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 0 190 3 5 9 709
A Comparative Study of Methods for Long-Range Market Forecasting 0 0 0 2 3 7 10 41
Advocacy and Objectivity in Science 0 0 0 79 3 3 5 610
An Application of Econometric Models to International Marketing 0 0 0 16 0 3 7 47
Analyzing Quantitative Models 0 0 0 550 3 4 5 3,178
Analyzing Quantitative Models 0 0 1 5 2 3 5 27
Are Null Results Becoming an Endangered Species in Marketing? 1 1 1 41 2 5 8 397
Are Student Ratings of Instruction Useful? 0 0 0 98 1 1 4 381
Assessing Game Theory, Role Playing, and Unaided Judgment 0 0 0 1 2 4 9 28
Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts 0 0 0 24 5 7 9 39
Barriers to Scientific Contributions: The Author’s Formula 0 0 1 80 3 4 10 486
Benchmark forecasts for climate change 0 0 1 69 5 5 9 237
Book Review: Intentional Changes: A Fresh Approach to Helping People Change, by Allen Tough, Chicago: Follette Publishing Co., 1982 0 0 0 36 3 4 5 305
Brand Trial After a Credibility Change 0 0 0 43 1 2 6 329
Brief vs. Comprehensive Descriptions in Measuring Intentions to Purchase 0 0 0 118 4 16 18 457
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 3 5 6 516
Causal Forces: Structuring Knowledge for Time-series Extrapolation 0 0 1 141 3 5 10 816
Cheating in Management Science (with Comments by M. K. Starr and M. J. Mahoney) 0 0 0 55 1 1 3 360
Class of Mail Does Affect Response Rates to Mailed 0 0 0 24 3 5 6 322
Class of Mail Does Affect Response Rates to Mailed Questionnaires: Evidence from Meta-analysis 0 0 0 1 2 4 7 16
Commentary by J. Scott Armstrong on Fildes et al.: Generalizing about univariate forecasting methods: further empirical evidence 0 0 0 34 3 9 10 261
Commentary on the Makridakis Time Series Competition (M- Competition) 0 0 0 526 2 3 9 1,817
Communication of Research on Forecasting: The Journal 0 0 0 53 1 1 2 241
Competitor Orientation: Effects of Objectives and Information on Managerial Decisions and Profitability 0 0 0 23 3 8 11 135
Competitor-oriented Objectives: The Myth of Market Share 0 0 1 4 2 4 9 73
Competitor-oriented Objectives: The Myth of Market Share 0 0 1 233 3 7 20 770
Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods 0 0 0 124 1 2 7 438
Damped Seasonality Factors: Introduction 0 0 0 72 2 2 4 373
Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series 0 0 0 151 3 7 13 753
Demand Forecasting: Evidence-based Methods 0 0 5 1,076 7 14 29 5,362
Derivation of Theory by Means of Factor Analysis or Tom Swift and His Electric Factor Analysis Machine 0 0 0 181 1 2 6 752
Derivation of theory by means of factor analysis or Tom Swift and his electric factor analysis machine 0 0 0 3 1 3 6 29
Designing and Using Experiential Exercises 0 0 0 343 1 7 11 2,223
Discovery and Communication of Important Marketing Findings: Evidence and Proposals 0 0 0 99 2 3 6 960
Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings? 0 0 0 21 0 1 2 224
Eclectic Research and Construct Validation 0 0 0 98 3 3 5 929
Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups 0 0 0 0 0 1 4 12
Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups 0 0 0 122 13 16 22 1,095
Effects of Objectives and Information on Managerial Decisions and Profitability 0 0 0 213 3 6 9 1,209
Effects of Portfolio Planning Methods on Decision Making: Experimental Results* 0 0 0 264 3 9 12 1,199
Effects of corporate social responsibility and irresponsibility policies 0 0 0 56 3 5 9 196
Effects of portfolio planning methods on decision making: experimental results 0 0 0 4 2 5 7 52
Escalation Bias: Does It Extend to Marketing? 0 1 1 63 1 5 7 1,040
Escalation bias: does it extend to marketing? 0 0 0 0 2 4 7 26
