Business Management IA Exemplar: Microsoft-OpenAI Partnership and… | RevisionDojo
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IB Business Management HL Internal Assessment Example
How has the Microsoft-OpenAI partnership change since 2019 strengthened Microsoft's competitive positioning in the software market?HL
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6
Official IB Result
19/25
Criteria A: Integration of a Key Concept
4/5
0
3
5
Criteria Strands
A.1Understanding and integration of key concept
Excellent
A.2Connection to organization
Excellent
Criteria Feedback
Clearly identifies and maintains focus on “change” as the key concept throughout the investigation
Repeated analytical linkage between partnership events and shifts in market share, revenue mix and product USP
Strong contextual connection to Microsoft with relevant use of internal and competitor data
Analysis occasionally drifts into description without explicit reference to the dynamics of change
Concept not fully integrated in every paragraph, particularly in purely descriptive sections
1.1·Strength
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The student clearly identifies “Change” as the key concept, anchoring the investigation in a relevant theoretical framework early on.
1.2·Suggestion
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Consider providing an operational definition of “change” immediately after the research question to guide the reader’s understanding and link subsequent analysis to the key concept.
1.3·Weakness
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The introduction provides context on Microsoft but does not explicitly link these details back to the concept of change. Consider weaving the key concept into this paragraph.
1.4·Suggestion
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Integrate the concept of “change” directly into the findings by explaining how each market‐share shift represents a transformative effect of the partnership.
Criteria B: Supporting Documents
2/4
0
2
4
Criteria Strands
B.1Number of documents
Excellent
B.2Relevance and depth
Good
Criteria Feedback
All five supporting documents are clearly listed in a methodology table and referenced in the text
Exact compliance with the required 3–5 document range for quantity
Heavy reliance on journalistic sources and no primary data, resulting in superficial academic depth
Lack of critical discussion about source rigour and distinction between primary/secondary evidence
2.1·Strength
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The supporting documents table clearly enumerates all sources with bibliographic details, demonstrating thorough documentation.
2.2·Suggestion
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Critically discuss the depth and academic rigour of your supporting documents, distinguishing primary evidence from journalistic or blog sources to enhance depth of research.
Criteria C: Selection and Application of Tools and Theories
2/4
0
2
4
Criteria Strands
C.1Selection of tools and theories
Good
C.2Application and relevance
Good
Criteria Feedback
Selection of three distinct tools (FFA, regression forecasting, descriptive statistics) covering qualitative and quantitative angles
Each tool is applied to aspects of the partnership
No justification for why the chosen tools best address the research question
Limited theoretical breadth—omits widely used strategic models and deeper justification
3.1·Weakness
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The methodology section mentions FFA, forecasting and descriptive statistics but does not justify why these tools best address your research question. Include rationale for each tool selection.
3.2·Weakness
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The description of FFA outlines strengths and weaknesses of the tool but does not justify the numerical ratings assigned. Provide clear evidence or criteria for each score.
3.3·Weakness
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You note limitations of regression but omit diagnostic tests (e.g. R², autocorrelation). Include statistical metrics to validate your model’s reliability.
3.4·Weakness
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The descriptive statistics section describes general techniques but does not specify which measures were applied to your data. Identify exactly which statistics (mean, median, etc.) were used.
Interpretations sometimes imply causation without discussing external or confounding factors
4.1·Suggestion
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Expand the post‐diagram analysis to evaluate which restraining force may become most significant over time and how Microsoft might mitigate it.
4.2·Suggestion
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Provide comparative subscriber data for competitors (e.g. Google’s AI tools) to contextualise the significance of Copilot’s 1.3 million users.
4.3·Weakness
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Your quantitative claim of “added $2 billion in annual revenue” needs a clear calculation or source citation; include the underlying data and formula.
4.4·Weakness
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The interpretation implies causation from observed trends. Temper conclusions by discussing potential external variables or coincidental factors.
4.5·Suggestion
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Add R² values or trend‐line equations to your regression figures’ captions to substantiate forecast validity.
4.6·Suggestion
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Clarify how the “121.8 % increase” was calculated by showing market‐share baseline and final values in the text or a table.
4.7·Strength
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The quarterly revenue chart (Figure 5) effectively visualises trends over time, aiding comprehension of key shifts since 2008.
4.8·Suggestion
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Consider discussing confounding factors such as the pandemic or major acquisitions that could also explain abrupt revenue spikes beyond the partnership.
Criteria E: Conclusions
3/3
0
2
3
Criteria Strands
E.1Consistency with evidence
Excellent
E.2Answer to research question
Excellent
Criteria Feedback
Conclusions are fully consistent with the presented evidence and summarize both qualitative and quantitative findings
Explicitly restates and answers the research question in a clear, unambiguous manner
Does not propose concrete future research methods to address limitations of secondary data
5.1·Strength
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The conclusion concisely integrates qualitative (FFA) and quantitative (market-share, revenue) findings to explicitly answer the research question.
5.2·Suggestion
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Propose concrete future research methods—such as stakeholder interviews or primary surveys—to address the limitations of secondary data and rapidly evolving AI developments.
Criteria F: Structure
2/2
0
1
2
Criteria Strands
F.1Organization and structure
Excellent
Criteria Feedback
Report follows a clear IB-style structure with introduction, methodology, analysis and conclusion
Comprehensive table of contents and consistent use of headings/subheadings facilitate navigation
6.1·Strength
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The table of contents is comprehensive and logically organised, facilitating easy navigation through the report’s sections.
6.2·Strength
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The research question is clearly stated and contextualised, setting a precise focus for subsequent analysis.
6.3·Strength
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The regression forecasting section is well introduced, situating the quantitative model within your analytical framework.
Criteria G: Presentation
2/2
0
1
2
Criteria Strands
G.1Required elements
Excellent
Criteria Feedback
All required presentation elements are present: title page with word count, contents table, page numbers, bibliography, and supporting documents list
Inconsistent citation and footnote formatting across sections
FFA diagram lacks a clear legend or axis labels to improve readability
7.1·Weakness
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The FFA diagram lacks a clear legend or labels for axes and categories. Add explanatory notes or captions to improve readability.
7.2·Suggestion
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Footnote formatting varies in style; harmonise citation format throughout to maintain professional presentation.
7.3·Weakness
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Bibliography entries for supporting documents show varied formatting styles. Adopt and apply a single citation format consistently (e.g., APA, Harvard).
7.4·Suggestion
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The “OTHER WORKS” section includes sources not cited in the main text. Consider removing or condensing this list to streamline presentation and focus on directly referenced materials.