MGT71904 Strategy and Innovation Assessment 2, 2026 | Taylor’s University

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Taylor's University (TU)

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MGT71904 Strategy and Innovation

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Date

02/25/2026

MGT71904 Assessment 2,  2026

Module Code MGT71904
Module Name Strategy and Innovation
Assessment Assessment 2
– Part A (30%) (Continuous)
– Part B (10%) (Continuous)
Semester/Year January 2026
Note Assessment 2 consists of TWO (2) parts: Part A and Part B.

Dear Students,

Taylor’s University/College upholds the highest standards of academic integrity. Students must complete their work honestly and ethically, ensuring that all submitted assessments reflect their own understanding and efforts. Any form of academic misconduct, including but not limited to plagiarism, collusion, contract cheating, falsification, and unauthorised use of Gen AI tools, is strictly prohibited and will be subject to disciplinary action in accordance with university regulations.

In this form, there are two (2) sections namely: Section 1 Instruction on the use of Generative Artificial Intelligence (to be completed by the module leader) and Section 2 Student Acknowledgement and Declaration (to be completed, signed and submitted by the students together with their assessment).

Students are responsible for properly acknowledging all sources, tools, and external contributions in their work. Misuse of AI-generated content, failure to attribute sources, or engagement in dishonest practices may result in penalties ranging from warnings to expulsion, as outlined in the Student Handbook.

This Assessment Submission Declaration Form is attached to the assessment brief. Students are required to complete the Assessment Submission Declaration Form in any piece of work submitted at Taylor’s University/College, except for assessments completed and submitted in controlled environments. For group assessments, each member of the group must complete an Assessment Submission Declaration Form.

SECTION 1: INSTRUCTION ON THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE FOR THIS ASSESSMENT

Guided use of Gen AI

Students are allowed to use Gen AI as stipulated by lecturers in the assessment brief:

  1. Use lecturer-approved Gen AI tools only for certain parts of an assessment (e.g. brainstorming, proofreading etc.) or the entire assessment.
  2. Use Gen AI for specific purposes only, such as generating drafts, refining language, or conducting exploratory analysis, but not for creating final outputs or core analytical tasks.
  Flexible use of Gen AI

You are allowed to use Gen AI tools in any way you find appropriate for the task, provided you acknowledge and explain their usage. This emphasises transparency, critical engagement, and ethical practices.

  Use of Gen AI is not applicable

Assessment is conducted under controlled environments (final exams, practical assessment without written assignment etc). Students are to complete the task independently, without the assistance of Gen AI tools.

Where Gen AI tools have been used, you must attach your chat history and an appendix listing the prompt used, the output generated by the generative AI tools, how the output was used and the pages where the AI-generated content can be found as per the table below:

AI Tool Used Prompts Outputs How the output was changed for use into the assignment Specify the page(s) in the assignment where the output is used
Example:

ChatGPT

“Describe principles of marketing in 30 words”

 

The principles of marketing focus on understanding customer needs, creating value, building relationships, targeting specific markets, using effective promotion, ensuring product accessibility, pricing strategically, and fostering long-term loyalty and satisfaction.

 

The principles of marketing, as outlined by Kotler and Keller (2016), emphasize the importance of understanding customer needs, creating value, and building strong relationships. Key elements include targeting specific market segments, implementing effective promotional strategies, ensuring product accessibility, employing strategic pricing, and fostering long-term customer loyalty and satisfaction through a customer-centric approach (ChatGPT, 2024). Page 1

The Gen AI-generated content must be appropriately cited and referenced. Any work submitted using AI tools without proper citation and referenced will be treated as though it was plagiarised.

INFORMATION ON PENALTIES RELATING TO ACADEMIC MISCONDUCT

Any student found to have engaged in academic misconduct, including but not limited to plagiarism, falsification, contract cheating, or improper AI usage, will be subject to disciplinary action. Penalties may include but are not limited to plagiarism, falsification, contract cheating, or improper AI usage, and will be subject to disciplinary action. Penalties may include but are not limited to:

The penalties that can be imposed on a student who is found to have engaged in academic misconduct include, but not limited to:

  • Counseling or cautioning.
  • Awarding zero marks for the assignment.
  • Failing the module.
  • Suspension from enrollment at Taylor’s University/College.
  • Expulsion from Taylor’s University/College.

