IDEAS home Printed from https://ideas.repec.org/r/inm/ormnsc/v36y1990i8p887-899.html
   My bibliography  Save this item

Database Models and Managerial Intuition: 50% Model + 50% Manager

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. De Baets, Shari & Harvey, Nigel, 2018. "Forecasting from time series subject to sporadic perturbations: Effectiveness of different types of forecasting support," International Journal of Forecasting, Elsevier, vol. 34(2), pages 163-180.
  2. Ninko Kostovski & Marjan Bojadjiev & Hari Lokvenec, 2017. "Decision Support Systems For New Project Development In Fast Moving Consumer Goods Industries," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 4-14, October.
  3. Piotr Tarka, 2016. "Intuition or Marketing Research Information Usefulness in Business Organizations in the Light of Ordinal Regression Analysis," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 41-51, September.
  4. Baecke, Philippe & De Baets, Shari & Vanderheyden, Karlien, 2017. "Investigating the added value of integrating human judgement into statistical demand forecasting systems," International Journal of Production Economics, Elsevier, vol. 191(C), pages 85-96.
  5. Hensher, D. A. & Louviere, J. J. & Hansen, D. E., 2000. "The use of mixtures of market and experimental choice data in establishing guideline weights for evaluating competitive bids in a transport organisation," Transport Policy, Elsevier, vol. 7(4), pages 279-286, October.
  6. Franses, Ph.H.B.F. & Legerstee, R., 2007. "What drives the relevance and quality of experts' adjustment to model-based forecasts?," Econometric Institute Research Papers EI 2007-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  7. Shepherd, Dean A. & Zacharakis, Andrew, 2002. "Venture capitalists' expertise: A call for research into decision aids and cognitive feedback," Journal of Business Venturing, Elsevier, vol. 17(1), pages 1-20, January.
  8. Goodwin, Paul, 2000. "Correct or combine? Mechanically integrating judgmental forecasts with statistical methods," International Journal of Forecasting, Elsevier, vol. 16(2), pages 261-275.
  9. Madhukar Nagare & Pankaj Dutta & Naoufel Cheikhrouhou, 2016. "Optimal ordering policy for newsvendor models with bidirectional changes in demand using expert judgment," OPSEARCH, Springer;Operational Research Society of India, vol. 53(3), pages 620-647, September.
  10. Lele Cao & Vilhelm von Ehrenheim & Sebastian Krakowski & Xiaoxue Li & Alexandra Lutz, 2022. "Using Deep Learning to Find the Next Unicorn: A Practical Synthesis," Papers 2210.14195, arXiv.org, revised Jun 2024.
  11. Franses, Philip Hans & Kranendonk, Henk C. & Lanser, Debby, 2011. "One model and various experts: Evaluating Dutch macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 482-495, April.
  12. Tim Rakow & Charles Vincent & Kate Bull & Nigel Harvey, 2005. "Assessing the Likelihood of an Important Clinical Outcome: New Insights from a Comparison of Clinical and Actuarial Judgment," Medical Decision Making, , vol. 25(3), pages 262-282, May.
  13. Franses, Ph.H.B.F., 2009. "Forecasting Sales," Econometric Institute Research Papers EI 2009-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  14. Philip Hans Franses & Rianne Legerstee & Richard Paap, 2017. "Estimating loss functions of experts," Applied Economics, Taylor & Francis Journals, vol. 49(4), pages 386-396, January.
  15. Jagmohan S. Raju & Abhik Roy, 2000. "Market Information and Firm Performance," Management Science, INFORMS, vol. 46(8), pages 1075-1084, August.
  16. A A Syntetos & N C Georgantzas & J E Boylan & B C Dangerfield, 2011. "Judgement and supply chain dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1138-1158, June.
  17. Goodwin, Paul, 2002. "Integrating management judgment and statistical methods to improve short-term forecasts," Omega, Elsevier, vol. 30(2), pages 127-135, April.
  18. Axel v. Werder, 1999. "Argumentation Rationality of Management Decisions," Organization Science, INFORMS, vol. 10(5), pages 672-690, October.
