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E-raamat: Strategic Modelling and Business Dynamics: A feedback systems approach

(London Business School)
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  • Ilmumisaeg: 27-May-2015
  • Kirjastus: John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781118994818
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 27-May-2015
  • Kirjastus: John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781118994818

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Insightful modelling of dynamic systems for better business strategy

The business environment is constantly changing and organisations need the ability to rehearse alternative futures.  By mimicking the interlocking operations of firms and industries, modelling serves as a dry run for testing ideas, anticipating consequences, avoiding strategic pitfalls and improving future performance.

Strategic Modelling and Business Dynamics is an essential guide to credible models; helping you to understand modelling as a creative process for distilling and communicating those factors that drive business success and sustainability. Written by an internationally regarded authority, the book covers all stages of model building, from conceptual to analytical. The book demonstrates a range of in-depth practical examples that vividly illustrate important or puzzling dynamics in firm operations, strategy, public policy, and everyday life. 

This updated new edition also offers a rich Learners' website with models, articles and videos, as well as a separate Instructors' website resource, with lecture slides and other course materials (see Related Websites/Extra section below). Together the book and websites deliver a powerful package of blended learning materials that:





Introduce the system dynamics approach of modelling strategic problems in business and society Include industry examples and public sector applications with interactive simulators and contemporary visual modelling software Provide the latest state-of-the-art thinking, concepts and techniques for systems modelling

The comprehensive Learners' website features models, microworlds, journal articles and videos. Easy-to-use simulators enable readers to experience dynamic complexity in business and society.  Like would-be CEOs, readers can re-design operations and then re-simulate in the quest for well-coordinated strategy and better performance. The simulators include a baffling hotel shower, a start-up low-cost airline, an international radio broadcaster, a diversifying tyre maker, commercial fisheries and the global oil industry.





"Much more than an introduction, John Morecrofts Strategic Modelling and Business Dynamics uses interactive mini-simulators and microworlds to create an engaging and effective learning environment in which readers, whatever their background, can develop their intuition about complex dynamic systems."

John Sterman, Jay W. Forrester Professor of Management, MIT Sloan School of Management

"Illustrated by examples from everyday life, business and policy, John Morecroft expertly demonstrates how systems thinking aided by system dynamics can improve our understanding of the world around us." 