For full details, refer to the Student Handbook.

INFORMATION ON INVESTIGATION PROCESS REGARDING SUSPECTED MISUSE OF GENERATIVE ARTIFICIAL INTELLIGENCE TOOLS

If an assignment is suspected of improper AI use or other academic integrity violations, the university will follow the official Academic Integrity Investigation Process, which includes:

  1. Initial Assessment-The lecturer assesses inconsistencies in writing style, AI detection reports, or academic dishonesty concerns.
  2. Filing of Report -A Report on Academic Misconduct (THE-ACA-FORM-AINT) is submitted to the Academic Integrity Officer (AIO).
  3. Review & Evidence Collection – The AIO compiles relevant materials, including previous submissions, Turnitin reports, and AI usage logs.
  4. Student Explanation – The student may be required to provide additional evidence of their work process, including drafts and source materials.
  5. Disciplinary Review – The Student Disciplinary Committee (SDC) will determine penalties if misconduct is confirmed
  6. Final Decision & Notification – The student receives formal notification of the decision, and records are updated accordingly.

For full details, refer to the Student Handbook.

SECTION 2: STUDENT ACKNOWLEDGEMENT AND DECLARATION

Acknowledgment by the student

When Gen AI is allowed to be used, acknowledgement of how Gen AI is used can be included as follows: (Place a tick ‘ ’ in the checkbox where relevant)

  Type Acknowledgement
  Gen AI is allowed but student chooses not to use it

 

I did not use any Gen AI tools for this assignment.

 

  Generate content which is modified in the final assessment submission

 

I acknowledge the use of …………………. to general materials such as ……………. in this assessment. I have also provided the prompt used, the output generated by the Gen AI tools, how the output was used and the pages where the Gen AI-generated content can be found.

 

  Use Gen AI to polish language before further modification for final submission

 

I acknowledge the use of …………………. to improve the academic tone and accuracy of language, including grammatical structures, punctuation and vocabulary. I have also provided the prompt used, the output generated by the Gen AI tools, how the output was modified further to better represent my tone and style of writing.

 

Note: Please modify the above as per your lecturers’ needs

 

  I attached Appendix in this assignment the chat history, including all the prompts that I used and the output from the Gen AI tool(s) for this assignment.

 

The use of GenAI has to be referenced appropriately according to the referencing style as required:

Referencing

Style*

In-text citation Reference
APA … (AI platform, year)

 

Company. (year). Platform Used (version) [model]. URL

Example:

OpenAI. (2023). ChatGTP (Mar 14 version) [Large language model]. https:chat.openai.com/chat

MLA …. (“prompt”). “Description of prompt” prompt. Name of AI tool, version of AI tool, Company, date text was generated. URL.

Example (Text): “Identify the themes in Mcteague by Frank Norris” prompt. ChatGPT, 21 November version, OpenAI, 4 Dec. 2023. https://chat.openai.com/share/2f2be19d-eadd-4151-8ceb-0785319074b3

Example (Image): Fig. 2. “Create impressionist painting of a cat using neutral colors” prompt. DALL-E, version 2, OpenAI, 27 Nov. 2023. https://labs.openai.com/

Harvard … (AI platform

year)

 

There is no guideline for Harvard style on referencing the use of AI. The following format is recommended by most universities.

Name of AI (Year of communication) Medium of communication. Receiver of communication, Day/month of communication.

Example

OpenAI ChatGPT (2023) ChatGPT response to Mary Jane, 25 January 2024

*Please refer to the latest referencing style.

