ASSESSMENT 2 requires you to design your own organisational research project:
1. Apply decision-making systems and techniques in a group to interrogate and interpret a range of data analytics pertinent to a relevant contemporary organisational challenge.
2. Evaluate those systems and techniques to support effective decision-making in organisations
3. Engage as a team to present your findings in a visual, oral and written form that informs and influences the audience to make effective decisions in organisations
4. Support your argument with relevant contemporary literature including major resources from within the subject modules.
With guidance from your facilitator, form a team of 4-5 classmates by week 4. Diversity considerations may include: ethnicity; gender; learning styles; personality; decision-making preferences; work experience; first degrees; level of study (just starting/ almost finished); strengths; technical skills; values.
In the first 1-2 weeks, share your stories, and diversity, and summarise these in a table. Review what elements support high performing teams, and how each team member will support the project.
Prepare a project plan, and maintain records of meetings, actions (who/what/how/when). On a weekly basis, upload key points into your group space in Blackboard, and contribute to each weekly discussion forum as a team.
As a team, brainstorm project decision-making challenges you have experienced in the workplace, and which challenge you want to focus on to demonstrate effective decision-making as a team. Imagine you hold key roles in a medium-large size organisation. You will need to nominate your roles, and explain the operating context of the organisation (industry, location, size, products/ services/ organisation. Challenges may relate to understanding your target market for the launch of a new product/ service; recruiting highly qualified staff; acquisition/ merger; operations; manufacturing; logistics; information systems.
You will need to access a large publicly available data set relevant to your organisational challenge
(Government Census/ polls/ surveys/ Google analytics). You will need to interrogate this data sethow were the data collected; how valid/ representative are they; how meaningful are they?
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