Essay or a case analysis of the Google Case with regards to gender issues (provided) (1)

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School
San Francisco State University **We aren't endorsed by this school
Course
COM MISC
Subject
Communications
Date
Nov 14, 2023
Pages
6
Uploaded by SuperFieldRaven12 on coursehero.com
Assignment Type: Essay (any type) Service: Writing Pages/Words: 6 pages / 1650 words (Double spacing) Education Level: University Language: English (US) Your Deadline: Feb 27, 19:00 Assignment Topic: Essay or a case analysis of the Google Case with regards to gender issues (provided) Subject: Gender studies Citation Style: APA 7th edition Instructions Professors instructions: Midterm Assignment Details • You will be writing an essay or a case analysis of the Google Case • Using ideas from the assigned readings, course content and Google case, analyze the state of diversity at Google, identify the problems, assess what they are currently doing when it comes to D&I, and develop a set of recommendations to solve the problems. • The focus is NOT James Damore or Free Speech. Please do not write about Free Speech! • You do not need any external sources (do not use Google's current D&I work or stats, focus ONLY on what is in the case). • Assignment should be 6 pages, double spaced, standard margins, and submitted on e-Class
prior to the start of Week 7 class on February 27th. • All course materials until and including Week 7 is relevant for the midterm. Introduction • Body o Part A: what are Google's diversity and inclusion problems related to gender and race? o Part B: what are the issues contributing to these problems? o Part C: what is Google doing to try to rectify their diversity and inclusion problems? o Part D: what solutions do you recommend Google implement to fix their diversity and inclusion problems? • Conclusion Part A: What are the problems? • Must discuss both gender and race • Identify the problems (look ALL AROUND the organization. Hint: use data) • Support your arguments/substantiate your claim with data (don't reference figures, put the actual data in the body of your paper!) • Data can and should be quantitative—i.e. % of groups AND qualitative—i.e. what people who work at Google are saying about xyz • Connect the patterns you see in the data to the course concepts • Explain why these are problems, what are the implications • ONLY USE DATA FROM THE GOOGLE CASE! Part B: What are the issues contributing to these problems? • Link what is in the Google Case to course concepts • Use concepts, arguments, and ideas from articles and course materials and make sure you explain what they are and how they show up at Google-i.e. if you discuss the
glass ceiling you must explain what the term means and provide examples of how it exists at Google from the case. • All articles should be cited properly (APA or MLA is fine). • Think about what is happening within Google and how it mimics broader patterns of inequality in organizations as well how other ideas and concepts we've discussed in class show or are manifesting up at Google Midterm Structure Part C: What is Google doing to try to rectify these problems? • What strategies or initiatives do they have in place? Be specific! • How does what they are doing connect to the problems you've identified? • Important Question to Answer: • Do you think their diversity and inclusion efforts are working? Why or why not? • Substantiate your reasoning with data—i.e. increases or decreases in data over time can indicate if something is working/not working, etc. Midterm Structure Part D: How should Google fix these problems? • Solutions should clearly connect to the problems you identified in Part A. • Explain what your recommendations are. You should have at least three. • Why and how do you think your recommendation will solve the problems? • There are some examples of solutions in the Case Study, please do not repeat these-- you should integrate your own ideas from class discussions and articles. Midterm Requirements Part A: Accurately and clearly identify gender and racial diversity problems at Google. Substantiate claims with data and connect problems to course concepts, articles, or ideas from Google Case. Part B: Provide evidence-based explanations for what is contributing to Google's problems, leveraging the Google Case, course concepts, and other class materials.
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