MGT602 Business Decision Analytics

Scenario A

 

Is set in a mid-sized Australian organisation of 800 people, 80 of whom are involved in research, development and design (R, D &D) work. The organisation is keen to identify the innovative/creative capabilities held by their RD&D staff and use these capabilities to differentiate the business from their competitors. The organisation has set up a project to research R, D & D innovative/creative capabilities held tacitly by staff and in their unstructured communication. Tacit information can be best accessed and converted to knowledge by accessing email -based communication between RD&D staff. RD&D staff members’ emails and their rates and direction of connectivity have accordingly been mapped over a one-week period. The results of this research audit have been made available on the attached Map of R, D & D unstructured Information contained in emails.

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Assessment 3 Scenario A Data The map identifies each staff member and the work station they have logged onto, by node (circle with a number inside). Rates of connectivity are shown by lines connecting the different nodes and the direction and intensity of traffic by the numbers of lines into/out of nodes. The project will call for interpretation of the map and decisions made on who to bring together to discuss the content and collaborate in making tacit unstructured information drawn from emails explicit and therefore suitable for use by the organisation. Several ‘meeting rooms’ will be made available to selected RD&D staff, each with a facilitator, visual aids and a groups decision support system to link and summarise up meeting room outputs. This project will make use of a group-based communication technology system to support meetings between staff members and help make staff members’ tacit data/information explicit. To facilitate this process resources available in each meeting room will guide group process and ensure that each meeting room’s participants collaborate with one another, and with groups in other meeting rooms in generating explicit knowledge. 

 

 After considering the map constructed from 70+ company staff members’ emails over a oneweek period you are required to help make sense of the tacit data held in those emails  You should start by identifying naturally occurring clusters of R, D & D staff. Number those clusters one to six and show the nodes (numbered staff and terminals) you have decided to include in each cluster  Move to the next step of selecting two key members (use rates of inter connectivityconnecting lines) from each of the clusters to attend the meeting areas and work with facilitators and GDSS technology in generating explicit knowledge  Identify each cluster from one to six and show each cluster’s constituents. In the table below. 

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