Category: Business and management

English Technical & Business Writing

A. Create a needs assessment plan to analyze the organizations training needs and recommend a training strategy by doing the following:

1. Explain how you would assess the organizations training needs for the newly acquired floor agents.

2. Conduct a strengths, weaknesses, opportunities, and threats (SWOT) analysis of the companys training needs for the floor agents by doing the following:

a. Identify one strength that is internal to the organization.

i. Explain how the strength affects training needs and outcomes for the floor agents.

b. Identify one weakness that is internal to the organization.

i. Explain how the weakness affects training needs and outcomes for the floor agents.

c. Identify one current opportunity that is external to the organization.

i. Explain how the opportunity affects training needs and outcomes for the floor agents.

d. Identify one current threat that is external to the organization.

i. Explain how the threat affects training needs and outcomes for the floor agents.

3. Describe how one learning theory would inform the development of the training program.

a. Identify two strategies from the chosen learning theory for shaping the learning outcomes of the training program.

4. Describe one legal obligation the employer in the scenario has for the training program, according to one of the following laws:

Americans with Disabilities Act (ADA) of 1990

Title VII of Civil Rights Act of 1964

Age Discrimination in Employment Act 1967

Assignment Requirements

As an ExEL course, a reflection on your experience is required. Take a moment to reflect upon your experience in this class, specifically exploring the subjects we have explored, exercises and group activities conducted, assignments completed, and the Team Project. I have provided a template below with headings you should follow and questions you should address.

All written assignments in this course must have at least one textbook citation and one external source citation.

THREE PARTS to this assignment

TITLE PAGE NOT NEEDED

please Label each section UNIT 5, 6 and 7

1.

Unit 5: Noise Part 3

FIRST PART****

In chapters 9 through 12, the authors discuss evidence comparing the accuracy of statistical judgements to professional judgements and then describe objective ignorance and living in the ‘valley of the normal.’ In an initial discussion post of at least 250 words, address this prompt:

While it is well known that professional judgements are often flawed and produce worse expected outcomes on average than judgements that rely solely on statistics or rules, why is it that the myth of managerial intuition persists? Why do some managers insist on making decisions based on their gut instincts rather than analytical evidence?

On page 158, the authors state that causal thinking and the illusion of understanding the past contribute to overconfident predictions of the future…and contributes to neglect of noise as a source of error. Do you fall into this pattern? How do we convince decision makers to not do this?

2.

UNit 6 Noise Part 4

SECOND PART ****

In Part IV of Noise, the authors go into more detail regarding the sources of noise and how we can further separate the components of noise.

In Chapter 17 the authors discuss their conclusion that the largest component of noise is pattern noise (not level noise) and that stable pattern noise (not occasion noise) accounts for most of pattern noise. Were you surprised by this conclusion? Do you agree or disagree with their analysis? Why is this important for the coming discussion of how to address noise in judgements?

The other major conclusion of this section relates to causal versus statistical thinking. As the authors have illustrated several times, humans tend to think causally (we create stories that explain why things happen). Noise, on the other hand, is statistical. Why does a focus on causal thinking lead us to miss the importance of noise?

3.

THIRD PART****

Unit 7: Noise Part 5, Chapters 18-21

Part V of Noise is rather long, we are are breaking it up into two chunks. In chapters 18-21, the authors begin discuss how to improve judgements (considering selection of better judges and reducing bias) and provide two extended examples of noise reduction strategies.

In an initial discussion post of at least 250 words, address this prompt:

In chapter 19, the authors describe ex post and ex ante processes for reducing biases in judgements. Have you been involved in a decision-making situation that applied any of these methods? If so, please describe it and discuss its effectiveness. If not, describe how such a process could be applied to a decision-making situation with which you are familiar (if you cant think of any from your work, etc. consider how we could reduce bias in grading term papers at the university).

While we are discussing biases, in chapter 20, the authors discuss the case where fingerprint experts admit that bias exists in their profession; however, most felt that they personally were not subject to bias (see pages 255-6). This is the cognitive bias known as blind spot bias. How can we combat blind spot bias?

Making data-driven decisions is a key step to achieving the Business Function/Processes and Strategic Planning MBA program learning outcomes as well as a very sought-after professional competency across all industries. The World Economic Forum lists Complex Problem Solving as the most important skill for thriving in the age of the Fourth Industrial Revolution we are going through, and Judgment and Decision Making as a top-ten skill (Gray, 2016). Using data analytics to inform your decisions and solve problems gives you many advantages, such as the ability to explore and compare alternatives, to test your own assumptions and come up with an objective solution, and to gather convincing evidence in support of your proposals. This assignment provides you the opportunity to experiment with all data analyses covered in the course, demonstrate sophisticated comprehension of each method and ultimately – to celebrate your improved decision-making through data analytics.

