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Christoph Riedl

Personal Details

First Name:Christoph
Middle Name:
Last Name:Riedl
Suffix:
RePEc Short-ID:pri435
http://christophriedl.net/
Twitter: @criedl

Affiliation

(50%) Department of Economics
Northeastern University

Boston, Massachusetts (United States)
https://www.northeastern.edu/cssh/economics/

(617)373-2882
(617)373-3640
301 Lake hall, 360 Huntington Avenue, Boston MA 02115
RePEc:edi:ecneuus (more details at EDIRC)

(50%) D'Amore-McKim School of Business
Northeastern University

Boston, Massachusetts (United States)
https://damore-mckim.northeastern.edu/



360 Huntington Ave, Boston, MA 02115
RePEc:edi:cbneuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ivo Blohm & Christoph Riedl & Johann Fuller & Orhan Koroglu & Jan Marco Leimeister & Helmut Krcmar, 2012. "The Effects of Prediction Market Design and Price Elasticity on Trading Performance of Users: An Experimental Analysis," Papers 1204.3457, arXiv.org.

Articles

  1. Christoph Riedl & Victor P. Seidel, 2018. "Learning from Mixed Signals in Online Innovation Communities," Organization Science, INFORMS, vol. 29(6), pages 1010-1032, December.
  2. 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.
  3. Ivo Blohm & Christoph Riedl & Johann Füller & Jan Marco Leimeister, 2016. "Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing," Information Systems Research, INFORMS, vol. 27(1), pages 27-48, March.
  4. Christoph Riedl & Norman May & Jan Finzen & Stephan Stathel & Viktor Kaufman & Helmut Krcmar, 2009. "An Idea Ontology for Innovation Management," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 5(4), pages 1-18, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Ivo Blohm & Christoph Riedl & Johann Fuller & Orhan Koroglu & Jan Marco Leimeister & Helmut Krcmar, 2012. "The Effects of Prediction Market Design and Price Elasticity on Trading Performance of Users: An Experimental Analysis," Papers 1204.3457, arXiv.org.

    Cited by:

    1. Cary Deck & David Porter, 2013. "Prediction Markets in the Laboratory," Working Papers 13-05, Chapman University, Economic Science Institute.

Articles

  1. 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.

    Cited by:

