Inv. Galvin Lee Kuan Sian FRSA
MBA Mktg. (Bedfordshire), PCert. FinTech (Hong Kong), BA Econ. (West England), BBus Fin. & Econ. (Taylor’s)
Registered Inventor (IFIA, Switzerland), Fellow of the Royal Society of Arts (UK), MCIM (UK), CTA (Philippines), FMVA (US), MIE (US)
Galvin is a multidisciplinary academic, educator, and entrepreneur with a proven track record of excellence in business, education, and innovation. Holding First Class Honours in Finance & Economics from the University of the West of England and Taylor’s University, along with an MBA in Marketing from the University of Bedfordshire, he brings a unique blend of analytical rigour and strategic creativity. His academic foundation is further strengthened by a Postgraduate Diploma in Strategic Management and an ongoing PGCE at Taylor’s University, complemented by professional designations such as the Financial Modelling and Valuation Analyst (FMVA), Bloomberg Market Concepts (BMC), and Certified Technical Analyst (CTA).
Currently, Galvin is pursuing his Doctor of Philosophy (PhD) at Universiti Malaya (Asia-Europe Institute), where his research explores marketing and consumer behaviour in Malaysia and the wider ASEAN region. His scholarly contributions span peer-reviewed journals, international conferences, and thought-provoking opinion pieces on global trade, digital transformation, and the evolving consumer landscape.
Galvin is a member of leading global institutions including the Chartered Institute of Marketing (CIM), Institute of Marketing Malaysia (IMM), Academy of Marketing Science (AMS), and British Academy of Management (BAM). Recognised as a Certified Educator with Google, Gemini, Wayground, ClassPoint, and a Microsoft Innovative Educator (MIE) Expert, he actively bridges cutting-edge digital tools with pedagogy.
In his role as Lecturer I & Programme Coordinator (Diploma in Business) at Taylor’s College, Galvin is widely recognised as the spearhead of business and management education with a strong focus on AI-powered, experiential, and gamified learning. His teaching innovations have earned him more than a dozen GOLD Awards at national and international platforms, cementing his reputation as a trailblazer in higher education. He has also been invited by various international innovation competitions to serve as a judge, recognising his expertise in business education, creativity, and transformative teaching innovation. Beyond his institutional role, he is the founder of Galvin Lee Innovation Lab, an innovation platform dedicated to developing original AI-driven educational tools, immersive learning experiences, and transformative digital solutions for teaching and learning. He also holds the title of registered Inventor (Inv.), conferred by the International Federation of Inventors’ Associations (IFIA), Switzerland, underscoring his recognised contributions as an inventor in the field of educational innovation.
Subject Matter Expertise: Consumer Behaviour, Marketing, International Business, Entrepreneurship, Microeconomics, Macroeconomics, Supply Chain Management
Research Expertise: Consumer Behaviour, Digital Marketing, E-commerce, International Business, Economics, Higher Education, Quantitative Analysis
Impact Lab: Education for All
李冠贤
市场营销工商管理硕士（贝德福德）、经济学学士（西英格兰）、金融与经济学学士（泰莱）
注册发明家（IFIA，瑞士）、MCIM（英国）、CTA（菲律宾）、FMVA（美国）、MIE（美国）
李冠贤是一位多学科学者、教育者与企业家，在商学、教育与创新领域拥有卓越成绩。他以优异成绩毕业于英国西英格兰大学与泰莱大学，获金融与经济学一等荣誉学士，并取得英国贝德福德大学市场营销工商管理硕士学位。他亦拥有战略管理研究生文凭，正在攻读泰莱大学教育学研究生证书（PGCE）。同时持有金融建模与估值分析师（FMVA）、彭博市场概念（BMC）及认证技术分析师（CTA）等专业资格。
目前，他在马来亚大学（亚洲－欧洲学院）攻读市场营销博士学（PhD），研究方向涵盖马来西亚及东盟地区的消费者行为与市场策略。他的研究成果已发表于学术期刊、国际会议及多篇关于全球贸易、数字化转型与消费者趋势的评论文章中。
李冠贤是多家国际机构成员，包括英国特许营销学会（CIM）、马来西亚营销学会（IMM）、美国营销科学学会（AMS）及英国管理学会（BAM）。作为 Google、Gemini、Wayground、ClassPoint 及微软创新教育专家（MIE Expert）认证讲师，他致力于将最新的数字化工具融入教学。
在泰莱学院担任商学文凭课程讲师兼课程协调员期间，他以推动人工智能驱动、体验式与游戏化学习闻名。其教学创新屡获国内外金奖，确立了他在高等教育领域的领航地位。 他也受邀担任多项国际创新比赛的评审，彰显其在商业教育、创意与变革性教学创新方面的专业实力。除了其在学院的职务外，他还是 Galvin Lee Innovation Lab 的创办人。该创新平台致力于开发原创的 AI 驱动教育工具、沉浸式学习体验，以及具变革性的教学与学习数字解决方案。他同时拥有“注册发明家（Inv.）”称号，该称号由位于瑞士的国际发明家协会联合会（International Federation of Inventors’ Associations, IFIA）授予，彰显了他作为发明家在教育创新领域所作出的卓越贡献。
研究与教学专长：消费者行为、市场营销、国际商务、创业学、微观经济学、宏观经济学、供应链管理
研究领域：消费者行为、数字营销、电子商务、国际商务、经济学、高等教育、定量分析
影响实验室：全民教育（Education for All）
consumer behaviour e-commerce social media marketing higher education educational technology AI in education pedagogy and curriculum bibliometric studies
