Access Statistics for J. Scott Armstrong

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Working Paper File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
A Comparative Study of Methods for Long-Range Market Forecasting 0 0 0 2 3 4 7 38
A Comparative Study of Methods for Long-Range Market Forecasting 0 0 0 190 1 3 6 706
Advocacy and Objectivity in Science 0 0 0 79 0 0 2 607
An Application of Econometric Models to International Marketing 0 0 0 16 3 4 7 47
Analyzing Quantitative Models 0 0 1 5 1 1 4 25
Analyzing Quantitative Models 0 0 0 550 0 1 2 3,175
Are Null Results Becoming an Endangered Species in Marketing? 0 0 0 40 3 4 6 395
Are Student Ratings of Instruction Useful? 0 0 0 98 0 1 3 380
Assessing Game Theory, Role Playing, and Unaided Judgment 0 0 0 1 2 3 7 26
Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts 0 0 0 24 1 3 4 34
Barriers to Scientific Contributions: The Author’s Formula 0 0 1 80 0 3 7 483
Benchmark forecasts for climate change 0 0 1 69 0 0 4 232
Book Review: Intentional Changes: A Fresh Approach to Helping People Change, by Allen Tough, Chicago: Follette Publishing Co., 1982 0 0 0 36 1 1 2 302
Brand Trial After a Credibility Change 0 0 0 43 1 1 6 328
Brief vs. Comprehensive Descriptions in Measuring Intentions to Purchase 0 0 0 118 11 13 14 453
Brief vs. comprehensive descriptions in measuring intentions to purchase 0 0 0 2 0 0 1 46
Business School Prestige ^V Research versus Teaching 0 0 0 98 1 2 3 513
Causal Forces: Structuring Knowledge for Time-series Extrapolation 0 0 1 141 1 3 7 813
Cheating in Management Science (with Comments by M. K. Starr and M. J. Mahoney) 0 0 0 55 0 0 3 359
Class of Mail Does Affect Response Rates to Mailed 0 0 0 24 1 2 3 319
Class of Mail Does Affect Response Rates to Mailed Questionnaires: Evidence from Meta-analysis 0 0 0 1 2 4 5 14
Commentary by J. Scott Armstrong on Fildes et al.: Generalizing about univariate forecasting methods: further empirical evidence 0 0 0 34 5 6 8 258
Commentary on the Makridakis Time Series Competition (M- Competition) 0 0 0 526 0 3 7 1,815
Communication of Research on Forecasting: The Journal 0 0 0 53 0 0 1 240
Competitor Orientation: Effects of Objectives and Information on Managerial Decisions and Profitability 0 0 0 23 2 7 8 132
Competitor-oriented Objectives: The Myth of Market Share 0 0 1 4 2 2 7 71
Competitor-oriented Objectives: The Myth of Market Share 0 0 3 233 3 5 19 767
Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods 0 0 0 124 1 3 6 437
Damped Seasonality Factors: Introduction 0 0 0 72 0 0 2 371
Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series 0 0 0 151 3 7 10 750
Demand Forecasting: Evidence-based Methods 0 0 5 1,076 2 9 23 5,355
Derivation of Theory by Means of Factor Analysis or Tom Swift and His Electric Factor Analysis Machine 0 0 0 181 1 3 5 751
Derivation of theory by means of factor analysis or Tom Swift and his electric factor analysis machine 0 0 0 3 1 2 5 28
Designing and Using Experiential Exercises 0 0 0 343 3 8 11 2,222
Discovery and Communication of Important Marketing Findings: Evidence and Proposals 0 0 0 99 1 3 4 958
Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings? 0 0 0 21 1 1 2 224
Eclectic Research and Construct Validation 0 0 0 98 0 0 2 926
Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups 0 0 0 122 2 5 9 1,082
Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups 0 0 0 0 0 2 4 12
Effects of Objectives and Information on Managerial Decisions and Profitability 0 0 0 213 2 3 6 1,206
Effects of Portfolio Planning Methods on Decision Making: Experimental Results* 0 0 0 264 3 6 9 1,196
