By David Skyrme
Many businesses are embracing wisdom administration as a resource of strategic virtue. yet already individuals are asking: "what comes next?" Likewise virtually each huge association is seriously interested in e-commerce and turning their businesses into e-businesses. in the meanwhile such a lot e-commerce is concentrated on promoting conventional services throughout the new medium of the web. although, the extra a firm evolves into an e-business, the extra they could take advantage of wisdom flows among themselves and their industry. This ebook attracts jointly the 2 strands of data and e-business into the rising box that this ebook has referred to as k-business. A k-business is one who turns an organization's wisdom resources into wisdom services and products and makes use of the web to marketplace and carry them on-line. regardless of its newness, the Delphi staff have forecast that inside five years person-to-person info e-commerce (a significant point of k-business) might be a $5 billion enterprise leveraging $50 billion in revenues of different services and products. Capitalizing on wisdom goals to offer pros and executives early insights into tips to advance winning k-businesses. It takes a severe and balanced view of the development blocks of a k-business together with wisdom productizing, e-commerce enablers and online marketing. It attracts on classes from successes and screw ups within the dot.com panorama and of the early pioneers of data markets. The writing sort engenders curiosity and clarity supported by means of diagrams, reveal photographs, fee lists and frameworks. There are 'points to consider' to stimulate considering and decision-making. 5 case reviews and over 50 illustrative examples supply insights into the applying of the book's suggestions. No different publication brings all of the parts of a k-business jointly in a single position to supply a suggestion scary but useful better half if you are looking to capitalize on their wisdom. Demonstrates how the overlap of the 2 excessive profile strands of e-business and data administration is growing new k-business opportunitiesDescribes new enterprise versions for advertising and marketing wisdom over the InternetProvides sensible guidance for packaging wisdom and taking part in wisdom markets.
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Additional resources for Capitalizing on Knowledge: From E-Business to K-Business
For example, facilities for building expertise directories and knowledge thesauruses are found in knowledge management software suites. 17 Technology plays an important part in almost every knowledge initiative, but problems of implementation are widespread. 18 Even so, most knowledge managers agree that technology is not their major challenge. Typical of their views is the following comment: `10 per cent of my challenges are technological; 20 per cent are concerned with content and processes; 70 per cent are people-related'.
There are many apocryphal (and true) stories along the lines of a problem solving expert (ranging from a plumber to a lawyer) who spends a short time on a job yet charges much more than would be expected from the time spent. A typical anecdote is that of a chemical engineer who for a few hours' work charged his client $10 000 to diagnose and ®x a problem. ' If downtime on continuous operations in a process plant costs $1 million a day in lost production, and an expert has unique knowledge that will get it back on stream within hours rather than days, then $10 000 represents excellent value for money.
There are knowledge champions throughout the business. A well-developed information and communications infrastructure ± the `hard' infrastructure. At the physical level, there must be reliable and responsive access to the 10 . . Capitalizing on Knowledge corporate network, from any work location. Knowledge sharing is then facilitated through organization-wide deployment of collaborative technology, such as an intranet and facilities for managing online communities. In addition, some groups will need more speci®c computer-based knowledge tools such as decision support systems and case-based reasoning.