ASSESSMENT 2 BRIEF
Subject Code and Title MGT602 Business Decision Analytics
Assessment Case Study
Individual/Group Group (4-5 students)
Length Up to 3,000 words per group
Learning Outcomes SLO a Select and evaluate the usefulness of a range of decision making tools and reflect on your decision making styles and contrast with other styles to determine the respective levels of rationality and intuition utilised
SLO b Compare, contrast and critically evaluate sources of data as influences for decision-making in a range of business contexts
SLO c Examine and evaluate decision-making systems and techniques to engage group decisions and analyse how these can enhance sustainable outcomes
SLO d Critically examine emerging tools and technologies for decision making
Submission By 11:55pm AEST/AEDT Friday of Module 4.2 (Week 8)
Weighting 40%
Total Marks 40 marks
Context:
In today’s workplaces, collaborative team-work is expected. Diversity in teams is a reality , but can lead to conflict and tensions, due to lack of intercultural intelligence, dominant personalities, or poor decisions due to passivity of members who may succumb to group-think (Janis, 1972), or who may be biased and have multiple blind spots.
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 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 that demonstrates elements of diversity 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 set- how were the data collected; how valid/ representative are they; how meaningful are they?
CHECKPOINT:BY WEEK 6, PRESENT A DRAFT OUTLINE OF YOUR REPORT TO YOUR LEARNING FACILITATOR FOR FEEDBACK
How will you use these data to support your decision-making for your organisational challenge?
Select and utilise at least three different decision-making tools to support your recommendations. Do these tools support each other, or suggest alternative pathways?
How can you create a visual representation of the data patterns/ trends to inform and influence your executive team to implement the recommendations for your project? Do not simply copy and paste – you need to create your own visualisation.
Your assessment response should make use of relevant, contemporary decision models and theories, team process and group dynamics theories drawn from academic research papers and articles in support of your argument.
You need to submit as a team a case study research report that defines: the brief; the aims of your study; the scope; key research questions; team introduction and summary of team diversity; literature review on teams and decision-making; use of data analytics; source of data, rationale for use; analysis, interpretation and presentation of selected data; discussion, recommendations; so what (significance of using D-M tools and team dynamics); list of references, and appendices to include team project plan, individual team process feedback and synthesised summary agreed by all team members.
Referencing:
You must recognise all sources of information; including images that you can include in your work. Reference your work according to the APA 6th edition guidelines. See http://library.laureate.net.au/research_skills/referencing . You can also access via StudentHub@torrens.
Submission Instructions:
Submit the case study report into Turn-it-in, and wait for TII report.
Submit one case study report and presentation file with TII report for the team into Assessment 2 submission link in the Assessment section of the subject Blackboard site.
Appendix 1:
Team Participation Score Matrix
a) Individually, each team member will assign a “teamwork” score (from 1-5) to SELF and to OTHER members of the team/group using a participation score matrix. Write a short personal reflection (200 words)
b) As a team, review each team member reflection and teamwork score- give each other constructive feedback and create a synthesised summary of the team process in the decision-making project.
Grading Matrix
Member Name/ID Teamwork (1L-5H) Comments
1
SELF: Name
2
3
4
Personal reflection (200 words)
Appendix 2: Peer Evaluation Grading Scheme
Rating Group Work Description
5 • Helps establish team’s purpose, operations and set direction
• Implements strategies for enhancing team member engagement
• Brings advanced understanding of team decision making to the team’s functioning.
• Brings an understanding of the needs of individual, team, and task to completing the decision task
• Carries more than own share of the load
• Helps guide the team to effective, on time completion of the project
• Participates effectively in team’s decision making by establishing a regime of checking and testing team members’ responses, project recommendations and conclusions
4 • Facilitates team development in helping define work to be done, and setting goals
• Works to gain agreement on team roles, responsibilities, tasks and schedules
• Brings advanced understanding of team decision making to the team’s functioning.
• Brings an understanding the needs of individual team members, task and team to the completing the decision task
• Carries more than own share of the load
• Helps guide team to effective, on time completion of the project
3 • Contributes to team discussions to reach agreement on project issues
• Works together with others towards problem identification.
