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 4 5 13 46
A Comparative Study of Methods for Long-Range Market Forecasting 0 0 0 190 1 3 11 712
Advocacy and Objectivity in Science 0 0 0 79 3 4 8 614
An Application of Econometric Models to International Marketing 0 0 0 16 1 2 8 49
Analyzing Quantitative Models 0 0 0 550 2 2 6 3,180
Analyzing Quantitative Models 0 0 1 5 3 4 8 31
Are Null Results Becoming an Endangered Species in Marketing? 0 0 1 41 2 3 10 400
Are Student Ratings of Instruction Useful? 0 0 0 98 6 7 9 388
Assessing Game Theory, Role Playing, and Unaided Judgment 0 0 0 1 1 2 9 30
Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts 0 0 0 24 2 4 12 43
Barriers to Scientific Contributions: The Author’s Formula 0 0 0 80 3 5 12 491
Benchmark forecasts for climate change 0 0 1 69 0 2 10 239
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 5 306
Brand Trial After a Credibility Change 0 0 0 43 6 6 9 335
Brief vs. Comprehensive Descriptions in Measuring Intentions to Purchase 0 0 0 118 1 2 19 459
Brief vs. comprehensive descriptions in measuring intentions to purchase 0 0 0 2 1 2 2 48
Business School Prestige ^V Research versus Teaching 0 0 0 98 2 5 10 521
Causal Forces: Structuring Knowledge for Time-series Extrapolation 0 0 0 141 4 6 12 822
Cheating in Management Science (with Comments by M. K. Starr and M. J. Mahoney) 0 0 0 55 2 2 4 362
Class of Mail Does Affect Response Rates to Mailed 0 0 0 24 2 2 7 324
Class of Mail Does Affect Response Rates to Mailed Questionnaires: Evidence from Meta-analysis 0 0 0 1 3 3 9 19
Commentary by J. Scott Armstrong on Fildes et al.: Generalizing about univariate forecasting methods: further empirical evidence 0 0 0 34 1 2 11 263
Commentary on the Makridakis Time Series Competition (M- Competition) 0 0 0 526 0 2 10 1,819
Communication of Research on Forecasting: The Journal 0 0 0 53 3 5 6 246
Competitor Orientation: Effects of Objectives and Information on Managerial Decisions and Profitability 0 0 0 23 7 10 20 145
Competitor-oriented Objectives: The Myth of Market Share 0 0 1 4 3 5 12 78
Competitor-oriented Objectives: The Myth of Market Share 0 0 1 233 4 8 22 778
Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods 0 0 0 124 6 7 12 445
Damped Seasonality Factors: Introduction 0 0 0 72 4 6 9 379
Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series 0 0 0 151 2 4 16 757
Demand Forecasting: Evidence-based Methods 0 1 6 1,077 7 16 42 5,378
Derivation of Theory by Means of Factor Analysis or Tom Swift and His Electric Factor Analysis Machine 0 0 0 181 1 3 8 755
Derivation of theory by means of factor analysis or Tom Swift and his electric factor analysis machine 0 0 0 3 0 1 5 30
Designing and Using Experiential Exercises 0 0 0 343 3 3 13 2,226
Discovery and Communication of Important Marketing Findings: Evidence and Proposals 0 0 0 99 4 5 10 965
Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings? 0 0 0 21 1 2 3 226
Eclectic Research and Construct Validation 0 0 0 98 2 3 6 932
Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups 0 1 1 123 5 6 27 1,101
Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups 0 0 0 0 1 2 4 14
Effects of Objectives and Information on Managerial Decisions and Profitability 0 0 0 213 2 2 10 1,211
Effects of Portfolio Planning Methods on Decision Making: Experimental Results* 0 0 0 264 7 14 25 1,213
Effects of corporate social responsibility and irresponsibility policies 0 0 0 56 1 4 12 200
Effects of portfolio planning methods on decision making: experimental results 0 0 0 4 3 4 10 56
Escalation Bias: Does It Extend to Marketing? 0 0 1 63 5 11 16 1,051
Escalation bias: does it extend to marketing? 0 0 0 0 2 5 11 31
Estimating Nonresponse Bias in Mail Surveys 0 0 0 620 3 15 48 2,283
Estimating Nonresponse Bias in Mail Surveys 0 2 4 19 5 30 103 360
