Subject to the External Examiner’s approval and may be subject to changeLUBS179501

This question paper consists

of 5 printed pages, each is

identified by the Code Number

LUBS1795

© UNIVERSITY OF LEEDS

(Semester 2, 2024/2025)

Assessed Coursework

1.

LUBS1795 The Contemporary Business Environment

100% Assignment

Assignment Details: 100% of this module is assessed via coursework. In 2,500 words

you are required to produce an analytical report on a company of your choice who are

on the London Stock Exchange or New York Stock Exchange (except for Apple, Croda,

and M&S; do NOT select these as I am going to use them heavily in class as examples).

Using four out of the six topics introduced in the module, critically evaluate the company

against those criteria, and decide whether you would buy shares in it. In doing so, you

will actively incorporate gen AI and critically evaluate its suggestions.

This assignment is categorised GREEN for use of GenAI: the use of material generated

by Artificial Intelligence (GenAI) is a required component of this assignment, in the

manner articulated in the brief. Note that you MAY NOT use GenAI to write the sections

required to be written by yourself.

Please make sure you follow university policy by using Microsoft CoPilot on campus (or

whilst logged into campus VPN) so that your work is protected under our license.

Please take the following steps:

1.Ask gen AI if it would buy shares of the company of your choice in respect to the

four selected topics out of six.

e.g., would you buy shares of company A considering its macro and micro

business environment?

Feel free to modify the questions you ask to increase the quality of the answer

you get.

a.Repeat the same step for the remaining three topics, while changing the

prompt accordingly. For example, the next question you may want to ask gen

AI would be, for example, if you chose the ‘measures of success’: would you

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buy shares of company A considering its financial performance?

2.Start building your report by using the answers given by gen AI. You are allowed

to copy and paste the answers from AI with proper citation

(https://library.leeds.ac.uk/referencing-examples/9/leeds-harvard/1187/

generative-artificial-intelligence ), but you need to decide which part of the

answer will be included (you may want to focus on what is more relevant to the

course materials/flowing well with your argument). For better quality (e.g., better

flow, smooth transitioning), you may want to add your own words.

3.I assume now you have four sections of your report ready with the help of gen AI.

a.Move these four AI-based sections to Appendix [It is NOT included in

2,500 words]

b.Pick TWO among these four topics that you want to investigate further. In

Appendix, briefly explain why you selected these two specific areas.

4.Re-write analysis of these two areas in your own words. You MAY NOT use Gen

AI assistance to help write the content of all of the sections (Infographic

executive summary, introduction of the company, two re-written areas, and two

reflections).

For the final report (including in 2,500 words), on top of Infographic executive

summary and a brief introduction of the company, you will have four sections

consisting of (a) two re-written areas and (b) two reflections for each of the re-

written areas.

(a)To re-write 2., you may want to take a critical approach and consider the

following points, but more:

If gen AI is mentioning some events or facts, did they really occur or are

relevant? If the information is not specific, make it specific (e.g., what

specific regulations? what specific legal challenges?), identify sources. If

gen AI provided some sources, cross-check those by reading the content.

What written by gen AI is accurate/correct based on what we learnt in this

module/discussed in course materials? If the information turns out to be

accurate, try to strengthen the argument (e.g., Are there any points highly

relevant to the selected topic but not mentioned by gen AI? Is there

anything that you want to add to strengthen the argument?). If it is not,

identify the part deemed to be inaccurate and amend it with supporting

evidence.

Always keep in mind why you are doing the analysis of your company: to

decide whether you would buy shares in it. Your conclusions should align

with the analysis of your assignment company and consistent throughout.

Your report will detail your analysis and explain your investment decision.

(b)After each of re-written areas, add a section that includes your personal

reflection on your re-writing process/experience. That means, you will have a

section of a re-written area followed by a section of your reflection on re-

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writing that specific area (x2). In doing so, you may want to consider the

following points, but more: What did you do to make the quality of the AI-

written answer better? What did AI do particularly well or poorly? What would

you do if you were at work and using AI to write a report? What did you learn

throughout?

Format: The report should be written in a business rather than an academic style, and

can include headings, subheadings, and bullet points. It can also make use of the visual

presentation of data via images, graphs, tables, and infographics. It should be concise,

readable, and professionally presented.

Word count: The word count for this assignment is 2,500 words. As with other

assignments, you can go under the word count, but you cannot go over it. The word

count is deliberately low. This is to encourage you to think about how to convey

information as concisely as possible.

The word count includes everything except for the assignment title, front cover, contents

page (if you choose to include one), the reference list, and appendices. Words in

graphs/images count, as do the citations for these.

Submission date: The deadline for your report to be submitted on Turnitin is

Wednesday 14

th

May 2025 at 12.00 Noon.