Stewart Robinson, Associate Dean Research, President of the Operational Research Society, Professor of Management Science, School of Business and Economics, Loughborough University
About the Author xvii
Foreword xix
Peter Checkland
Preface to the Second Edition xxi
Preface from the First Edition xxv
How to Use This Book xxxv
Chapter 1 The Appeal and Power of Strategic Modelling 1(30)
Introduction
1(4)
A New Approach to Modelling
5(2)
The Puzzling Dynamics of International Fisheries
7(3)
Model of a Natural Fishery
10(3)
Simulated Dynamics of a Natural Fishery
12(1)
Operating a Simple Harvested Fishery
13(12)
Harvesting in Bona vista, Newfoundland - A Thought Experiment
15(2)
A Start on Analysing Dynamics and Performance Through Time
17(3)
Saving Bonavista - Using Simulation to Devise a Sustainable Fishery
20(1)
Dynamic Complexity and Performance Through Time
20(3)
Cunning Fish - A Scenario with Reduced Dynamic Complexity
23(2)
Preview of the Book and Topics Covered
25(2)
Appendix - Archive Materials from World Dynamics
27(1)
References
28(3)
Chapter 2 Introduction to Feedback Systems Thinking 31(32)
Ways of Interpreting Situations in Business and Society
31(8)
Event-oriented Thinking
32(2)
Feedback Systems Thinking - An Illustration
34(3)
A Shift of Mind
37(1)
The Invisibility of Feedback
38(1)
A Start on Causal Loop Diagrams
39(2)
Structure and Behaviour Through Time - Feedback Loops and the Dynamics of a Slow-to-Respond Shower
41(6)
Processes in a Shower 'System'
44(1)
Simulation of a Shower and the Dynamics of Balancing Loops
45(2)
From Events to Dynamics and Feedback - Drug-related Crime
47(5)
A Feedback View
48(2)
Scope and Boundary of Factors in Drug-related Crime
50(1)
An Aside - More Practice with Link Polarity and Loop Types
51(1)
Purpose of Causal Loop Diagrams - A Summary
52(1)
Feedback Structure and Dynamics of a Technology-based Growth Business
52(3)
Causal Loop Diagrams - Basic Tips
55(3)
Picking and Naming Variables
55(1)
Meaning of Arrows and Link Polarity
56(1)
Drawing, Identifying and Naming Feedback Loops
57(1)
Causal Loop Diagram of Psychological Pressures and Unintended Haste in a Troubled Internet Start-Up
58(3)
References
61(2)
Chapter 3 Modelling Dynamic Systems 63(28)
Asset Stock Accumulation
63(7)
Accumulating a 'Stock' of Faculty at Greenfield University
65(4)
Asset Stocks in a Real Organisation - BBC World Service
69(1)
The Coordinating Network
70(2)
Modelling Symbols in Use: A Closer Look at Drug-related Crime
72(3)
Equation Formulations
75(5)
Drug-related Crime
76(1)
Funds Required to Satisfy Addiction
77(1)
Street Price and Price Change
78(1)
Allocation of Police
79(1)
Experiments with the Model of Drug-related Crime
80(9)
A Tour of the Model
80(2)
Escalating Crime - The Base Case
82(2)
Drilling Down to the Equations
84(2)
Anomalous Behaviour Over Time and Model Boundary
86(3)
Benefits of Model Building and Simulation
89(1)
References
90(1)
Chapter 4 World of Showers 91(18)
Getting Started
91(5)
Taking a Shower in World of Showers A
92(3)
Taking a Shower in World of Showers B
95(1)
Redesigning Your World of Showers
96(6)
Reflections on the World of Showers
98(2)
Metaphorical Shower Worlds in GlaxoSmithKline, IBM and Harley-Davidson
100(2)
Inside World of Showers
102(3)
A Tour of Formulations in the Comfort-seeking Loop of the Hidden Shower
102(3)
Interdependence of Showers - Coupling Formulations
105(1)
Simulations of World of Showers B
105(2)
References
107(2)
Chapter 5 Cyclical Dynamics and the Process of Model Building 109(60)
An Overview of the Modelling Process
109(8)
Dynamic Hypothesis and Fundamental Modes of Dynamic Behaviour
111(1)
Team Model Building
112(5)
Employment and Production Instability - Puzzling Performance Over Time
117(7)
Dialogue About Production Control
120(2)
Thought Experiment: A Surprise Demand Increase in an Ideal Factory
122(2)
Equation Formulations and Computations in Production Control
124(9)
Forecasting Shipments - Standard Formulations for Information Smoothing
126(1)
Inventory Control - Standard Formulations for Asset Stock Adjustment
127(1)
Desired Production
128(1)
The Computations Behind Simulation
129(4)
Modelling Workforce Management and Factory Production Dynamics
133(7)
Dialogue About Workforce Management
133(2)
Operating Constraint Linking Workforce to Production
135(1)
Simulation of the Complete Model: A Surprise Demand Increase in a Factory Where Production is Constrained by the Size of the Workforce
136(4)
Pause for Reflection
140(1)
Equation Formulations in Workforce Management
140(5)
Departure Rate - Standard Formulation for Stock Depletion
141(1)
Hiring - Standard Formulations for Asset Stock Replacement and Adjustment
142(2)
Workforce Planning
144(1)
Chronic Cyclicality in Employment and Production and How to Cure It
145(7)
The Curious Effect of Random Variations in Demand