Evaluation of Extrapolative Forecasting Methods: Results of a Survey of Academicians and Practitioners 0 0 0 218 2 4 9 992
Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan? 0 0 0 419 3 3 10 1,409
Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan? 0 0 0 3 4 4 9 48
Evidence on the effects of mandatory disclaimers in advertising 0 1 3 44 1 4 20 128
Exploratory Analysis of Marketing Data: Trees vs. Regression 0 0 0 7 2 2 9 55
Forecasting Elections from Voters’ Perceptions of Candidates’ Positions on Issues and Policies 0 0 0 52 1 1 10 192
Forecasting Methods for Conflict Situations 0 0 0 105 6 9 16 734
Forecasting Methods for Marketing:* Review of Empirical Research 0 0 1 464 1 3 9 1,941
Forecasting by Extrapolation: Conclusions from 25 Years of Research 0 0 1 163 5 9 20 611
Forecasting elections using expert surveys: an application to U.S. presidential elections 0 0 0 75 2 2 13 228
Forecasting for Environmental Decision Making 0 0 0 145 3 3 11 574
Forecasting for Environmental Decision Making 0 0 0 81 1 1 5 290
Forecasting for Marketing 0 0 0 4 2 3 10 41
Forecasting for Marketing 0 0 0 523 0 4 19 2,496
Forecasting with Econometric Methods: Folklore Versus Fact 0 0 0 1 3 6 18 34
Global warming: Forecasts by scientists versus scientific forecasts 0 0 0 168 4 7 21 396
Golden Rule of Forecasting: Be conservative 1 2 2 88 8 18 41 346
How Expert Are the Experts? 0 0 0 43 3 3 13 193
How Expert Are the Experts? 0 0 0 119 0 1 8 392
How Serious are Methodological Issues in Surveys? A Reexamination of the Clarence Thomas Polls^T 0 0 0 28 0 0 0 262
How to Avoid Exploratory Research 0 0 0 282 0 5 11 1,430
How to avoid exploratory research 0 0 0 2 4 6 8 36
Hypotheses in Marketing Science: Literature Review and Publication Audit 0 0 0 251 6 9 16 1,454
Illusions in Regression Analysis 0 0 0 6 0 2 10 51
Improving Learning at Universities: Who is Responsible? 0 0 0 112 1 1 4 278
Incentives for Developing and Communicating Principles: A Reply 0 0 0 20 0 1 7 210
Integration of Statistical Methods and Judgment for Time Series 0 0 0 145 2 5 13 532
Is Review By Peers As Fair As It Appears? 0 0 0 43 1 1 7 249
Learner Responsibility in Management Education, or Ventures into Forbidden Research (with Comments) 0 0 0 31 1 3 7 249
Market Share Superstition (Letter) 0 0 0 32 1 2 8 259
Market Share Superstition (Letter) 0 0 1 38 3 4 6 311
Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared 0 0 0 118 21 36 61 512
Monetary Incentives in Mail Surveys 0 0 0 125 2 2 11 554
Monetary incentives in mail surveys 0 0 0 1 1 1 13 35
Moneyball: a Message for Managers 0 0 0 4 1 1 6 30
Natural Learning in Higher Education 0 0 1 15 6 6 9 108
On the Effectiveness of Marketing Planning 0 0 0 160 1 2 8 571
On the Interpretation of Factor Analysis 0 0 0 1,303 2 3 9 4,534
On the interpretation of factor analysis 0 0 0 6 4 4 10 32
Peer Review for Journals: Evidence on Quality Control, Fairness, and Innovation 0 0 0 159 3 6 12 781
Polar Bear Population Forecasts: A Public-Policy Forecasting Audit 0 0 0 146 2 7 11 1,696
Portfolio Planning Methods: Faulty Approach or Faulty Research? A Rejoinder to 'Making Better Decisions' by Wensley 0 0 0 84 3 3 10 603
Predicting Elections from Biographical Information about Candidates 0 0 0 80 1 6 35 632
Predicting The Outcome of Marketing Negotiations: Role-Playing versus Unaided Opinions 0 0 0 134 2 4 10 953
Predicting elections from politicians’ faces 0 0 0 83 4 6 20 826
Predicting job performance: A comparison of expert opinion and research findings* 0 0 0 226 1 4 10 1,266
Prediction of Consumer Behavior by Experts and Novices 0 0 0 6 1 3 6 48
Principles Involving Marketing Policies: An Empirical Assessment 0 0 0 409 2 2 9 2,427
Publication Bias Against Null Results 0 0 1 61 2 8 16 360
Publishing Standards for Research in Forecasting (Editorial) 0 0 0 46 3 3 12 268