Effects of corporate social responsibility and irresponsibility policies 0 0 0 56 2 5 7 193
Effects of portfolio planning methods on decision making: experimental results 0 0 0 4 3 3 5 50
Escalation Bias: Does It Extend to Marketing? 0 1 1 63 1 4 6 1,039
Escalation bias: does it extend to marketing? 0 0 0 0 1 2 5 24
Estimating Nonresponse Bias in Mail Surveys 0 1 3 17 22 56 66 321
Estimating Nonresponse Bias in Mail Surveys 0 0 0 620 13 22 32 2,264
Evaluation of Extrapolative Forecasting Methods: Results of a Survey of Academicians and Practitioners 0 0 0 218 0 1 6 986
Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan? 0 0 0 3 1 2 3 41
Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan? 0 0 0 419 2 2 5 1,402
Evidence on the effects of mandatory disclaimers in advertising 1 2 2 43 2 3 8 113
Exploratory Analysis of Marketing Data: Trees vs. Regression 0 0 0 7 1 4 7 51
Forecasting Elections from Voters’ Perceptions of Candidates’ Positions on Issues and Policies 0 0 0 52 3 4 7 187
Forecasting Methods for Conflict Situations 0 0 0 105 2 3 5 722
Forecasting Methods for Marketing:* Review of Empirical Research 0 0 0 463 0 1 4 1,934
Forecasting by Extrapolation: Conclusions from 25 Years of Research 0 1 1 163 2 7 9 598
Forecasting elections using expert surveys: an application to U.S. presidential elections 0 0 0 75 2 2 6 218
Forecasting for Environmental Decision Making 0 0 0 81 0 2 4 288
Forecasting for Environmental Decision Making 0 0 0 145 1 4 8 569
Forecasting for Marketing 0 0 0 4 1 4 7 37
Forecasting for Marketing 0 0 1 523 4 10 16 2,488
Forecasting with Econometric Methods: Folklore Versus Fact 0 0 0 1 3 5 11 25
Global warming: Forecasts by scientists versus scientific forecasts 0 0 0 168 0 2 9 382
Golden Rule of Forecasting: Be conservative 0 0 0 86 10 13 17 319
How Expert Are the Experts? 0 0 0 119 2 3 5 388
How Expert Are the Experts? 0 0 0 43 3 7 10 189
How Serious are Methodological Issues in Surveys? A Reexamination of the Clarence Thomas Polls^T 0 0 0 28 0 0 1 262
How to Avoid Exploratory Research 0 0 0 282 3 4 5 1,423
How to avoid exploratory research 0 0 0 2 1 2 4 30
Hypotheses in Marketing Science: Literature Review and Publication Audit 0 0 1 251 1 5 10 1,444
Illusions in Regression Analysis 0 0 2 6 0 4 9 47
Improving Learning at Universities: Who is Responsible? 0 0 0 112 0 0 3 275
Incentives for Developing and Communicating Principles: A Reply 0 0 0 20 1 3 5 207
Integration of Statistical Methods and Judgment for Time Series 0 0 0 145 1 5 7 525
Is Review By Peers As Fair As It Appears? 0 0 0 43 1 2 5 244
Learner Responsibility in Management Education, or Ventures into Forbidden Research (with Comments) 0 0 0 31 2 3 5 245
Market Share Superstition (Letter) 1 1 1 38 1 1 3 306
Market Share Superstition (Letter) 0 0 0 32 2 4 7 256
Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared 0 0 1 118 12 17 25 473
Monetary Incentives in Mail Surveys 0 0 1 125 5 5 7 548
Monetary incentives in mail surveys 0 0 0 1 6 7 8 29
Moneyball: a Message for Managers 0 0 0 4 1 1 4 26
Natural Learning in Higher Education 0 0 2 15 0 1 10 101
On the Effectiveness of Marketing Planning 0 0 0 160 1 2 6 568
On the Interpretation of Factor Analysis 0 0 0 1,303 2 3 6 4,529
On the interpretation of factor analysis 0 0 0 6 0 1 3 24
Peer Review for Journals: Evidence on Quality Control, Fairness, and Innovation 0 0 0 159 2 3 7 774
Polar Bear Population Forecasts: A Public-Policy Forecasting Audit 0 0 0 146 2 2 5 1,687
Portfolio Planning Methods: Faulty Approach or Faulty Research? A Rejoinder to 'Making Better Decisions' by Wensley 0 0 0 84 0 3 5 597
Predicting Elections from Biographical Information about Candidates 0 0 0 80 1 2 6 599