 Declaration

 I confirm that:

  1. I understand what constitutes academic integrity violations, including plagiarism, collusion, fabrication, falsification, contract cheating, and improper use of Gen AI.
  2. I confirm that my work or any part of this assessment has neither been previously and is not concurrently submitted for any other programme at Taylor’s University or any other institution, save except when re-use of the same work is permitted by the module leader.
  3. I acknowledge that using Gen AI or any external assistance without proper attribution constitutes academic misconduct and may be sanctioned accordingly.
  4. I understand that if there are indications of academic integrity breaches, including improper Gen AI use, my work will be subject to investigation.
  5. This assignment is my own work, and I have properly acknowledged all sources, tools, and external contributions, including the use of Gen AI where applicable.
  6. I also understand that if there is any indication of inappropriate use of generative AI in my assignment, I may be required to, for instance, attend an oral presentation to justify my work as part of the review process.
  7. I acknowledge and authorize the submission and/or storage of my work in a database for the purpose of verifying its originality and/or conducting tests using artificial intelligence software, and I hereby consent to this process.
  8. I acknowledge that this submission is subject to Taylor’s University/College Academic Integrity Procedure (THE-ACA-PROC-AINT) and all applicable university regulations.

Need Help with MGT71904 Strategy & Innovation Assignment?

MGT71904 ASSIGNMENT OVERVIEW

This assessment begins with a group consultancy-style presentation where you will analyse an organisation’s response to digital transformation pressures. You are expected to apply strategic frameworks to evaluate industry dynamics, assess competitive positioning, and propose actionable strategies for innovation and growth. This part tests your ability to connect theory to practice, identify opportunities in a changing business environment, and design strategies that create and sustain competitive advantage.

The second component is an individual mind map that examines leadership decisions during two major organisational crises. You will critically evaluate whether these decisions were ethically justified, apply relevant ethical and strategic frameworks, and consider the perspectives of key stakeholders. This part assesses your ability to synthesise complex issues into a clear, visual representation that demonstrates strategic thinking, ethical reasoning, and creativity.

Assignment 2 consists of TWO (2) parts:

Part A – Group Task

  • To access Part A, please click HERE
  • Students will be placed into groups through random assignment.
  • Each group will prepare a presentation that analyses their chosen organisation’s strategic response to digital transformation pressures, covering the key areas outlined in the assessment task.
  • The group presentation should be recorded and uploaded to YouTube as an unlisted video. The link must then be attached within the answer box provided in this document.
  • Only ONE (1) member of each group is required to submit the completed answer document.
  • Please ensure you submit the completed Part A – Group Task answer document to the correct assignment link on Canvas.

Part B – Individual Task

  • Using the provided case study and any additional research, create a mind map that illustrates your analysis and perspectives clearly and creatively.
  • Submit your mind map as a separate PDF file.
  • Please ensure you submit your Part B – Individual Task PDF file to the correct assignment link on Canvas.

Learning Alignment

MLO 2: Apply theoretical concepts and techniques to analyse an organisational response to change by managing strategic innovation, corporate ethics at a global level.

PART A

  Requirements of Referencing Appendix

to be Referred

Marks
Question 1.A Referencing is required Not applicable 30 Marks

(Refer to marking rubrics for details)

ASSESSMENT CONTEXT

Malaysia’s Digital Transformation Dilemma

Background

Malaysia is at a critical juncture in its digital transformation journey. National initiatives such as MyDIGITAL and the National Digital Economy Blueprint have laid the foundation for a connected economy, aiming to position Malaysia as a regional leader in digital services. These efforts have driven significant progress: broadband penetration has surpassed 95%, cloud adoption is accelerating, and over 70% of government services have been digitised. Yet, despite these achievements, businesses face a persistent challenge—turning infrastructure readiness into measurable business outcomes.

Key Business Dynamics

The issue is not simply technological. While connectivity and digital platforms have expanded, many organisations struggle to translate digital tools into competitive advantage. Several dynamics amplify this challenge.

  • Platform Ecosystem Pressure

Digital platforms and super-apps dominate consumer engagement, offering integrated services and frictionless experiences. Businesses must decide whether to partner with these ecosystems or build independent digital capabilities, balancing reach against control of customer data and brand identity.