Quality Control Versus Innovation in Research on Marketing 0 0 0 130 1 5 13 715
Readability and Prestige in Scientific Journals 0 0 0 72 1 2 8 452
Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project, with Reply to Commentators 0 0 0 96 5 5 9 881
Relative Accuracy of Judgmental and Extrapolative Methods in Forecasting Annual Earnings 0 0 0 62 7 12 25 405
Replications and Extensions in Marketing – Rarely Published But Quite Contrary* 0 0 0 84 1 2 5 450
Research on Forecasting: A Quarter-Century Review, 1960-1984 1 1 1 112 1 3 10 414
Research on Scientific Journals: Implications for Editors and Authors 0 0 0 83 0 5 12 405
Return Postage in Mail Surveys: A Meta Analysis 0 0 0 1 4 5 7 31
Return Postage in Mail Surveys: A Meta Analysis 0 0 0 73 3 5 8 644
Review of Co-opetition by Adam M. Brandenburger and Barry J. Nalebuff 1 2 5 22 7 17 46 144
Review of Don A. Dillman's Mail and Telephone Surveys, New York: John Wiley & Sons, 1978 0 0 0 174 1 1 17 1,328
Review of Peter W. Huber, Liability: The Legal Revolution and Its Consequences, New York: Basic Books, Inc., 1988 0 0 0 128 3 4 7 802
Review of Ravi Batra, The Great Depression of 1990 0 0 2 4 9 12 26 55
Review of Ravi Batra, The Great Depression of 1990 (Simon and Schuster, New York, 1985) 0 0 2 398 9 10 26 3,032
Review of Steven J. Rosenstone, Forecasting Presidential Elections (published by Yale University Press, New Haven, CT, 1983)) 0 0 1 104 4 7 14 601
Review of: Predicting Presidential Elections and Other Things 0 0 0 67 1 2 6 291
Role Conflict: Society’s Dilemma with Excellence in Marketing 0 0 0 150 1 1 1 973
Role thinking: Standing in other people’s shoes to forecast decisions in conflicts 0 0 0 81 1 3 7 219
Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations 0 0 0 257 3 6 19 1,058
Sales Forecasts for Existing Consumer Products and Services: Do Purchase Intentions Contribute to Accuracy? 0 0 0 4 4 5 21 78
Should We Redesign Forecasting Competitions? 0 0 0 48 3 6 15 232
Significance Tests Harm Progress in Forecasting 0 0 0 2 0 1 10 40
Social Irresponsibility in Management 0 0 0 94 5 7 11 670
Strategic Planning And Forecasting Fundamentals 0 0 0 1,492 1 5 13 7,266
Strategic Planning Improves Manufacturing Performance 0 0 0 283 1 3 8 898
Strategic Planning Improves Manufacturing Performance 0 0 0 4 1 1 2 17
Strategic Planning and Forecasting Fundamentals 0 0 1 12 5 6 13 72
Strategies for Implementing Change: An Experiential Approach 0 0 0 247 1 1 6 1,439
Structured Analogies for Forecasting 0 0 0 161 5 9 14 791
Structured analogies for forecasting 0 0 0 68 1 3 17 287
Teacher vs. Learner Responsibility in Management Education 0 0 0 103 3 3 6 556
Teacher vs. Learner Responsibility in Management Education 0 0 0 197 2 3 4 1,223
The Case for Minimum Teaching Standards 0 0 0 47 2 2 4 227
The Case for Minimum Teaching Standards 0 0 0 40 2 4 10 237
The Case of the Detrimental Drug: Implications for the Stakeholder Theory of Directorship 0 0 0 38 3 3 5 423
The Case of the Detrimental Drug: Implications for the Stakeholder Theory of Directorship 0 0 0 25 1 1 4 351
The Devil s Advocate Responds to an MBA Student s Claim that Research Harms Learning 0 0 0 192 3 8 13 738
The Graffiti Problem 0 0 0 371 3 3 6 4,008
The Graffiti Solution 0 0 0 169 6 10 15 1,311
The Importance of Objectivity and Falsification in Management Science 0 0 1 96 2 3 12 1,044
The Manager’s Dilemma: Role Conflict in Marketing 0 0 0 180 5 5 10 997
The Natural Learning Project 0 1 2 49 2 4 11 315
The Panalba Role Playing Case 0 0 0 257 7 8 19 1,107
The Profitability of Winning 0 0 0 70 2 2 6 318
The Seer-Sucker Theory: The Value of Experts in Forecasting 0 0 2 406 5 9 29 3,003
The Value of Formal Planning for Strategic Decisions: A Reply 0 0 0 280 2 4 8 1,443
