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The Effectiveness of Simple Decision Heuristics: Forecasting Commercial Success for Early-Stage Ventures

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Cited by:

  1. Amnon Rapoport & Darryl A. Seale & Leonidas Spiliopoulos, 2023. "Progressive stopping heuristics that excel in individual and competitive sequential search," Theory and Decision, Springer, vol. 94(1), pages 135-165, January.
  2. Andreas Ortmann & Leonidas Spiliopoulos, 2017. "The beauty of simplicity? (Simple) heuristics and the opportunities yet to be realized," Chapters, in: Morris Altman (ed.), Handbook of Behavioural Economics and Smart Decision-Making, chapter 7, pages 119-136, Edward Elgar Publishing.
  3. Jean C. Kouam & Simplice A. Asongu, 2022. "Effects of Taxation on Social Innovation and Implications for Achieving Sustainable Development Goals in Developing Countries: A Literature Review," Working Papers of the African Governance and Development Institute. 22/046, African Governance and Development Institute..
  4. McKenzie, David & Sansone, Dario, 2019. "Predicting entrepreneurial success is hard: Evidence from a business plan competition in Nigeria," Journal of Development Economics, Elsevier, vol. 141(C).
  5. Schweisfurth, Tim & Zaggl, Michael A. & Schöttl, Claus P. & Raasch, Christina, 2017. "Hierarchical similarity biases in idea evaluation: A study in enterprise crowdfunding," Kiel Working Papers 2095, Kiel Institute for the World Economy (IfW Kiel).
  6. Cucchiarini, Veronica & Scicchitano, Sergio & Viale, Riccardo, 2024. "The Entrepreneur's Cognitive and Behavioral Journey: Understanding Heuristics and Bias under Risk and Uncertainty," GLO Discussion Paper Series 1390, Global Labor Organization (GLO).
  7. Guercini, Simone & Milanesi, Matilde, 2020. "Heuristics in international business: A systematic literature review and directions for future research," Journal of International Management, Elsevier, vol. 26(4).
  8. Hossain, Ashrafee & Hossain, Takdir & Jha, Anand & Mougoué, Mbodja, 2023. "Credit ratings and social capital," Journal of Corporate Finance, Elsevier, vol. 78(C).
  9. Brighton, Henry & Gigerenzer, Gerd, 2015. "The bias bias," Journal of Business Research, Elsevier, vol. 68(8), pages 1772-1784.
  10. Fildes, Robert & Goodwin, Paul & Lawrence, Michael & Nikolopoulos, Konstantinos, 2009. "Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning," International Journal of Forecasting, Elsevier, vol. 25(1), pages 3-23.
  11. Wenzel, Matthias & Stjerne, Iben Sandal, 2021. "Heuristics-in-use: Toward a practice theory of organizational heuristics," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
  12. Jongbin Jung & Connor Concannon & Ravi Shroff & Sharad Goel & Daniel G. Goldstein, 2020. "Simple rules to guide expert classifications," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 771-800, June.
  13. Quignon, Aurelien, 2023. "Crowd-based feedback and early-stage entrepreneurial performance: Evidence from a digital platform," Research Policy, Elsevier, vol. 52(7).
  14. Hong Luo & Jeffrey Macher & Michael Wahlen, 2021. "Judgment Aggregation in Creative Production: Evidence from the Movie Industry," Management Science, INFORMS, vol. 67(10), pages 6358-6377, October.
  15. Erin L. Scott & Pian Shu & Roman M. Lubynsky, 2020. "Entrepreneurial Uncertainty and Expert Evaluation: An Empirical Analysis," Management Science, INFORMS, vol. 66(3), pages 1278-1299, March.
  16. Jean Richard Jokhu & Rofikoh Rokhim1 & Riani Rachmawati1 & Mohammad Hamsal, 2019. "Strategic Decision Process in SME’s Context: A New Perspective Using Indigenous, Institution, Firm, and Environment Characteristics," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 68-83.
  17. Jacqueline N. Lane & Misha Teplitskiy & Gary Gray & Hardeep Ranu & Michael Menietti & Eva C. Guinan & Karim R. Lakhani, 2022. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation," Management Science, INFORMS, vol. 68(6), pages 4478-4495, June.