• Provides limited conceptual input to the analysis of data, selection of possible alternative approaches, fails to work actively working to achieving project completion.
• Carries some of the team’s workload
2 • Provides limited support to the team in making sense of the data and information available.
• Provides some inputs into team functioning. Meets a limited number of team goals. Attends most team meetings, sometime neglecting to link up with team member.
• Fails to carry own share of the loads
1 • Does not participate actively in a team environment
• Places individual goals ahead of the team and the team’s task responsibilities
• Hinders the group process and upsets the schedule
Zero • Fails to participate in team meetings and actions. Remains a social loafer and silent contributor
Learning Rubric: MGT602 Assessment 2 Case Study
Assessment Criteria Fail
(Unacceptable) 0-49% Pass
(Functional)
50-64% Credit (Proficient) 65-74% Distinction
(Advanced)
75 -84% High Distinction
(Exceptional)
85-100%
1. Apply decisionmaking systems and techniques in a group to interrogate and interpret a range of data analytics
pertinent to a relevant contemporary organisational challenge.(25% -10/40) Limited application of decision-making systems and techniques; limited use of data analytics to inform group decision relevant to a contemporary organisation.
Basic application of at least one relevant conceptual framework and one model of decision making; uses a set of data analytics pertinent to a contemporary organisational challenge.
Clear application of at least two models and frameworks for decision making, and supported by clear application of relevant data analytics for a contemporary organisational challenge.
Well-developed application of decision-making systems and techniques, with use of relevant sets of data analytics to meet specific organisational challenge
Sophisticated application of decision-making systems and techniques, with relevant sets of data analytics to meet specific organisational challenge.
2. Evaluate those
systems and techniques to support effective decisionmaking in organisations
(25% 10/40) Little or no evaluation of decision frameworks, concepts and their application in organisations Basic evaluation of decision frameworks, concepts in organisations. Clear attempt at evaluation of decision frameworks, concepts in organisations. Comprehensive evaluation of decision frameworks, concepts for effective decision-making in organisations. Sophisticated, comprehensive evaluation of decision frameworks, concepts
for effective decision-
making in organisations
3. Engage as a team to present your findings in a visual and written form that informs and influences the audience to make effective decisions in organisations
(25% 10/40) Limited evidence of engagement in teamwork dynamics for effective
data analysis and decisionmaking.
Report lacks logical coherence and clear structure, with limited visual representation of data.. Some active engagement in teamwork dynamics is evident for effective data analysis in the context of decision-making.
Report summarises main points, but many gaps in structure and content and representation of data. Consistent engagement in teamwork dynamics for effective data analysis in the context of decision-making.
Clear presentation and report that covers most parts of the requirements. Advanced engagement in teamwork dynamics for effective data analysis in the
context of decision-making’
Clear, comprehensive report, with clear visual representation of data. Systematic positive and critical engagement in the teamwork dynamics for effective data analysis and decision-making.
Sophisticated, comprehensive and engaging report, with clear visual representation of data.
4. Support your
argument with relevant contemporary literature including major resources from within the subject modules.
(25 % 10/40) No/ limited use of relevant contemporary literature including major resources from within the subject modules.
Many errors in text citations and reference list according to APA referencing guidelines.
Supports argument with relevant contemporary literature including major resources from within the subject modules, but these are not always explicit or well developed.
Several major and minor errors in text citations and reference list according to APA referencing guidelines.
Consistent use of relevant contemporary literature to support arguments including major resources from within the subject modules.
Several minor errors in text citations and reference list according to APA referencing guidelines.
Consistent use of relevant contemporary literature to support arguments including major resources from within the subject modules, and from within wider LESA business database.
Strong level of accuracy of intext citations and reference list according to APA 6th ed. style guidelines; few minor errors Sophisticated use of relevant contemporary literature to support arguments including major resources from within the subject modules, and from within wider LESA business database.
High level of accuracy of referencing according to APA 6th ed. referencing guidelines.
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