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ASPECTS OF TOTAL QUALITY MANAGEMENT APPLIED IN ...

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Annals of the University “Constantin Brâncuşi”of Tg-Jiu, No. 1/2008, Volume 2,<br />

ISSN: 1842-4856<br />

and tertiary communication protocols and will ease knowledge transportation. The ultimate goal of<br />

laying out knowledge is to avoid gaps that force groups in the organization to operate in a vacuum<br />

that doesn't allow them to consider information that exists in their midst. This leads to costly<br />

duplication of efforts.<br />

Knowledge transportation<br />

Knowledge is abundant in almost all organizations. The main issue is how to get it from<br />

producer to consumer.<br />

Consider the issues when there is a lack of connection between people in an organization. It is not<br />

uncommon to find the situation in which a U.S.-based marketing agent pitches a product that cannot<br />

be feasibly built by the production staff in Asia. Why? Simply because the knowledge about system<br />

design and development was not transported effectively and efficiently to the marketing agent.<br />

Because global outsourcing is widespread, such blunders are common in information system<br />

designs and maintenance engagements.<br />

Another transportation problem exists in organizations when there is no clear protocol about<br />

which medium should be used to transfer knowledge. Ad hoc and inconsistent approaches are<br />

pervasive in organizations. Some knowledge gets transferred using computerized systems, some is<br />

transferred via formal personal mechanisms such as training and job rotation, and some gets across<br />

through informal personal mechanisms such as the grapevine. Most people are at a loss when it<br />

comes to deciding which path to request knowledge from and which path should be used for<br />

transmitting their own knowledge. The cost of confusion makes knowledge management inefficient<br />

and highly unsuccessful in organizations.<br />

An additional issue is that of timing. Should knowledge be pushed to individuals or should<br />

they pull it from central sources? Disagreements or lack of clear protocols will result in either<br />

famine or abundance, neither of which is optimal. In every organization, some knowledge is<br />

ignored because there is no agreement on the path, medium, and timing of transfer.<br />

IEs have training in logistics and scheduling problems; much of it is applied to movement of<br />

digital goods and the scheduling of jobs on factory floors. These insights can be brought to bear on<br />

the knowledge transportation problem. IEs can aid an organization by studying the routing and<br />

movement of knowledge to determine the efficient mechanisms for connecting people.<br />

While striving for efficiency, we can't forget effectiveness, which is critical in designing for<br />

redundancy What happens if a knowledge communication path breaks? What will be the alternative<br />

route? Knowledge about scheduling will also be salient. The IE literature is abundant in scheduling<br />

algorithms based on the characteristics of goods and the environment, it is unwise to transport<br />

perishable goods by land or sea unless the source of such produce is in close proximity. Similarly,<br />

certain types of knowledge need to be transported quickly, while others can wait. The study of these<br />

dynamics will uncover useful suggestions about how to design appropriate mediums and timing<br />

schemes for knowledge transfer.<br />

Knowledge maintenance<br />

Most often, a knowledge management system is developed and then left alone. This leads<br />

to the system going astray and eventually becoming unusable. When a corporate intranet portal is<br />

commissioned, for example, knowledge nuggets are properly classified, efficient search<br />

mechanisms are put in place, and the system is usable. As time passes, the system degrades into a<br />

state of disorganization. Knowledge nuggets get thrown into the wrong places and are classified<br />

improperly. Several versions of the same knowledge object reside in the repository. If the material<br />

captured is factually sound and relevant, no rigorous checking takes place on information posted to<br />

the system. As a result, there is continuous error correcting and knowledge updating.<br />

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