代做BCPM0054: MANAGING INNOVATION IN PROJECT-BASED FIRMS AND MEGAPROJECTS代写数据结构语言程序

2024-06-17 代做BCPM0054: MANAGING INNOVATION IN PROJECT-BASED FIRMS AND MEGAPROJECTS代写数据结构语言程序

BCPM0054: MANAGING INNOVATION IN PROJECT-BASED FIRMS AND MEGAPROJECTS

1. Introduction:

This document includes important information regarding your summative assessment. Please read this document in full and refer to it while preparing your assignment.

This coursework has five parts, with a weighting of (10, 30, 30, 20, 10), marked on a scale of 100.

Please note that this is an INDIVIDUAL coursework.

2. Assessment Brief:

Please select an existing project-based firm or megaproject in the UK or worldwide (preferably in the context of built environment, construction or infrastructure industry). Critically discuss how the selected project-based firm or megaproject address the government narrative about the need for innovation.  

Your paper is expected to be theoretically informed, applying innovation-related concepts that you have learnt in the class (e.g. innovation narrative, innovation capability, innovation process, innovation champions/leaders).  

You are required to submit a fully referenced coursework of 2,500 words (excluding diagrams, references and appendices). This requires you to critically review a significant range of relevant academic literature (including fields of project management, innovation management), relevant industry and companies’ reports, and to present an analysis in logical flow of arguments.

Please create your own title for the essay.

Please use Harvard referencing style.  

3. Use of AI:

The following category of AI can/cannot be used:  

             Category 1 – AI cannot be used.

          X   Category 2 – AI tools can be used in an assistive role.

             Category 3 – AI has an integral role.

For examples of each category please go to Using AI tools in assessment

Category 2 - Students are permitted to use AI tools for specific defined processes to support the development of specific skills as required by the assessment, such as data analysis, transcription, and translation, generating insights, giving feedback on content, or proofreading content.  

Students must acknowledge where they have used AI within their coursework.

4. Assessment sequence and weighting:

Summative Assessment

Weighting

(%)

Release date

Submission date

Corresponds to

Learning Outcomes

L1

L2

L3

L4

L5

E.g. Essay

100%

5/03/24

17/04/24

x

 

x

 

x

5. Format:

This assignment has a limit of 2,500 words (excluding figures, references and appendices). All sources and references should be acknowledged using the Harvard referencing system.

There is a 10% leeway for the word limit: submissions that are within 10% over or under the word count won’t be penalised.  

Type of content

Counts towards the word limit

Table of contents

No

Reference list or bibliography at the end

No

Cover page

No

Diagrams, annotated pictures, figures and any other visuals

No

Appendices

No

Abstract

No

Acknowledgements

No

Footnotes

Yes

Tables in the main text

Yes

In-text citations

Yes

6. Marking Criteria:

Criteria

Proportion of the marks  

Criteria 1: Introduction

A clear statement which sets the scene and outlines the context, the selected case study (project-based firm or megaproject) and concept/s.

An overview which enthuses a reader about the content of the paper.

10%

Criteria 2: Review of the relevant literature

Critically review relevant literature that should include publicly available reports (from the industry, selected firm or megaproject), academic literature (e.g. project management, innovation management and other management journals and books).

30%

Criteria 3: Analysis of the selected case study

Provide a background information of the selected project-based firm or megaproject.

Provide critical and coherent analysis of the selected concept/s in the context of the case study based on relevant sources. In your analysis you are expected to draw from publicly available reports (from the industry, selected firm or megaproject) and academic literature (e.g. project management, innovation management and other management journals and books).

Outline the important issues associated with the selected concept/s in the context of the case study and problematise why one should learn about it.

30%

Criteria 4: Discussion and conclusion

Discuss the main points of the analysis, emergent new themes. Make reference to the relevant literature where appropriate. Summarise the paper and highlight the key points. Some practical recommendations could be made.

20%

Criteria 5: Presentation

How well you organise your paper, including the flow of the storyline, use of thematic headings and sub-headings to help the reader to follow your arguments.

Figures and diagrams can help to communicate your ideas, to summarise, synthesise and make suggestions.

You can use direct quotations where appropriate.

We are looking for quality of academic writing.

10%

7. Penalties:

 

Penalties

(as per UCL Academic Manual)

Penalties due to over/under-length cannot be more than 10%

Over/under-length penalty cannot take the student’s mark below ‘Pass Mark’

In the case the coursework that is submitted is over/under-length and is also late, the greater of any penalties will apply.

8. Assessment Support:

To support students there will be Moodle forum set up where you can engage with other and the module leader. In forum you can ask questions related to the assignment and discuss related issues. In addition, the module leader will allow time at the end of lectures for questions regarding term paper.

The Writing Lab is a free service offered through the UCL Academic Communication Centre which runs workshops, tutorials and support sessions to enhance academic writing and research skills. The Writing Lab's services are available for undergraduate and postgraduate students in the Joint Faculties of Arts & Humanities and Social & Historical Sciences, the Bartlett Faculty of the Built Environment, and Psychology & Language Sciences: https://www.ucl.ac.uk/writing-lab/ 

UCL Student Union English Language + Writing Support Programme supports non-native English speaking students with their academic writing and speaking. Peer Tutors run several different types of free activities to help you with your written and spoken English, including a regular programme of workshops, one-to-one sessions and 'Coffee and Conversation' which is a weekly opportunity to get together and practice your spoken English with other students: https://studentsunionucl.org/advice-and-support/support/language-writing-support-programme