| 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 |
0 |
1 |
1 |
700 |
| A Comparative Study of Methods for Long-Range Market Forecasting |
0 |
0 |
1 |
2 |
0 |
0 |
2 |
30 |
| Advocacy and Objectivity in Science |
0 |
0 |
0 |
79 |
0 |
2 |
3 |
602 |
| An Application of Econometric Models to International Marketing |
0 |
1 |
2 |
16 |
1 |
2 |
4 |
39 |
| Analyzing Quantitative Models |
0 |
0 |
0 |
550 |
0 |
0 |
1 |
3,173 |
| Analyzing Quantitative Models |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
20 |
| Are Null Results Becoming an Endangered Species in Marketing? |
0 |
0 |
0 |
40 |
0 |
0 |
0 |
389 |
| Are Student Ratings of Instruction Useful? |
0 |
0 |
0 |
97 |
3 |
6 |
17 |
370 |
| Assessing Game Theory, Role Playing, and Unaided Judgment |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
19 |
| Assessing the 2016 U.S. Presidential Election Popular Vote Forecasts |
0 |
0 |
0 |
23 |
0 |
1 |
2 |
28 |
| Barriers to Scientific Contributions: The Author’s Formula |
0 |
0 |
0 |
79 |
0 |
1 |
1 |
474 |
| Benchmark forecasts for climate change |
0 |
0 |
0 |
68 |
0 |
0 |
0 |
227 |
| Book Review: Intentional Changes: A Fresh Approach to Helping People Change, by Allen Tough, Chicago: Follette Publishing Co., 1982 |
0 |
0 |
0 |
35 |
0 |
0 |
1 |
297 |
| Brand Trial After a Credibility Change |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
322 |
| Brief vs. Comprehensive Descriptions in Measuring Intentions to Purchase |
0 |
0 |
0 |
118 |
0 |
0 |
0 |
439 |
| Brief vs. comprehensive descriptions in measuring intentions to purchase |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
45 |
| Business School Prestige ^V Research versus Teaching |
0 |
0 |
0 |
98 |
0 |
1 |
4 |
507 |
| Causal Forces: Structuring Knowledge for Time-series Extrapolation |
0 |
0 |
0 |
140 |
0 |
1 |
3 |
803 |
| Cheating in Management Science (with Comments by M. K. Starr and M. J. Mahoney) |
0 |
0 |
0 |
55 |
0 |
0 |
1 |
356 |
| Class of Mail Does Affect Response Rates to Mailed |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
316 |
| Class of Mail Does Affect Response Rates to Mailed Questionnaires: Evidence from Meta-analysis |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
9 |
| Commentary by J. Scott Armstrong on Fildes et al.: Generalizing about univariate forecasting methods: further empirical evidence |
0 |
0 |
0 |
34 |
0 |
2 |
2 |
246 |
| Commentary on the Makridakis Time Series Competition (M- Competition) |
0 |
1 |
1 |
526 |
1 |
2 |
5 |
1,805 |
| Communication of Research on Forecasting: The Journal |
0 |
0 |
0 |
53 |
0 |
0 |
1 |
239 |
| Competitor Orientation: Effects of Objectives and Information on Managerial Decisions and Profitability |
0 |
0 |
3 |
22 |
0 |
1 |
10 |
119 |
| Competitor-oriented Objectives: The Myth of Market Share |
0 |
1 |
6 |
228 |
2 |
6 |
20 |
737 |
| Competitor-oriented Objectives: The Myth of Market Share |
0 |
0 |
0 |
2 |
0 |
1 |
4 |
52 |
| Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods |
0 |
0 |
1 |
124 |
0 |
0 |
1 |
429 |
| Damped Seasonality Factors: Introduction |
0 |
0 |
0 |
72 |
0 |
0 |
0 |
367 |
| Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series |
1 |
1 |
1 |
151 |
1 |
2 |
4 |
739 |
| Demand Forecasting: Evidence-based Methods |
0 |
3 |
3 |
1,064 |
0 |
3 |
12 |
5,312 |
| Derivation of Theory by Means of Factor Analysis or Tom Swift and His Electric Factor Analysis Machine |
0 |
0 |
0 |
181 |
1 |
2 |
2 |
745 |
| Derivation of theory by means of factor analysis or Tom Swift and his electric factor analysis machine |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
21 |
