International Journal of Man-Machine Studies
ACM Transactions on Computer-Human Interaction (TOCHI)
Marketing information on the I-Way: data junkyard or information gold mine?
Communications of the ACM
Architecture, design, and development of an HTML/JavaScript web-based group support system
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Microcomputer Applications in Qualitative Research
Microcomputer Applications in Qualitative Research
Using Computers in Qualitative Research
Using Computers in Qualitative Research
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
Understanding qualitative data: a framework of text analysis methods
Journal of Management Information Systems - Special section: Strategic and competitive information systems
What makes consumers buy from Internet? A longitudinal study of online shopping
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Investigating Group Structure in CSCL: Some New Approaches
Information Systems Frontiers
How are we searching the world wide web?: a comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Exploring the influence of perceptual factors in the success of web-based spatial DSS
Decision Support Systems
When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry
Journal of Management Information Systems
Customer Satisfaction with Electronic Service Encounters
International Journal of Electronic Commerce
International Journal of Human-Computer Studies
An integrative approach to assess qualitative and quantitative consumer feedback
Electronic Commerce Research
Exploring Qualitative Sharing Practices of Social Metadata: Expanding the Attention Economy
The Information Society
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Understanding the Economic Potential of Service-Oriented Architecture
Journal of Management Information Systems
Web analytics and metrics: a survey
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Vehicle defect discovery from social media
Decision Support Systems
Concept comparison engines: A new frontier of search
Decision Support Systems
What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings
Decision Support Systems
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The volume of qualitative data (QD) available via the Internet is growing at an increasing pace and firms are anxious to extract and understand users' thought processes, wants and needs, attitudes, and purchase intentions contained therein. An information systems (IS) methodology to meaningfully analyze this vast resource of QD could provide useful information, knowledge, or wisdom firms could use for a number of purposes including new product development and quality improvement, target marketing, accurate "user-focused" profiling, and future sales prediction. In this paper, we present an IS methodology for analysis of Internet-based QD consisting of three steps: elicitation; reduction through IS-facilitated selection, coding, and clustering; and visualization to provide at-a-glance understanding. Outcomes include information (relationships),knowledge (patterns), and wisdom (principles)explained through visualizations and drill-down capabilities. First we present the generic methodology and then discuss an example employing it to analyze free-form comments from potential consumers who viewed soon-to-bereleased film trailers provided that illustrates how the methodology and tools can provide rich and meaningful affective, cognitive, contextual, and evaluative information, knowledge, and wisdom. The example revealed that qualitative data analysis (QDA) accurately reflected film popularity. A finding is that QDA also provided a predictive measure of relative magnitude of film popularity between the most popular film and the least popular one, based on actual first week box office sales. The methodology and tools used in this preliminary study illustrate that value can be derived from analysis of Internet-based QD and suggest that further research in this area is warranted.