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ACM Transactions on Management Information Systems (TMIS) - WITS 2015 Special Issue, Volume 8 Issue 2-3, August 2017

Section: WITS 2015 Special Issue

Introduction to WITS 2015 Special Issue in TMIS
Sudip Bhattacharjee, Varghese Jacob, Zhengrui (Jeffrey) Jiang, Subodha Kumar
Article No.: 4e
DOI: 10.1145/3108899

Resolving Ambiguity in Sentiment Classification: The Role of Dependency Features
Shuyuan Deng, Atish P. Sinha, Huimin Zhao
Article No.: 4
DOI: 10.1145/3046684

Sentiment analysis has become popular in business intelligence and analytics applications due to the great need for learning insights from the vast amounts of user generated content on the Internet. One major challenge of sentiment analysis, like...

Discovering Design Principles for Health Behavioral Change Support Systems: A Text Mining Approach
Mohammad A. Al-Ramahi, Jun Liu, Omar F. El-Gayar
Article No.: 5
DOI: 10.1145/3055534

Behavioral Change Support Systems (BCSSs) aim to change users’ behavior and lifestyle. These systems have been gaining popularity with the proliferation of wearable devices and recent advances in mobile technologies. In this article, we...

Business-to-Consumer Platform Strategy: How Vendor Certification Changes Platform and Seller Incentives
Can Sun, Yonghua Ji, Bora Kolfal, Ray Patterson
Article No.: 6
DOI: 10.1145/3057273

We build an economic model to study the problem of offering a new, high-certainty channel on an existing business-to-consumer platform such as Taobao and eBay. On this new channel, the platform owner exerts effort to reduce the uncertainty of...

Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry
Konstantin Bauman, Alexander Tuzhilin, Ryan Zaczynski
Article No.: 7
DOI: 10.1145/3052931

This article presents a novel approach to detecting emergency events, such as power outages, that utilizes social media users as “social sensors” for virtual detection of such events. The proposed new method is based on the analysis of...

Development and Evaluation of a Similarity Measure for Medical Event Sequences
Michael Mannino, Joel Fredrickson, Farnoush Banaei-Kashani, Iris Linck, Raghda Alqurashi Raghda
Article No.: 8
DOI: 10.1145/3070684

We develop a similarity measure for medical event sequences (MESs) and empirically evaluate it using U.S. Medicare claims data. Existing similarity measures do not use unique characteristics of MESs and have never been evaluated on real MESs. Our...

The Role Clarity Framework to Improve Requirements Gathering
Atefeh Taghavi, Carson Woo
Article No.: 9
DOI: 10.1145/3083726

Incorrect and incomplete requirements have been reported as two of the top reasons for information systems (IS) project failures. In order to address these concerns, several IS analysis and design studies have focused on understanding the business...

Apriori Rule--Based In-App Ad Selection Online Algorithm for Improving Supply-Side Platform Revenues
Anik Mukherjee, R. P. Sundarraj, Kaushik Dutta
Article No.: 10
DOI: 10.1145/3086188

Today, smartphone-based in-app advertisement forms a substantial portion of the online advertising market. In-app publishers go through ad-space aggregators known as Supply-Side Platforms (SSPs), who, in turn, act as intermediaries for ad-agency...