Convincing Features
Assignment Type
Subject
Uploaded by Malaysia Assignment Help
Date
| 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. |
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.
| Guided use of Gen AI |
Students are allowed to use Gen AI as stipulated by lecturers in the assessment brief:
| 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.
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:
For full details, refer to the Student Handbook.
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:
For full details, refer to the Student Handbook.
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.
|
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| 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.
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| 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
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| 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.
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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.
I confirm that:
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:
MLO 2: Apply theoretical concepts and techniques to analyse an organisational response to change by managing strategic innovation, corporate ethics at a global level.
| Requirements of Referencing | Appendix
to be Referred |
Marks | |
| Question 1.A | Referencing is required | Not applicable | 30 Marks
(Refer to marking rubrics for details) |
Malaysia’s Digital Transformation Dilemma
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.
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.
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.
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.
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.
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.
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.
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:
(Continued on the next page)
Deliver a professional, management-level presentation with equal contribution from all group members.
When preparing your video presentation, ensure you address the following aspects:
| 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) |
Tesla’s Journey from bankruptcy to the World’s Most Valuable Company
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.
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.
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.
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