    1. Andrew Shipilov & Frédéric C. Godart & Julien Clement, 2017. "Which boundaries? How mobility networks across countries and status groups affect the creative performance of organizations," Strategic Management Journal, Wiley Blackwell, vol. 38(6), pages 1232-1252, June.
    2. Nicolas Carayol, 2018. "The Right Job and the Job Right: Novelty, Impact and Journal Stratification in Science," Post-Print hal-02274559, HAL.
    3. Jian Wang & Reinhilde Veugelers & Paula Stephan, 2016. "Bias against Novelty in Science: A Cautionary Tale for Users of Bibliometric Indicators," NBER Working Papers 22180, National Bureau of Economic Research, Inc.
    4. Wang, Jian & Lee, You-Na & Walsh, John P., 2018. "Funding model and creativity in science: Competitive versus block funding and status contingency effects," Research Policy, Elsevier, vol. 47(6), pages 1070-1083.
    5. Sotaro Shibayama & Jian Wang, 2020. "Measuring originality in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 409-427, January.
    6. Brattström, Erik & Hellström, Tomas, 2019. "Street-level priority-setting: The role of discretion in implementation of research, development, and innovation priorities," Energy Policy, Elsevier, vol. 127(C), pages 240-247.
    7. Elise S. Brezis & Aliaksandr Birukou, 2020. "Arbitrariness in the peer review process," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 393-411, April.
    8. Rossello, Giulia & Cowan, Robin & Mairesse, Jacques, 2020. "Ph.D. research output in STEM: the role of gender and race in supervision," MERIT Working Papers 2020-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. 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).
    10. Mikko Packalen, 2019. "Edge factors: scientific frontier positions of nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 787-808, March.
    11. Stephen A Gallo & Joanne H Sullivan & Scott R Glisson, 2016. "The Influence of Peer Reviewer Expertise on the Evaluation of Research Funding Applications," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-18, October.
    12. Fontana, Magda & Iori, Martina & Montobbio, Fabio & Sinatra, Roberta, 2020. "New and atypical combinations: An assessment of novelty and interdisciplinarity," Research Policy, Elsevier, vol. 49(7).
    13. Danielle Li, 2017. "Expertise versus Bias in Evaluation: Evidence from the NIH," American Economic Journal: Applied Economics, American Economic Association, vol. 9(2), pages 60-92, April.
    14. Chai, Sen & Menon, Anoop, 2019. "Breakthrough recognition: Bias against novelty and competition for attention," Research Policy, Elsevier, vol. 48(3), pages 733-747.
    15. Jürgen Janger & Nicole Schmidt & Anna Strauss, 2019. "International Differences in Basic Research Grant Funding. A Systematic Comparison," WIFO Studies, WIFO, number 61664, August.
    16. Julian Kolev & Yuly Fuentes-Medel & Fiona Murray, 2019. "Is Blinded Review Enough? How Gendered Outcomes Arise Even Under Anonymous Evaluation," NBER Working Papers 25759, National Bureau of Economic Research, Inc.
    17. Mikko Packalen & Jay Bhattacharya, 2015. "Neophilia Ranking of Scientific Journals," NBER Working Papers 21579, National Bureau of Economic Research, Inc.
    18. Banal-Estañol, Albert & Macho-Stadler, Inés & Pérez-Castrillo, David, 2019. "Evaluation in research funding agencies: Are structurally diverse teams biased against?," Research Policy, Elsevier, vol. 48(7), pages 1823-1840.
    19. Karol Flores-Szwagrzak & Rafael Treibich, 2020. "Teamwork and Individual Productivity," Management Science, INFORMS, vol. 66(6), pages 2523-2544, June.
    20. Ivo Blohm & Christoph Riedl & Johann Füller & Jan Marco Leimeister, 2016. "Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing," Information Systems Research, INFORMS, vol. 27(1), pages 27-48, March.
    21. Miguel Navascués & Costantino Budroni, 2019. "Theoretical research without projects," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-35, March.
    22. Pierre Azoulay & Erica Fuchs & Anna P. Goldstein & Michael Kearney, 2018. "Funding Breakthrough Research: Promises and Challenges of the "ARPA Model"," NBER Chapters, in: Innovation Policy and the Economy, Volume 19, pages 69-96, National Bureau of Economic Research, Inc.
    23. Stephen Gallo & Lisa Thompson & Karen Schmaling & Scott Glisson, 2018. "Risk evaluation in peer review of grant applications," Environment Systems and Decisions, Springer, vol. 38(2), pages 216-229, June.
    24. Marco Ottaviani, 2020. "Grantmaking," Working Papers 672, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    25. Albert Banal-Estañol & Inés Macho-Stadler & David Pérez-Castrillo, 2016. "Key success drivers in public research grants: Funding the seeds of radical innovation in academia?," Economics Working Papers 1518, Department of Economics and Business, Universitat Pompeu Fabra.
    26. Albert Bravo-Biosca, 2019. "Experimental Innovation Policy," NBER Working Papers 26273, National Bureau of Economic Research, Inc.
    27. Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
    28. Christian Catalini & Christian Fons-Rosen & Patrick Gaulé, 2020. "How Do Travel Costs Shape Collaboration?," Management Science, INFORMS, vol. 66(8), pages 3340-3360, August.
    29. 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.