Estimating Nonresponse Bias in Mail Surveys 0 0 0 620 4 24 35 2,268
Estimating Nonresponse Bias in Mail Surveys 0 0 3 17 9 52 75 330
Evaluation of Extrapolative Forecasting Methods: Results of a Survey of Academicians and Practitioners 0 0 0 218 2 3 8 988
Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan? 0 0 0 419 4 6 9 1,406
Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan? 0 0 0 3 3 4 6 44
Evidence on the effects of mandatory disclaimers in advertising 0 2 2 43 11 14 18 124
Exploratory Analysis of Marketing Data: Trees vs. Regression 0 0 0 7 2 6 9 53
Forecasting Elections from Voters’ Perceptions of Candidates’ Positions on Issues and Policies 0 0 0 52 4 8 11 191
Forecasting Methods for Conflict Situations 0 0 0 105 3 6 8 725
Forecasting Methods for Marketing:* Review of Empirical Research 1 1 1 464 4 4 8 1,938
Forecasting by Extrapolation: Conclusions from 25 Years of Research 0 1 1 163 4 9 12 602
Forecasting elections using expert surveys: an application to U.S. presidential elections 0 0 0 75 8 10 14 226
Forecasting for Environmental Decision Making 0 0 0 81 1 2 5 289
Forecasting for Environmental Decision Making 0 0 0 145 2 6 10 571
Forecasting for Marketing 0 0 0 4 1 3 8 38
Forecasting for Marketing 0 0 1 523 4 13 20 2,492
Forecasting with Econometric Methods: Folklore Versus Fact 0 0 0 1 3 7 14 28
Global warming: Forecasts by scientists versus scientific forecasts 0 0 0 168 7 8 16 389
Golden Rule of Forecasting: Be conservative 0 0 0 86 9 21 25 328
How Expert Are the Experts? 0 0 0 119 3 5 8 391
How Expert Are the Experts? 0 0 0 43 1 6 11 190
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 2 6 7 1,425
How to avoid exploratory research 0 0 0 2 0 1 4 30
Hypotheses in Marketing Science: Literature Review and Publication Audit 0 0 1 251 1 5 11 1,445
Illusions in Regression Analysis 0 0 2 6 2 5 11 49
Improving Learning at Universities: Who is Responsible? 0 0 0 112 2 2 5 277
Incentives for Developing and Communicating Principles: A Reply 0 0 0 20 2 4 7 209
Integration of Statistical Methods and Judgment for Time Series 0 0 0 145 2 6 9 527
Is Review By Peers As Fair As It Appears? 0 0 0 43 4 5 9 248
Learner Responsibility in Management Education, or Ventures into Forbidden Research (with Comments) 0 0 0 31 1 3 6 246
Market Share Superstition (Letter) 0 0 0 32 1 3 7 257
Market Share Superstition (Letter) 0 1 1 38 1 2 3 307
Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared 0 0 0 118 3 19 27 476
Monetary Incentives in Mail Surveys 0 0 1 125 4 9 11 552
Monetary incentives in mail surveys 0 0 0 1 5 12 13 34
Moneyball: a Message for Managers 0 0 0 4 3 4 6 29
Natural Learning in Higher Education 0 0 2 15 1 2 11 102
On the Effectiveness of Marketing Planning 0 0 0 160 1 2 7 569
On the Interpretation of Factor Analysis 0 0 0 1,303 2 4 8 4,531
On the interpretation of factor analysis 0 0 0 6 4 4 7 28
Peer Review for Journals: Evidence on Quality Control, Fairness, and Innovation 0 0 0 159 1 3 7 775
Polar Bear Population Forecasts: A Public-Policy Forecasting Audit 0 0 0 146 2 4 7 1,689
Portfolio Planning Methods: Faulty Approach or Faulty Research? A Rejoinder to 'Making Better Decisions' by Wensley 0 0 0 84 3 4 8 600
Predicting Elections from Biographical Information about Candidates 0 0 0 80 27 28 33 626
Predicting The Outcome of Marketing Negotiations: Role-Playing versus Unaided Opinions 0 0 0 134 2 5 7 949
Predicting elections from politicians’ faces 0 0 0 83 2 10 17 820
Predicting job performance: A comparison of expert opinion and research findings* 0 0 0 226 2 4 7 1,262
Prediction of Consumer Behavior by Experts and Novices 0 0 0 6 1 2 4 45