  19. Gary L. Lilien & Arvind Rangaswamy & Gerrit H. Van Bruggen & Katrin Starke, 2004. "DSS Effectiveness in Marketing Resource Allocation Decisions: Reality vs. Perception," Information Systems Research, INFORMS, vol. 15(3), pages 216-235, September.
  20. Koen Pauwels, 2004. "How Dynamic Consumer Response, Competitor Response, Company Support, and Company Inertia Shape Long-Term Marketing Effectiveness," Marketing Science, INFORMS, vol. 23(4), pages 596-610, June.
  21. Jessica L. Darby & David J. Ketchen & Brent D. Williams & Travis Tokar, 2020. "The Implications of Firm‐Specific Policy Risk, Policy Uncertainty, and Industry Factors for Inventory: A Resource Dependence Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(4), pages 3-24, October.
  22. Lawrence, M. & O'Connor, M., 1996. "Judgement or models: The importance of task differences," Omega, Elsevier, vol. 24(3), pages 245-254, June.
  23. Li, Yongquan & Zhu, Kaijie, 2009. "Information acquisition in new product introduction," European Journal of Operational Research, Elsevier, vol. 198(2), pages 618-625, October.
  24. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.
  25. Gerrit H. van Bruggen & Ale Smidts & Berend Wierenga, 1998. "Improving Decision Making by Means of a Marketing Decision Support System," Management Science, INFORMS, vol. 44(5), pages 645-658, May.
  26. Myoung Jong Kim & Ingoo Han & Kun Chang Lee, 2004. "Hybrid knowledge integration using the fuzzy genetic algorithm: prediction of the Korea stock price index," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 12(1), pages 43-60, January.
  27. Cote, Joseph A., 2011. "Predicting elections from biographical information about candidates: A commentary essay," Journal of Business Research, Elsevier, vol. 64(7), pages 696-698, July.
  28. Yaniv, Ilan, 2004. "Receiving other people's advice: Influence and benefit," Organizational Behavior and Human Decision Processes, Elsevier, vol. 93(1), pages 1-13, January.
  29. Randolph E. Bucklin & Sunil Gupta, 1999. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives," Marketing Science, INFORMS, vol. 18(3), pages 247-273.
  30. Franses, Philip Hans & Legerstee, Rianne, 2009. "Properties of expert adjustments on model-based SKU-level forecasts," International Journal of Forecasting, Elsevier, vol. 25(1), pages 35-47.
  31. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
  32. Song, Haiyan & Gao, Bastian Z. & Lin, Vera S., 2013. "Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system," International Journal of Forecasting, Elsevier, vol. 29(2), pages 295-310.
  33. Anqiang Huang & Kin Keung Lai & Han Qiao & Shouyang Wang & Zhenji Zhang, 2018. "Does Interval Knowledge Sharpen Forecasting Models? Evidence from China’s Typical Ports," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 467-483, March.
  34. Dhami, Mandeep K. & Thomson, Mary E., 2012. "On the relevance of Cognitive Continuum Theory and quasirationality for understanding management judgment and decision making," European Management Journal, Elsevier, vol. 30(4), pages 316-326.
  35. Mandeep K. Dhami & Jeryl L. Mumpower, 2018. "Kenneth R. Hammond’s contributions to the study of judgment and decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(1), pages 1-22, January.
  36. Legerstee, R. & Franses, Ph.H.B.F. & Paap, R., 2011. "Do experts incorporate statistical model forecasts and should they?," Econometric Institute Research Papers EI2011-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  37. Raelin, Joseph A., 2007. "Toward an Epistemology of Practice," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(4), pages 495-519.
  38. Franses, Philip Hans, 2008. "Merging models and experts," International Journal of Forecasting, Elsevier, vol. 24(1), pages 31-33.
  39. Ian Clarke & William Mackaness & Barbara Ball & Masahide Horita, 2003. "The Devil is in the Detail: Visualising Analogical Thought in Retail Location Decisionmaking," Environment and Planning B, , vol. 30(1), pages 15-36, February.
