamMuhammad Abdus Salam
Muhammad Abdus Salam
WIWaziha Islam
Waziha Islam
VLVai Shiem Leong
Vai Shiem Leong
Green FinTech is the intersection of financial innovation and environmental sustainability, helping solve two of the most important challenges of our time: climate change and economic inequality. Using blockchain, AI, IoT, and mobile platform, it facilitates green investments, carbon credit trading and widely access to green finance. Green FinTech enables marginalised communities via microloans, pay-as-you-go solar systems and decentralized energy markets, perfectly aligning with UN SDGs (7, 9, 10, 13). It pays off globally too as seen in the case studies from Kenya (M-Pesa green bonds) to Bangladesh (IDCOL solar programs) and Brazil (Pix carbon trading). Yet, regulatory gaps, risk of greenwashing and the digital divide pose challenges to its scalability. The chapter suggests aligned ESG standards, PSPs, and energy-efficient technologies to help address the problem. Green FinTech provides a roadmap to equitable climate resilience and economic growth by connecting technology and policy with inclusion in the finance.

29 May 2026
Verified
Book Chapter
Closed access
S. M. Nafiz RayunS. M. Nafiz Rayun
S. M. Nafiz Rayun
Muhammad Abdus SalamMuhammad Abdus Salam
Muhammad Abdus Salam
VLVai Shiem Leong
Vai Shiem Leong
WIWaziha Islam
Waziha Islam
Mohammad SahabuddinMohammad Sahabuddin
Mohammad Sahabuddin
CDChandra Das
Chandra Das
The rapid rise of deepfake technologies has fundamentally challenged the reliability of digital information, raising urgent questions about who controls data, identity, and truth in the global data economy. This chapter analyzes deepfakes as a governance problem that reshapes power across digital systems. Using the Data Technology Platform Governance model, it explains how synthetic media operates through interconnected layers of data, artificial intelligence, platforms, and governance structures. The chapter argues that existing regulatory approaches remain fragmented and reactive, struggling to address the transnational and scalable nature of synthetic media. It highlights key risks, including violations of privacy, manipulation of digital identity, and erosion of trust in democratic processes. The chapter also examines emerging forms of resistance and concludes by emphasizing the need for coordinated and adaptive governance strategies that balance innovation with the protection of rights and public trust.

23 June 2026
Verified
Book Chapter
Closed access
S. M. Nafiz RayunS. M. Nafiz Rayun
S. M. Nafiz Rayun
Deepfake technologies pose a growing socio-technical threat to global tourism by enabling hyper-realistic synthetic media that manipulates travelers' perceptions and decisions. Using GANs, diffusion models, and accessible AI tools, scammers impersonate hotels, airlines, authorities, and influencers, weakening trust across booking platforms, the sharing-economy, and digital marketing. This chapter examines how deepfakes exploit tourism's vulnerabilities, including reliance on visual media, anticipatory consumption, and emotional decision-making. It outlines threat types such as identity impersonation, vishing, experiential fabrication, crisis deception, influence distortion, and emerging AI fraud. The chapter also analyzes cognitive, emotional, and structural weaknesses that heighten tourist exposure and highlights governance gaps that allow deception to grow. It reviews advances and limits in detection, authentication, watermarking, and blockchain provenance, and proposes a human–AI–organizational co-governance model to strengthen resilience.

30 July 2026
Verified
Book Chapter
Closed access
WIWaziha Islam
Waziha Islam
S. M. Nafiz RayunS. M. Nafiz Rayun
S. M. Nafiz Rayun
SCSadiul Alam Chowdhury
Sadiul Alam Chowdhury
MMMd Rasel Mia
Md Rasel Mia
RIRaji Adewumi Ismaheel
Raji Adewumi Ismaheel
The rapid development of artificial intelligence (AI) is reshaping modern brand communication, particularly in digital and data-driven environments. Integrated Brand Communication (IBC) provides a strategic framework for delivering consistent brand messages across multiple platforms and stakeholder groups. This study examines AI as a strategic enabler of IBC by enhancing data integration, personalization, and real-time communication management. Drawing on literature from marketing, brand management, and AI - it explains how technologies such as machine learning, natural language processing, and generative AI support automated content creation, predictive analytics, and adaptive communication strategies. It further highlights challenges related to AI adoption, including over-automation, algorithmic bias, and privacy concerns. It also emphasizes responsible AI governance and human-AI collaboration to strengthen integrated brand communication in the digital age.