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Effective Management Decision Making

An Introduction

Effective Management Decision Making
4.3 (45 reviews) Read reviews
ISBN: 978-87-403-0120-5
1 edition
Pages : 236
  • Price: 129.00 kr
  • Price: €13.99
  • Price: £13.99
  • Price: ₹250
  • Price: $13.99
  • Price: 129.00 kr
  • Price: 129.00 kr

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About the book

  1. Reviews
  2. Description
  3. Content
  4. About the Author


Hector Munoz ★★★★★

Content is complete, goes deep into the subject of decisión making. Extensive research, with more than 100 references to articles. Thanks to author Ian Pownall for the effort and for releasing this book.

Bob Kabewa ★★★★★

This book on Effective Management Decision Making is going to help many young supervisors and managers. It has helped me a lot in job assisting the management.

Joseph Monaghan ★★★★★

Gives a clear and concise introduction into management decision making. Would recommend it to any students seeking to gain a grasp on the fundamentals.


This is a short, focused text, considering a range of methods, issues and concepts in management decision making. Written from the perspective of a student/manager unfamiliar and/or uncomfortable with mathematics, the text considers a range of established decision making methods and presents them in the context of a need to develop an inclusive and integrated view of decision analysis in management.


  1. Chapter 1
    1. Effective Management Decision Making: Introduction
    2. The Duality of Decision Making?
    3. Types of Business and Management Decisions
    4. Who is involved in Decision Making?- The Decision Body
    5. The three phased model
    6. Summary
    7. Key terms and glossary
  2. Chapter 2
    1. Developing rational models with qualitative methods and analysis: Data forecasting
    2. Simple Averaging Forecasting
    3. Moving Averages
    4. Exponential Smoothing Data Forecasting
    5. Errors, accuracy and confidence
    6. Causal forecasting (explanatory forecasting)
    7. Non-linear Forecasting and multiple regression– Curve fitting
    8. Multiple regression and partial regression analysis
    9. Complete worked non linear forecasting example with seasonality
    10. Summary
    11. Key Terms and glossary
  3. Chapter 3
    1. Developing rational models with quantitative methods and analysis: probabilities
    2. The Decision tree – a map of the solution set
    3. Decision Analysis
    4. More on probabilities: Expected Monetary Values (EMVs)
    5. Revising problem information – Bayes Theorem
    6. The Value of Sample and Perfect Information
    7. Summary
    8. Key Terms and glossary
    9. Chapter closing question
  4. Chapter 4
    1. Developing rational models with quantitative methods and analysis: Distribution Functions and Queuing Theory
    2. The mathematical function: discrete and continuous variables
    3. The discrete distribution – the binomial function
    4. Extending binomial number sequences
    5. The Poisson sequence
    6. Queuing Theory
    7. Examples of poisson problems
    8. More examples of poisson problems:
    9. Queuing Theory – Modelling reality
    10. Defining the queuing characteristics
    11. Example of M/M/ system
    12. Queuing cost analysis of M/M/ models
    13. M/M/k queues
    14. The economic analysis of queues
    15. Other queuing systems and different waiting line structures
    16. Example of an arbitrary service time queue
    17. Summary
    18. Key terms and glossary
  5. Chapter 5
    1. Developing holistic models with qualitative methods of decision analysis: Irrationality in Management Decision Making
    2. The Monte Carlo Simulation
    3. Systems thinking about decisions
    4. Checkland’s Soft System Methodology (SSM) – Mode
    5. Summary
    6. Key terms and glossary
  6. Chapter 6
    1. The individual in decision making: Heuristics in Management Decision Making:
    2. More on the cognitive view – schematas and heuristics
    3. More on heuristics
    4. Summary
    5. Key terms and glossary
  7. Chapter 7
    1. The role of groups in decision making and long term decision making methods and analysis
    2. Group decision making – is it really better?
    3. Group communication
    4. Convergent thinking emergence in groups- The Abilene Paradox
    5. Convergent thinking emergence in groups- The Groupthink phenomenon
    6. Futures forecasting and decision making
    7. Summary
    8. Glossary
  8. References

About the Author

The author is presently Programme Leader for the Business and Management degrees at Hull University Business School. Writing interests are eclectic and range from rent seeking behaviour and organisational strategies, entrepreneurial identity and comparative regional development through to at present, student identity and the student experience of Higher Education. The course on Management Decision Making delivered in the Business and Management Degrees, has provided the core notes for this text.

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