The Value of Surprising Findings for Research on Marketing 0 0 0 73 3 5 8 314
The value of formal planning for strategic decisions: review of empirical research 0 0 0 6 5 7 17 67
The war in Iraq: Should we have expected better forecasts? 0 0 0 69 1 1 6 423
Tom Swift and His Electric Regression Analysis Machine: 1973 0 0 0 97 1 1 2 446
Value of Expertise For Forecasting Decisions in Conflicts 0 0 0 48 1 6 16 299
Verification of Citations: Fawlty Towers of Knowledge? 0 0 0 85 1 2 14 335
Would Mandatory Attendance Be Effective for Economics Classes? 0 0 0 81 2 5 8 440
Would Mandatory Attendance Be Effective for Economics Classes? 0 0 0 80 2 5 11 466
Total Working Papers 3 11 44 20,527 419 738 1,950 109,799

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 2 7 245
A Comparative Study of Methods for Long-Range Market Forecasting 0 0 0 9 2 4 11 68
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 0 78 5 6 8 225
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 10 338
Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries 0 0 0 2 2 3 8 14
Accuracy of judgmental forecasts: A comparison: R. Nada Sanders, Omega, 20 (1992) 353-364 0 0 0 79 1 1 2 251
Advocacy and Objectivity in Science 0 0 0 6 3 4 10 74
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 2 196
An application of rule-based forecasting to a situation lacking domain knowledge 0 0 0 32 3 5 8 182
Assessing game theory, role playing, and unaided judgment 0 0 1 23 1 3 8 188
Automatic identification of time series features for rule-based forecasting 0 0 0 39 2 4 8 236
Beyond accuracy: Comparison of criteria used to select forecasting methods 0 0 0 61 2 3 11 297
Combined Forecasts of the 2008 Election: The Pollyvote 0 0 0 17 0 1 4 370
Combined Forecasts of the 2012 Election: The PollyVote 0 0 1 14 1 2 8 79
Combining forecasts: An application to elections 0 0 0 17 3 4 15 101
Combining forecasts: The end of the beginning or the beginning of the end? 0 0 0 27 3 3 8 136
Communication of research on forecasting: The journal 0 0 0 6 3 4 5 56
Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task 0 0 0 2 0 1 10 63
Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task 0 0 0 12 0 1 4 150
Conditions under which index models are useful: Reply to bio-index commentaries 0 0 0 6 0 0 4 82
Damped seasonality factors: Introduction 0 0 0 16 3 4 6 119
Decomposition by causal forces: a procedure for forecasting complex time series 0 0 0 31 2 4 8 179
Decomposition of time-series by level and change 0 0 0 6 6 6 15 54
Discovery and communication of important marketing findings: Evidence and proposals 0 0 0 34 3 3 14 264
Econometric Forecasting and the Science Court 0 0 0 16 1 1 3 147
Editorial 0 0 0 1 1 1 3 22
Editorial policies for the publication of controversial findings 0 0 0 12 1 1 8 77
Editorial: Reflections on forecasting in the 1980's 0 0 0 13 2 3 7 91
Effects of corporate social responsibility and irresponsibility policies 0 0 0 16 2 5 16 277
Error measures for generalizing about forecasting methods: Empirical comparisons 2 3 9 298 2 4 42 1,016
Expert opinions about extrapolation and the mystery of the overlooked discontinuities 0 0 0 14 1 1 5 151
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 0 133 1 2 5 494
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 2 2 4 99
Findings from evidence-based forecasting: Methods for reducing forecast error 0 0 1 60 1 1 15 280
Forecasting by Extrapolation: Conclusions from 25 Years of Research 0 0 1 2 1 2 6 23
Forecasting methods and principles: Evidence-based checklists 0 2 5 10 3 13 39 106
Forecasting of software development work effort: Introduction 0 0 0 35 1 1 2 150
Forecasting practices in US corporations: Survey results: Nada Sanders and Karl B. Manrodt, 1994, interfaces, 24, 92-100 1 1 1 254 3 4 7 653
Forecasting with Econometric Methods: Folklore versus Fact 0 0 0 83 0 5 10 325