| Designing and Using Experiential Exercises |
0 |
0 |
0 |
343 |
0 |
2 |
6 |
2,208 |
| Discovery and Communication of Important Marketing Findings: Evidence and Proposals |
0 |
0 |
0 |
99 |
0 |
0 |
0 |
954 |
| Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings? |
0 |
0 |
1 |
21 |
0 |
0 |
1 |
222 |
| Eclectic Research and Construct Validation |
0 |
0 |
0 |
98 |
0 |
0 |
1 |
922 |
| Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
| Effectiveness of Monetary Incentives: Mail Surveys to Members of Multinational Professional Groups |
0 |
0 |
0 |
122 |
0 |
0 |
1 |
1,073 |
| Effects of Objectives and Information on Managerial Decisions and Profitability |
1 |
1 |
2 |
212 |
1 |
1 |
2 |
1,198 |
| Effects of Portfolio Planning Methods on Decision Making: Experimental Results* |
1 |
1 |
1 |
263 |
1 |
1 |
4 |
1,182 |
| Effects of corporate social responsibility and irresponsibility policies |
0 |
0 |
0 |
55 |
1 |
1 |
8 |
181 |
| Effects of portfolio planning methods on decision making: experimental results |
0 |
0 |
0 |
3 |
0 |
0 |
6 |
43 |
| Escalation Bias: Does It Extend to Marketing? |
0 |
0 |
0 |
62 |
0 |
0 |
8 |
1,030 |
| Escalation bias: does it extend to marketing? |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
19 |
| Estimating Nonresponse Bias in Mail Surveys |
0 |
0 |
2 |
618 |
3 |
4 |
25 |
2,216 |
| Estimating Nonresponse Bias in Mail Surveys |
0 |
0 |
1 |
12 |
2 |
7 |
18 |
225 |
| Evaluation of Extrapolative Forecasting Methods: Results of a Survey of Academicians and Practitioners |
0 |
0 |
0 |
215 |
1 |
2 |
3 |
973 |
| Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan? |
0 |
0 |
1 |
3 |
0 |
1 |
3 |
36 |
| Evidence on the Value of Strategic Planning in Marketing: How Much Planning Should a Marketing Planner Plan? |
0 |
0 |
1 |
419 |
0 |
0 |
1 |
1,394 |
| Evidence on the effects of mandatory disclaimers in advertising |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
101 |
| Exploratory Analysis of Marketing Data: Trees vs. Regression |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
42 |
| Forecasting Elections from Voters’ Perceptions of Candidates’ Positions on Issues and Policies |
0 |
0 |
0 |
52 |
0 |
0 |
2 |
179 |
| Forecasting Methods for Conflict Situations |
0 |
0 |
0 |
105 |
1 |
1 |
3 |
713 |
| Forecasting Methods for Marketing:* Review of Empirical Research |
0 |
0 |
0 |
463 |
0 |
0 |
2 |
1,929 |
| Forecasting by Extrapolation: Conclusions from 25 Years of Research |
0 |
0 |
0 |
161 |
1 |
1 |
1 |
584 |
| Forecasting elections using expert surveys: an application to U.S. presidential elections |
0 |
0 |
1 |
75 |
0 |
0 |
2 |
211 |
| Forecasting for Environmental Decision Making |
0 |
0 |
1 |
145 |
1 |
2 |
3 |
559 |
| Forecasting for Environmental Decision Making |
0 |
0 |
0 |
81 |
0 |
0 |
0 |
283 |
| Forecasting for Marketing |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
22 |
| Forecasting for Marketing |
0 |
0 |
0 |
520 |
0 |
1 |
3 |
2,464 |
| Forecasting with Econometric Methods: Folklore Versus Fact |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
14 |
| Global warming: Forecasts by scientists versus scientific forecasts |
0 |
0 |
1 |
168 |
1 |
1 |
5 |
369 |
| Golden Rule of Forecasting: Be conservative |
1 |
1 |
2 |
83 |
2 |
5 |
11 |
249 |
| How Expert Are the Experts? |
0 |
0 |
2 |
119 |
0 |
0 |
3 |
382 |
| How Expert Are the Experts? |
0 |
0 |
1 |
43 |
0 |
0 |
1 |
179 |
| How Serious are Methodological Issues in Surveys? A Reexamination of the Clarence Thomas Polls^T |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
260 |
| How to Avoid Exploratory Research |
1 |
1 |
1 |
282 |
1 |
1 |
1 |