Predicting The Outcome of Marketing Negotiations: Role-Playing versus Unaided Opinions 0 0 0 134 0 4 5 947
Predicting elections from politicians’ faces 0 0 0 83 8 12 16 818
Predicting job performance: A comparison of expert opinion and research findings* 0 0 0 226 1 2 5 1,260
Prediction of Consumer Behavior by Experts and Novices 0 0 0 6 1 1 3 44
Principles Involving Marketing Policies: An Empirical Assessment 0 0 0 409 2 4 6 2,422
Publication Bias Against Null Results 0 1 1 61 3 4 7 350
Publishing Standards for Research in Forecasting (Editorial) 0 0 0 46 3 4 6 261
Quality Control Versus Innovation in Research on Marketing 0 0 0 130 3 5 8 709
Readability and Prestige in Scientific Journals 0 0 0 72 0 1 3 446
Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project, with Reply to Commentators 0 0 0 96 1 2 4 875
Relative Accuracy of Judgmental and Extrapolative Methods in Forecasting Annual Earnings 0 0 0 62 1 4 6 384
Replications and Extensions in Marketing – Rarely Published But Quite Contrary* 0 0 0 84 0 1 3 446
Research on Forecasting: A Quarter-Century Review, 1960-1984 0 0 0 111 2 4 5 408
Research on Scientific Journals: Implications for Editors and Authors 0 0 0 83 1 2 7 398
Return Postage in Mail Surveys: A Meta Analysis 0 0 0 1 0 1 2 25
Return Postage in Mail Surveys: A Meta Analysis 0 0 0 73 1 1 4 638
Review of Co-opetition by Adam M. Brandenburger and Barry J. Nalebuff 1 3 3 20 6 13 30 120
Review of Don A. Dillman's Mail and Telephone Surveys, New York: John Wiley & Sons, 1978 0 0 0 174 0 2 3 1,313
Review of Peter W. Huber, Liability: The Legal Revolution and Its Consequences, New York: Basic Books, Inc., 1988 0 0 0 128 0 1 5 796
Review of Ravi Batra, The Great Depression of 1990 0 1 1 3 1 7 11 36
Review of Ravi Batra, The Great Depression of 1990 (Simon and Schuster, New York, 1985) 0 0 1 397 7 10 16 3,018
Review of Steven J. Rosenstone, Forecasting Presidential Elections (published by Yale University Press, New Haven, CT, 1983)) 0 1 1 104 0 3 5 590
Review of: Predicting Presidential Elections and Other Things 0 0 0 67 1 4 5 289
Role Conflict: Society’s Dilemma with Excellence in Marketing 0 0 0 150 0 0 1 972
Role thinking: Standing in other people’s shoes to forecast decisions in conflicts 0 0 0 81 1 1 2 213
Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations 0 0 0 257 1 6 8 1,046
Sales Forecasts for Existing Consumer Products and Services: Do Purchase Intentions Contribute to Accuracy? 0 0 0 4 7 7 13 68
Should We Redesign Forecasting Competitions? 0 0 0 48 2 6 8 223
Significance Tests Harm Progress in Forecasting 0 0 0 2 2 4 7 34
Social Irresponsibility in Management 0 0 0 94 0 1 2 660
Strategic Planning And Forecasting Fundamentals 0 0 0 1,492 2 5 12 7,259
Strategic Planning Improves Manufacturing Performance 0 0 0 283 1 2 7 893
Strategic Planning Improves Manufacturing Performance 0 0 0 4 0 0 1 15
Strategic Planning and Forecasting Fundamentals 0 0 0 11 1 3 5 63
Strategies for Implementing Change: An Experiential Approach 0 0 0 247 1 3 5 1,437
Structured Analogies for Forecasting 0 0 0 161 0 0 4 780
Structured analogies for forecasting 0 0 0 68 4 11 14 282
Teacher vs. Learner Responsibility in Management Education 0 0 0 103 0 1 2 551
Teacher vs. Learner Responsibility in Management Education 0 0 0 197 0 1 2 1,220
The Case for Minimum Teaching Standards 0 0 1 47 0 1 3 224
The Case for Minimum Teaching Standards 0 0 0 40 0 2 4 230
The Case of the Detrimental Drug: Implications for the Stakeholder Theory of Directorship 0 0 0 38 1 1 2 419
The Case of the Detrimental Drug: Implications for the Stakeholder Theory of Directorship 0 0 0 25 1 1 3 348
