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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/
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/
RePEc:edi:cbneuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Michael Foley & Rory Smead & Patrick Forber & Christoph Riedl, 2021. "Avoiding the bullies: The resilience of cooperation among unequals," Papers 2104.08636, arXiv.org.
  2. 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. Michael Foley & Rory Smead & Patrick Forber & Christoph Riedl, 2021. "Avoiding the bullies: The resilience of cooperation among unequals," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-18, April.
  2. Zachary Fulker & Patrick Forber & Rory Smead & Christoph Riedl, 2021. "Spite is contagious in dynamic networks," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  3. Balietti, Stefano & Riedl, Christoph, 2021. "Incentives, competition, and inequality in markets for creative production," Research Policy, Elsevier, vol. 50(4).
  4. Christoph Riedl & Young Ji Kim & Pranav Gupta & Thomas W. Malone & Anita Williams Woolley, 2021. "Quantifying collective intelligence in human groups," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(21), pages 2005737118-, May.
  5. Stefano Balietti & Brennan Klein & Christoph Riedl, 2021. "Optimal design of experiments to identify latent behavioral types," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 772-799, September.
  6. Christoph Riedl & Victor P. Seidel, 2018. "Learning from Mixed Signals in Online Innovation Communities," Organization Science, INFORMS, vol. 29(6), pages 1010-1032, December.
  7. 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.
  8. 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.
  9. 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.

Chapters

  1. Markus Böhm & Stefanie Leimeister & Christoph Riedl & Helmut Krcmar, 2011. "Cloud Computing – Outsourcing 2.0 or a new Business Model for IT Provisioning?," Springer Books, in: Frank Keuper & Christian Oecking & Andreas Degenhardt (ed.), Application Management, pages 31-56, Springer.

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. Balietti, Stefano & Riedl, Christoph, 2021. "Incentives, competition, and inequality in markets for creative production," Research Policy, Elsevier, vol. 50(4).

    Cited by:

    1. Bożena Gajdzik & Radosław Wolniak, 2022. "Smart Production Workers in Terms of Creativity and Innovation: The Implication for Open Innovation," JOItmC, MDPI, vol. 8(2), pages 1-32, April.

  2. Christoph Riedl & Young Ji Kim & Pranav Gupta & Thomas W. Malone & Anita Williams Woolley, 2021. "Quantifying collective intelligence in human groups," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(21), pages 2005737118-, May.

    Cited by:

    1. Wilhelm, Oliver & Kyllonen, Patrick, 2021. "To predict the future, consider the past: Revisiting Carroll (1993) as a guide to the future of intelligence research," Intelligence, Elsevier, vol. 89(C).

  3. Christoph Riedl & Victor P. Seidel, 2018. "Learning from Mixed Signals in Online Innovation Communities," Organization Science, INFORMS, vol. 29(6), pages 1010-1032, December.

    Cited by:

    1. Tommy Pan Fang & Andy Wu & David R. Clough, 2021. "Platform diffusion at temporary gatherings: Social coordination and ecosystem emergence," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 233-272, February.
    2. Ren, Jie & Han, Yue & Genc, Yegin & Yeoh, William & Popovič, Aleš, 2021. "The boundary of crowdsourcing in the domain of creativity✰," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    3. Smirnova, Inna & Reitzig, Markus & Alexy, Oliver, 2022. "What makes the right OSS contributor tick? Treatments to motivate high-skilled developers," Research Policy, Elsevier, vol. 51(1).
    4. Wachs, Johannes & Nitecki, Mariusz & Schueller, William & Polleres, Axel, 2022. "The Geography of Open Source Software: Evidence from GitHub," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