  18. Bornmann, Lutz & Ganser, Christian & Tekles, Alexander, 2022. "Simulation of the h index use at university departments within the bibliometrics-based heuristics framework: Can the indicator be used to compare individual researchers?," Journal of Informetrics, Elsevier, vol. 16(1).
  19. Erin L. Scott & Pian Shu & Roman M. Lubynsky, 2015. "Are “Better” Ideas More Likely to Succeed? An Empirical Analysis of Startup Evaluation," Harvard Business School Working Papers 16-013, Harvard Business School.
  20. Woike, Jan K. & Hoffrage, Ulrich & Petty, Jeffrey S., 2015. "Picking profitable investments: The success of equal weighting in simulated venture capitalist decision making," Journal of Business Research, Elsevier, vol. 68(8), pages 1705-1716.
  21. Laura J. Kornish & Sharaya M. Jones, 2021. "Raw Ideas in the Fuzzy Front End: Verbosity Increases Perceived Creativity," Marketing Science, INFORMS, vol. 40(6), pages 1106-1122, November.
  22. Davidsson, Per & Grégoire, Denis A. & Lex, Maike, 2021. "Venture Idea Assessment (VIA): Development of a needed concept, measure, and research agenda," Journal of Business Venturing, Elsevier, vol. 36(5).
  23. Fasterholdt, Iben & Krahn, Murray & Kidholm, Kristian & Yderstræde, Knud Bonnet & Pedersen, Kjeld Møller, 2017. "Review of early assessment models of innovative medical technologies," Health Policy, Elsevier, vol. 121(8), pages 870-879.
  24. McKenzie, David & Sansone, Dario, 2017. "Man vs. Machine in Predicting Successful Entrepreneurs: Evidence from a Business Plan Competition in Nigeria," CEPR Discussion Papers 12523, C.E.P.R. Discussion Papers.
  25. Aydemir, Nisa Yazici & Huang, Wan-Ling & Welch, Eric W., 2022. "Late-stage academic entrepreneurship: Explaining why academic scientists collaborate with industry to commercialize their patents," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  26. Konstantinos V. Katsikopoulos, 2011. "Psychological Heuristics for Making Inferences: Definition, Performance, and the Emerging Theory and Practice," Decision Analysis, INFORMS, vol. 8(1), pages 10-29, March.
  27. Kevin J. Boudreau & Eva C. Guinan & Karim R. Lakhani & Christoph Riedl, 2016. "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science," Management Science, INFORMS, vol. 62(10), pages 2765-2783, October.
  28. Basel, Jörn S. & Brühl, Rolf, 2013. "Rationality and dual process models of reasoning in managerial cognition and decision making," European Management Journal, Elsevier, vol. 31(6), pages 745-754.
  29. Radu Atanasiu & Riku Ruotsalainen & Svetlana N. Khapova, 2023. "A Simple Rule is Born: How CEOs Distill Heuristics," Journal of Management Studies, Wiley Blackwell, vol. 60(5), pages 1064-1104, July.
  30. Loock, Moritz & Hinnen, Gieri, 2015. "Heuristics in organizations: A review and a research agenda," Journal of Business Research, Elsevier, vol. 68(9), pages 2027-2036.
  31. Scott A. Jeffrey & Moren Lévesque & Andrew L. Maxwell, 2016. "The non-compensatory relationship between risk and return in business angel investment decision making," Venture Capital, Taylor & Francis Journals, vol. 18(3), pages 189-209, July.
  32. Chan, C.S. Richard & Park, Haemin Dennis, 2015. "How images and color in business plans influence venture investment screening decisions," Journal of Business Venturing, Elsevier, vol. 30(5), pages 732-748.
  33. Du, Juan & Chen, Chien-Ming & Chen, Yao & Cook, Wade D. & Zhu, Joe, 2012. "Additive super-efficiency in integer-valued data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 218(1), pages 186-192.
  34. Florenta Teodoridis, 2018. "Understanding Team Knowledge Production: The Interrelated Roles of Technology and Expertise," Management Science, INFORMS, vol. 64(8), pages 3625-3648, August.
  35. Astebro, Thomas B. & Fossen, Frank M. & Gutierrez, Cédric, 2024. "Entrepreneurs: Clueless, Biased, Poor Heuristics, or Bayesian Machines?," IZA Discussion Papers 17231, Institute of Labor Economics (IZA).
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