1,416 |
| How to avoid exploratory research |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
26 |
| Hypotheses in Marketing Science: Literature Review and Publication Audit |
0 |
0 |
0 |
250 |
0 |
1 |
1 |
1,432 |
| Illusions in Regression Analysis |
0 |
0 |
0 |
2 |
0 |
2 |
4 |
30 |
| Improving Learning at Universities: Who is Responsible? |
0 |
1 |
1 |
112 |
0 |
2 |
3 |
272 |
| Incentives for Developing and Communicating Principles: A Reply |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
202 |
| Integration of Statistical Methods and Judgment for Time Series |
0 |
0 |
0 |
145 |
1 |
1 |
1 |
516 |
| Is Review By Peers As Fair As It Appears? |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
239 |
| Learner Responsibility in Management Education, or Ventures into Forbidden Research (with Comments) |
0 |
0 |
0 |
31 |
0 |
0 |
1 |
240 |
| Market Share Superstition (Letter) |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
301 |
| Market Share Superstition (Letter) |
0 |
0 |
0 |
32 |
0 |
0 |
0 |
248 |
| Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared |
0 |
0 |
0 |
114 |
0 |
4 |
9 |
428 |
| Monetary Incentives in Mail Surveys |
0 |
0 |
0 |
124 |
0 |
0 |
1 |
540 |
| Monetary incentives in mail surveys |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
21 |
| Moneyball: a Message for Managers |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
21 |
| Natural Learning in Higher Education |
0 |
1 |
1 |
12 |
0 |
2 |
3 |
87 |
| On the Effectiveness of Marketing Planning |
0 |
0 |
0 |
160 |
0 |
0 |
0 |
561 |
| On the Interpretation of Factor Analysis |
0 |
0 |
0 |
1,303 |
0 |
0 |
4 |
4,518 |
| On the interpretation of factor analysis |
0 |
0 |
0 |
6 |
1 |
2 |
3 |
21 |
| Peer Review for Journals: Evidence on Quality Control, Fairness, and Innovation |
0 |
0 |
0 |
159 |
0 |
0 |
1 |
765 |
| Polar Bear Population Forecasts: A Public-Policy Forecasting Audit |
0 |
0 |
0 |
145 |
0 |
4 |
10 |
1,679 |
| Portfolio Planning Methods: Faulty Approach or Faulty Research? A Rejoinder to 'Making Better Decisions' by Wensley |
0 |
0 |
0 |
84 |
0 |
0 |
2 |
591 |
| Predicting Elections from Biographical Information about Candidates |
0 |
0 |
0 |
80 |
0 |
0 |
0 |
591 |
| Predicting The Outcome of Marketing Negotiations: Role-Playing versus Unaided Opinions |
0 |
0 |
0 |
134 |
0 |
0 |
0 |
939 |
| Predicting elections from politicians’ faces |
0 |
0 |
0 |
83 |
0 |
0 |
1 |
802 |
| Predicting job performance: A comparison of expert opinion and research findings* |
0 |
0 |
1 |
226 |
0 |
1 |
5 |
1,252 |
| Prediction of Consumer Behavior by Experts and Novices |
0 |
0 |
0 |
5 |
0 |
1 |
2 |
39 |
| Principles Involving Marketing Policies: An Empirical Assessment |
0 |
0 |
0 |
409 |
0 |
0 |
1 |
2,414 |
| Publication Bias Against Null Results |
0 |
0 |
0 |
60 |
0 |
0 |
2 |
341 |
| Publishing Standards for Research in Forecasting (Editorial) |
0 |
0 |
0 |
46 |
0 |
0 |
0 |
255 |
| Quality Control Versus Innovation in Research on Marketing |
0 |
0 |
0 |
130 |
0 |
0 |
0 |
700 |
| Readability and Prestige in Scientific Journals |
0 |
0 |
0 |
72 |
0 |
1 |
1 |
443 |
| Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project, with Reply to Commentators |
0 |
0 |
0 |
96 |
0 |
0 |
0 |
869 |
| Relative Accuracy of Judgmental and Extrapolative Methods in Forecasting Annual Earnings |
0 |
0 |
0 |
62 |
0 |
2 |
2 |
377 |
| Replications and Extensions in Marketing – Rarely Published But Quite Contrary* |
0 |
0 |
0 |
84 |
0 |
0 |
0 |
441 |
| Research on Forecasting: A Quarter-Century Review, 1960-1984 |
0 |
0 |
0 |
111 |
1 |
2 |
4 |
401 |