The Devil s Advocate Responds to an MBA Student s Claim that Research Harms Learning 0 0 0 192 2 4 6 729
The Graffiti Problem 0 0 2 371 1 1 7 4,004
The Graffiti Solution 0 0 1 169 0 0 3 1,297
The Importance of Objectivity and Falsification in Management Science 0 0 1 96 0 0 8 1,038
The Manager’s Dilemma: Role Conflict in Marketing 0 0 0 180 1 3 6 992
The Natural Learning Project 0 0 1 48 2 3 5 308
The Panalba Role Playing Case 0 0 1 257 3 6 12 1,098
The Profitability of Winning 0 0 0 70 0 0 2 312
The Seer-Sucker Theory: The Value of Experts in Forecasting 0 0 3 405 2 6 25 2,989
The Value of Formal Planning for Strategic Decisions: A Reply 0 0 1 280 0 0 4 1,437
The Value of Surprising Findings for Research on Marketing 0 0 0 73 1 2 5 309
The value of formal planning for strategic decisions: review of empirical research 0 0 0 6 4 6 12 58
The war in Iraq: Should we have expected better forecasts? 0 0 0 69 1 2 6 421
Tom Swift and His Electric Regression Analysis Machine: 1973 0 0 0 97 0 1 4 445
Value of Expertise For Forecasting Decisions in Conflicts 0 0 0 48 1 4 5 287
Verification of Citations: Fawlty Towers of Knowledge? 0 0 1 85 4 5 9 328
Would Mandatory Attendance Be Effective for Economics Classes? 0 0 0 81 1 2 5 435
Would Mandatory Attendance Be Effective for Economics Classes? 0 0 0 80 2 3 4 458
Total Working Papers 3 12 48 20,510 281 575 1,073 108,618

Journal Article File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
"How useful are the forecasts of intergovernmental agencies? The IMF and OECD versus the consensus": Batchelor, Roy (2001), Applied Economics, 33, pp. 225-235. E-mail address: R.A.Batchelor@city.bc.uk 0 0 0 67 3 3 5 241
A Comparative Study of Methods for Long-Range Market Forecasting 0 0 0 9 0 2 5 60
A case study of expert judgment: Economists probabilities versus base-rate model forecasts: Phillip A. Braun and Ilan Yaniv, Journal of behavioral decision making, 5 (1992), 217-231 0 0 1 78 0 1 4 218
A cautionary tale about multiple regression: Milton Friedman (the appendix to "Alternative approaches to analyzing economic data' Milton Friedman and Anna J. Schwartz), American Economic Review 81 (1991) 48-49 0 0 2 93 1 1 10 333
Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries 0 0 0 2 0 1 3 8
Accuracy of judgmental forecasts: A comparison: R. Nada Sanders, Omega, 20 (1992) 353-364 0 0 0 79 0 0 1 249
Advocacy and Objectivity in Science 0 0 0 6 2 2 3 66
An analysis of the accuracy ot "trial heat" polls during the 1992 presidential election: Richard R. Lau, 1994, Public opinion quarterly, 58, 2-20 0 0 0 32 1 1 2 195
An application of rule-based forecasting to a situation lacking domain knowledge 0 0 0 32 0 1 4 175
Assessing game theory, role playing, and unaided judgment 0 0 1 23 1 2 5 184
Automatic identification of time series features for rule-based forecasting 0 0 0 39 2 4 5 232
Beyond accuracy: Comparison of criteria used to select forecasting methods 0 0 0 61 1 2 8 292
Combined Forecasts of the 2008 Election: The Pollyvote 0 0 0 17 1 2 3 368
Combined Forecasts of the 2012 Election: The PollyVote 0 0 2 14 0 2 6 75
Combining forecasts: An application to elections 0 0 1 17 0 1 6 89
Combining forecasts: The end of the beginning or the beginning of the end? 0 0 0 27 2 4 5 132
Communication of research on forecasting: The journal 0 0 0 6 0 0 2 51
Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task 0 0 0 2 2 6 7 59
Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task 0 0 0 12 0 0 3 148
Conditions under which index models are useful: Reply to bio-index commentaries 0 0 0 6 0 2 4 81
Damped seasonality factors: Introduction 0 0 0 16 0 0 4 113