Summary

For this project you need to think of an opportunity or challenge your organization or department is currently facing and ask a management question to address it. You will also need to collect data that is relevant to your question and analyze it; thus, it is important to focus on a topic you can investigate through available to you data. Examples of organizational opportunities include: increase market share, reach out to new customers, attract talent, expand product/service portfolio, serve customers more efficiently, etc. Examples of organizational challenges include: profit loss, customer loss, high turnover rate, non-attractive compensation and benefits package, etc. You can build a dataset for the assignment either by collecting/using data from your organization or by downloading an existing dataset (refer to the Resources Folder posted under week 1 for ready to use datasets and links to others).

Step-by-step Directions

1. Articulate Your Management Question (1-2 slides)
2. Identify one management opportunity for improving your organization (or department) or one challenge it is facing. Explain why it is important to address it.
3. State your opportunity/challenge as a management question.
4. Collect Data (1 slide)
5. Find a dataset that is relevant to your management question. You can use data from a free dataset (refer to Week 1 Resources Folder for available data, links to free online data and tips for searching online for data). Introduce your dataset and describe it.
6. Choose 4 variables that you are interested in and copy-paste them in a new Excel file, which you will work on for the rest of the assignment. Make sure that at least two of the variables are quantitative so you can run all the required analyses.
7. Explain your choice of 4 variables; explicitly argue how each is related to your management question.
8. Describe Your Data (2-5 slides)
9. Identify the type of each variable and describe how they are measured.
10. Describe each of the 4 variables in your dataset by finding their (1) mean, (2) median, (3) mode, (4) range (5) quartiles.
11. Explain thoroughly what the descriptive statistics tell you about each of the variables.
12. Decide which measure(s) of central tendency represent your variables most accurately and why. These will be the measures you will use for your final argumentation.
13. Visualize Your Data (2-5 slides)
14. Choose a method to visualize your variables (e.g. pie chart, bar chart, segmented bar chart, stacked bar chart, histogram, frequency table, boxplot, time series plot)
15. Explain the motivation of your choice.
16. Visually present each of your 4 variables.
17. Formulate a Hypothesis and Test It (1slide)
18. Hypothesize a relationship between two of the variables in your dataset. Build an argument about the association you foresee and support it with a minimum of 2 academic articles.
19. Run a hypothesis testing analysis.
20. Describe your results and elaborate on them: Do the results confirm your prediction? If yes, what conclusion can you make? Do they reject your prediction? If yes, how can you explain the result? Your argument should be founded in both analytics – population, sample, variables, procedures, and research – what we already know about the hypothesized relationship.
21. Draw a conclusion on how the hypothesis tests inform your decision on your management question.
22. Run a Linear and Multiple Regression Analyses (2 slides)
23. Run a linear regression analysis between two of your variables. Interpret the results.
24. Run a multiple regression analysis using all 4 of your variables. Explain which is the dependent variable in your analysis and why. Interpret the results.
25. Elaborate how the multiple regression improves your understanding of the data compared to your linear regression.
26. Draw conclusions about your management question based on your regressions.
27. Build Your Argument and Propose Recommendations (1-2 slides)
28. Build a comprehensive argument about your management question referring to the conducted analyses.
29. Make two recommendations for further action in regards to your management question, e.g. emphasize the need for additional analysis or propose a specific action step.
30. Attach all your data analyses in an Excel file, which includes:
31. 1 spreadsheet with the raw data of the four variables in your dataset
32. 1 spreadsheet with all five descriptive statistics for each of the four variables
33. 1 spreadsheet with the visualization of each of the four variables
34. 1 spreadsheet with the hypothesis test
35. 1 spreadsheet with the linear and multiple regression analyses

References:

Gray, A. (2016, January 19). The 10 skills you need to thrive in the Fourth Industrial Revolution. Retrieved from:

Prompt: Describe your personal worldview using the structure and questions suggested by Sire in The Universe Next Door. Then analyze the case provided in Appendix E. In your analysis, select one of the four stakeholders in the company and discuss how that persons particular worldview will influence the way that they approach the problem and the recommendation that they will make regarding the companys dilemma. Then, briefly compare or contrast your worldview with the worldview of the selected stakeholder. Requirements: Minimum 3500 words in length. APA compliant, with at least 8 references in addition to the Bible and course texts.

This is a group assignment. Here are the instructions but the part that i added is highlighted and my reference , please refine , review and add what can make my part impactful . i attached the assignment instructions the Walt disney case and team assignment we have worked on only modify the highlisted part which is my contribution

i will need in-text referencing and reference list all made in Harvard style.