| Research on Scientific Journals: Implications for Editors and Authors |
0 |
0 |
0 |
83 |
1 |
1 |
1 |
390 |
| Return Postage in Mail Surveys: A Meta Analysis |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
18 |
| Return Postage in Mail Surveys: A Meta Analysis |
0 |
0 |
0 |
73 |
0 |
0 |
0 |
634 |
| Review of Co-opetition by Adam M. Brandenburger and Barry J. Nalebuff |
0 |
1 |
4 |
12 |
0 |
1 |
10 |
75 |
| Review of Don A. Dillman's Mail and Telephone Surveys, New York: John Wiley & Sons, 1978 |
0 |
0 |
0 |
174 |
0 |
0 |
0 |
1,310 |
| Review of Peter W. Huber, Liability: The Legal Revolution and Its Consequences, New York: Basic Books, Inc., 1988 |
0 |
0 |
2 |
126 |
0 |
0 |
4 |
788 |
| Review of Ravi Batra, The Great Depression of 1990 |
2 |
2 |
2 |
2 |
2 |
4 |
12 |
24 |
| Review of Ravi Batra, The Great Depression of 1990 (Simon and Schuster, New York, 1985) |
0 |
1 |
1 |
393 |
0 |
3 |
7 |
2,990 |
| Review of Steven J. Rosenstone, Forecasting Presidential Elections (published by Yale University Press, New Haven, CT, 1983)) |
0 |
0 |
2 |
101 |
0 |
0 |
3 |
563 |
| Review of: Predicting Presidential Elections and Other Things |
0 |
0 |
0 |
67 |
0 |
1 |
1 |
282 |
| Role Conflict: Society’s Dilemma with Excellence in Marketing |
0 |
0 |
1 |
150 |
0 |
0 |
1 |
971 |
| Role thinking: Standing in other people’s shoes to forecast decisions in conflicts |
0 |
0 |
0 |
81 |
0 |
0 |
3 |
210 |
| Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations |
0 |
0 |
1 |
256 |
0 |
0 |
3 |
1,036 |
| Sales Forecasts for Existing Consumer Products and Services: Do Purchase Intentions Contribute to Accuracy? |
0 |
0 |
0 |
3 |
1 |
2 |
2 |
46 |
| Should We Redesign Forecasting Competitions? |
0 |
0 |
0 |
48 |
0 |
2 |
2 |
213 |
| Significance Tests Harm Progress in Forecasting |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
26 |
| Social Irresponsibility in Management |
0 |
1 |
1 |
94 |
0 |
3 |
6 |
656 |
| Strategic Planning And Forecasting Fundamentals |
0 |
0 |
2 |
1,489 |
0 |
0 |
2 |
7,239 |
| Strategic Planning Improves Manufacturing Performance |
0 |
0 |
0 |
283 |
0 |
0 |
1 |
885 |
| Strategic Planning Improves Manufacturing Performance |
0 |
0 |
1 |
3 |
0 |
0 |
1 |
13 |
| Strategic Planning and Forecasting Fundamentals |
0 |
0 |
0 |
9 |
0 |
0 |
4 |
53 |
| Strategies for Implementing Change: An Experiential Approach |
0 |
0 |
0 |
247 |
0 |
0 |
2 |
1,432 |
| Structured Analogies for Forecasting |
0 |
0 |
0 |
159 |
0 |
0 |
2 |
774 |
| Structured analogies for forecasting |
0 |
0 |
0 |
68 |
0 |
0 |
1 |
268 |
| Teacher vs. Learner Responsibility in Management Education |
0 |
0 |
0 |
197 |
0 |
0 |
1 |
1,218 |
| Teacher vs. Learner Responsibility in Management Education |
0 |
0 |
0 |
102 |
0 |
0 |
0 |
548 |
| The Case for Minimum Teaching Standards |
0 |
0 |
0 |
46 |
0 |
0 |
0 |
220 |
| The Case for Minimum Teaching Standards |
0 |
0 |
0 |
40 |
0 |
0 |
1 |
226 |
| The Case of the Detrimental Drug: Implications for the Stakeholder Theory of Directorship |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
345 |
| The Case of the Detrimental Drug: Implications for the Stakeholder Theory of Directorship |
0 |
0 |
0 |
38 |
0 |
1 |
1 |
416 |
| The Devil s Advocate Responds to an MBA Student s Claim that Research Harms Learning |
0 |
0 |
0 |
192 |
0 |
0 |
0 |
723 |
| The Graffiti Problem |
2 |
2 |
6 |
369 |
3 |
6 |
14 |
3,991 |
| The Graffiti Solution |
0 |
0 |
0 |
167 |
0 |
1 |
4 |
1,290 |
| The Importance of Objectivity and Falsification in Management Science |
0 |
0 |
0 |
95 |
0 |
2 |
5 |
1,028 |
| The Manager’s Dilemma: Role Conflict in Marketing |
0 |
0 |
0 |
179 |
0 |
0 |
0 |
