Robert
O. Briggs is a Research Coordinator at the Center for the Management of
Information at the University of
Gert-Jan de Vreede is a Professor at the Department of
Information Systems and Quantitative Analysis at the
Jay F. Nunamaker Jr. is Regents and Soldwedel Professor of
MIS, Computer Science and Communication, and Director of the Center for the
Management of Information at the
Ralph H. Sprague Jr. is a Professor and Chairman of the
Department of Information Technology in the
What information consumes is rather obvious: It consumes the attention of its recipients . . . Human attention is the scarcest resource.
—Herbert A. Simon, economist, Nobel Prize winner
The digital age has given
The first paper in this issue addresses the question of permanence. Alan R. Heminger and Don M. Kelley address concerns about the permanent loss of valuable data stored in digital archives when the means and methods used to retrieve the bitstream become obsolete. In their paper, “Assessing the Digital Rosetta Stone Model for Long-Term Access to Digital Documents,” the authors report the results of a Delphi assessment among subject-matter experts of the Digital Rosetta Stone, a conceptual model for capturing and maintaining the methods necessary to retrieve digital information stored on obsolete media and to properly interpret it after the software used to create it may also be obsolete. The paper reveals limitations and concerns about the model, and calls us to action with respect to this critically important topic.
The next two papers offer novel approaches to improving information access on the World Wide Web. Weiguo Fan, Michael D. Gordon, and Praveen Pathak offer a new approach to using genetic algorithms to rank order the results of a Web search in their paper, “Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search.” The approach exploits both structure and content information from the Web. Their research suggests that the new algorithm outperformed several other well-known ranking algorithms.
In their paper, “A Visual Framework for Knowledge Discovery on the Web: An Empirical Study of Business Intelligence Exploration,” Wingyan Chung, Hsinchun Chen, and Jay F. Nunamaker Jr. propose two new algorithms for reducing information overload among people seeking information on the Web. They report the results of empirical experiments that compare the new algorithms with conventional Web search mechanisms, and demonstrate the relative merits of each approach.
The final three papers in this issue address issues of information access and deployment within specific information-intensive domains. Two of them seek to improve the lot of cancer patients. The paper, “Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients,” by Leonid Churilov, Adyl Bagirov, Daniel Schwartz, Kate Smith, and Michael Dally, reports on a new approach that improves on previous methods for assigning prostate cancer patients to homogenous groups to support clinical treatment decisions. The correct classification of risk informs choices about whether or not to apply invasive therapies, which often bring multiple serious side effects. The improvement in risk classification afforded by this new approach may have a direct effect on the length and quality of life for cancer patients.
Jan Marco Leimeister, Winfried
Ebner, and Helmut Krcmar report on field studies to analyze the information and
interaction needs of cancer patients, and then describe the creation of a pilot
mobile virtual community for cancer patients in
The paper, “Negotiation in Technology Landscapes: An Actor-Issue Analysis,” by Samuel Bendahan, Giovanni Camponovo, Jean-Sébastien Monzani, and Yves Pigneur propose a new model for supporting stakeholders in large-scale negotiations in environments of high complexity and uncertainty, and then detail a new system based on that model. The system includes new visualization tools for analyzing negotiation outcomes, representing negotiation landscapes, and applying what-if simulations using passive influence, expected outcome and dissatisfaction, power distribution, proximity, and negotiation maps. The model and its associated tools are illustrated in the application of assessing a public WLAN market.
Each of these papers makes a unique contribution to knowledge in the area of information access and deployment. We commend them to your readings.