Foresight: The International Journal of Applied Forecasting
2005 - 2008
from International Institute of Forecasters Contact information at EDIRC. Series data maintained by Pam Stroud (). Access Statistics for this journal.
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2008, issue 9
- Thomas H. Davenport and Jeanne G. Harris’s Competing on Analytics: The New Science of Winning pp. 5-7

- Roy Batchelor
- Predicting the Demand for New Products pp. 8-10

- Paul Goodwin
- The Value of Information Sharing in the Retail Supply Chain: Two Case Studies pp. 12-17

- Tonya Boone and Ram Ganeshan
- Innovations in Sales Forecasting for Large-Scale Retailers pp. 18-24

- Bruce Andrews, James Bennett, Lindsey Howe, Brooks Newkirk and Joseph Ogrodowczyk
- Prediction Markets – A Guide to Practical Adoption in the Pharmaceutical Industry pp. 25-29

- Carol Gebert
- Prediction Markets – Defining Events and Motivating Participation pp. 30-32

- Andreas Graefe
- A Primer on Prediction Markets pp. 33-35

- Joe Miles
- Monte Carlo Simulation/Risk Analysis on a Spreadsheet: Review of Three Software Packages pp. 36-41

- Sam Sugiyama
- “Been There, Done That”: Perils, Pitfalls, and Promises of Long-Term Projections pp. 43-48

- Ira Sohn
2007, issue 8
- Good and Bad Judgment in Forecasting: Lessons from Four Companies pp. 5-10

- Robert Fildes and Paul Goodwin
- A Guide to Delphi pp. 11-16

- Gene Rowe
- Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared pp. 17-20

- Kesten Charles Green, J. Scott Armstrong and Andreas Graefe
- Key Assumptions in Calculating the Cost of Forecast Error. A commentary on Peter Catt’s article, Assessing the Cost of Forecast Error, in Issue 7 of Foresight pp. 22-24

- John Boylan
- Use of the Normal Distribution in Calculating the Cost of Forecast Error pp. 25-26

- Thomas R. Willemain
- Supply Risk and Costing Challenges pp. 26-27

- Michael E. Smith
- Lost Sales and Customer Service pp. 28

- Scott Roy
- Reply to “Cost of Forecast Error” Commentaries pp. 29-30

- Peter M. Catt
- How to Project Patient Persistency pp. 31-35

- Ka Lok Lee, Peter Fader and Bruce Hardie
- The Keys to the White House: Forecast for 2008 pp. 36-40

- Allan J. Lichtman
- Bayesian Forecasting Methods for Short Time Series pp. 41-44

- Enrique de Alba and Manuel Mendoza
- Book Review of Mirror, Mirror, Who’s the Best Forecaster of Them All? (by Michael F. Bryan and Linsey Molloy of the Federal Reserve Bank of Cleveland) pp. 45-46

- Bill Bassin
2007, issue 7
- Assessing the Cost of Forecast Error: A Practical Example pp. 5-10

- Peter Maurice Catt
- An Expanded Prediction-Realization Diagram for Assessing Forecast Errors pp. 11-16

- Roy Pearson
- Use Scaled Errors Instead of Percentage Errors in Forecast Evaluations pp. 17-22

- Lauge Valentin
- S&OP, Forecasting, and the Knowledge-Creating Company pp. 23-27

- John Mello and Terry Esper
- Decision-Directed Forecasting for Major Disruptions: The Impact of 9/11 on Las Vegas Gaming Revenues pp. 29-35

- Stephen Custer and Don Miller
- How to Get Good Forecasts from Bad Data pp. 36-40

- Ellen Bonnell
- The Forecaster as Leader of the Forecasting Process pp. 41-44

- James Borneman
- Forecasting Software: A Progress Report for the First Seven Years of the 21st Century pp. 45-48

- Jim Hoover
- Book Review of Forecasting the Retail Supply Chain, by Andre Martin, Mike Doherty, and Jeff Harrop pp. 49-51

- Carolyn Allmon
- Supermarket Forecasting: Check Out Three New Approaches pp. 53-55

- Paul Goodwin
2007, issue 6
- Confessions of a Pragmatic Forecaster pp. 3-10

- Chris Chatfield
- Minimum Sample Size requirements for Seasonal Forecasting Models pp. 12-15

- Rob Hyndman and Andrey V. Kostenko
- Forecasting Short Seasonal Time Series Using Aggregate and Analogous Series pp. 16-20

- Michael Leonard
- Seasonality Shrinkage Procedures for Small Samples pp. 21-23

- Dan Williams
- Constant vs. Changing Seasonality pp. 24-25

- Philip Hans Franses
- Hot New Research: Recent Studies on Forecasting Know-How, Training, and Information Sharing pp. 26-28

