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Information and Knowledge Management using ArcGIS ModelBuilder

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Magdeline Mashilo <strong>and</strong> Tiko Iyamu<br />

groups instead of the university’s interest. Culture was a barrier to knowledge sharing because by<br />

people resisting change as other employees of different races continued to be disadvantaged. Staff<br />

with expertise in the different departments within the university sometimes intimidated new staff with<br />

their capabilities <strong>and</strong> knowledge.<br />

Job security<br />

Experts within departments were insecure about their job for the future. They believed that vigorous<br />

younger employees would take over their jobs <strong>and</strong> they might be forced to take early retirement. They<br />

were not prepared for that.<br />

The behaviour of some of the managers was influenced by their racial <strong>and</strong> cultural affiliations. Many<br />

employees could get away with so many things including manipulating the system, which their nonwhite<br />

counterparts could not get away with.<br />

Technology<br />

<strong>Knowledge</strong> sharing reduces the inefficiencies of searching the World Wide Web <strong>and</strong> retrieving on-line<br />

information. University intranet had a quick link to activities <strong>and</strong> processes for easy access. As a<br />

result, processes <strong>and</strong> activities were linked to be informative. These documents informed employees<br />

on how to perform their individual <strong>and</strong> group functions. Other staff members needed someone to take<br />

them through the process. Employees used intranet or internet to convey information to fellow<br />

colleagues including students.<br />

Through technology, knowledge sharing becomes the key to successful collaborative work <strong>and</strong> early<br />

intervention to help students <strong>and</strong> employees including the academic staff to execute their<br />

assignments <strong>and</strong> tasks. ZU depended on technology to facilitate services to its clients to produce<br />

excellent results. Students were encouraged to take computer literacy courses to enable them to<br />

access electronic resources. These resources were readily available.<br />

Documentation<br />

Documents in the department have been replaced overpowered by the use of electronic resources,<br />

such as emails, telephones <strong>and</strong> face book. Recently at ZU communication between a lecturer <strong>and</strong><br />

students is done via face book. The library has introduced e-communication for to the librarians. Most<br />

of the time information is not documented.<br />

The next section presents the interpretation of the case study.<br />

5. Interpretation of the results from the case studies<br />

The results from the case study, Cheetah University of Technology (CUT) were interpreted. The<br />

interpretation focuses on the factors which influence knowledge sharing at the university. These<br />

factors (context, awareness, value, content, experiment, repository <strong>and</strong> change) as depicted in Figure<br />

1 below are described as follows:<br />

Context<br />

<strong>Knowledge</strong> was defined, acquired, shared <strong>and</strong> applied in the context of the departments, divisions<br />

<strong>and</strong> the university at large. However, some of the employees acquired knowledge which was not<br />

necessary to perform their tasks. Even though some of these employees tried to share the<br />

knowledge, colleagues could often not relate to it, therefore, it was sometimes misinterpreted.<br />

Awareness<br />

The lack of trust in the CUT <strong>and</strong> job insecurity ZU were caused by ignorance. Since the new<br />

dispensation, no employees have lost their jobs, <strong>and</strong> no students or staff has been harmed. Yet,<br />

these factors continue to derail sharing of knowledge <strong>and</strong> information.<br />

Organisational Value<br />

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