983 |
| The Natural Learning Project |
0 |
0 |
0 |
47 |
0 |
0 |
1 |
300 |
| The Panalba Role Playing Case |
2 |
2 |
3 |
252 |
14 |
21 |
32 |
1,052 |
| The Profitability of Winning |
0 |
0 |
0 |
70 |
0 |
0 |
1 |
310 |
| The Seer-Sucker Theory: The Value of Experts in Forecasting |
1 |
1 |
4 |
399 |
3 |
7 |
29 |
2,938 |
| The Value of Formal Planning for Strategic Decisions: A Reply |
0 |
0 |
0 |
279 |
0 |
0 |
0 |
1,432 |
| The Value of Surprising Findings for Research on Marketing |
0 |
0 |
0 |
73 |
0 |
1 |
1 |
304 |
| The value of formal planning for strategic decisions: review of empirical research |
0 |
0 |
0 |
6 |
0 |
1 |
4 |
42 |
| The war in Iraq: Should we have expected better forecasts? |
0 |
0 |
0 |
69 |
0 |
0 |
0 |
415 |
| Tom Swift and His Electric Regression Analysis Machine: 1973 |
0 |
0 |
0 |
97 |
0 |
0 |
0 |
441 |
| Value of Expertise For Forecasting Decisions in Conflicts |
0 |
0 |
0 |
47 |
1 |
1 |
2 |
279 |
| Verification of Citations: Fawlty Towers of Knowledge? |
0 |
1 |
1 |
84 |
0 |
1 |
1 |
318 |
| Would Mandatory Attendance Be Effective for Economics Classes? |
0 |
0 |
0 |
80 |
1 |
1 |
1 |
454 |
| Would Mandatory Attendance Be Effective for Economics Classes? |
0 |
0 |
0 |
81 |
1 |
1 |
2 |
430 |
| Total Working Papers |
12 |
24 |
70 |
20,384 |
56 |
154 |
462 |
107,017 |
| 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 |
1 |
67 |
0 |
1 |
2 |
235 |
| 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 |
74 |
0 |
0 |
2 |
210 |
| 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 |
3 |
6 |
86 |
0 |
4 |
11 |
315 |
| Accuracy of judgmental forecasts: A comparison: R. Nada Sanders, Omega, 20 (1992) 353-364 |
0 |
0 |
0 |
78 |
1 |
1 |
1 |
246 |
| 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 |
1 |
1 |
32 |
1 |
3 |
6 |
187 |
| An application of rule-based forecasting to a situation lacking domain knowledge |
0 |
0 |
0 |
32 |
0 |
0 |
1 |
171 |
| Assessing game theory, role playing, and unaided judgment |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
179 |
| Automatic identification of time series features for rule-based forecasting |
0 |
0 |
0 |
39 |
0 |
0 |
1 |
225 |
| Beyond accuracy: Comparison of criteria used to select forecasting methods |
0 |
0 |
0 |
61 |
1 |
1 |
1 |
283 |
| Combined Forecasts of the 2008 Election: The Pollyvote |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
363 |
| Combined Forecasts of the 2012 Election: The PollyVote |
0 |
0 |
1 |
11 |
1 |
1 |
3 |
64 |
| Combining forecasts: An application to elections |
0 |
0 |
0 |
16 |
0 |
0 |
2 |
82 |
| Combining forecasts: The end of the beginning or the beginning of the end? |
0 |
0 |
1 |
27 |
0 |
1 |
4 |
126 |
| Communication of research on forecasting: The journal |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
47 |
| Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task |
0 |
0 |
0 |
11 |
0 |
0 |
2 |
141 |
| Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
49 |
| Conditions under which index models are useful: Reply to bio-index commentaries |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
76 |
| Damped seasonality factors: Introduction |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
108 |
| Decomposition by causal forces: a procedure for forecasting complex time series |
0 |
0 |
1 |
31 |
0 |
0 |
1 |
166 |
| Decomposition of time-series by level and change |
0 |
0 |
1 |
5 |
0 |
0 |
1 |
34 |
| Discovery and communication of important marketing findings: Evidence and proposals |
0 |
0 |
1 |
32 |
0 |
0 |
2 |
242 |
| Econometric Forecasting and the Science Court |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