  40. Doyle, J. R. & Arthurs, A. J. & Green, R. H. & McAulay, L. & Pitt, M. R. & Bottomley, P. A. & Evans, W., 1996. "The judge, the model of the judge, and the model of the judged as judge: Analyses of the UK 1992 research assessment exercise data for business and management studies," Omega, Elsevier, vol. 24(1), pages 13-28, February.
  41. Althuizen, N.A.P. & Wierenga, B., 2003. "The Effectiveness of Case-Based Reasoning: An Application in Sales Promotions," ERIM Report Series Research in Management ERS-2003-053-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  42. Armstrong, J. Scott & Brodie, Roderick J., 1999. "Forecasting for Marketing," MPRA Paper 81690, University Library of Munich, Germany.
  43. Kamstra, Mark & Kennedy, Peter, 1998. "Combining qualitative forecasts using logit," International Journal of Forecasting, Elsevier, vol. 14(1), pages 83-93, March.
  44. Yan, Ruiliang & Ghose, Sanjoy, 2010. "Forecast information and traditional retailer performance in a dual-channel competitive market," Journal of Business Research, Elsevier, vol. 63(1), pages 77-83, January.
  45. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009. "Expert opinion versus expertise in forecasting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346, August.
  46. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
  47. Michael Allan Ribers & Hannes Ullrich, 2023. "Machine learning and physician prescribing: a path to reduced antibiotic use," Berlin School of Economics Discussion Papers 0019, Berlin School of Economics.
  48. Martin Spann & Bernd Skiera, 2003. "Internet-Based Virtual Stock Markets for Business Forecasting," Management Science, INFORMS, vol. 49(10), pages 1310-1326, October.
  49. Dong, Weimin & Swain, Scott D. & Berger, Paul D., 2007. "The role of channel quality in customer equity management," Journal of Business Research, Elsevier, vol. 60(12), pages 1243-1252, December.
  50. Goodwin, Paul & Fildes, Robert & Lawrence, Michael & Stephens, Greg, 2011. "Restrictiveness and guidance in support systems," Omega, Elsevier, vol. 39(3), pages 242-253, June.
  51. Philip Hans Franses, 2011. "Averaging Model Forecasts and Expert Forecasts: Why Does It Work?," Interfaces, INFORMS, vol. 41(2), pages 177-181, April.
  52. Dinesh Puranam & Vishal Narayan & Vrinda Kadiyali, 2017. "The Effect of Calorie Posting Regulation on Consumer Opinion: A Flexible Latent Dirichlet Allocation Model with Informative Priors," Marketing Science, INFORMS, vol. 36(5), pages 726-746, September.
  53. Abolghasemi, Mahdi & Hurley, Jason & Eshragh, Ali & Fahimnia, Behnam, 2020. "Demand forecasting in the presence of systematic events: Cases in capturing sales promotions," International Journal of Production Economics, Elsevier, vol. 230(C).
  54. T R Willemain & W A Wallace & K R Fleischmann & L B Waisel & S N Ganaway, 2003. "Bad numbers: coping with flawed decision support," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(9), pages 949-957, September.
  55. Philip Hans Franses & Rianne Legerstee, 2010. "Do experts' adjustments on model-based SKU-level forecasts improve forecast quality?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 331-340.
  56. Ilan Yaniv, 2005. "Receiving Other People's Advice: Influence and Benefit," Discussion Paper Series dp405, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
  57. Zacharakis, Andrew & Shepherd, Dean A., 2005. "A non-additive decision-aid for venture capitalists' investment decisions," European Journal of Operational Research, Elsevier, vol. 162(3), pages 673-689, May.
  58. Rianne Legerstee & Philip Hans Franses, 2014. "Do Experts’ SKU Forecasts Improve after Feedback?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 69-79, January.
  59. Ozer, Muammer, 2009. "The roles of product lead-users and product experts in new product evaluation," Research Policy, Elsevier, vol. 38(8), pages 1340-1349, October.
  60. Philip Hans Franses, 2021. "Modeling Judgment in Macroeconomic Forecasts," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 401-417, December.
