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Dr Tim Low

Senior Lecturer

Dr Wee Thiam Low (Tim), a senior lecturer in digital marketing at Leeds Business School, is an experienced marketing expert specialising in consumer decision-making, virtual influencers, AI-driven innovation, disruptive digital strategies, e-branding, and digital optimisation and analytics.

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About

Dr Wee Thiam Low (Tim), a senior lecturer in digital marketing at Leeds Business School, is an experienced marketing expert specialising in consumer decision-making, virtual influencers, AI-driven innovation, disruptive digital strategies, e-branding, and digital optimisation and analytics.

Dr Wee Thiam Low, known as Tim, is a senior lecturer at Leeds Business School, awarded a PhD in Marketing in 2021. His research interests span digital and traditional marketing, focusing on consumer decision-making, virtual influencer marketing, AI-driven innovation, disruptive digital strategies, e-branding, and digital optimisation and analytics.

Before transitioning to academia, Tim was a social media and branding specialist at Media Prima, Malaysia’s largest media and entertainment conglomerate, where he developed tailored marketing strategies to drive growth, enhance brand visibility, and optimise online presence. He also served as an art director at Saatchi & Saatchi Malaysia, a leading global advertising agency, where he managed clients such as Guinness, Toyota, and Unilever, crafting global marketing strategies to improve market reach and coverage. With extensive experience as a freelance coach and strategic consultant, Tim is committed to driving innovation and providing actionable insights that empower organisations to achieve their digital marketing objectives and ensure long-term success.

Tim brings extensive practical knowledge and experience into the classroom, helping students understand and apply theory and practice in the digital sphere. Dedicated to nurturing students' talents and strengths, he was especially proud when one of his students, under his guidance, won the prestigious Adobe Digital Edge Award 2023.

Tim teaches various modules within digital marketing and is actively involved in supervising research projects at PhD, DBA, Masters, and undergraduate levels. He has successfully supervised DBA students to completion and supported Masters students in attending conferences and working towards submitting their research papers for publication.

Tim is an ad hoc reviewer for the European Journal of Marketing and Psychology & Marketing. He welcomes PhD applications relevant to his research areas.

Research interests

Tim's research interests span digital and traditional marketing, focusing on:

  • Consumer decision-making
  • Virtual influencer marketing
  • AI-driven innovation
  • Disruptive digital strategies
  • E-branding
  • Digital optimisation and analytics.

Publications (3)

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Conference Contribution

Influences of product and situational involvement on cyber consumer decision-making styles

Featured 10 February 2023 2023 AMA Winter Academic Conference Nashville, Tennessee American Marketing Association (AMA)
AuthorsLow W, Zhu X, Swainston K, Taylor J
Conference Contribution

An Exploration of Millennials' Attitudes Towards the Use of Artificial Intelligence Chatbots for Customer Service within E-commerce Platforms

Featured 17 May 2024 International Conference on Business, Management and Leadership Proceedings of the International Conference on Business, Management and Leadership Liverpool, UK Diamond Scientific Publishing
AuthorsUddin MN, Low W, Rahman MA, Mokhtar S

The research aims to identify the determinants impacting millennials' adoption intention towards AI-powered chatbots in eCommerce customer service. This quantitative study employed a survey instrument to collect data from 113 millennials, utilizing a convenience sampling approach. The well-established Technology Acceptance Model (TAM) served as the foundation, extended to incorporate trust and social influence alongside perceived usefulness and ease of use. Linear regression analysis tested the hypothesized relationships. The findings reveal a significant positive influence of all four factors (PU, ease of use PU, PEOU, trust, and SI) on millennials' intention to utilize AI chatbots. Trust emerged as the most impactful determinant. The study's generalizability might be limited due to the sample size and recruitment method.  Future research should consider a more diverse sample encompassing socio-cultural, technical, and socioeconomic factors. E-commerce companies can leverage these findings to optimize their AI chatbots for customer service and achieve greater adoption among millennials.  Strategies include prioritizing trust-building mechanisms, harnessing social influence, enhancing the perceived usefulness of the chatbot's functionalities, and ensuring user-friendly interfaces. This research contributes to narrowing the knowledge gap by investigating factors influencing millennials' adoption of AI chatbots in eCommerce customer service.

Conference Contribution

Cyber consumer decision-making styles: a qualitative approach

Featured 10 July 2019 7th International Conference on Contemporary Marketing Issues Heraklion, Crete, Greece
AuthorsLow W, Zhu X, Swainston K, Taylor J

Current teaching