HRM70304 Managing People for Performance Assessment 3 September 2025
University | Taylor's University (TU) |
Subject | HRM70304: Managing People for Performance |
ASSESSMENT SUBMISSION DECLARATION FORM
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Dear Students,
Taylor’s University/College upholds the highest standards of academic integrity. Students must complete their work honestly and ethically, ensuring that all submitted assessments reflect their own understanding and efforts. Any form of academic misconduct, including but not limited to plagiarism, collusion, contract cheating, falsification, and unauthorised use of Gen AI tools, is strictly prohibited and will be subject to disciplinary action in accordance with university regulations.
In this form, there are two (2) sections namely: Section 1 Instruction on the use of Generative Artificial Intelligence (to be completed by the module leader) and Section 2 Student Acknowledgement and Declaration (to be completed, signed and submitted by the students together with their assessment).
Students are responsible for properly acknowledging all sources, tools, and external contributions in their work. Misuse of AI-generated content, failure to attribute sources, or engagement in dishonest practices may result in penalties ranging from warnings to expulsion, as outlined in the Student Handbook.
This Assessment Submission Declaration Form is attached to the assessment brief. Students are required to complete the Assessment Submission Declaration Form in any piece of work submitted at Taylor’s University/College, except for assessments completed and submitted in controlled environments. For group assessments, each member of the group must complete an Assessment Submission Declaration Form.
SECTION 1: INSTRUCTION ON THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE FOR THIS ASSESSMENT
The section below is to be completed by the module leader, i.e. module leader is to put a ‘v’ in the relevant checkbox.
Students are allowed to use Gen AI as stipulated by lecturers in the assessment brief: 1. Use lecturer-approved Gen AI tools only for certain parts of an assessment (e.g. brainstorming, proofreading etc.) or the entire assessment. 2. Use Gen AI for specific purposes only, such as generating drafts, refining language, or conducting exploratory analysis, but not for creating final outputs or core analytical tasks.
You are allowed to use Gen AI tools in any way you find appropriate for the task, provided you acknowledge and explain their usage. This emphasises transparency, critical engagement, and ethical practices. Where Gen AI tools have been used, you must attach your chat history and an appendix listing the prompt used, the output generated by the generative AI tools, how the output was used and the pages where the AI-generated content can be found as per the table below:
The Gen AI-generated content must be appropriately cited and referenced. Any work submitted using AI tools without proper citation and referenced will be treated as though it was plagiarised.
Assessment is conducted under controlled environments (final exams, practical assessment without written assignment etc). Students are to complete the task independently, without the assistance of Gen AI tools. Where Gen AI tools have been used, you must attach your chat history and an appendix listing the prompt used, the output generated by the generative AI tools, how the output was used and the pages where the AI-generated content can be found as per the table below:
The Gen AI-generated content must be appropriately cited and referenced. Any work submitted using AI tools without proper citation and referenced will be treated as though it was plagiarised. |
INFORMATION ON PENALTIES RELATING TO ACADEMIC MISCONDUCT
Any student found to have engaged in academic misconduct, including but not limited to plagiarism, falsification, contract cheating, or improper AI usage, will be subject to disciplinary action. Penalties may include but are not limited to plagiarism, falsification, contract cheating, or improper AI usage, and will be subject to disciplinary action. Penalties may include but are not limited to:
The penalties that can be imposed on a student who is found to have engaged in academic misconduct include, but not limited to: · Counseling or cautioning. · Awarding zero marks for the assignment. · Failing the module. · Suspension from enrollment at Taylor’s University/College. · Expulsion from Taylor’s University/College. For full details, refer to the Student Handbook. |
INFORMATION ON INVESTIGATION PROCESS REGARDING SUSPECTED MISUSE OF GENERATIVE ARTIFICIAL INTELLIGENCE TOOLS
If an assignment is suspected of improper AI use or other academic integrity violations, the university will follow the official Academic Integrity Investigation Process, which includes:
