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Programme Title Business Management
Module Title LC Digital Business Strategy
Module Code 08 33967
Assignment Title Reflective Piece
Level BSc
Weighting 50% of the total Mark
Lecturers Dr Yuanzhu Zhan & Dr Haoyu (Jenny) Liu
Hand Out Date 22 Jan 2024
Deadline Date & Time 08 May 2024 12pm
Feedback Post Date Feedback is due for return on the 15th working day after the deadline.
Assignment Format Essay
Assignment Length 1000 words excluding supporting materials and references.
Please note that the references in the main body of the text (i.e., in-text citations) are included in the word limit.

There is no 10% leeway for written assignment over 1,000 words. Any written assignment exceeding this length may be penalised by deducting 5 marks for every hundred words in excess of the limit.
Submission Format Online Individual

Assignment:
The aim of this assignment is to demonstrate knowledge and understanding of contemporary literature and applied developments in the area of big data. There is a lot of research being conducted on this theme, but critical questions still arise as to how big data can generate demonstrable and sustainable competitive advantages. In this regard, write a report to:
Critically review the contemporary literature in the area of big data management to discuss the strengths, weaknesses, opportunities and threats (SWOT) of adopting big data initiatives in a specific industry of your choice (e.g., Manufacturing, Healthcare, Retail and Telecommunication). Provide appropriate examples to support your arguments.

Instructions
The report should be well structured into different logical sections (e.g., Introduction, Background of the selected industry, Analysis of literature, Conclusion, References), and you should make sure that you write in a focused manner.

Your report should be typed with font size 12, and 1.5 or 2-line spacing. The word count excludes the title page, table of content, executive summary, references and appendices. You must reference your work correctly using the Harvard referencing style.

Important Notes:
Your assignment must be word processed in a professional report format and should be within 1000 words in length.
Your report will be evaluated on the basis of your critical understanding of the subject matter; your ability to draw upon relevant literature; independent thinking and critical analysis; and effective structure and presentation (see below for further detail).
Make sure that all sources are fully referenced using the Harvard system (surname,
date, page number if appropriate in the main body, alphabetical listing of references
at the end).

Module Learning Outcomes:
By the end of the module, students should be able to:
understand how digitalisation and business are related and integrated;
analyse why do firms succeed or fail in digital transformation;
provide a bridge between digitalisation and business through the application of concepts in specific company case studies;
develop personal skill in analysing and evaluating business, corporate and strategies in complex cases.
critically evaluate the role of external and internal factors in the development of digital business strategies.

Grading Criteria:
Generic evaluation criteria include:
Understanding – Your work should demonstrate a high level of knowledge and understanding of digital business. Works earning higher marks will clearly demonstrate, by appropriate and correct application, an understanding of the digital business concepts, theories, tools, techniques, etc., used in the submitted report.
Substantiation – The work should be underpinned by course material and additional reading around the topic chosen and tools employed. (Please only reference material you have read!)
Insight – Your work must demonstrate critical evaluation and insight into the digitalization process, digital business model and digital transformation
Clarity and structure – The report should be well structured and clearly presented.

Feedback to Students:
Both Summative and Formative feedback is given to encourage students to reflect on their learning that feed forward into following assessment tasks. The preparation for all assessment tasks will be supported by formative feedback within the tutorials/seminars. Written feedback is provided as appropriate. Please be aware to use the browser and not the Canvas App as you may not be able to view all comments.

Plagiarism:
It is your responsibility to ensure that you understand correct referencing practices. You are expected to use appropriate references and keep carefully detailed notes of all your information sources, including any material downloaded from the Internet. It is your responsibility to ensure that you are not vulnerable to any alleged breaches of the assessment regulations. More information is available at https://intranet.birmingham.ac.uk/as/registry/policy/conduct/plagiarism/index.aspx.

Use of Generative AI:
Unless explicitly stated otherwise, students should assume that the use of generative AI within an assessment or assignment is not permitted. Any assessment submitted that is not a student’s own work, including that written by generative AI tools, are in breach of the University’s Code of Practice on Academic Integrity (https://intranet.birmingham.ac.uk/as/registry/policy/conduct/plagiarism/index.aspx

Wellbeing Extenuating Circumstances:
The process for Extenuating Circumstances is to support students who have experienced unforeseen issues that have impacted their ability to engage with their studies and/or complete assessments. Students should notify Wellbeing of any extenuating circumstances as soon as possible via the online form, following the guidance provided.
https://intranet.birmingham.ac.uk/social-sciences/college-services/wellbeing/index.aspx