Human information interaction (HII) is an emerging area of study that investigates how people interact with information; its subfield human information behavior (HIB) is a flourishing, active discipline. Yet despite their obvious relevance to the design of information systems, these research areas have had almost no impact on systems design. One issue may be the contextual complexity of human interaction with information; another may be the difficulty in translating real-life and unstructured HII complexity into formal, linear structures necessary for systems design.
While we have been preoccupied with the latest i-gadget from Apple and with Google’s ongoing expansion, we may have missed something: the fundamental transformation of whole firms and industries into giant information-processing machines. Today, more than eighty percent of workers collect and analyze information (often in digital form) in the course of doing their jobs.
Today on almost every desk in every office sits a computer. Eighty years ago, desktops were equipped with a nonelectronic data processing machine: a card file. In Paper Machines, Markus Krajewski traces the evolution of this proto-computer of rearrangeable parts (file cards) that became ubiquitous in offices between the world wars.
This comprehensive introduction to modeling business-information systems focuses on business processes. It describes and demonstrates the formal modeling of processes in terms of Petri nets, using a well-established theory for capturing and analyzing models with concurrency. The precise semantics of this formal method offers a distinct advantage for modeling processes over the industrial modeling languages found in other books on the subject.
Libraries have existed for millennia, but today the library field is searching for solid footing in an increasingly fragmented (and increasingly digital) information environment. What is librarianship when it is unmoored from cataloging, books, buildings, and committees? In The Atlas of New Librarianship, R. David Lankes offers a guide to this new landscape for practitioners.
The ability to manage knowledge has become increasingly important in today’s knowledge economy. Knowledge is considered a valuable commodity, embedded in products and in the tacit knowledge of highly mobile individual employees. Knowledge management (KM) represents a deliberate and systematic approach to cultivating and sharing an organization’s knowledge base. It is a highly multidisciplinary field that encompasses both information technology and intellectual capital.
All day, every day, Americans seek information. We research major purchases. We check news and sports. We visit government Web sites for public information and turn to friends for advice about our everyday lives. Although the Internet influences our information-seeking behavior, we gather information from many sources: family and friends, television and radio, books and magazines, experts and community leaders.
Knowledge in digital form offers unprecedented access to information through the Internet but at the same time is subject to ever-greater restrictions through intellectual property legislation, overpatenting, licensing, overpricing, and lack of preservation. Looking at knowledge as a commons--as a shared resource--allows us to understand both its limitless possibilities and what threatens it.
Given the abundance of open education initiatives that aim to make educational assets freely available online, the time seems ripe to explore the potential of open education to transform the economics and ecology of education.
Cartographic maps have guided our explorations for centuries, allowing us to navigate the world. Science maps have the potential to guide our search for knowledge in the same way, allowing us to visualize scientific results. Science maps help us navigate, understand, and communicate the dynamic and changing structure of science and technology—help us make sense of the avalanche of data generated by scientific research today.