a) Initial Assessment-The lecturer assesses inconsistencies in writing style, AI detection reports, or academic dishonesty concerns. b) Filing of Report -A Report on Academic Misconduct (THE-ACA-FORM-AINT) is submitted to the Academic Integrity Officer (AIO). c) Review & Evidence Collection – The AIO compiles relevant materials, including previous submissions, Turnitin reports, and AI usage logs. d) Student Explanation – The student may be required to provide additional evidence of their work process, including drafts and source materials. e) Disciplinary Review – The Student Disciplinary Committee (SDC) will determine penalties if misconduct is confirmed f) Final Decision & Notification – The student receives formal notification of the decision, and records are updated accordingly. For full details, refer to the Student Handbook. |
SECTION 2: STUDENT ACKNOWLEDGEMENT AND DECLARATION
(*This section is to be completed by students. Students must submit the completed and signed copy of this form together with their assessment)
Acknowledgment by the student
When Gen AI is allowed to be used, acknowledgement of how Gen AI is used can be included as follows: (Place a tick ‘ ’ in the checkbox where relevant)
The use of GenAI has to be referenced appropriately according to the referencing style as required:
*Please refer to the latest referencing style. Declaration I confirm that: a) I understand what constitutes academic integrity violations, including plagiarism, collusion, fabrication, falsification, contract cheating, and improper use of Gen AI. b) I confirm that my work or any part of this assessment has neither been previously and is not concurrently submitted for any other programme at Taylor’s University or any other institution, save except when re-use of the same work is permitted by the module leader. c) I acknowledge that using Gen AI or any external assistance without proper attribution constitutes academic misconduct and may be sanctioned accordingly. d) I understand that if there are indications of academic integrity breaches, including improper Gen AI use, my work will be subject to investigation. e) This assignment is my own work, and I have properly acknowledged all sources, tools, and external contributions, including the use of Gen AI where applicable. f) I also understand that if there is any indication of inappropriate use of generative AI in my assignment, I may be required to, for instance, attend an oral presentation to justify my work as part of the review process. g) I acknowledge and authorize the submission and/or storage of my work in a database for the purpose of verifying its originality and/or conducting tests using artificial intelligence software, and I hereby consent to this process. h) I acknowledge that this submission is subject to Taylor’s University/College Academic Integrity Procedure (THE-ACA-PROC-AINT) and all applicable university regulations.
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Date |
Part A
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Requirements of Referencing | Appendix
to be Referred
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Marks |
Question 1.A | Referencing is required | Not applicable
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4 marks
(Refer to marking rubrics for details) |
Question 2.A | Referencing is required | Not applicable
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16 marks
(Refer to marking rubrics for details) |
Question 3.A | Referencing is required | Not applicable
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20 marks
(Refer to marking rubrics for details) |
Case study
“A Yahoo Employee-Ranking System Favored by Marissa Mayer is Challenged in Court”
One of Marissa Mayer’s signature policies as chief executive of Yahoo has been the quarterly performance review, in which every employee at the company is ranked on a scale of 1 to 5. The ratings have been used to fire hundreds of employees since Ms. Mayer joined the company in mid-2012.
Now, as Ms. Mayer prepares to announce a streamlining plan on Tuesday that is likely to involve even more job cuts, one former manager who lost his job is challenging the entire system as discriminatory and a violation of federal and California laws governing mass layoffs.
In a lawsuit filed in Federal District Court in San Jose, Calif., on Monday, Gregory Anderson, an editor who oversaw Yahoo’s autos, homes, shopping, small business and travel sites in Sunnyvale, Calif., until he was fired in November 2014, alleges that the company’s senior managers routinely manipulated the rating system to fire hundreds of people without just cause to achieve the company’s financial goals.
Mr. Anderson said the cuts, including what his boss said was the firing of about 600 other low-performing Yahoo employees at the time of his termination, amounted to illegal mass layoffs.
Under California law, the layoff of more than 50 employees within 30 days at a single location like Yahoo’s Sunnyvale headquarters requires an employer to give workers 60 days of advance notice. A similar federal law, known as the Worker Adjustment and Retraining Notification Act, requires advance notice for a layoff of 500 or more employees.