  61. Önkal, Dilek & Lawrence, Michael & Zeynep SayIm, K., 2011. "Influence of differentiated roles on group forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 27(1), pages 50-68, January.
  62. Sanders, N. R., 1997. "The impact of task properties feedback on time series judgmental forecasting tasks," Omega, Elsevier, vol. 25(2), pages 135-144, April.
  63. Trapero, Juan R. & Pedregal, Diego J. & Fildes, R. & Kourentzes, N., 2013. "Analysis of judgmental adjustments in the presence of promotions," International Journal of Forecasting, Elsevier, vol. 29(2), pages 234-243.
  64. Makridakis, Spyros & Hyndman, Rob J. & Petropoulos, Fotios, 2020. "Forecasting in social settings: The state of the art," International Journal of Forecasting, Elsevier, vol. 36(1), pages 15-28.
  65. Franses, Ph.H.B.F., 2006. "Formalizing judgemental adjustment of model-based forecasts," Econometric Institute Research Papers EI 2006-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  66. Lilien, G.L. & Rangaswamy, A. & Starke, K. & van Bruggen, G.H., 2001. "How and Why Decision Models Influence Marketing Resource Allocations," ERIM Report Series Research in Management ERS-2001-33-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  67. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics.
  68. Vicki G. Morwitz & David C. Schmittlein, 1998. "Testing New Direct Marketing Offerings: The Interplay of Management Judgment and Statistical Models," Management Science, INFORMS, vol. 44(5), pages 610-628, May.
  69. Lilien, Gary L. & Rangaswamy, Arvind & van Bruggen, Gerrit H. & Wierenga, Berend, 2002. "Bridging the marketing theory-practice gap with marketing engineering," Journal of Business Research, Elsevier, vol. 55(2), pages 111-121, February.
  70. Lehmann, Donald R., 2020. "The evolving world of research in marketing and the blending of theory and data," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 27-42.
  71. Webby, Richard & O'Connor, Marcus, 1996. "Judgemental and statistical time series forecasting: a review of the literature," International Journal of Forecasting, Elsevier, vol. 12(1), pages 91-118, March.
  72. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
  73. Albers, Sönke, 2012. "Optimizable and implementable aggregate response modeling for marketing decision support," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 111-122.
  74. Mirko Kremer & Enno Siemsen & Douglas J. Thomas, 2016. "The Sum and Its Parts: Judgmental Hierarchical Forecasting," Management Science, INFORMS, vol. 62(9), pages 2745-2764, September.
  75. Önkal, Dilek & Lawrence, Michael & Zeynep Sayım, K., 2011. "Influence of differentiated roles on group forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 27(1), pages 50-68.
  76. Alvarado-Valencia, Jorge & Barrero, Lope H. & Önkal, Dilek & Dennerlein, Jack T., 2017. "Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting," International Journal of Forecasting, Elsevier, vol. 33(1), pages 298-313.
  77. P H Franses & R Legerstee, 2011. "Experts' adjustment to model-based SKU-level forecasts: does the forecast horizon matter?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 537-543, March.
  78. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
  79. Adinolfi, Paola, 2021. "A journey around decision-making: Searching for the “big picture” across disciplines," European Management Journal, Elsevier, vol. 39(1), pages 9-21.
  80. John C. Yi & Sungho Kim, 2016. "Early Adoption of Innovative Analytical Approach and Its Impact on Organizational Analytics Maturity and Sustainability: A Longitudinal Study from a U.S. Pharmaceutical Company," Sustainability, MDPI, vol. 8(8), pages 1-19, August.
  81. F Caniato & M Kalchschmidt & S Ronchi, 2011. "Integrating quantitative and qualitative forecasting approaches: organizational learning in an action research case," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 413-424, March.
  82. Goodwin, P., 1996. "Statistical correction of judgmental point forecasts and decisions," Omega, Elsevier, vol. 24(5), pages 551-559, October.
  83. Anqiang Huang & Han Qiao & Shouyang Wang & John Liu, 2016. "Improving Forecasting Performance by Exploiting Expert Knowledge: Evidence from Guangzhou Port," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 387-401, March.