  • Infrastructure vs. Organisational Readiness

Public investment in infrastructure—such as RM3.6 billion allocated for digital initiatives in 2024—has improved access and enabled advanced technologies like AI and cloud computing. However, firms often cite regulatory complexity, talent shortages, and cultural resistance as barriers to leveraging these tools effectively.

  • Inclusive Growth Expectations

Digital transformation is increasingly tied to social impact. Businesses are expected to support financial inclusion, rural connectivity, and sustainability goals. This adds pressure to design strategies that balance profitability with equitable access and community engagement.

  • Innovation Culture Gap

Technology adoption alone does not guarantee success. Organisations need agile structures, cross-functional collaboration, and a culture that rewards experimentation. Without these, firms risk falling behind more adaptive competitors—even when infrastructure is available.

References

Boston Consulting Group & Malaysia Digital Economy Corporation. (2023, July 25). Building strong digital economy for Malaysia’s future. Boston Consulting Group.

https://www.bcg.com/publications/2023/malaysia-harnessing-the-power-of-technology

Larizza, M., & Loo, C. (2025, December 18). Malaysia has built its digital govt—Now the real work begins and ASEAN can learn from it. The Star.

https://www.thestar.com.my/esg/2025/12/18/malaysia-has-built-its-digital-govt-now-the-real-work-begins-and-asean-can-learn-from-it

Question 1.A Group Task

Work Required: As a group, you are required to select a real-world Malaysian organisation that is navigating the digital transformation pressures outlined in the assessment context. Prepare a professional consultancy-style presentation that demonstrates your ability to apply strategic concepts and frameworks to analyse the organisation’s current strategic positioning and propose actionable solutions.

Your presentation should be structured around the following key areas:

Industry Dynamics and Attractiveness Analysis

    • Use Porter’s Five Forces (or another suitable framework) to analyse the structural attractiveness and profitability of the industry in which your chosen organisation operates. This involves:
      • Identifying the key forces shaping the competition within the industry.
      • Explain how these forces create opportunities or constraints for the organisation’s growth and profitability in Malaysia’s evolving digital economy.

Strategic Positioning and Competitive Advantage

  • Apply Porter’s Generic Strategies or other appropriate theoretical concepts identify the organisation’s current strategic positioning and analyse how this influences the firm’s competitiveness.
  • Evaluate how effectively the organisation leverages its strategic resources and capabilities to respond to market challenges and sustain competitive advantage.
  • Proposal of Actionable Strategies
  • Develop a SWOT Matrix that critically evaluates the organisation’s internal strengths and weaknesses, as well as the external opportunities and threats it faces.
  • Based on the SWOT Matrix, propose two feasible business-level strategies that the organisation can adopt to strengthen its competitive position and address the challenges identified.
    • Each strategy should come from different SWOT quadrants (SO, ST, WO, or WT).
    • Ensure each strategy addresses a distinct challenge or opportunity. 

(Continued on the next page)

Identification of an Uncontested Market Space

  • Using a Strategy Canvas or similar tool, identify a Blue Ocean opportunity that the organisation is not currently serving or is under-serving.
  • Justify why this represents a strategic growth opportunity in Malaysia’s digital economy.
  • Explain how your proposed innovation creates a unique value proposition that differentiates the organisation from competitors.

Business Model Design

  • Apply the Business Model Canvas (BMC) to your proposed innovation, covering all nine components.
  • Your analysis should clearly show how the strategic innovation:
    • Creates value (e.g. through customer relationships, channels, and value propositions)
    • Delivers value (e.g. through key activities, resources, and partnerships)
    • Captures value (e.g. through revenue streams and cost structure)

Assignment Guidelines

Deliver a professional, management-level presentation with equal contribution from all group members.

When preparing your video presentation, ensure you address the following aspects:

  • Clear language and verbiage
  • Effective use of visual support
  • Relevance of examples and justifications

Usage of Gen AI

  • You may use ChatGPT, Claude or Gemini to conduct exploratory analysis and structure initial ideas, but the interpretation, synthesis, and final judgement of arguments or analyses must be your own.