Yahoo has never provided such notices. But it did cut 1,100 employees over a period of months in late 2014 and early 2015, ostensibly for performance reasons.
Mr. Anderson’s suit provides a peek inside Yahoo’s controversial quarterly performance review system, which Ms. Mayer adopted on the recommendation of McKinsey & Company, a management consulting company. Similar systems were once widely used in corporate America, and companies like Amazon.com still employ analogous methods.
But others, like General Electric and Microsoft, have dropped such rankings as a tool for routine firings because of their corrosive effect on productivity and employee morale.
At Yahoo, the program, known internally as Q.P.R., has been a sore spot among managers and employees since it began. The court filing said that managers were forced to give poor rankings to a certain percentage of their team, regardless of actual performance. Ratings given by front-line managers were arbitrarily changed by higher-level executives who often had no direct knowledge of the employee’s work. And employees were never told their exact rating and had no effective avenue of appeal.
“The Q.P.R. process was opaque and the employees did not know who was making the final decisions, what numbers were being assigned by whom along the way, or why those numbers were being changed,” the lawsuit says. “This manipulation of the Q.P.R. process permitted employment decisions, including terminations, to be made on the basis of personal biases and stereotyping.”
Mr. Anderson said that in his case, he had received high ratings and a promotion before taking a leave of absence in the summer of 2014 to study at the University of Michigan on a Knight-Wallace Fellowship. Although the fellowship leave was approved by two top Yahoo executives, Kathy Savitt and Jackie Reses, who have since left the company, Mr. Anderson said that his boss’s boss, Megan Liberman, called him on Nov. 10 to inform him that he was in the bottom 5 percent of the company’s work force, all of whom were being fired.
In the suit, Mr. Anderson said he was fired for several reasons unrelated to performance. He said he had complained to management about the impact of the Q.P.R. process on the people he supervised and had reported an attempted bribe management by one employee who wanted him to reduce another employee’s rating.
He also alleged gender discrimination, claiming that the media group, which was overseen by Ms. Savitt and Ms. Liberman, systematically favored women in hiring, promotions and layoffs.
Question 1.A
Quality of definition
Work Required: Define the term ‘Organizational Justice’ and its three categories —Distributive Justice, Procedural Justice, and Interactional Justice. While you should express the definitions of these categories in your own words, be sure to include citations for the sources you reference, specifying the author’s name and year of publication.
In preparing your answers, please pay attention to the following aspects: quality of sentencing and grammar, usage of clear structure, relevance of your justifications complete with references.
Type your answer here (Indicative word count: approximately 250 words |
Reference List:
Insert ALL reference list here
Question 2.A
Identifying accurate misconducts
Work Required: Following your reading of the case study, what ethical misconduct could Yahoo have committed if Anderson’s accusation was true? You are required to provide one misconduct for each of the following categories: Distributive justice, Procedural justice, and Interactional justice. The misconducts provided should be relevant and placed in the appropriate category. You are required to justify how the misconducts fit the selected category, using relevant citations to support your answer.
In preparing your answers, please pay attention to the following aspects: quality of sentencing and grammar, usage of clear structure, relevance of your justifications complete with references.
Type your answer here (Indicative word count: approximately 600 words |
Reference List:
Insert ALL reference list here
Question 3.A
Quality of discussion
Work Required: Illustrate four (4) aspects of the performance management system inclusive of the company processes you would like to reinvent at Yahoo based on the information in the case study and information from the module. Additionally, for each aspect, you are expected to provide at least one (1) real world example of a company known for its effective performance management system or a relevant theory.
In preparing your answers, please pay attention to the following aspects: quality of sentencing and grammar, usage of clear structure complete with introduction, body, and conclusion along with correct in-text citation and reference list formatting.
Type your answer here (Indicative word count: approximately 1000 words |
Reference List:
Insert ALL reference list here
-END-
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