Principles Involving Marketing Policies: An Empirical Assessment 0 0 0 409 3 6 9 2,425
Publication Bias Against Null Results 0 0 1 61 2 5 9 352
Publishing Standards for Research in Forecasting (Editorial) 0 0 0 46 4 8 10 265
Quality Control Versus Innovation in Research on Marketing 0 0 0 130 1 5 9 710
Readability and Prestige in Scientific Journals 0 0 0 72 4 4 7 450
Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project, with Reply to Commentators 0 0 0 96 1 2 5 876
Relative Accuracy of Judgmental and Extrapolative Methods in Forecasting Annual Earnings 0 0 0 62 9 11 15 393
Replications and Extensions in Marketing – Rarely Published But Quite Contrary* 0 0 0 84 2 2 5 448
Research on Forecasting: A Quarter-Century Review, 1960-1984 0 0 0 111 3 7 8 411
Research on Scientific Journals: Implications for Editors and Authors 0 0 0 83 2 4 9 400
Return Postage in Mail Surveys: A Meta Analysis 0 0 0 73 1 2 5 639
Return Postage in Mail Surveys: A Meta Analysis 0 0 0 1 1 1 3 26
Review of Co-opetition by Adam M. Brandenburger and Barry J. Nalebuff 0 2 3 20 7 17 35 127
Review of Don A. Dillman's Mail and Telephone Surveys, New York: John Wiley & Sons, 1978 0 0 0 174 14 15 17 1,327
Review of Peter W. Huber, Liability: The Legal Revolution and Its Consequences, New York: Basic Books, Inc., 1988 0 0 0 128 2 2 7 798
Review of Ravi Batra, The Great Depression of 1990 1 2 2 4 7 10 17 43
Review of Ravi Batra, The Great Depression of 1990 (Simon and Schuster, New York, 1985) 1 1 2 398 4 13 20 3,022
Review of Steven J. Rosenstone, Forecasting Presidential Elections (published by Yale University Press, New Haven, CT, 1983)) 0 1 1 104 4 5 9 594
Review of: Predicting Presidential Elections and Other Things 0 0 0 67 0 2 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 3 4 5 216
Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations 0 0 0 257 6 10 14 1,052
Sales Forecasts for Existing Consumer Products and Services: Do Purchase Intentions Contribute to Accuracy? 0 0 0 4 5 12 18 73
Should We Redesign Forecasting Competitions? 0 0 0 48 3 7 10 226
Significance Tests Harm Progress in Forecasting 0 0 0 2 5 9 12 39
Social Irresponsibility in Management 0 0 0 94 3 4 5 663
Strategic Planning And Forecasting Fundamentals 0 0 0 1,492 2 6 12 7,261
Strategic Planning Improves Manufacturing Performance 0 0 0 283 2 3 9 895
Strategic Planning Improves Manufacturing Performance 0 0 0 4 1 1 2 16
Strategic Planning and Forecasting Fundamentals 1 1 1 12 3 5 8 66
Strategies for Implementing Change: An Experiential Approach 0 0 0 247 1 3 6 1,438
Structured Analogies for Forecasting 0 0 0 161 2 2 6 782
Structured analogies for forecasting 0 0 0 68 2 12 16 284
Teacher vs. Learner Responsibility in Management Education 0 0 0 103 2 2 4 553
Teacher vs. Learner Responsibility in Management Education 0 0 0 197 0 1 2 1,220
The Case for Minimum Teaching Standards 0 0 0 40 3 4 7 233
The Case for Minimum Teaching Standards 0 0 1 47 1 1 4 225
The Case of the Detrimental Drug: Implications for the Stakeholder Theory of Directorship 0 0 0 25 2 3 4 350
The Case of the Detrimental Drug: Implications for the Stakeholder Theory of Directorship 0 0 0 38 1 2 3 420
The Devil s Advocate Responds to an MBA Student s Claim that Research Harms Learning 0 0 0 192 1 3 7 730
The Graffiti Problem 0 0 2 371 1 2 8 4,005
The Graffiti Solution 0 0 1 169 4 4 7 1,301
The Importance of Objectivity and Falsification in Management Science 0 0 1 96 3 3 11 1,041
The Manager’s Dilemma: Role Conflict in Marketing 0 0 0 180 0 2 6 992
The Natural Learning Project 0 0 1 48 3 5 8 311
The Panalba Role Playing Case 0 0 1 257 1 5 13 1,099