Forecasts of the 2012 US Presidential Election based on Candidates’ Perceived Competence in Handling the Most Important Issue* 0 0 0 2 3 3 9 24
From the editors 0 0 0 7 1 5 9 60
Generalization and communication issues in the use of error measures: A reply 0 0 0 17 1 2 5 119
Global Warming: Forecasts by Scientists Versus Scientific Forecasts 0 0 0 4 2 4 10 35
Golden rule of forecasting rearticulated: Forecast unto others as you would have them forecast unto you 0 0 0 4 4 4 14 45
Golden rule of forecasting: Be conservative 0 0 0 14 3 8 19 134
Harvard Business Review: David M. Georgoff and Robert G. Murdick, manager's guide to forecasting, 64 (Jan-Feb.) (1986) 110-120 0 2 6 858 1 11 19 2,008
Heuristics, biases and improvement strategies in judgmental time series: P. Goodwin and G. Wright, 1994, Omega, 22, 553-568 0 0 0 49 1 1 4 165
How We Computed the Pollyvote 0 0 0 37 0 1 4 189
Identification of Asymmetric Prediction Intervals through Causal Forces 0 0 0 0 2 3 11 188
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 1 1 1 261
J. Scott Armstrong, Forecasting by extrapolation: Conclusions from 25 years of research, Interfaces 14 (1984), pp. 52-66 0 0 0 46 3 6 10 196
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 2 967
Journal of economic literature: Clifford Winston, 1993, Economic deregulation: Days of reckoning for microeconomists, 31, 1263-1289 1 1 1 146 2 4 15 500
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 1 2 6 288
Judgmental decomposition: when does it work? 0 0 0 24 1 2 5 178
Making progress in forecasting 0 0 0 25 1 1 4 95
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 0 0 2 192
Marketing letters: Barry L., Bayus, (1992), Have diffusion rates been accelerating over time? 3 215-226 0 0 0 62 2 2 6 309
Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared 0 0 0 95 2 7 18 658
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 2 2 4 158
Omega 21: G.L. Riddington, (1993), Time varying coefficient models and their forecasting performance, 573-583 0 0 0 38 3 4 5 152
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 4 6 8 185
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 3 6 12 317
Polar Bear Population Forecasts: A Public-Policy Forecasting Audit 0 0 0 2 4 4 10 31
Predicting Job Performance: The Moneyball Factor 0 0 0 43 1 3 8 204
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 3 8 228
Predicting elections from biographical information about candidates: A test of the index method 0 0 1 10 3 3 17 79
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 1 1 6 267
Predicting job performance: A comparison of expert opinion and research findings 0 0 0 28 6 9 11 153
Prediction of Consumer Behavior by Experts and Novices 0 0 0 9 0 1 10 463
Public opinion quarterly: Jacob Shamir, preelection polls in Israel: Structural constraints on accuracy, 50 (1986) 62-75 0 0 0 8 1 1 3 97
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 2 2 3 111
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 3 5 9 163
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 3 3 5 190
Public opinion quarterly: William Buchanan, election predictions: An empirical assessment, 50 (1986) 222-227 0 0 0 14 4 4 7 81
Publication of research on controversial topics: The early acceptance procedure 0 0 0 12 3 3 5 200
Replication research's disturbing trend 0 0 0 51 3 3 10 198
Replications of forecasting research 0 0 0 17 1 1 8 89
Research Report—Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts 0 0 0 0 0 1 3 8
Research on Forecasting for the Manmade Global Warming Alarm 0 0 0 1 1 3 3 20
Research with In-built replications: Comment and further suggestions for replication research 0 0 0 3 1 2 6 48
Role thinking: Standing in other people's shoes to forecast decisions in conflicts 0 0 0 10 1 2 11 196