Format of the Presentation

  • Presentation Tool: Use PowerPoint or other relevant presentation tools for visual support. There is no slide limit, but ensure the visuals are professional and clearly understandable to the audience.
  • Recording the Presentation: All presenters must keep their cameras on and share slides during their segment. The final submission should be a single, seamless video that combines all parts of the presentation in order.
  • Video Length: Not more than 15 minutes.
  • Uploading the Video: Upload the video to YouTube as an unlisted video.
  • Submitting the Link: Once uploaded, paste the YouTube link in the box below.
  • Referencing: References in APA 7th edition format and included at the end of the presentation.

PART B

  Requirements of Referencing Appendix

to be Referred

Marks
Question 1.B Referencing is not required Not applicable 10 Marks

(Refer to marking rubrics for details)

CASE STUDY

Tesla’s Journey from bankruptcy to the World’s Most Valuable Company

First Near-Bankruptcy Crisis: The 2008 Financial Collapse

In mid-2008, Tesla was on the verge of securing $100 million in Series E funding when the global financial crisis struck, rapidly pushing the company toward potential bankruptcy by the end of the year. The collapse of Lehman Brothers triggered a worldwide banking meltdown, making it nearly impossible for startups like Tesla to secure investment. With major automotive companies such as General Motors and Chrysler on the brink of failure, investors were unwilling to gamble on a small, independent American automaker.

During this turbulent period, Elon Musk stepped into the role of CEO. However, all plans tied to the $100 million funding round were abandoned. Tesla was forced to halt construction of a new factory and headquarters, delay the launch of the Model S, and lay off nearly 20% of its employees. These decisions sparked debate internally about how far leadership should go to protect the company’s survival at the expense of jobs and stability.

Selling the company would have been the safest option. Instead, Musk chose to take a bold risk by investing his own personal funds after the Series E financing collapsed. At the time, he had already committed the entire $180 million he earned from the sale of PayPal into Tesla and SpaceX. This move raised questions about whether such personal financial exposure was prudent and how leadership should balance shareholder interests with employee welfare during a crisis.

Second Near-Bankruptcy Crisis: Model 3 Production Challenges

Between 2017 and 2019, Tesla faced another severe financial threat while attempting to scale mass production of the Model 3. This period nearly drove the company to bankruptcy once again. The Model 3 represented a critical turning point for Tesla, as its long-term survival depended on successfully delivering an affordable, mass-market vehicle.

This urgency played a major role in Elon Musk’s decision to bring Deepak Ahuja back as CFO in February 2017, after his retirement in 2015. Ahuja pointed out that the Model 3 was not market-ready and that production timelines were far more delayed than expected. He also explained to CNBC that disruptive technologies like Tesla’s electric vehicles and batteries typically follow an “S-curve” pattern of growth.

According to this model, innovation begins with slow progress as technologies are refined, followed by a rapid acceleration in adoption, and eventually stabilises as the market matures. The EV industry is now entering the later stages of this curve. What is especially critical for Tesla is its readiness to initiate a new S-curve of innovation.

To achieve this, Tesla pushed aggressively to ramp up production, a period Musk famously referred to as “production hell.” Employees worked long hours under intense pressure, and the company faced scrutiny over whether such conditions were sustainable or responsible. Leadership also made high-stakes bets on automation and later introduced the Giga Press—the world’s largest die-casting machine—to simplify manufacturing and reduce costs. These decisions were strategic, but they also raised questions about how much strain on people and resources is acceptable in pursuit of innovation and survival.

References

Boudette, N. E. (2018, February 7). Tesla Model 3, Elon Musk’s grail, remains a costly pursuit. The New York Times. https://www.nytimes.com/2018/02/07/business/tesla-musk.html

Smith, S. (2023, July 24). How Tesla went from almost bankrupt (twice) to the world’s most valuable car company. FinMarketResearch.

https://www.financemarketresearch.com/post/how-tesla-went-from-almost-bankrupt-twice-to-the-world-s-most-valuable-car-company

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