Decomposition by causal forces: a procedure for forecasting complex time series 0 0 0 31 1 2 6 175
Decomposition of time-series by level and change 0 0 0 6 1 4 6 44
Discovery and communication of important marketing findings: Evidence and proposals 0 0 1 34 0 4 9 257
Econometric Forecasting and the Science Court 0 0 0 16 0 0 2 144
Editorial 0 0 0 1 0 0 1 19
Editorial policies for the publication of controversial findings 0 0 0 12 5 5 7 74
Editorial: Reflections on forecasting in the 1980's 0 0 0 13 0 0 1 84
Effects of corporate social responsibility and irresponsibility policies 0 0 0 16 1 6 10 269
Error measures for generalizing about forecasting methods: Empirical comparisons 1 2 5 293 8 18 30 1,002
Expert opinions about extrapolation and the mystery of the overlooked discontinuities 0 0 0 14 1 3 15 150
Factors affecting new product forecasting accuracy in new firms: William B. Gartner, and Robert J. Thomas, 1993, Journal of Productive Innovation Management, 10, 35-52 0 0 1 133 1 2 6 492
Finding public opinion data: A guide to sources: Tom W. Smith and Frederick D. Weil, Public Opinion Quarterly, 54 (1990), 609-626 0 0 0 10 1 2 3 97
Findings from evidence-based forecasting: Methods for reducing forecast error 0 0 1 60 2 4 9 272
Forecasting by Extrapolation: Conclusions from 25 Years of Research 1 1 1 2 3 3 5 20
Forecasting methods and principles: Evidence-based checklists 1 1 2 7 7 13 27 91
Forecasting of software development work effort: Introduction 0 0 0 35 1 1 3 149
Forecasting practices in US corporations: Survey results: Nada Sanders and Karl B. Manrodt, 1994, interfaces, 24, 92-100 0 0 0 253 0 0 4 649
Forecasting with Econometric Methods: Folklore versus Fact 0 0 0 83 0 3 4 318
Forecasts of the 2012 US Presidential Election based on Candidates’ Perceived Competence in Handling the Most Important Issue* 0 0 0 2 1 5 6 20
From the editors 0 0 0 7 1 1 5 54
Generalization and communication issues in the use of error measures: A reply 0 0 0 17 2 2 3 116
Global Warming: Forecasts by Scientists Versus Scientific Forecasts 0 0 0 4 2 2 5 27
Golden rule of forecasting rearticulated: Forecast unto others as you would have them forecast unto you 0 0 0 4 1 3 10 39
Golden rule of forecasting: Be conservative 0 0 0 14 2 6 9 123
Harvard Business Review: David M. Georgoff and Robert G. Murdick, manager's guide to forecasting, 64 (Jan-Feb.) (1986) 110-120 0 2 5 856 1 4 9 1,996
Heuristics, biases and improvement strategies in judgmental time series: P. Goodwin and G. Wright, 1994, Omega, 22, 553-568 0 0 1 49 0 2 5 164
How We Computed the Pollyvote 0 0 0 37 0 0 1 185
Identification of Asymmetric Prediction Intervals through Causal Forces 0 0 0 0 2 3 5 181
International journal of public administration: Lance Eliot Brouthers, parties, ideology and elections: The politics of federal revenues and expenditures forecasting, 8 (1986) 289-314 0 0 0 25 0 0 1 260
J. Scott Armstrong, Forecasting by extrapolation: Conclusions from 25 years of research, Interfaces 14 (1984), pp. 52-66 0 0 0 46 1 1 2 187
Journal of business forecasting: John Hanke and Pam Weigand, 1994, What are business schools doing to educate forecasters, Fall, 10-12 0 0 0 114 0 0 3 966
Journal of economic literature: Clifford Winston, 1993, Economic deregulation: Days of reckoning for microeconomists, 31, 1263-1289 0 0 0 145 2 6 11 494
Journal of personality and social psychology: Osberg, Timothy M. and J. Sidney Shrauger, Self-prediction: Exploring the parameters of accuracy, 51 (1986), 1044-1057 0 0 0 33 0 1 5 284
Judgmental decomposition: when does it work? 0 0 1 24 1 2 5 175
