Module overview
This module is designed to explore the relationship between strategic management, digital transformation and the integration of Artificial Intelligence (AI) within business processes but also during strategizing. This course aims to equip students with a comprehensive understanding of how AI can be leveraged to enhance strategic decision-making, thereby fostering competitive advantage and operational effectiveness in today's dynamic business environments. The curriculum delves into digital transformation, strategic frameworks and analytical tools essential for evaluating industry dynamics and competitive landscapes, emphasizing the development of AI-driven strategies.
Aims and Objectives
Learning Outcomes
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Adapt to and manage change at an increasing faster rate, a vital skill in the rapidly evolving field of AI and management.
- Use library and other resources, including the application of bibliographical skills.
- Demonstrate effective project management skills, including the ability to plan, execute, and manage both time and resources in AI-driven projects, ensuring successful outcomes.
- Use computing and IT resources effectively.
- Collaborate effectively with teams, fostering an environment of teamwork and cooperation that is essential for leading interdisciplinary projects in business and technology.
- Employ digital literacy skills, particularly in utilising AI technologies and data analysis tools, to drive decision-making and innovation in business practices.
- Utilize critical thinking and AI-enhanced problem-solving skills across diverse business scenarios, preparing you to address and resolve challenges swiftly and efficiently.
- Evaluate and select AI solutions for complex problems by distinguishing the real value from the hype.
- Communicate complex ideas and arguments effectively, both orally and in writing, enhancing your ability to present and discuss both technical and strategic aspects of management and artificial intelligence.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Demonstrate how new technologies including AI can shape businesses and societies. Classify AI technologies, evaluate solutions and redesign processes and business models to utilize them. Reflect on how AI can support people and processes in an organization.
- Critically analyse and synthesize information with the help of management theories and AI applications from a variety of sources to develop new strategies that address complex business problems.
- Demonstrate practices that are ethical, responsible and sustainable.
- Demonstrate proficiency in the use of AI tools and technologies for data analysis, aiding in the strategic decision-making process across various business contexts.
- Effectively communicate complex AI and management concepts, research findings, and strategic solutions to a variety of stakeholders.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- The analytical techniques necessary for AI-driven decision making, enabling effective strategy and problem-solving in complex business environments.
- The core principles and practices of business and management, providing a solid foundation for leadership in business.
- How AI technologies can drive innovation and efficiency across various sectors, enhancing business strategies and competitive advantage.
- How business analytics can inform decisions and drive a business by utilizing both AI and statistical methods.
- The ethical, social, and economic implications of AI deployment in business, emphasizing responsible management and decision-making.
- The role and impact of AI in modern business practices, including its integration into business models and operations.
Syllabus
The exact topics covered in this module will depend on the configuration of the team of tutors and their respective research areas within strategy and innovation management. The module may include, but is not limited to, the following topics:
•Digital transformation
•AI focused business models
•Business Environment Analysis
•Strategic Capabilities and competitive advantage
•AI as a Resource and/or capability
•Business level Strategy and Corporate Strategy
•Innovation
•M&A and alliances
•Strategizing with AI: Strategic choices and evaluation
Learning and Teaching
Teaching and learning methods
Teaching methods include:
Lectures, interactive case studies, simulation game, directed reading, and private/guided study.
Learning activities include:
• Introductory lectures
• A groupwork: AI Style and profile exercise
• Case study/problem solving activities
• In class Debate with AI
• Private study: argumentative essay based on the debate
• Use of video and online materials
Class activities, such as problem solving activities, discussions and use of case studies will provide opportunities for you to gain feedback from you tutor and/or peers about their level of understanding and knowledge prior to any formal summative assessment. By utilizing Generative AI, you will be able to learn how to use this tool effectively. Feedback on the coursework will normally be provided through a written report for each individual/group within four weeks of the submission date.
Type | Hours |
---|---|
Independent Study | 116 |
Seminar | 10 |
Lecture | 24 |
Total study time | 150 |
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
Group work
- Assessment Type: Formative
- Feedback:
- Final Assessment:
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Exam | 70% |
Group Assignment | 30% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Individual report | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Individual report | 100% |