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ACM Transactions on Management Information Systems (TMIS), Volume 3 Issue 3, October 2012

Business Intelligence and Analytics Education, and Program Development: A Unique Opportunity for the Information Systems Discipline
Roger H. L. Chiang, Paulo Goes, Edward A. Stohr
Article No.: 12
DOI: 10.1145/2361256.2361257

“Big Data,” huge volumes of data in both structured and unstructured forms generated by the Internet, social media, and computerized transactions, is straining our technical capacity to manage it. More importantly, the new challenge is...

Who is Retweeting the Tweeters? Modeling, Originating, and Promoting Behaviors in the Twitter Network
Palakorn Achananuparp, Ee-Peng Lim, Jing Jiang, Tuan-Anh Hoang
Article No.: 13
DOI: 10.1145/2361256.2361258

Real-time microblogging systems such as Twitter offer users an easy and lightweight means to exchange information. Instead of writing formal and lengthy messages, microbloggers prefer to frequently broadcast several short messages to be read by...

Credit Rating Change Modeling Using News and Financial Ratios
Hsin-Min Lu, Feng-Tse Tsai, Hsinchun Chen, Mao-Wei Hung, Shu-Hsing Li
Article No.: 14
DOI: 10.1145/2361256.2361259

Credit ratings convey credit risk information to participants in financial markets, including investors, issuers, intermediaries, and regulators. Accurate credit rating information plays a crucial role in supporting sound financial decision-making...

Using a Network Analysis Approach for Organizing Social Bookmarking Tags and Enabling Web Content Discovery
Wei Wei, Sudha Ram
Article No.: 15
DOI: 10.1145/2361256.2361260

This article describes an innovative approach to reorganizing the tag space generated by social bookmarking services. The objective of this work is to enable effective search and discovery of Web content using social bookmarking tags. Tags are...

Do Vendors’ Pricing Decisions Fully Reflect Information in Online Reviews?
Nan Hu, Hasan Cavusoglu, Ling Liu, Chenkai Ni
Article No.: 16
DOI: 10.1145/2361256.2361261

By using online retail data collected from Amazon, Barnes & Nobel, and Pricegrabber, this paper investigates whether online vendors’ pricing decisions fully reflect the information contained in various components of customers’ online...