Anupama Peter Mattathil

Ms. Anupama Peter Mattathil

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Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

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

Representative Publications

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12 February 2025 in Societies
Verified
Journal Article
Open access
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Babu GeorgeBabu George
Babu George
AMAnupama Peter Mattathil
Anupama Peter Mattathil
Generative artificial intelligence (AI) present opportunities and challenges for African American tourism entrepreneurs. This paper conceptually explores how tools like language models, image generators, and creative assistants can be used for content creation, personalized marketing, and deeper customer connections. Drawing on relevant innovation- and resource-related theories, this paper examines factors influencing the adoption of generative AI among African American tourism entrepreneurs. The analysis highlights the potential to address tourism-specific needs like virtual tours, multilingual content, and conversational AI assistants. The paper recognizes challenges faced by African American entrepreneurs, including the digital divide, and suggests solutions such as partnerships and training programs aimed at responsible AI adoption. This work aims to provide a foundation for understanding how generative AI can drive innovation and cultural preservation within the African American tourism sector.

26 January 2026 in Platforms
Verified
Journal Article
Open access
PDF file
AMAnupama Peter Mattathil
Anupama Peter Mattathil
Babu GeorgeBabu George
Babu George
THTony Henthorne
Tony Henthorne
In digital marketplaces, trust in e-commerce platforms has evolved from a protective heuristic into a powerful mechanism of behavioral conditioning. This review interrogates how trust cues such as star ratings, fulfillment badges, and platform reputation shape consumer cognition, systematically displace critical evaluation, and create asymmetries in perceived quality. Drawing on over 47 high-quality studies across experimental, survey, and modeling methodologies, we identify seven interlocking dynamics: (1) cognitive outsourcing via platform trust, (2) reputational arbitrage by low-quality sellers, (3) consumer loyalty despite disappointment, (4) heuristic conditioning through trust signals, (5) trust inflation through ratings saturation, (6) false security masking structural risks, and (7) the shift in consumer trust from brands to platforms. Anchored in dual process theory, this synthesis positions trust not merely as a transactional enabler but as a socio-technical artifact engineered by platforms to guide attention, reduce scrutiny, and manage decision-making at scale. Eventually, platform trust functions as both lubricant and leash: streamlining choice while subtly constraining agency, with profound implications for digital commerce, platform governance, and consumer autonomy.