- Paul Goodwin
- Forecast Uncertainty and Monte Carlo Simulation pp. 29-37

- Sam Sugiyama
- Book Review of Kenneth Kahn's New Product Forecasting: An Applied Approach pp. 38-39

- Steven Schnaars
- Advantages of the MAD/Mean Ratio over the MAPE pp. 40-43

- Stephan Kolassa and Wolfgang Schütz
- Forecasting the 2006 Democratic Takeover of the U.S. House of Representatives pp. 45-50

- Carl E. Klarner and Stan Buchanan
2006, issue 5
- Should the Forecasting Process Eliminate Face-to-Face Meetings? pp. 3-8

- J. Scott Armstrong
- To Include or Exclude an Explanatory Variable: Beware of Rules of Thumb pp. 16-21

- Peter Kennedy
- Oliva and Watson describe how organizational biases arise from the different incentives, agendas, and blind spots of the various functional areas of a business and how they compromise forecast accuracy and disrupt the supply chain process. They present a case study-the Leitax Corporation-of how one organization successfully used consensus forecasting to manage against functional blind spots and incentive misalignments. Copyright International Institute of Forecasters, 2006 pp. 27-31

- Rogelio Oliva and Noel Watson
- How to Predict a Movie's Success at the Box Office pp. 32-36

- Ramesh Sharda and Dursun Delen
- A Retrospect on Forecasting Midterm Elections to the U. S. House of Representatives pp. 37-42

- Randall J. Jones and Alfred G. Cuzan
- Software Reviews: Forecasting with SAP pp. 43-44

- Foresight Software Editor Ulrich Kusters
- The New SAP Forecasting and Replenishment Solution: Is It an Improvement over mySAP ERP? pp. 45-50

- Norman Gotz and Carsten Kohler
- Forecasting for WorldWide Supply Chain Processes with SAP's APO pp. 51-54

- Christoph Seeger
2006, issue 4
- Nano Forecasting: Forecasting Techniques for Short-Time Intervals pp. 6-10

- Jay Minnucci
- Forecasting Call Flow in a Direct Marketing Environment pp. 11-15

- Peter Varisco
- Forecasting Weekly Effects of Recurring Irregular Occurrences pp. 16-18

- Dan Rickwalder
- Transformation Lessons from Coca-Cola Enterprises Inc.: Managing the Introduction of a Structured Forecast Process pp. 21-25

- Simon Clarke
- Breaking Down the Barriers to Forecast Process Improvement pp. 26-30

- Mark Moon
- Measuring Forecast Accuracy: Omissions in Today's Forecasting Engines and Demand-Planning Software pp. 32-35

- Jim Hoover
- Forecast Accuracy Metrics for Intermittent Demands: Look at the Entire Distribution of Demands pp. 36-38

- Tom Willemain
- Accuracy and Accuracy Implication Metrics for Intermittent Demand pp. 39-42

- John Boylan and Aris Syntetos
- Another Look at Forecast Accuracy Metrics for Intermittent Demand pp. 43-46

- Rob Hyndman
- Lessons from Thomas Edison's Technological and Social Forecasts pp. 47-52

- Steven Schnaars
- Tips for Forecasting Semi-new products pp. 53-56

- Bill Tonetti
- Book Review of Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets. By Nassim Nicholas Taleb (2204) pp. 57-59

- Anirvan Banerji
2006, issue 3
- Keys to the White House: Forecast for 2008 pp. 5-9

- Allan Lichtman
- The Keys to the White House: Forecast for 2008 pp. 10-13

- J. Scott Armstrong and Alfred Cuzan
- Measuring the Efficiency of an Informal Forecasting Process pp. 16-21

- Robert Samohyl
- Forecasting as a Business Process Diagnostic pp. 22-26

- Mario Sepulveda-Guzman, Michael Smith and George Mechling
- Increasing the Credibility of Your Forecasts: 7 Suggestions pp. 27-32

- Roy Pearson
- Credit Scoring: The State of the Art pp. 33-37

- Lyn Thomas
- Incorrect Nonlinear Trend Curves in Excel pp. 39-43

- Rick Hesse,
- The Unreliability of Excel's Statistical Procedures pp. 44-45

- Bruce McCullough
- On the Use and Abuse of Microsoft Excel pp. 46-47

- Paul Fields
- Book Review of Dow 36,000: The New Strategy for Profiting from the Coming Rise in the Stock Market, by James Glassman and Kevin Hassett (1999) pp. 48-50

- Roy Batchelor
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