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Dr Snehasish Banerjee joined the York Management School in 2017. He holds a Doctorate (Information Studies) and a Master of Science degree (Information Systems) from Nanyang Technological University, Singapore, along with a Bachelor of Technology (Computer Science and Engineering) from West Bengal University of Technology, India.
With an interdisciplinary background, Dr Banerjee’s research focuses on the intersection between technology and human behaviour. He enjoys asking practically-motivated and theoretically-inspired questions along several inter-related research streams including but not limited to digital marketing, electronic commerce, fake news, and online user behaviour. Marrying research with teaching, he is the module leader for Digital Marketing Strategy and E-Marketing. Dr Banerjee serves on the editorial board of the journal Internet Research, and on the committee for conferences such as the International Conference on Information Management.
Exceptional Circumstances Committee
Dr Snehasish Banerjee's research explores how humans engage with technology. Under this broad theme, his works focus on a variety of topics such as:
Of late, he has started to explore the areas of cyberpsychology (eg, Cyberpsychology, Behavior, and Social Networking, 2018) and human-robot interaction (work in progress).
He has won a string of research awards including the 2014 Outstanding Paper Award from the Journal of Knowledge Management, and the 2016 Outstanding Contribution in Reviewing Award from Computers in Human Behavior.
Dr Banerjee serves on the editorial board of the journal Internet Research, and on the committee for conferences such as the International Conference on Information Management.
Banerjee, S. (2022). Exaggeration in fake vs. authentic online reviews for luxury and budget hotels. International Journal of Information Management, 62, Article 102416.
Banerjee, S. (2021). To capture the research landscape of lecture capture in university education. Computers & Education, 160, Article 104032.
Banerjee, S., & Chua, A. (2021). Calling out fake online reviews through robust epistemic belief. Information & Management, 58(3), Article 103445.
Chua, A., Pal, A., & Banerjee, S. (2021). “This Will Blow Your Mind”: Examining the urge to click clickbaits. Aslib Journal of Information Management, 73(2), 288-303.
Banerjee, S., & Chua, A. (2020). How alluring is the online profile of tour guides? Annals of Tourism Research, 81, Article 102887.
Chua, A., & Banerjee, S. (2020). The topic of terrorism on Yahoo! Answers: Questions, answers and users’ anonymity. Aslib Journal of Information Management, 72(1), 1-16.
Banerjee, S., & Chua, A. (2019). Identifying the antecedents of posts’ popularity on Facebook fan pages. Journal of Brand Management, 26(6), 621-633.
Banerjee, S., & Chua, A. (2019). Trust in online hotel reviews across review polarity and hotel category. Computers in Human Behavior, 90, 265-275.
Banerjee, S. (2018). How does the world google the Internet, anxiety, and happiness? Cyberpsychology, Behavior, and Social Networking, 21(9), 569-574
Banerjee, S. (2018). Analysis of user-generated comments posted during live matches of the Cricket World Cup 2015. Online Information Review, 42(7), 1180-1194.
Chua, A., & Banerjee, S. (2018). Intentions to trust and share online health rumors: An experiment with medical professionals. Computers in Human Behavior, 87, 1-9.
Chua, A., & Banerjee, S. (2017). To share or not to share: The role of epistemic belief in online health rumors. International Journal of Medical Informatics, 108, 36-41.
Banerjee, S., Chua, A., & Kim, J. J. (2017). Don’t be deceived: Using linguistic analysis to learn how to discern online review authenticity. Journal of the Association for Information Science and Technology, 68(6), 1525-1538.
Chua, A., & Banerjee, S. (2017). Analyzing review efficacy on Amazon.com: Does the rich grow richer? Computers in Human Behavior, 75, 501-509.
Banerjee, S., & Chua, A. (2017). Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities. Internet Research, 27(2), 321-337.
Chua, A., & Banerjee, S. (2016). Helpfulness of user-generated reviews as a function of review sentiment, product type and information quality. Computers in Human Behavior, 54, 547-554.
Banerjee, S., & Chua, A. (2016). In search of patterns among travellers’ hotel ratings in TripAdvisor. Tourism Management, 53, 125-131.
Chua, A., & Banerjee, S. (2015). Understanding review helpfulness as a function of reviewer reputation, review rating, and review depth. Journal of the Association for Information Science and Technology, 66(2), 354-362.
Banerjee, S., & Chua, A. (2014). A theoretical framework to identify authentic online reviews. Online Information Review, 38(5), 634-649. [Highly Commended Paper Award]
Chua, A., & Banerjee, S. (2013). So fast so good: An analysis of answer quality and answer speed in community question answering sites. Journal of the American Society for Information Science and Technology, 64(10), 2058-2068.
Chua, A., & Banerjee, S. (2013). Customer knowledge management via social media: The case of Starbucks. Journal of Knowledge Management, 17(2), 237-249. [Outstanding Paper Award]
Chua, A., & Banerjee, S. (2018). IT Project Failures: Lessons from the Ashes. Singapore: Pearson. [ISBN: 9789813133518]
I have shared my research with the All Party Parliamentary Group on Bullying and the Parliamentary Office of Science and Technology, UK. I am listed as an expert on Parliament’s website. My work is regularly cited in the media (for example, Human instinct can be as useful as algorithms in detecting online ‘deception’, Medics have a part to play in stopping health rumours spreading on the web).
I am happy to bounce off ideas with businesses of any size related to the use of technology and/or social media. If you have not got an online presence, I can help you create one through consultation and training. If you have one already but poor online visibility is holding your business back, I can offer tailored support to get you in front of your target customers. If these are of interest to you, please do feel free to contact me.
I have expertise in human-technology interaction and digital marketing. My research explores how businesses can make the most of their online presence while avoiding its drawbacks such as negative comments and disparaging rumours.
I have so far authored more than 50 peer-reviewed research articles on these topics, using both quantitative and qualitative methodological approaches including surveys, behavioral experiments, and analysis of social media data – which could help businesses solve challenges in this field.
I remain open to collaborating with businesses and solving their problems using my knowledge and research insights.
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