The Profitability of Winning 0 0 0 70 4 4 6 316
The Seer-Sucker Theory: The Value of Experts in Forecasting 1 1 4 406 5 9 27 2,994
The Value of Formal Planning for Strategic Decisions: A Reply 0 0 1 280 2 2 6 1,439
The Value of Surprising Findings for Research on Marketing 0 0 0 73 0 1 5 309
The value of formal planning for strategic decisions: review of empirical research 0 0 0 6 2 8 13 60
The war in Iraq: Should we have expected better forecasts? 0 0 0 69 1 3 7 422
Tom Swift and His Electric Regression Analysis Machine: 1973 0 0 0 97 0 0 4 445
Value of Expertise For Forecasting Decisions in Conflicts 0 0 0 48 6 10 11 293
Verification of Citations: Fawlty Towers of Knowledge? 0 0 0 85 5 9 13 333
Would Mandatory Attendance Be Effective for Economics Classes? 0 0 0 81 0 2 4 435
Would Mandatory Attendance Be Effective for Economics Classes? 0 0 0 80 3 6 7 461
Total Working Papers 6 15 50 20,516 443 885 1,484 109,061

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 2 5 7 243
A Comparative Study of Methods for Long-Range Market Forecasting 0 0 0 9 4 5 9 64
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 1 2 4 219
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 1 93 2 3 10 335
Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries 0 0 0 2 3 4 6 11
Accuracy of judgmental forecasts: A comparison: R. Nada Sanders, Omega, 20 (1992) 353-364 0 0 0 79 1 1 2 250
Advocacy and Objectivity in Science 0 0 0 6 4 6 7 70
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 0 1 2 195
An application of rule-based forecasting to a situation lacking domain knowledge 0 0 0 32 2 3 6 177
Assessing game theory, role playing, and unaided judgment 0 0 1 23 1 3 6 185
Automatic identification of time series features for rule-based forecasting 0 0 0 39 0 4 5 232
Beyond accuracy: Comparison of criteria used to select forecasting methods 0 0 0 61 2 4 10 294
Combined Forecasts of the 2008 Election: The Pollyvote 0 0 0 17 1 2 4 369
Combined Forecasts of the 2012 Election: The PollyVote 0 0 2 14 2 2 8 77
Combining forecasts: An application to elections 0 0 0 17 8 9 13 97
Combining forecasts: The end of the beginning or the beginning of the end? 0 0 0 27 1 4 6 133
Communication of research on forecasting: The journal 0 0 0 6 1 1 3 52
Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task 0 0 0 12 1 1 4 149
Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task 0 0 0 2 3 7 10 62
Conditions under which index models are useful: Reply to bio-index commentaries 0 0 0 6 1 2 5 82
Damped seasonality factors: Introduction 0 0 0 16 2 2 6 115
Decomposition by causal forces: a procedure for forecasting complex time series 0 0 0 31 0 1 6 175
Decomposition of time-series by level and change 0 0 0 6 4 8 10 48
Discovery and communication of important marketing findings: Evidence and proposals 0 0 1 34 4 6 13 261
Econometric Forecasting and the Science Court 0 0 0 16 2 2 4 146
Editorial 0 0 0 1 2 2 3 21
Editorial policies for the publication of controversial findings 0 0 0 12 2 7 8 76
Editorial: Reflections on forecasting in the 1980's 0 0 0 13 4 4 5 88
Effects of corporate social responsibility and irresponsibility policies 0 0 0 16 3 7 13 272
Error measures for generalizing about forecasting methods: Empirical comparisons 2 4 7 295 10 27 39 1,012
Expert opinions about extrapolation and the mystery of the overlooked discontinuities 0 0 0 14 0 2 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 0 1 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 0 2 3 97
Findings from evidence-based forecasting: Methods for reducing forecast error 0 0 1 60 7 10 16 279