Role thinking: Standing in other people’s shoes to forecast decisions in conflicts 0 0 0 1 1 1 4 38
Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations 0 0 4 16 2 4 14 102
Sales forecasts for existing consumer products and services: Do purchase intentions contribute to accuracy? 0 0 0 70 1 2 17 388
Should the Forecasting Process Eliminate Face-to-Face Meetings? 0 0 0 72 3 3 7 261
Significance tests harm progress in forecasting 0 0 0 25 2 3 11 143
Simple versus complex forecasting: The evidence 1 1 1 37 4 8 36 230
Social irresponsibility in management 0 1 2 45 5 8 24 265
Statistical significance tests are unnecessary even when properly done and properly interpreted: Reply to commentaries 0 0 0 78 4 5 12 237
Structured analogies for forecasting 0 0 1 37 0 9 20 242
The Forecasting Canon: Nine Generalizations to Improve Forecast Accuracy 0 0 0 115 0 2 9 328
The Keys to the White House: Forecast for 2008 0 0 0 103 0 3 6 509
The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review 0 0 1 4 4 4 11 39
The Ombudsman: Business School Prestige—Research versus Teaching 1 1 1 3 1 1 6 23
The Ombudsman: Cheating in Management Science 0 0 0 2 0 1 5 14
The Ombudsman: Is Review By Peers As Fair As It Appears? 0 0 0 1 0 1 4 13
The Ombudsman: Is the Evidence Sufficient to Take Action on Executive Pay? Reply to Commentators 0 0 0 0 2 3 6 13
The Ombudsman: Learner Responsibility in Management Education, or Ventures into Forbidden Research 0 0 0 1 2 2 15 26
The Ombudsman: Management Folklore and Management Science—On Portfolio Planning, Escalation Bias, and Such 0 0 0 0 1 2 9 14
The Ombudsman: Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project 0 0 0 0 1 1 7 16
The Ombudsman: Research on Forecasting: A Quarter-Century Review, 1960--1984 0 0 0 3 2 3 29 47
The Ombudsman: Value of Expertise for Forecasting Decisions in Conflicts 0 0 0 0 1 1 4 15
The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge? 0 0 0 0 3 4 13 20
The PollyVote’s Year-Ahead Forecast of the 2012 U.S. Presidential Election 0 0 0 4 0 2 7 68
The War in Iraq: Should We Have Expected Better Forecasts? 0 0 0 12 1 1 4 129
The fertile field of meta-analysis: Cumulative progress in agricultural forecasting 0 0 0 7 1 1 6 69
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 1 128 1 1 4 430
The great depression of 1990: Ravi Batra, (Simon and Schuster, New York, 1985) pp. 235, $14.95 0 0 0 54 3 6 16 279
The impact of empirical accuracy studies on time series analysis and forecasting: R. Fildes and S. Makridakis, 1995, International Statistical Review, 63, 289-308 1 3 7 102 1 5 12 253
The uses and abuses of consensus forecasts: Stephen K. McNees,Journal of forecasting, 11 (1992) 703-710 0 0 0 136 1 1 3 311
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 1 330 10 22 45 975
The value of formal planning for strategic decisions: Reply 0 0 0 1 1 2 6 22
The value of formal planning for strategic decisions: Review of empirical research 0 0 3 5 3 5 26 53
The value of surprising findings for research on marketing 0 0 0 18 1 1 3 109
Unintelligible Management Research and Academic Prestige 0 0 0 3 2 2 12 34
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 1 1 31 0 2 4 197
Validity of climate change forecasting for public policy decision making 0 0 0 13 2 4 13 154
Total Journal Articles 7 16 51 5,287 222 383 1,141 24,193

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Persuasive Advertising 0 0 0 1 0 2 9 19
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Conclusions 0 0 0 0 4 4 5 9
Conditions 0 0 0 0 2 2 3 3
Creativity 0 0 0 0 1 2 4 7
Evaluating advertisements 0 0 0 0 1 1 3 7
Introduction 0 0 0 0 1 1 4 7
The principles 0 0 0 0 1 2 4 12
Types of evidence 0 0 0 0 1 1 4 9
Total Chapters 0 0 0 0 11 13 27 54

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