In today's complex and rapidly changing business landscape, effective decision making is crucial for organizational success. This course is designed to take your decision-making skills to the next level by exploring advanced strategies and frameworks that can be applied across various business disciplines.

Throughout this course, we will delve into the fundamental concepts and theories related to decision making in a business context. We will examine decision biases, risk assessment techniques, and decision analysis models that provide a solid foundation for advanced decision making. As we progress, we will explore a range of advanced decision-making models that go beyond traditional approaches. These models include cost-benefit analysis, game theory, scenario planning, and multi-criteria decision analysis. By understanding and applying these models, you will gain the ability to evaluate complex business problems, assess risks, and analyze alternative courses of action.

Risk and uncertainty are inherent in business decision making and managing them effectively is vital. In this course, we will delve into risk identification, analysis, and mitigation techniques. We will explore both quantitative and qualitative methods for assessing risks, ensuring you have a comprehensive understanding of how to make informed decisions in uncertain environments.

Moreover, we will examine decision making in dynamic business environments. We will explore strategies for making decisions with incomplete information, adapting to changing market conditions, and addressing the challenges posed by disruptive technologies. By developing adaptive decision-making approaches, you will be better equipped to navigate the complexities of the modern business world.

Who should attend?

• Directors and owners of large commercial and industrial companies.
• Business Analysts.
• Entrepreneurs and Business Owners.
• Consultants and Advisors.
• Project Managers.
• Financial Analysts.
• Operations and Supply Chain Professionals.
• Professionals in Risk Management

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Develop a comprehensive understanding of the key concepts and theories related to decision making in a business context, including decision biases, risk assessment, and decision analysis techniques.
• Apply advanced decision-making models such as cost-benefit analysis, game theory, scenario planning, and multi-criteria decision analysis to solve complex business problems and evaluate alternative courses of action.
• Assess and manage risk and uncertainty inherent in decision-making processes, including the identification, analysis, and mitigation of potential risks and uncertainties using quantitative and qualitative techniques.
• Analyze decision-making strategies in dynamic business environments, including situations with incomplete information, changing market conditions, and disruptive technologies, and develop adaptive decision-making approaches.
• Recognize the ethical dimensions of business decision making and incorporate ethical considerations into the decision-making process, balancing the interests of stakeholders and society.
• Utilize decision-making tools, software, and data analysis techniques to support the decision-making process and enhance decision quality and effectiveness.
• Design and implement effective decision-making strategies to address real-world business challenges, taking into account organizational goals, constraints, and resource limitations.

• Overview of decision-making process
• Decision biases and heuristics
• Risk assessment and analysis techniques
• Advanced Decision-Making Models
• Cost-benefit analysis
• Game theory and strategic decision making
• Scenario planning and decision trees
• The rules of decision-making strategy.
• Who uses decision-making strategies?
• Analytical decision-making.
• Command decision-making.
• Collaborative decision-making.
• Expertise decision-making.
• Consensus-based decision-making.
• Random choice decision-making.
• Vote decision-making.
• Single feature decision-making.
• Delegation decision-making.
• Additive feature decision-making.
• Elimination by aspects decision-making.
• Important principles of investment.
• Types of investments in terms of degree of vulnerability.
• Methods of control and anticipation of risks.
• Basic principles of investment.
• Standard risk management.
• Contact and Consult. Create a Framework.
• Risk identification and analysis.
• Risk management Monitoring and auditing.
• Risk management process.
• The most significant specific factors of international trade in modern age.
• Size and power of the state and its effect on international trade.
• Change in the turnout for specific commodity and its effect on international trade.
• Methods of risk assessment.
• Precautions to be taken for avoiding risks.
• Multi-criteria decision analysis
• Identification and classification of risks
• Risk analysis techniques (probabilistic and qualitative)
• Risk mitigation and contingency planning
• Decision making with incomplete information
• Decision making in changing markets and industries
• Decision making in the face of disruptive technologies
• Ethical frameworks and decision making
• Balancing stakeholder interests
• Corporate social responsibility and sustainability
• Decision support systems
• Data analysis techniques and tools
• Visualization tools for decision making
• Organizational decision-making processes
• Decision implementation and monitoring
• Learning from decision outcomes and feedback loops
• Analyzing real-world business cases
• Simulations and role-playing exercises