Forecasting by Extrapolation: Conclusions from 25 Years of Research 0 1 1 2 1 4 6 21
Forecasting methods and principles: Evidence-based checklists 1 2 3 8 2 13 29 93
Forecasting of software development work effort: Introduction 0 0 0 35 0 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 2 5 6 320
Forecasts of the 2012 US Presidential Election based on Candidates’ Perceived Competence in Handling the Most Important Issue* 0 0 0 2 1 6 7 21
From the editors 0 0 0 7 1 2 6 55
Generalization and communication issues in the use of error measures: A reply 0 0 0 17 1 3 4 117
Global Warming: Forecasts by Scientists Versus Scientific Forecasts 0 0 0 4 4 6 9 31
Golden rule of forecasting rearticulated: Forecast unto others as you would have them forecast unto you 0 0 0 4 2 4 12 41
Golden rule of forecasting: Be conservative 0 0 0 14 3 8 12 126
Harvard Business Review: David M. Georgoff and Robert G. Murdick, manager's guide to forecasting, 64 (Jan-Feb.) (1986) 110-120 0 1 5 856 1 4 10 1,997
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 3 3 4 188
Identification of Asymmetric Prediction Intervals through Causal Forces 0 0 0 0 4 6 9 185
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 3 4 5 190
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 1 1 3 967
Journal of economic literature: Clifford Winston, 1993, Economic deregulation: Days of reckoning for microeconomists, 31, 1263-1289 0 0 0 145 2 7 13 496
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 2 3 5 286
Judgmental decomposition: when does it work? 0 0 0 24 1 2 5 176
Making progress in forecasting 0 0 1 25 0 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 2 3 192
Marketing letters: Barry L., Bayus, (1992), Have diffusion rates been accelerating over time? 3 215-226 0 0 0 62 3 3 5 307
Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared 0 0 0 95 3 9 13 651
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 1 1 4 156
Omega 21: G.L. Riddington, (1993), Time varying coefficient models and their forecasting performance, 573-583 0 0 0 38 1 1 2 148
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 2 2 4 179
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 4 5 9 311
Polar Bear Population Forecasts: A Public-Policy Forecasting Audit 0 0 0 2 4 6 7 27
Predicting Job Performance: The Moneyball Factor 0 0 0 43 2 4 6 201
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 3 4 6 225
Predicting elections from biographical information about candidates: A test of the index method 0 1 2 10 5 11 16 76
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 4 4 6 266
Predicting job performance: A comparison of expert opinion and research findings 0 0 0 28 0 1 5 144
Prediction of Consumer Behavior by Experts and Novices 0 0 0 9 2 4 10 462
Public opinion quarterly: Jacob Shamir, preelection polls in Israel: Structural constraints on accuracy, 50 (1986) 62-75 0 0 0 8 1 2 3 96
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 4 4 5 158
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 2 2 3 187
Public opinion quarterly: William Buchanan, election predictions: An empirical assessment, 50 (1986) 222-227 0 0 0 14 2 3 4 77
Publication of research on controversial topics: The early acceptance procedure 0 0 0 12 2 2 3 197
Replication research's disturbing trend 0 0 1 51 2 4 9 195
Replications of forecasting research 0 0 0 17 4 7 8 88
Research Report—Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts 0 0 0 0 1 1 2 7
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 3 4 5 46
Role thinking: Standing in other people's shoes to forecast decisions in conflicts 0 0 0 10 4 5 10 194
