Marketing, Mobile, and Social Media Analytics

By integrating multiple sources of data, such as mobile app usage, geo-locations, and social media platforms, organisations can now target their consumers more accurately. However, extracting actionable business insights is not without its challenges.

For one, there’s the speed at which data is made available (velocity). Then, there’s the anomaly and inconsistency in data (variability). And there’s also the small matter of ill-intended or erroneous data (veracity).

So, while the relationships between consumers and businesses is closer than ever thanks to digital mobile devices and social media, there are unexpected obstacles, such as privacy issues, security risks, and technostress.

At ITOM, we explore new ways to design more effective mobile technologies, as well as organisational policies and procedures, to better manage the opportunities (and challenges) associated with mobile and social media analytics. 

  

Selected Publications

Sharon Ng, Mehak Bharti and Kim Huat Goh. Price Promotions Are Inherently More Arousing for Interdependents. 2021. Journal of Association of Consumer Research. 6(1), 67-80.

J.X. Huang, W.F. Boh and K.H. Goh (2019), “Opinion convergence vs Polarization: Examining Opinion Distributions in Online Word-of-mouth” Journal of the Association for Information Science and Technology, 70 (11), 1183-1193.

Han Gong, Huang Jianxiong and Kim Huat Goh (2019), The Illusion of Double Discounts: Using Reference Points in Promotion Framing. Journal of Consumer Psychology. 29(3), pp. 483 – 491. 

Jianxiong Huang, Wai Fong Boh and Kim Huat Goh (2019). Opinion Convergence vs Polarization: Examining Opinion Distributions in Online Word-of-Mouth. Journal of the Association for Information Science and Technology. 

Ghose, A., Kwon, H.E., Lee, D., and Oh, W. (2019) Seizing the Commuting Moment: Contextual Targeting based on Mobile Transportation Apps, Information Systems Research, 30(1), 154-174.

Choi, B., Wu, Y., Yu, J., and Land, L. (2018). Love at First Sight: The Interplay between Privacy Dispositions and Privacy Tradeoff in Online Social Connectivity Management. Journal of the Association for Information Systems, 19(3), Article 4.

J.X. Huang, W.F. Boh and K.H. Goh (2017), “A Temporal Study of the Effects of Online Opinions: Information Sources Matter,” Journal of Management Information Systems, 34(4), 1169-1202.

Wu, Y., Choi, B., Guo, X. and Chang, K. (2017). Understanding User Adaptation toward a New IT System in Organizations: A Social Network Perspective. Journal of the Association for Information Systems, 18(11), Article 2.

Jianxiong Huang, Wai Fong Boh and Kim Huat Goh (2017). A Temporal Study of the effects of Online Opinions: Information Sources Matter. Journal of Management Information Systems, 34(4), 1169-1202. 

Kwon, H.E., Oh, W., and Kim T.K. (2017) Platform Structures, Homing Preferences, and Homophilous Propensities in Online Social Networks, Journal of Management Information Systems, 34(3), 768-802. 

Choi, B., Kim, S.S., Jiang, Z. (2016). Influence of Firm’s Recovery Endeavors Upon Privacy Breach on Online Customer Behavior. Journal of Management Information Systems, 33(3), pp.904-933. 

Kwon, H.E., So H, Han S.P., and Oh W. (2016) Excessive Dependence on Mobile Social Apps: A Rational Addiction Perspective, Information Systems Research, 27(4), 919–939. 

Choi, B., Jiang, Z., Xiao, B. and Kim, S.S. (2015). Embarrassing Exposures in Online Social Networks: An Integrated Perspective of Privacy Invasion and Relationship Bonding. Information Systems Research, 26(4), pp.675-694.