145(2)
Industry Cyclicality and Business Cycles
147(1)
Policy Formulation and What-ifs to Improve Factory Performance
148(4)
Modelling for Learning and Soft Systems
152(10)
A Second Pause for Reflection: System Dynamics and Soft Systems
153(3)
A Link to Soft Systems Methodology
156(3)
Alternative Views of a Radio Broadcaster
159(3)
Appendix 1: Model Communication and Policy Structure Diagrams
162(2)
Appendix 2: The Dynamics of Information Smoothing
164(2)
References
166(3)
Chapter 6 The Dynamics of Growth from Diffusion 169(32)
Stocks and Flows in New Product Adoption - A Conceptual Diffusion Model
171(1)
The Bass Model - An Elegant Special Case of a Diffusion Model
172(10)
The Dynamics of Product Adoption by Word-of-mouth
175(2)
The Need to Kick-start Adoption
177(1)
The Complete Bass Diffusion Model With Advertising
177(2)
The Dynamics of Product Adoption by Word-of-mouth and Advertising
179(3)
A Variation on the Diffusion Model: The Rise of Low-cost Air Travel in Europe
182(7)
easyjet - A Bright Idea, but Will it Work?
182(1)
Visualising the Business: Winning Customers in a New Segment
183(3)
Visualising Retaliation and Rivalry
186(2)
Feedback Loops in the easyJet Model
188(1)
Strategy and Simulation of Growth Scenarios
189(5)
Using the Fliers Simulator to Create Your Own Scenarios
193(1)
Simulation, Predictions and Scenarios
194(1)
Conclusion
194(1)
Appendix: More About the Fliers Model
195(4)
Back to the Future - From easyJet to People Express and Beyond
197(2)
References
199(2)
Chapter 7 Managing Business Growth 201(70)
A Conceptual Model of Market Growth and Capital Investment
203(3)
Background to the Case
203(1)
Adopting a Feedback View
204(2)
Formulation Guidelines for Portraying Feedback Structure
206(9)
Review of Operating Policies and Information Flows in the Market Growth Model
209(1)
Customer Ordering
209(1)
Sales Force Expansion
210(1)
Budgeting
211(1)
Capital Investment
212(2)
Goal Formation
214(1)
An Information Feedback View of Management and Policy
215(7)
Information Available to Decision Makers and Bounded Rationality
217(3)
Nature of Decision Making and the Decision Process
220(2)
Policy Structure and Formulations for Sales Growth
222(4)
Sales Force Hiring - Standard Stock Adjustment Formulation
223(1)
Sales Force Budgeting - Revenue Allocation and Information Smoothing
223(2)
Order Fulfilment - Standard Stock Depletion Formulation
225(1)
Customer Ordering
226(1)
Policy Structure and Formulations for Limits to Sales Growth
226(5)
Customer Response to Delivery Delay - Non-linear Graphical Converter
228(1)
Customers' Perception of Delivery Delay - Information Smoothing
229(1)
Order Fulfilment and Capacity Utilisation
229(2)
Policy Structure and Formulations for Capital Investment
231(6)
Assessment of Delivery Delay
232(1)
Goal Formation - Weighted Average of Adaptive and Static Goals
232(1)
Capacity Expansion - Fractional Asset Stock Adjustment
233(3)
Production Capacity - Two-Stage Stock Accumulation
236(1)
Simulation Experiments
237(13)
Simulation of Sales Growth Loop
238(3)
Strength of Reinforcing Loop
241(1)
Simulation of Sales Growth and Customer Response Loops
242(4)
Simulation of the Complete Model with all Three Loops Active - The Base Case
246(4)
Redesign of the Investment Policy
250(6)
Top Management Optimism in Capital Investment
251(2)
High and Unyielding Standards - A Fixed Operating Goal for Delivery Delay
253(3)
Policy Design, Growth and Dynamic Complexity
256(10)
Conclusion
257(1)
Overview of Policy Structure
257(4)
Growth and Underinvestment at People Express?
261(1)
More Examples of Growth Strategies that Failed or Faltered - and One that Succeeded
262(2)
Growth Strategy for New Products and Services in a Competitive Industry
264(2)
Appendix Gain of a Reinforcing Loop
266(2)
References
268(3)
Chapter 8 Industry Dynamics - Oil Price and the Global Oil Producers 271(62)
Problem Articulation - Puzzling Dynamics of Oil Price
272(3)
Towards a Dynamic Hypothesis
274(1)
Model Development Process
275(3)
A Closer Look at the Stakeholders and Their Investment Decision Making
278(16)
Investment by the Independent Producers
279(1)
Development Costs
280(2)
Policy Structure and Formulations for Upstream Investment - Fractional Asset Stock Adjustment
282(2)
Oil Price and Demand
284(2)
The Swing Producer
286(2)
Quota Setting
288(2)
The Opportunists
290(1)
The Rise of Russian Oil - Incorporating Unforeseen Political Change
291(1)
The Shale Gale - Incorporating Unforeseen Technological Change
292(2)
Connecting the Pieces - A Feedback Systems View
294(6)
Two Invisible Hands and More
295(2)
The Visible Hand of OPEC
297(1)
Webs of Intrigue - Inside OPEC's Opulent Bargaining Rooms
297(3)
A Simple Thought Experiment: Green Mindset and Global Recession
300(1)
Using the Model to Generate Scenarios