    30. Hasan, Sharique & Koning, Rembrand, 2019. "Conversations and idea generation: Evidence from a field experiment," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    31. Rodríguez Sánchez, Isabel & Makkonen, Teemu & Williams, Allan M., 2019. "Peer review assessment of originality in tourism journals: critical perspective of key gatekeepers," Annals of Tourism Research, Elsevier, vol. 77(C), pages 1-11.
    32. Blandinieres, Florence & Pellens, Maikel, 2021. "Scientist's industry engagement and the research agenda: Evidence from Germany," ZEW Discussion Papers 21-001, ZEW - Leibniz Centre for European Economic Research.
    33. Pierre Azoulay & Danielle Li, 2020. "Scientific Grant Funding," NBER Working Papers 26889, National Bureau of Economic Research, Inc.
    34. Michaël Bikard, 2018. "Made in Academia: The Effect of Institutional Origin on Inventors’ Attention to Science," Organization Science, INFORMS, vol. 29(5), pages 818-836, October.
    35. Frank Nagle & Florenta Teodoridis, 2020. "Jack of all trades and master of knowledge: The role of diversification in new distant knowledge integration," Strategic Management Journal, Wiley Blackwell, vol. 41(1), pages 55-85, January.
    36. Teplitskiy, Misha & Acuna, Daniel & Elamrani-Raoult, Aïda & Körding, Konrad & Evans, James, 2018. "The sociology of scientific validity: How professional networks shape judgement in peer review," Research Policy, Elsevier, vol. 47(9), pages 1825-1841.
    37. Michaël Bikard, 2020. "Idea twins: Simultaneous discoveries as a research tool," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1528-1543, August.
    38. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    39. Richard Carson & Joshua S. Graff Zivin & Jordan Louviere & Sally Sadoff & Jeffrey G. Shrader Jr, 2020. "The Risk of Caution: Evidence from an R&D Experiment," NBER Working Papers 26847, National Bureau of Economic Research, Inc.
    40. Jay Bhattacharya & Mikko Packalen, 2020. "Stagnation and Scientific Incentives," NBER Working Papers 26752, National Bureau of Economic Research, Inc.
    41. John-Paul Ferguson & Gianluca Carnabuci, 2017. "Risky Recombinations: Institutional Gatekeeping in the Innovation Process," Organization Science, INFORMS, vol. 28(1), pages 133-151, February.
    42. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
    43. Veugelers, Reinhilde & Wang, Jian, 2019. "Scientific novelty and technological impact," Research Policy, Elsevier, vol. 48(6), pages 1362-1372.
    44. Albert Banal-Estañol & Inés Macho-Stadler & David Pérez-Castrillo, 2019. "Funding Academic Research: Grant Application, Partnership, Award, and Output," Working Papers 1093, Barcelona Graduate School of Economics.
    45. Pierre Azoulay & Danielle Li, 2020. "Scientific Grant Funding," NBER Chapters, in: Innovation and Public Policy, National Bureau of Economic Research, Inc.
    46. Kyle Myers, 2020. "The Elasticity of Science," American Economic Journal: Applied Economics, American Economic Association, vol. 12(4), pages 103-134, October.
    47. Yann Bramoullé & Lorenzo Ductor, 2018. "Title length," Post-Print hal-01834038, HAL.
    48. Linus Dahlander & Henning Piezunka, 2020. "Why crowdsourcing fails," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-9, December.
    49. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
    50. Mignon Wuestman & Koen Frenken & Iris Wanzenböck, 2020. "A genealogical approach to academic success," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-16, December.
    51. Bornmann, Lutz & Tekles, Alexander & Zhang, Helena H. & Ye, Fred Y., 2019. "Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data," Journal of Informetrics, Elsevier, vol. 13(4).
    52. Byeongwoo Kang & Kazuyuki Motohashi, 2020. "Academic contribution to industrial innovation by funding type," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 169-193, July.
    53. Florenta Teodoridis, 2018. "Understanding Team Knowledge Production: The Interrelated Roles of Technology and Expertise," Management Science, INFORMS, vol. 64(8), pages 3625-3648, August.
    54. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.

  2. Ivo Blohm & Christoph Riedl & Johann Füller & Jan Marco Leimeister, 2016. "Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing," Information Systems Research, INFORMS, vol. 27(1), pages 27-48, March.

    Cited by:

    1. Samer Faraj & Georg von Krogh & Eric Monteiro & Karim R. Lakhani, 2016. "Special Section Introduction—Online Community as Space for Knowledge Flows," Information Systems Research, INFORMS, vol. 27(4), pages 668-684, December.
    2. Ho Cheung Brian Lee & Sulin Ba & Xinxin Li & Jan Stallaert, 2018. "Salience Bias in Crowdsourcing Contests," Information Systems Research, INFORMS, vol. 29(2), pages 401-418, June.
    3. Julia Troll & Ivo Blohm & Jan Marco Leimeister, 2019. "Why Incorporating a Platform-Intermediary can Increase Crowdsourcees’ Engagement," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 433-450, August.
    4. 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.
    5. Ho Cheung Brian Lee & Jan Stallaert & Ming Fan, 2020. "Anomalies in Probability Estimates for Event Forecasting on Prediction Markets," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2077-2095, September.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (1) 2012-04-23

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