142 |
| Editorial |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
18 |
| Editorial policies for the publication of controversial findings |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
67 |
| Editorial: Reflections on forecasting in the 1980's |
0 |
0 |
0 |
13 |
0 |
0 |
1 |
83 |
| Effects of corporate social responsibility and irresponsibility policies |
0 |
2 |
2 |
16 |
0 |
4 |
10 |
233 |
| Error measures for generalizing about forecasting methods: Empirical comparisons |
0 |
1 |
4 |
281 |
0 |
3 |
15 |
949 |
| Expert opinions about extrapolation and the mystery of the overlooked discontinuities |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
134 |
| 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 |
131 |
0 |
0 |
3 |
483 |
| 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 |
0 |
0 |
94 |
| Findings from evidence-based forecasting: Methods for reducing forecast error |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
262 |
| Forecasting by Extrapolation: Conclusions from 25 Years of Research |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
14 |
| Forecasting methods and principles: Evidence-based checklists |
0 |
0 |
2 |
4 |
1 |
5 |
12 |
50 |
| Forecasting of software development work effort: Introduction |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
146 |
| Forecasting practices in US corporations: Survey results: Nada Sanders and Karl B. Manrodt, 1994, interfaces, 24, 92-100 |
0 |
0 |
2 |
250 |
1 |
2 |
9 |
638 |
| Forecasting with Econometric Methods: Folklore versus Fact |
0 |
0 |
0 |
83 |
0 |
0 |
0 |
313 |
| Forecasts of the 2012 US Presidential Election based on Candidates’ Perceived Competence in Handling the Most Important Issue* |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
14 |
| From the editors |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
49 |
| Generalization and communication issues in the use of error measures: A reply |
0 |
0 |
0 |
17 |
0 |
0 |
1 |
113 |
| Global Warming: Forecasts by Scientists Versus Scientific Forecasts |
0 |
0 |
2 |
2 |
1 |
5 |
7 |
17 |
| Golden rule of forecasting rearticulated: Forecast unto others as you would have them forecast unto you |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
27 |
| Golden rule of forecasting: Be conservative |
0 |
0 |
0 |
14 |
0 |
1 |
4 |
105 |
| Harvard Business Review: David M. Georgoff and Robert G. Murdick, manager's guide to forecasting, 64 (Jan-Feb.) (1986) 110-120 |
0 |
2 |
13 |
845 |
0 |
5 |
37 |
1,964 |
| Heuristics, biases and improvement strategies in judgmental time series: P. Goodwin and G. Wright, 1994, Omega, 22, 553-568 |
0 |
0 |
0 |
48 |
0 |
0 |
1 |
158 |
| How We Computed the Pollyvote |
1 |
2 |
3 |
36 |
2 |
4 |
5 |
180 |
| Identification of Asymmetric Prediction Intervals through Causal Forces |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
176 |
| 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 |
0 |
257 |
| J. Scott Armstrong, Forecasting by extrapolation: Conclusions from 25 years of research, Interfaces 14 (1984), pp. 52-66 |
0 |
1 |
1 |
44 |
0 |
1 |
1 |
182 |
| 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 |
1 |
960 |
| Journal of economic literature: Clifford Winston, 1993, Economic deregulation: Days of reckoning for microeconomists, 31, 1263-1289 |
0 |
1 |
2 |
145 |
0 |
2 |
5 |
479 |
| 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 |
5 |
279 |
| Judgmental decomposition: when does it work? |
0 |
0 |
0 |
22 |
0 |
2 |
4 |
161 |
| Making progress in forecasting |
0 |
0 |
0 |
24 |
0 |
1 |
2 |
89 |