Role thinking: Standing in other people’s shoes to forecast decisions in conflicts 0 0 0 1 1 2 6 37
Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations 0 0 4 16 4 6 13 98
Sales forecasts for existing consumer products and services: Do purchase intentions contribute to accuracy? 0 0 0 70 2 8 16 386
Should the Forecasting Process Eliminate Face-to-Face Meetings? 0 0 0 72 2 4 5 258
Significance tests harm progress in forecasting 0 0 0 25 4 7 9 140
Simple versus complex forecasting: The evidence 0 0 0 36 8 24 31 222
Social irresponsibility in management 0 0 1 44 3 10 18 257
Statistical significance tests are unnecessary even when properly done and properly interpreted: Reply to commentaries 0 0 0 78 1 6 8 232
Structured analogies for forecasting 0 1 1 37 6 9 13 233
The Forecasting Canon: Nine Generalizations to Improve Forecast Accuracy 0 0 0 115 2 4 9 326
The Keys to the White House: Forecast for 2008 0 0 0 103 1 1 5 506
The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review 0 0 1 4 4 5 8 35
The Ombudsman: Business School Prestige—Research versus Teaching 0 0 0 2 0 5 6 22
The Ombudsman: Cheating in Management Science 0 0 0 2 3 4 5 13
The Ombudsman: Is Review By Peers As Fair As It Appears? 0 0 0 1 1 3 4 12
The Ombudsman: Is the Evidence Sufficient to Take Action on Executive Pay? Reply to Commentators 0 0 0 0 1 3 4 10
The Ombudsman: Learner Responsibility in Management Education, or Ventures into Forbidden Research 0 0 0 1 2 4 15 24
The Ombudsman: Management Folklore and Management Science—On Portfolio Planning, Escalation Bias, and Such 0 0 0 0 1 5 8 12
The Ombudsman: Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project 0 0 0 0 2 6 7 15
The Ombudsman: Research on Forecasting: A Quarter-Century Review, 1960--1984 0 0 0 3 21 26 27 44
The Ombudsman: Value of Expertise for Forecasting Decisions in Conflicts 0 0 0 0 2 3 5 14
The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge? 0 0 0 0 5 7 10 16
The PollyVote’s Year-Ahead Forecast of the 2012 U.S. Presidential Election 0 0 0 4 4 4 6 66
The War in Iraq: Should We Have Expected Better Forecasts? 0 0 0 12 2 2 5 128
The fertile field of meta-analysis: Cumulative progress in agricultural forecasting 0 0 0 7 4 5 6 68
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 1 1 1 128 1 1 4 429
The great depression of 1990: Ravi Batra, (Simon and Schuster, New York, 1985) pp. 235, $14.95 0 0 0 54 6 8 12 273
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 4 99 3 3 10 248
The uses and abuses of consensus forecasts: Stephen K. McNees,Journal of forecasting, 11 (1992) 703-710 0 0 0 136 1 1 3 310
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 7 12 26 953
The value of formal planning for strategic decisions: Reply 0 0 0 1 2 3 6 20
The value of formal planning for strategic decisions: Review of empirical research 0 1 3 5 4 12 23 48
The value of surprising findings for research on marketing 0 0 0 18 0 2 3 108
Unintelligible Management Research and Academic Prestige 0 0 0 3 1 5 13 32
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 0 4 195
Validity of climate change forecasting for public policy decision making 0 0 0 13 3 6 11 150
Total Journal Articles 4 12 46 5,271 288 544 952 23,810

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Persuasive Advertising 0 0 1 1 1 2 9 17
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Conclusions 0 0 0 0 1 1 2 5
Conditions 0 0 0 0 0 0 1 1
Creativity 0 0 0 0 0 0 2 5
Evaluating advertisements 0 0 0 0 2 2 2 6
Introduction 0 0 0 0 2 3 3 6
The principles 0 0 0 0 1 1 4 10
Types of evidence 0 0 0 0 2 2 3 8
Total Chapters 0 0 0 0 8 9 17 41

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