The intersection of social media and luxury branding presents a paradox: luxury thrives on exclusivity, while digital platforms are designed for visibility and participation. This narrative literature review synthesises studies published between 2010 and 2025 to examine how luxury brands navigate this paradox. Three key domains are explored: the role of social media in shaping brand equity, the evolving mechanisms of consumer engagement, and the digital challenges unique to the luxury sector. The review finds that while social media strengthens brand image through symbolic storytelling and aesthetic immersion, it has a more limited role in building brand awareness. Personalisation and co-creation strengthen emotional bonds and loyalty, though overuse risks prestige dilution. Technological innovations such as AR, VR, and AI offer new experiential frontiers but require alignment with the brand’s symbolic capital. This study contributes a multidimensional framework for understanding digital luxury branding and highlights managerial imperatives for balancing visibility with exclusivity. Future research is urged to explore generational and cultural variances, integrate stronger theoretical foundations, and address the tension between consumer empowerment and brand control in increasingly participatory environments.
Online consumer reviews function as trust infrastructure in e-commerce, yet the ecosystem is structurally vulnerable to manipulation. Generative artificial intelligence (GenAI) and large language models (LLMs) intensify this threat by lowering the cost of producing linguistically fluent, platform-native fake reviews, enabling paraphrase-based “review laundering,” and accelerating regeneration after takedowns. This review article provides a rapid, decision-oriented synthesis of GenAI-enabled fake reviews for marketplace researchers and practitioners. First, it establishes the pre-GenAI baseline threat model, highlighting why fake review markets persist under asymmetric information and imperfect monitoring. Second, it explains what is qualitatively different under GenAI, including cue inversion that weakens traditional text-based heuristics and the rise of paraphrased and hybrid human-AI review production. Third, it develops a GenAI-enabled attack typology and maps detection approaches by required data, strengths, and failure conditions, emphasising that text-only screening is increasingly insufficient under adversarial adaptation. Fourth, it proposes a layered “review integrity stack” that integrates policy clarity, risk-proportionate friction and provenance, multi-signal detection integrated with investigation workflows, credible enforcement, and transparency and redress. Finally, it outlines a focused research agenda that shifts the field from narrow classification performance to review integrity as a platform capability, with particular attention to emerging markets and cross-border commerce where institutional distance and multilingual variation can amplify harm. The paper offers actionable guidance for platforms and regulators seeking to preserve marketplace trust under machinegenerated persuasion.
Online consumer reviews function as trust infrastructure in e-commerce, yet the ecosystem is structurally vulnerable to manipulation. Generative artificial intelligence (GenAI) and large language models (LLMs) intensify this threat by lowering the cost of producing linguistically fluent, platform-native fake reviews, enabling paraphrase-based “review laundering,” and accelerating regeneration after takedowns. This review article provides a rapid, decision-oriented synthesis of GenAI-enabled fake reviews for marketplace researchers and practitioners. First, it establishes the pre-GenAI baseline threat model, highlighting why fake review markets persist under asymmetric information and imperfect monitoring. Second, it explains what is qualitatively different under GenAI, including cue inversion that weakens traditional text-based heuristics and the rise of paraphrased and hybrid human-AI review production. Third, it develops a GenAI-enabled attack typology and maps detection approaches by required data, strengths, and failure conditions, emphasising that text-only screening is increasingly insufficient under adversarial adaptation. Fourth, it proposes a layered “review integrity stack” that integrates policy clarity, risk-proportionate friction and provenance, multi-signal detection integrated with investigation workflows, credible enforcement, and transparency and redress. Finally, it outlines a focused research agenda that shifts the field from narrow classification performance to review integrity as a platform capability, with particular attention to emerging markets and cross-border commerce where institutional distance and multilingual variation can amplify harm. The paper offers actionable guidance for platforms and regulators seeking to preserve marketplace trust under machinegenerated persuasion.
Dear researchers, I am interested to collaborate on any studies related to consumer behaviour, e-commerce, social media marketing, higher e…