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Bernard C. Y. Tan
Researcher at National University of Singapore
Publications - 145
Citations - 11916
Bernard C. Y. Tan is an academic researcher from National University of Singapore. The author has contributed to research in topics: Information system & The Internet. The author has an hindex of 44, co-authored 139 publications receiving 10859 citations.
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Journal ArticleDOI
Mobile gaming
TL;DR: Tens of millions of users worldwide play games, as well as make phone calls, on their cell phones and other handheld devices.
Proceedings Article
Innovation Diffusion Theory as a Predictor of Adoption Intention for Financial EDI
TL;DR: Findings permit financial EDI operators to shape their marketing strategies to encourage adoption by showing that present adoption intention is dependent on complexity, operational risk, and strategic risk to a greater extent, and relative advantage and observability to a lesser extent.
Journal ArticleDOI
MSIS 2016: Global Competency Model for Graduate Degree Programs in Information Systems
Heikki Topi,Helena Karsten,Susan A. Brown,João Álvaro Carvalho,Brian Donnellan,Jun Shen,Bernard C. Y. Tan,Mark F. Thouin +7 more
TL;DR: This document, "MSIS 2016: Global Competency Model for Graduate Degree Programs in Information Systems", is the latest in the series of reports that provides guidance for degree programs in the Information Systems (IS) academic discipline.
Journal ArticleDOI
What Motivates Contributors vs. Lurkers? An Investigation of Online Feedback Forums
TL;DR: A model to explain the antecedents of both contributors’ and lurkers’ participation deriving from public participation and information technology-enabled public goods theories is developed and reveals significant differences in the participation antecedent of the two groups as hypothesized.
Proceedings Article
Advertising effectiveness on social network sites: an investigation of tie strength , endorser expertise and product type on consumer purchase intention
TL;DR: Investigation of the impact of three critical factors on advertising effectiveness of different types of product endorser on SNSs - tie strength, endorser expertise, and product type indicate that, for hedonic products endorsed on S NSs, strong-tie endorsers are more effective than weak-tie endorseers, regardless of their expertise on the endorsed products.