Call us

International Finance

Assessment Information – What you need to do

This assignment is an individual assignment. This assignment requires you to critically discuss the below question

• Does firms’ innovation always improve firms’ performance?

Criteria for Assessment – How you will be marked

Further information on University mark descriptors can be found here. This assignment is designed to assess the following learning outcomes:

• To identify and assess the nature and sources of change and its impacts on organisations, government and the society at large,

• To evaluate innovation as a major source of change and its organisational and institutional determinants.

• To evaluate how organisations effectively manage the innovation process and illustrate how this contributes to their performance

• To develop your academic and employability skills (e.g. collaborative working, spoken and written communication skills, referencing skills) (Graduate Global Competency 1 & 2).
This document is for De Montfort University use and should not be passed to third parties or posted on any website.

Assignment Brief Template Page 2 of 4

Assessment Details The word count is 1250 words. There will be a penalty of a deduction of 10% of the mark for work exceeding the word limit by 10% or more.

The word limit includes tables, figures, quotations and citations, but excludes the references list and appendices.

How to Submit your Assessment The assessment must be submitted by 12:00 noon (GMT/BST) on 07/12/2023. No paper copies are required. You can access the submission link through the module web.

• Your coursework will be given a zero mark if you do not submit a copy through Turnitin. Please take care to ensure that you have fully submitted your work.

• Please ensure that you have submitted your work using the correct file format, unreadable files will receive a mark of zero. The Faculty accepts Microsoft Office and PDF documents, unless otherwise advised by the module leader.

• All work submitted after the submission deadline without a valid and approved reason will be subject to the University regulations on late submissions.

o If an assessment is submitted up to 24 hours late the mark for the work will be capped at the pass mark of 40 per cent for undergraduate modules or 50 per cent for postgraduate modules

o If an assessment is submitted beyond 24 hours late the work will receive a mark of zero per cent

o The above applies to a student’s first attempt at the assessment. If work submitted as a reassessment of a previously failed assessment task is submitted later than the deadline the work will immediately be given a mark of zero per cent

o If an assessment which is marked as pass/fail rather than given a percentage mark is submitted later than the deadline, the work will immediately be marked as a fail

• The University wants you to do your best. However, we know that sometimes events happen which mean that you can’t submit your coursework by the deadline – these events should be beyond your control and not easy to predict. If this happens, you can apply for an extension to your deadline for up to five working days, or if you need longer, you can apply for a deferral, which takes you to the next assessment period (for example, to the re-sit period following the main Assessment Boards). You must apply before the deadline for your assessment. You will find information about applying for extensions and deferrals here.

• Students MUST keep a copy and/or an electronic file of their assignment.

• Checks will be made on your work using anti-plagiarism software and approved plagiarism checking websites.
This document is for De Montfort University use and should not be passed to third parties or posted on any website.

Assignment Brief Template Page 3 of 4

Return of Marked Work You can expect to have feedback returned to you on 05/01/2023 (15 working days). If for any reason there is a delay you will be kept informed. Marks and feedback will be provided online. It is important that you access the feedback you receive as this will help to make improvements to your later work, you can request a meeting with your Module Leader or Personal Tutor to discuss your feedback in more detail. Marks will have been internally moderated only, and will therefore be provisional; your mark will be formally agreed later in the year once the external examiner has completed their review. More information on assessment and feedback can be found here.

Academic Integrity In submitting a piece of work for assessment it is essential that you understand the University’s requirements for maintaining academic integrity and ensure that the work does not contravene University regulations. Some examples of behaviour that would not be considered acceptable include plagiarism, re-use of previously assessed work, collusion with others and purchasing your assignment from a third party. For more information on academic offences, bad academic practice, and academic penalties, please read chapter four of our academic regulations. Generative AI tools cannot be used for this assessment. You must not use generative artificial intelligence (AI) to generate any materials or content in relation to your assessment. Any use of generative AI needs to be appropriately acknowledged. Students should add a statement explaining which technologies were used, how they were used and how this output was then used to complete the assignment. Direct use of outputs should be cited.

Examples of a student acknowledgement statement are shown below: Statement of acknowledgment 1 – generative AI used when module leader allows it.

I have used (list all AI system (s) used and links e.g., Google’s Bard, to (provide details of how you have used generative artificial intelligence e.g., to breakdown some of the concepts taught on the module). The prompt (s) I have used are (include the prompt (s) e.g., you are an enthusiastic tutor who is also an experienced economist, help me understand the concept of game theory with explanations and examples). What was generated from these prompts was used to (explain how they were used in your submission, e.g., develop a section on game theory exemplars).

Statement of acknowledgment 2 – generative AI not used when module leader allows it.

This assessment has not used any generative-AI.

You can find the library guide on generative AI use here –

Both comments and pings are currently closed.

Comments are closed.

Powered by WordPress | Designed by: Premium WordPress Themes | Thanks to Themes Gallery, Bromoney and Wordpress Themes