  84. Seifert, Matthias & Hadida, Allègre L., 2013. "On the relative importance of linear model and human judge(s) in combined forecasting," Organizational Behavior and Human Decision Processes, Elsevier, vol. 120(1), pages 24-36.
  85. van Bruggen, G.H. & Smidts, A. & Wierenga, B., 2000. "The Powerful Triangle of Marketing Data, Managerial Judgment, and Marketing Management Support Systems," ERIM Report Series Research in Management ERS-2000-33-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  86. Mukhopadhyay, Samar K. & Yue, Xiaohang & Zhu, Xiaowei, 2011. "A Stackelberg model of pricing of complementary goods under information asymmetry," International Journal of Production Economics, Elsevier, vol. 134(2), pages 424-433, December.
  87. Franses, Philip Hans & Legerstee, Rianne, 2013. "Do statistical forecasting models for SKU-level data benefit from including past expert knowledge?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 80-87.
  88. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
  89. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
  90. Sanjeev Swami, 2006. "—Research Perspectives at the Interface of Marketing and Operations: Applications to the Motion Picture Industry," Marketing Science, INFORMS, vol. 25(6), pages 670-673, 11-12.
  91. Mostard, Julien & Teunter, Ruud & de Koster, René, 2011. "Forecasting demand for single-period products: A case study in the apparel industry," European Journal of Operational Research, Elsevier, vol. 211(1), pages 139-147, May.
  92. Dominik Dellermann & Nikolaus Lipusch & Philipp Ebel & Jan Marco Leimeister, 2019. "Design principles for a hybrid intelligence decision support system for business model validation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 423-441, September.
  93. Jonathan Lee & Peter Boatwright & Wagner A. Kamakura, 2003. "A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music," Management Science, INFORMS, vol. 49(2), pages 179-196, February.
  94. Franses, Philip Hans, 2013. "Improving judgmental adjustment of model-based forecasts," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 1-8.
  95. Wierenga, Berend, 2011. "Managerial decision making in marketing: The next research frontier," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 89-101.
  96. Blattenberger, Gail & Fowles, Richard, 1995. "Road closure to mitigate avalanche danger: a case study for Little Cottonwood Canyon," International Journal of Forecasting, Elsevier, vol. 11(1), pages 159-174, March.
  97. Jorgensen, Magne, 2007. "Forecasting of software development work effort: Evidence on expert judgement and formal models," International Journal of Forecasting, Elsevier, vol. 23(3), pages 449-462.
  98. repec:cup:judgdm:v:13:y:2018:i:1:p:1-22 is not listed on IDEAS
  99. Berend Wierenga & Gerrit H. Van Bruggen & Richard Staelin, 1999. "The Success of Marketing Management Support Systems," Marketing Science, INFORMS, vol. 18(3), pages 196-207.
  100. Petropoulos, Fotios & Fildes, Robert & Goodwin, Paul, 2016. "Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?," European Journal of Operational Research, Elsevier, vol. 249(3), pages 842-852.
  101. Kendra Fowler, 2016. "Exploring the use of managerial intuition in retail site selection," The Service Industries Journal, Taylor & Francis Journals, vol. 36(5-6), pages 183-199, April.
  102. Stewart, Thomas R. & Roebber, Paul J. & Bosart, Lance F., 1997. "The Importance of the Task in Analyzing Expert Judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(3), pages 205-219, March.
  103. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
  104. Christina L. Brown, 1999. "“Do the Right Thing:” Diverging Effects of Accountability in a Managerial Context," Marketing Science, INFORMS, vol. 18(3), pages 230-246.
  105. Whitecotton, Stacey M. & Sanders, D. Elaine & Norris, Kathleen B., 1998. "Improving Predictive Accuracy with a Combination of Human Intuition and Mechanical Decision Aids," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(3), pages 325-348, December.
  106. Shapiro, Stewart & Spence, Mark T., 1997. "Managerial intuition: A conceptual and operational framework," Business Horizons, Elsevier, vol. 40(1), pages 63-68.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.