| Management science: D. Bunn and G. Wright, "Interaction of Judgmental and Statistical Forecasting Methods: Issues and Analysis", 37 (1991) 501-518 |
0 |
1 |
1 |
67 |
0 |
2 |
3 |
187 |
| Marketing letters: Barry L., Bayus, (1992), Have diffusion rates been accelerating over time? 3 215-226 |
0 |
0 |
0 |
61 |
0 |
0 |
1 |
300 |
| Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared |
0 |
0 |
0 |
94 |
0 |
2 |
8 |
633 |
| 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 |
1 |
30 |
0 |
1 |
2 |
151 |
| Omega 21: G.L. Riddington, (1993), Time varying coefficient models and their forecasting performance, 573-583 |
0 |
0 |
0 |
38 |
0 |
0 |
0 |
146 |
| 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 |
1 |
24 |
0 |
0 |
4 |
173 |
| 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 |
1 |
102 |
0 |
1 |
5 |
297 |
| Polar Bear Population Forecasts: A Public-Policy Forecasting Audit |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
18 |
| Predicting Job Performance: The Moneyball Factor |
0 |
0 |
0 |
42 |
0 |
1 |
1 |
193 |
| 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 |
1 |
1 |
218 |
| Predicting elections from biographical information about candidates: A test of the index method |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
55 |
| Predicting insurance agent turnover using a video-based judgement test: Anthony T. Dalessio, 1994, Journal of Business an Psychology, 9, 23-32 |
0 |
0 |
1 |
51 |
0 |
0 |
1 |
259 |
| Predicting job performance: A comparison of expert opinion and research findings |
0 |
0 |
1 |
28 |
0 |
0 |
4 |
136 |
| Prediction of Consumer Behavior by Experts and Novices |
0 |
0 |
0 |
8 |
1 |
2 |
2 |
450 |
| Public opinion quarterly: Jacob Shamir, preelection polls in Israel: Structural constraints on accuracy, 50 (1986) 62-75 |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
91 |
| 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 |
0 |
0 |
107 |
| 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 |
17 |
1 |
2 |
4 |
152 |
| 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 |
184 |
| Public opinion quarterly: William Buchanan, election predictions: An empirical assessment, 50 (1986) 222-227 |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
71 |
| Publication of research on controversial topics: The early acceptance procedure |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
194 |
| Replication research's disturbing trend |
0 |
0 |
0 |
49 |
1 |
1 |
3 |
182 |
| Replications of forecasting research |
0 |
0 |
1 |
17 |
0 |
0 |
1 |
79 |
| Research Report—Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
| Research on Forecasting for the Manmade Global Warming Alarm |
1 |
1 |
1 |
1 |
1 |
1 |
2 |
16 |
| Research with In-built replications: Comment and further suggestions for replication research |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
38 |
| Role thinking: Standing in other people's shoes to forecast decisions in conflicts |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
179 |
| Role thinking: Standing in other people’s shoes to forecast decisions in conflicts |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
31 |
| Sales forecasts for existing consumer products and services: Do purchase intentions contribute to accuracy? |
0 |
0 |
0 |
69 |
0 |
3 |
8 |
352 |
| Should the Forecasting Process Eliminate Face-to-Face Meetings? |
0 |
0 |
2 |
72 |
0 |
0 |
3 |
249 |
| Significance tests harm progress in forecasting |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
130 |
| Simple versus complex forecasting: The evidence |
0 |
0 |
0 |
33 |
0 |
0 |
9 |
180 |
| Social irresponsibility in management |
2 |
3 |
5 |
