BMGT4316 Business information system assignment
| Question # 46976 | Business & Finance | 1 year ago |
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| $45 |
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Assignment Brief: BMGT4316 2021-22
Assignment
Report
Word Limit or equivalent (e.g. time)
2500
Weighting
100%
Learning Outcomes Assessed
1. Critically examine how the implementation of information systems (IS) shape organisational context and how organisations cope with change to a new or updated IS implementation
2. Investigate how managers can be better prepared for unpredictability, unintended outcomes and possible harmful consequences of changes caused by the introduction or update of information systems.
3. Evaluate the need to provide seamless integration across a business/organisational structures, operations and processes to accommodate a new IS.
4. Critically examine the complexities of social, cultural, governance, ethical and structural aspects of IS management.
Submission date
3pm 4th May 2022
Feedback date
27th May 2022
Module Leader
Andrew Tomlinson
Verified by
Abdul Taroun
If
anything about this assignment is not clear to you, please contact your module
leader.
What do I need to do to make a success of this assignment?
Explore the possibilities of introducing data mining applications within a business context of your choice (e.g. retail, healthcare, education, transport, manufacturing, finance). You are required to assess the potential need and benefits of the data mining applications within the chosen business context, as well as assess the implications for its development, implementation and use, such as the business IT/IS/Digital strategic alignment, change management, governance, risk, cyber security implications, and ethics issues. Hence, in addition to considering the business benefits, your analysis should identify the key issues and challenges associated with the introduction of the data mining applications within the chosen business context, and you are expected to advise on how to address them effectively. You should present evidence (from academic papers, published business reports, and published case studies) to support your arguments.
How should I present my work?
You must present your work using the following report template:
· Title page listing the following:
Module name and code
Student number
Submission date
Assignment Number/Title
· Grading Matrix
· Executive Summary
· Table of Contents
· Main body of report. Use headings and subsections to assist the reader.
· References
The total contents of the sections of the report should not exceed 2500 words in length. This excludes the table of contents, referencing section and the grading matrix.
References (use the University Harvard referencing system, support is available through the library www.worc.ac.uk/library/guides/study-skills/referencing)
Work should be submitted to the Blackboard page for BMGT4316 as a .docx Word file.
How can I obtain guidance on my assignment?
There will be an oral briefing conducted in the week commencing 7th February 2022. You must also take responsibility for asking if anything is unclear or if you require extra support.
An opportunity to gain written formative feedback will be available by handing in a 20% sample 10 days (or more) before hand-in date (deadline 20th April 2021).
You must demonstrate the assignment you submit is your own work and that it does not fall foul of plagiarism (copying someone else’s work without an appropriate attribution). The library guide will provide more advice and support http://libguides.worc.ac.uk/guides/study-skills/plagiarism.
How and when do I hand my assignment in?
Your work must be word-processed/typed and should clearly show your student number. You should submit your work by the 3pm deadline on Tuesday 4th May 2022. You should submit your work to Blackboard which is available via MyDay. You are required to keep a copy of work handed in.
You should submit your report as a Word .docx file.
See the University’s guide to uploading and submitting assessment items via Blackboard: https://help.blackboard.com/Learn/Student
If you have issues with Blackboard, Turnitin or PebblePad you will need to contact *This Text is Removed by Studyfull for Privacy & Security Purposes*
How will my assignment be marked?
Specific marking criteria for your assignment is provided in the Grading Matrix within this document.
You are strongly advised to check your completed work against the Grading Matrix to ensure have completed all areas required before you submit it.
You should also ensure you adhere to the word limit / word count stated in your assessment brief document, details of which can be found in the University’s Assessment Policy http://www.worc.ac.uk/aqu/documents/AssessmentPolicy.pdf
Grading Matrix for BMGT4316 Business Information Systems
This matrix captures the assessment criteria for this part of the coursework.
Student Number/Name:
Academic Year and Semester:
2021 – 2022 Semester 2
Learning Outcomes:
1. Critically examine how the implementation of information systems (IS) shape organisational context and how organisations cope with change to a new or updated IS implementation
2. Investigate how managers can be better prepared for unpredictability, unintended outcomes and possible harmful consequences of changes caused by the introduction or update of information systems.
3. Evaluate the need to provide seamless integration across a business/organisational structures, operations and processes to accommodate a new IS.
4. Critically examine the complexities of social, cultural, governance, ethical and structural aspects of IS management.
Module Code:
BMGT4316
Assignment No/Weighting:
100%
Module Title:
Business Information Systems
Assessment Title:
Case Analysis
Assessment Criteria
GRADE
Critical evaluation of data mining opportunities and implementation considerations within the chosen business context
Recommendations concerning key issues and challenges to implementing data mining within the chosen business context
Breadth and depth of evidence gathering
Report structure, writing and presentation
A
Excellent evaluation and thoughtful critical review of data mining practices, opportunities, and limitations within the chosen business context. Very comprehensive analysis of the processes and challenges in adopting data mining applications. Excellent consideration of business IT/IS/Digital strategic alignment, change management, governance, risk, cyber security implications, and ethics issues.
Very thoughtful and excellent recommendations.
The work demonstrates a systematic and creative ability to synthesise evidence, critique its qualities which enabled developing logical argument and convincing point of view. There is an excellent discussion of the suggested recommendations. You have presented your ability to critically discuss your own recommendations and to highlight the feasibility and originality of them after considering various options and using evidence from literature and practice
Excellent literature search conducted about the topic covering a wide range of reliable sources and showing deep critical analysis and evaluation of evidence and expert opinions. The sources used are accurately referenced using the UoW Harvard referencing style. The literature search shows complete understanding of the topic under analysis in its wider environment and comprehends all the factors related to it
Excellent structure and presentation, interesting flow of ideas, smooth reading throughout the report and excellent referencing using the UoW Harvard referencing style. Meaning is always clear, and the writing is concise and precise.