Making progress in forecasting 0 0 1 25 1 2 5 94
Management science: D. Bunn and G. Wright, "Interaction of Judgmental and Statistical Forecasting Methods: Issues and Analysis", 37 (1991) 501-518 0 0 0 68 1 1 3 191
Marketing letters: Barry L., Bayus, (1992), Have diffusion rates been accelerating over time? 3 215-226 0 0 0 62 0 0 3 304
Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared 0 0 0 95 2 7 12 648
Municipal forecasting practice: 'Demand' and 'supply' side perspectives": Howard A. Frank and Jane McCollough, International Journal of Public Administration, 15 (1992) 1669-1696 0 0 0 31 0 0 3 155
Omega 21: G.L. Riddington, (1993), Time varying coefficient models and their forecasting performance, 573-583 0 0 0 38 0 0 1 147
Organizational behavior and human decision processes: Wagenaar, Willem A. and G.B. Keren, The seat belt paradox: Effect off accepted roles on information seeking,, 38 (1986), 1-6 0 0 0 24 0 0 2 177
P.E. Tetlock, Expert political judgment: How good is it? How can we know?, Princeton University Press (2006) ISBN 978-0-691-12871-9 Paperback, 352 pp 0 0 0 103 1 2 6 307
Polar Bear Population Forecasts: A Public-Policy Forecasting Audit 0 0 0 2 1 2 3 23
Predicting Job Performance: The Moneyball Factor 0 0 0 43 1 3 4 199
Predicting Presidential Elections and Other Things,: Ray C. Fair. Stanford University Press: Stanford, CA, 2002, 168 pp., Hardback, ISBN 0-8047-4509-9, $26.00 0 0 0 32 1 2 3 222
Predicting elections from biographical information about candidates: A test of the index method 1 1 2 10 4 7 11 71
Predicting insurance agent turnover using a video-based judgement test: Anthony T. Dalessio, 1994, Journal of Business an Psychology, 9, 23-32 0 0 0 52 0 0 2 262
Predicting job performance: A comparison of expert opinion and research findings 0 0 0 28 0 2 6 144
Prediction of Consumer Behavior by Experts and Novices 0 0 0 9 2 5 8 460
Public opinion quarterly: Jacob Shamir, preelection polls in Israel: Structural constraints on accuracy, 50 (1986) 62-75 0 0 0 8 0 1 2 95
Public opinion quarterly: James B. Lemert, picking the winners: Politician vs. voter predictions of two controversial ballot measures, 50 (1986) 208-221 0 0 0 9 0 1 2 109
Public opinion quarterly: Steven J. Rosenstone, John Mark Hansen, and Donald R. Kinder, measuring change in personal economic well-being, 50 (1986) 176-192 0 0 0 18 0 0 1 154
Public opinion quarterly: Tom W. Smith and Frederick D. Weil, "Finding public opinion data: A guide to sources" 54 (1990) 609-626 0 0 0 19 0 0 1 185
Public opinion quarterly: William Buchanan, election predictions: An empirical assessment, 50 (1986) 222-227 0 0 0 14 1 1 2 75
Publication of research on controversial topics: The early acceptance procedure 0 0 0 12 0 0 1 195
Replication research's disturbing trend 0 0 1 51 1 3 7 193
Replications of forecasting research 0 0 0 17 3 3 4 84
Research Report—Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts 0 0 0 0 0 1 1 6
Research on Forecasting for the Manmade Global Warming Alarm 0 0 0 1 0 0 1 17
Research with In-built replications: Comment and further suggestions for replication research 0 0 0 3 0 1 2 43
Role thinking: Standing in other people's shoes to forecast decisions in conflicts 0 0 0 10 1 1 7 190
Role thinking: Standing in other people’s shoes to forecast decisions in conflicts 0 0 0 1 1 2 5 36
Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations 0 0 4 16 0 2 9 94
Sales forecasts for existing consumer products and services: Do purchase intentions contribute to accuracy? 0 0 0 70 3 7 14 384
Should the Forecasting Process Eliminate Face-to-Face Meetings? 0 0 0 72 0 2 4 256