301(26)
Archive Scenario 1: 10-Year Supply Squeeze Followed by Supply Glut
301(5)
Archive Scenario 2: Quota Busting in a Green World
306(3)
Scenario from the Mid-1990s to 2020: Asian Boom with Quota Busting, Cautious Upstream Investment and Russian Oil
309(5)
A High Price Scenario from the Mid-1990s to 2020: How to Push Oil Price Over $60 per Barrel
314(3)
A 2010-2034 Scenario: Subdued Global Oil Economy with Shale Gale and OPEC Supply Boost
317(5)
Modified 2010-2034 Scenario: Subdued Global Oil Economy with Shale Gale and Punitive Saudi Supply Control
322(2)
2010-2034 Thought Experiment: Subdued Global Oil Economy with a Shale Gale and Mooted US Supply Control - The 'Saudi America' Hypothesis
324(3)
Devising New Scenarios
327(2)
Effect of Global Economy and Environment on Demand
327(1)
Cartel Quota Bias
327(1)
Opportunists' Capacity Bias
328(1)
Oil Price Bias
328(1)
Capex Optimism
328(1)
Time to Build Trust in Russia (in Oil World 1995 and 2010)
329(1)
Endnote: A Brief History of the Oil Producers' Project
329(2)
References
331(2)
Chapter 9 Public Sector Applications of Strategic Modelling 333(70)
Urban Dynamics - Growth and Stagnation in Cities
334(6)
Urban Model Conceptualisation
335(5)
Medical Workforce Dynamics and Patient Care
340(21)
Background
341(1)
Medical Workforce Planning Model
342(4)
Quality of Patient Care
346(2)
Base Run - Changing Composition of the Medical Workforce
348(2)
Base Run - Quality of Patient Care
350(1)
Intangible Effects of the European Working Time Directive
351(1)
Modelling Junior Doctor Morale
351(2)
Overview of the Complete Model
353(1)
The Formulation of Work-Life Balance and Flexibility
354(1)
Simulations of the Complete Model
355(4)
Conclusions from the Medical Workforce Study
359(2)
Fishery Dynamics and Regulatory Policy
361(26)
Fisheries Management
361(2)
A Simple Harvested Fishery - Balancing Catch and Fish Regeneration
363(3)
A Harvested Fishery with Endogenous Investment - Coping with a Tipping Point
366(3)
Simulated Dynamics of a Harvested Fishery with Endogenous Investment
369(2)
Control and Regulation - Policy Design for Sustainable Fisheries
371(2)
Formulation of Deployment Policy
373(2)
Stock and Flow Equations for Ships at Sea, Ships in Harbour and Scrap Rate
375(1)
Simulated Dynamics of a Regulated Fishery - The Base Case
375(4)
Policy Design - A Higher Benchmark for Fish Density
379(2)
Dynamics of a Weakly Regulated Fishery
381(2)
Policy Design - Lower Exit Barriers Through Quicker Scrapping of Idle Ships
383(4)
Sustainability, Regulation and Self-Restraint
387(1)
Conclusion
387(1)
Appendix Alternative Simulation Approaches
388(10)
From Urban Dynamics to SimCity
389(1)
Discrete-event Simulation and System Dynamics
390(6)
Conclusions on Alternative Approaches to Simulation Modelling
396(2)
References
398(5)
Chapter 10 Model Validity, Mental Models and Learning 403(48)
Mental Models, Transitional Objects and Formal Models
404(2)
Models of Business and Social Systems
406(1)
Tests for Building Confidence in Models
407(3)
Model Confidence Building Tests in Action: A Case Study in Fast-moving Consumer Goods
410(2)
Soap Market Overview
410(1)
The Modelling Project
411(1)
Model Structure Tests and the Soap Industry Model
412(10)
Boundary Adequacy and Structure Verification Tests Applied to a Simple Soap Model
413(3)
A Refined View of the Market
416(1)
Boundary Adequacy and Sector Map of the Complete Soap Industry Model
417(2)
Managerial Decision-making Processes in the Old English Bar Soap Company
419(1)
Managerial Decision-making Processes in Global Personal Care
420(1)
Managerial Decision-making Processes in Supermarkets
421(1)
Equation Formulation Tests and the Soap Industry Model
422(14)
Substitution of Bar Soap by Shower Gel
423(1)
Brand Switching Between Competing Bar Soap Products
424(4)
Model Behaviour Tests and Fit to Data
428(4)
Tests of Fit on Simulations of the Soap Industry Model - The Base Case
432(4)
Tests of Learning from Simulation
436(5)
Comparing Simulations with Expectations and Interpreting Surprise Behaviour
436(1)
Partial Model Simulations to Examine Pet Theories and Misconceptions
437(1)
Family Member Tests
438(1)
Policy Implication Tests
439(1)
Understanding Competitive Dynamics in Fast-moving Consumer Goods
439(2)
Summary of Confidence Building Tests
441(3)
Conclusion - Model Fidelity and Usefulness
444(3)
Endnote: The Loops of Feedback
447(2)
References
449(2)
About the Website Resources 451(1)
Index 452
John Morecroft is Senior Fellow in Management Science and Operations at London Business School where he has taught system dynamics, problem structuring and strategy in MBA, PhD and Executive Education programmes. He served as Associate Dean of the School's Executive MBA and co-designed EMBA-Global, a dual degree programme with New York's Columbia Business School.