Use of Generative AI (GREEN category):

Specifically, in this assignment, the required GenAI component is output from your four

topic-related prompts, that should be placed in the appendix. Use Co-Pilot to generate

these sections. This exercise requires that you reflect seriously on what you want to

achieve (and what is superfluous), in order to create accurate and appropriate prompts

to Co-Pilot. You must check over Co-Pilot’s output and amend and reflect when you do

your re-writing of two of the sections. As well as reflecting on your aims, it is a good

opportunity to develop skills of GenAI use, reflexive practice and editing.

Specifically for the rest of the assignment, you MAY NOT use GenAI assistance to

help write the content of all of the sections (Infographic executive summary, introduction

of the company, two re-written sections, and two reflection sections). As these test the

learning outcomes of the module, it’s important to demonstrate what you can do. These

sections must all be created by you, and reflect your own thinking and learning.

You MAY use GenAI (if you wish) for help background research and in improving your

expression in English. These tasks are necessary to complete the assignment, but are

not specifically part of the marking. Note you may NOT ask Co-Pilot to create content or

write things for you, other than the tasks specified above.

Also remember that you retain responsibility for what you hand in; Co-Pilot is susceptible

to errors, so always check over anything where you’ve used GenAI, and reference every

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instance of GenAI use in your assignment.

Finally, please note that these instructions are particular to this assignment. Other

assignments will have different instructions for which parts you may and may not use

GenAI for. Not all Green assignments will be the same.

Remember to reference your use of GenAI as well as your literature sources.

https://generative-ai.leeds.ac.uk/ai-and-assessments/acknowledging-use-of-ai/

Assignments should be a maximum of 2,500 words in length.

All coursework assignments that contribute to the assessment of a module are subject to a word limit,

as specified on the assessment brief. The word limit is an extremely important aspect of good

academic practice, and must be adhered to. Unless stated otherwise in the relevant module

handbook (if one has been provided), the word count includes EVERYTHING (i.e. all text in the main

body of the assignment including summaries, subtitles, contents pages, tables, supportive material

whether in footnotes or in-text references) except the main title, reference list and/or bibliography and

any appendices. It is not acceptable to present matters of substance, which should be included in the

main body of the text, in the appendices (“appendix abuse”). It is not acceptable to attempt to hide

words in graphs and diagrams; only text which is strictly necessary should be included in graphs and

diagrams.

You are required to adhere to the word limit specified and state an accurate word count on the cover

page of your assignment brief. Your declared word count must be accurate, and should not mislead.

Making a fraudulent statement concerning the work submitted for assessment could be considered

academic malpractice and investigated as such. If the amount of work submitted is higher than that

specified by the word limit or that declared on your word count, this may be reflected in the mark

awarded and noted through individual feedback given to you.

The deadline date for this assignment is 12:00:00 noon on Wednesday 14

th

May 2025.

An electronic copy of the assignment must be submitted to the Assignment Submission area within the

module resource on the Blackboard MINERVA website no later than 12:00:00 noon prompt on the

deadline date.

Faxed, emailed or hard copies of the assignment will not be accepted.

Failure to meet this initial deadline will result in a reduction of marks, details of which can be found at

the following place:

https://students.business.leeds.ac.uk/assessment/code-of-practice-on-assessment/

SUBMISSION

Please ensure that you leave sufficient time to complete the online submission process, as upload

times can vary. Accessing the submission link before the deadline does NOT constitute completion of

submission. You MUST click the ‘CONFIRM’ button before 12:00:00 noon for your assignment to be

classed as submitted on time, if not you will need to submit to the Late Area and your assignment will

be marked as late. It is your responsibility to ensure you upload the correct file to the MINERVA, and

that it has uploaded successfully.

It is important that any file submitted follows the conventions stated below:

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MITIGATING CIRCUMSTANCES

If you are affected by circumstances that will have a short-term impact on your ability to

complete coursework assessments (for example a minor illness), you can make an

application for an extension to a coursework deadline. Please note, all extension requests

must be made prior to the original assessment deadline. To read more about this process

please click here - https://students.business.leeds.ac.uk/student-support/mitigating-

circumstances-extensions-and-additional-consideration/

FILE NAME

The name of the file that you upload must be your student ID only.

ASSIGNMENT TITLE

During the submission process the system will ask you to enter the title of your submission. This

should also be your student ID only.

FRONT COVER

The first page of your assignment should always be the Assessed Coursework Coversheet (individual),

which is available to download from the following location:

https://students.business.leeds.ac.uk/forms-guidance-and-coversheets/

STUDENT NAME

You should NOT include your name anywhere on your assignment

END

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