B
Your work meets the learning outcomes. Very good evaluation and thoughtful critical review of data mining practices, opportunities, and limitations within the chosen business context. Comprehensive analysis of the processes and challenges in adopting data mining applications. Good consideration of business IT/IS/Digital strategic alignment, change management, governance, risk, cyber security implications, and ethics issues.
Very good and practical recommendations coming out of the analysis and research you conducted. There are signs of very good level of reflection and clear ability of synthesis of various sources of information which enabled developing logical argument. The discussion of the recommendations is very good and well supported by evidence from your research. Yet, your recommendations could have been better discussed and critically analysed to show the feasibility and benefit of them after considering various options.
Very good literature search conducted about the topic covering a wide range of reliable sources and showing deep critical analysis and evaluation of evidence and expert opinions. The sources used are accurately referenced using the UoW Harvard referencing style. The literature search reflects a very good understanding of the topic under analysis in its wider environment and highlights all key factors related to it
Very good presentation and clear structure, the report presents nice story to follow with convenient links between theory and practice, evidence of good referencing skills using the UoW Harvard referencing style. Meaning is clear in most statements, and the writing is concise and precise
C
Your work meets the learning outcomes for the task, demonstrating developing critical understanding of the task. Fair attempt to evaluate the practice, opportunities, processes, adoption and challenges of data mining, with reasonable consideration of the chosen business context. The evaluation is not comprehensive and sometimes lacks adequate presented evidence.
Specific relevant recommendations coming out of your analysis. There are signs of good level of reflection and ability of synthesis of various sources of information which enabled developing logical argument. However, the feasibility of the different recommendations is not adequately analysed and/or supported by evidence from your research or from professional practice
A clear evidence of sufficient literature search conducted about the topic with sound critical analysis and evaluation related to reliable sources and expert opinions. A good breadth of sources used. The sources used are accurately referenced using the UoW Harvard referencing style.
Acceptable presentation but with some typo/grammatical errors. Good report structure. Good referencing using the UoW Harvard referencing style. Meaning is clear in most statements, and the writing is generally concise and precise
D
Your work is relevant and meets learning outcomes. Some analysis of the practice, opportunities, processes and challenges of data mining, with some consideration of the business context. Coverage of business IT/IS/Digital strategic alignment, change management, governance, risk, cyber security implications, and ethics issues, is inconsistent or shows gaps.
Some recommendations are presented. However, some of them are quite generic and/or not necessarily coming out as natural progress of the research and analysis you conducted. There are signs of some critical thinking when presenting the recommendations. However, most of the recommendations are not adequately analysed in terms of their feasibility
There is evidence of adequate literature search conducted about the topic with signs of sound critical analysis and evaluation related some reliable sources and expert opinions. The sources used are generally accurately referenced using the UoW Harvard referencing style.
Some kind of structure, but with poor presentation, errors in referencing, not an easy report to read. The writing needs to be more precise and/or concise.
E
Your work demonstrates basic relevance to the task and provides a limited response to it. Limited critical evaluation of the practice, opportunities, processes and challenges of data mining provided. Inadequate consideration of the chosen business context.
Some recommendations are presented. However, most of them are quite generic and/or not necessarily coming out as natural progress of the research and analysis you conducted. There is some sign of some critical thinking when presenting the recommendations. Many recommendations are not adequately analysed in terms of their feasibility.
Basic, or inadequate, literature search was conducted, no legitimate academic sources were consulted, or the work was dependent upon out-dated opinion and sources
Poor presentation, no professional structure and almost no referencing.
F
Your work demonstrates restricted relevance to the task. Inadequate or no consideration of data mining opportunities. Inadequate or no critical evaluation of the strategies or practice of data mining. Inadequate or no consideration of the chosen business context.
Recommendations are vague or irrelevant. No critical evaluation or feasibility investigation provided.
No, or inadequate, literature search was conducted, no legitimate academic sources were consulted, or the work was dependent upon out-dated opinion and sources
Very poor presentation, no professional structure and almost no referencing.
G
Your work demonstrates no relevance to the task. No critical evaluation of the strategies for data mining adoption. No consideration of the chosen business context.
No meaningful recommendations are provided.
No literature search was conducted, no legitimate academic sources were consulted
Unacceptable presentation, no professional structure and no referencing.
H / NS
Non submission or there is nothing of relevance in the work submitted.
Non submission or there is nothing of relevance in the work submitted.
Non submission or there is nothing of relevance in the work submitted.
Non submission or there is nothing of relevance in the work submitted.
Feedback on your assignment.
Please review this feedback and use it to develop your work in your next assignment in this and your other modules. If anything is unclear, please ask the marker.
Aspects done well and why: Add 2/3 bullet-point comments below.
· X
· X
· X
Aspects for improvement and why: Add 2/3 bullet-point comments below.
· X
· X
· X
Development for future assignments: Add 2/3 bullet-point comments below.
· X
· X
· X
How successful completion of this assignment helps your employability and achievement of graduate attributes:
Add a comment on achievement of employment skills/graduate attributes here.
Grade awarded:
Marker:
Moderator*:
* This person is responsible for moderating a sample of student work for this module. Your work may, or may not, have been included in this sample.
□ I do not want my work to be used anonymously to help future students
RESULTS ARE PROVISIONAL UNTIL AGREED BY THE BOARD OF EXAMINERS
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