Significance tests harm progress in forecasting 0 0 0 25 3 4 5 136
Simple versus complex forecasting: The evidence 0 0 1 36 11 16 26 214
Social irresponsibility in management 0 0 1 44 5 9 16 254
Statistical significance tests are unnecessary even when properly done and properly interpreted: Reply to commentaries 0 0 0 78 4 6 7 231
Structured analogies for forecasting 0 1 1 37 1 4 7 227
The Forecasting Canon: Nine Generalizations to Improve Forecast Accuracy 0 0 0 115 0 2 7 324
The Keys to the White House: Forecast for 2008 0 0 0 103 0 1 5 505
The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review 0 1 1 4 0 2 4 31
The Ombudsman: Business School Prestige—Research versus Teaching 0 0 0 2 4 5 6 22
The Ombudsman: Cheating in Management Science 0 0 0 2 1 1 2 10
The Ombudsman: Is Review By Peers As Fair As It Appears? 0 0 0 1 2 2 3 11
The Ombudsman: Is the Evidence Sufficient to Take Action on Executive Pay? Reply to Commentators 0 0 0 0 1 2 3 9
The Ombudsman: Learner Responsibility in Management Education, or Ventures into Forbidden Research 0 0 0 1 0 2 13 22
The Ombudsman: Management Folklore and Management Science—On Portfolio Planning, Escalation Bias, and Such 0 0 0 0 2 4 7 11
The Ombudsman: Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project 0 0 0 0 1 4 6 13
The Ombudsman: Research on Forecasting: A Quarter-Century Review, 1960--1984 0 0 0 3 5 5 6 23
The Ombudsman: Value of Expertise for Forecasting Decisions in Conflicts 0 0 0 0 0 1 3 12
The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge? 0 0 0 0 1 2 5 11
The PollyVote’s Year-Ahead Forecast of the 2012 U.S. Presidential Election 0 0 0 4 0 0 3 62
The War in Iraq: Should We Have Expected Better Forecasts? 0 0 0 12 0 0 3 126
The fertile field of meta-analysis: Cumulative progress in agricultural forecasting 0 0 0 7 1 1 2 64
The forecasting accuracy of market share models using predicted values of competitive marketing behavior: Karel J. Alsem, Peter S.H. Leeflang and Jan C. Reuyl, International Journal of Research in Marketing 6 (1989) 183-198 0 0 0 127 0 0 3 428
The great depression of 1990: Ravi Batra, (Simon and Schuster, New York, 1985) pp. 235, $14.95 0 0 0 54 2 3 7 267
The impact of empirical accuracy studies on time series analysis and forecasting: R. Fildes and S. Makridakis, 1995, International Statistical Review, 63, 289-308 0 0 5 99 0 0 8 245
The uses and abuses of consensus forecasts: Stephen K. McNees,Journal of forecasting, 11 (1992) 703-710 0 0 0 136 0 0 2 309
The validity of employment interviews: A comprehensive review and meta-analysis: Michael A. McDaniel, D.L. Whetzel, F.L. Schmidt and S.D. Maurer, 994, Journal of Applied Psychology, 79, 599-615 0 0 2 330 5 9 20 946
The value of formal planning for strategic decisions: Reply 0 0 0 1 1 2 4 18
The value of formal planning for strategic decisions: Review of empirical research 1 1 3 5 5 8 19 44
The value of surprising findings for research on marketing 0 0 0 18 1 2 3 108
Unintelligible Management Research and Academic Prestige 0 0 0 3 4 5 12 31
Validity of an honeesty test in predicting theft among convenience store employees: H. John Bernardin and D.K. Cooke, 1993 Academy of Management Journal, 36, 1097-1108 0 0 0 30 0 1 4 195
Validity of climate change forecasting for public policy decision making 0 0 0 13 1 4 8 147
Total Journal Articles 5 10 47 5,267 149 310 692 23,522

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Creativity 0 0 0 0 0 1 2 5
Evaluating advertisements 0 0 0 0 0 0 0 4
Introduction 0 0 0 0 0 1 1 4
The principles 0 0 0 0 0 1 3 9
Types of evidence 0 0 0 0 0 1 1 6
Total Chapters 0 0 0 0 0 4 9 33

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