41 |
4 |
10 |
15 |
209 |
| Statistical significance tests are unnecessary even when properly done and properly interpreted: Reply to commentaries |
0 |
0 |
0 |
78 |
0 |
0 |
0 |
220 |
| Structured analogies for forecasting |
0 |
0 |
0 |
32 |
0 |
2 |
6 |
199 |
| The Forecasting Canon: Nine Generalizations to Improve Forecast Accuracy |
0 |
0 |
1 |
112 |
0 |
1 |
2 |
313 |
| The Keys to the White House: Forecast for 2008 |
0 |
1 |
1 |
97 |
0 |
1 |
2 |
478 |
| The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review |
0 |
0 |
0 |
3 |
1 |
1 |
2 |
19 |
| The Ombudsman: Business School Prestige—Research versus Teaching |
0 |
0 |
0 |
2 |
0 |
1 |
2 |
16 |
| The Ombudsman: Cheating in Management Science |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
8 |
| The Ombudsman: Is Review By Peers As Fair As It Appears? |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
8 |
| The Ombudsman: Is the Evidence Sufficient to Take Action on Executive Pay? Reply to Commentators |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
| The Ombudsman: Learner Responsibility in Management Education, or Ventures into Forbidden Research |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
8 |
| The Ombudsman: Management Folklore and Management Science—On Portfolio Planning, Escalation Bias, and Such |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
| The Ombudsman: Reaping Benefits from Management Research: Lessons from the Forecasting Principles Project |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
5 |
| The Ombudsman: Research on Forecasting: A Quarter-Century Review, 1960--1984 |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
14 |
| The Ombudsman: Value of Expertise for Forecasting Decisions in Conflicts |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
| The Ombudsman: Verification of Citations: Fawlty Towers of Knowledge? |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
5 |
| The PollyVote’s Year-Ahead Forecast of the 2012 U.S. Presidential Election |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
57 |
| The War in Iraq: Should We Have Expected Better Forecasts? |
0 |
0 |
0 |
12 |
0 |
1 |
1 |
121 |
| The fertile field of meta-analysis: Cumulative progress in agricultural forecasting |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
62 |
| 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 |
1 |
1 |
127 |
0 |
2 |
2 |
425 |
| The great depression of 1990: Ravi Batra, (Simon and Schuster, New York, 1985) pp. 235, $14.95 |
0 |
0 |
2 |
54 |
0 |
0 |
4 |
258 |
| 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 |
2 |
8 |
84 |
0 |
2 |
16 |
219 |
| The uses and abuses of consensus forecasts: Stephen K. McNees,Journal of forecasting, 11 (1992) 703-710 |
0 |
0 |
1 |
134 |
1 |
1 |
7 |
303 |
| 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 |
5 |
326 |
3 |
5 |
19 |
911 |
| The value of formal planning for strategic decisions: Reply |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
12 |
| The value of formal planning for strategic decisions: Review of empirical research |
0 |
0 |
0 |
1 |
0 |
2 |
5 |
20 |
| The value of surprising findings for research on marketing |
0 |
0 |
0 |
16 |
0 |
1 |
1 |
103 |
| Unintelligible Management Research and Academic Prestige |
0 |
0 |
0 |
2 |
0 |
1 |
3 |
13 |
| 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 |
29 |
0 |
2 |
3 |
188 |
| Validity of climate change forecasting for public policy decision making |
0 |
0 |
0 |
12 |
0 |
1 |
1 |
136 |
| Total Journal Articles |
4 |
23 |
80 |
5,100 |
25 |
104 |
330 |
22,185 |
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