  4. 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. Michele Pezzoni & Reinhilde Veugelers & Fabiana Visentin, 2022. "How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions," Post-Print hal-03494455, HAL.
    3. Nicolas Carayol, 2018. "The Right Job and the Job Right: Novelty, Impact and Journal Stratification in Science," Post-Print hal-02274559, HAL.
    4. 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.
    5. 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.
    6. Sotaro Shibayama & Jian Wang, 2020. "Measuring originality in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 409-427, January.
    7. Sotaro Shibayama & Deyun Yin & Kuniko Matsumoto, 2021. "Measuring novelty in science with word embedding," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
    8. 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.
    9. Elise S. Brezis & Aliaksandr Birukou, 2020. "Arbitrariness in the peer review process," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 393-411, April.
    10. Albert Banal-Estañol & Qianshuo Liu & Inés Macho-Stadler & Pérez-Castrillo, 2021. "Similar-to-me effects in the grant application process: Applicants, panelists, and the likelihood of obtaining funds," Economics Working Papers 1801, Department of Economics and Business, Universitat Pompeu Fabra.
    11. 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).
    12. 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).
    13. Mikko Packalen, 2019. "Edge factors: scientific frontier positions of nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 787-808, March.
    14. 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.
    15. 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).
    16. 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.
    17. Chai, Sen & Menon, Anoop, 2019. "Breakthrough recognition: Bias against novelty and competition for attention," Research Policy, Elsevier, vol. 48(3), pages 733-747.
    18. 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.
    19. Jürgen Janger & Nicole Schmidt & Anna Strauss, 2019. "International Differences in Basic Research Grant Funding. A Systematic Comparison," WIFO Studies, WIFO, number 61664, May.
    20. Andries, Petra & Clarysse, Bart & Costa, Sergio, 2021. "Technology ventures' engagement of external actors in the search for viable market applications: On the relevance of Technology Broadcasting and Systematic Validation," Journal of Business Venturing, Elsevier, vol. 36(6).
    21. Mikko Packalen & Jay Bhattacharya, 2015. "Neophilia Ranking of Scientific Journals," NBER Working Papers 21579, National Bureau of Economic Research, Inc.
    22. Wachs, Johannes & Vedres, Balázs, 2021. "Does crowdfunding really foster innovation? Evidence from the board game industry," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    23. KWON Seokbeom & MOTOHASHI Kazuyuki & IKEUCHI Kenta, 2021. "Chasing Two Hares at Once? Effect of Joint Institutional Change for Promoting Commercial Use of University Knowledge and Scientific Research," Discussion papers 21026, Research Institute of Economy, Trade and Industry (RIETI).
    24. 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.
    25. Karol Flores-Szwagrzak & Rafael Treibich, 2020. "Teamwork and Individual Productivity," Management Science, INFORMS, vol. 66(6), pages 2523-2544, June.
    26. 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.
    27. Miguel Navascués & Costantino Budroni, 2019. "Theoretical research without projects," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-35, March.
    28. 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.
    29. Chiara Franzoni & Paula Stephan & Reinhilde Veugelers, 2021. "Funding Risky Research," NBER Chapters, in: Entrepreneurship and Innovation Policy and the Economy, volume 1, National Bureau of Economic Research, Inc.
    30. 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.
    31. Marco Ottaviani, 2020. "Grantmaking," Working Papers 672, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    32. 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.
    33. Albert Bravo-Biosca, 2019. "Experimental Innovation Policy," NBER Working Papers 26273, National Bureau of Economic Research, Inc.
    34. 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.
    35. Christian Catalini & Christian Fons-Rosen & Patrick Gaulé, 2020. "How Do Travel Costs Shape Collaboration?," Management Science, INFORMS, vol. 66(8), pages 3340-3360, August.
    36. 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.
    37. Hasan, Sharique & Koning, Rembrand, 2019. "Conversations and idea generation: Evidence from a field experiment," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    38. 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.
    39. 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.
    40. Pierre Azoulay & Danielle Li, 2020. "Scientific Grant Funding," NBER Working Papers 26889, National Bureau of Economic Research, Inc.
    41. 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.
    42. Denise Falchetti & Gino Cattani & Simone Ferriani, 2022. "Start with “Why,” but only if you have to: The strategic framing of novel ideas across different audiences," Strategic Management Journal, Wiley Blackwell, vol. 43(1), pages 130-159, January.
    43. 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.
    44. 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.
    45. Michaël Bikard, 2020. "Idea twins: Simultaneous discoveries as a research tool," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1528-1543, August.
    46. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    47. Aurélie Hemonnet-Goujot & Delphine Manceau & Celine Abecassis-Moedas, 2019. "Drivers and Pathways of NPD Success in the Marketing-External Design Relationship," Post-Print hal-01883760, HAL.
    48. 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.
    49. Jay Bhattacharya & Mikko Packalen, 2020. "Stagnation and Scientific Incentives," NBER Working Papers 26752, National Bureau of Economic Research, Inc.
    50. John-Paul Ferguson & Gianluca Carnabuci, 2017. "Risky Recombinations: Institutional Gatekeeping in the Innovation Process," Organization Science, INFORMS, vol. 28(1), pages 133-151, February.
    51. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
    52. Chengwei Liu, 2021. "In luck we trust: Capturing the diversity bonus through random selection," Journal of Organization Design, Springer;Organizational Design Community, vol. 10(2), pages 85-91, June.
    53. Veugelers, Reinhilde & Wang, Jian, 2019. "Scientific novelty and technological impact," Research Policy, Elsevier, vol. 48(6), pages 1362-1372.
    54. 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.
    55. Pierre Azoulay & Danielle Li, 2020. "Scientific Grant Funding," NBER Chapters, in: Innovation and Public Policy, National Bureau of Economic Research, Inc.
    56. Kyle Myers, 2020. "The Elasticity of Science," American Economic Journal: Applied Economics, American Economic Association, vol. 12(4), pages 103-134, October.
    57. Elhorst, Paul & Faems, Dries, 2021. "Evaluating proposals in innovation contests: Exploring negative scoring spillovers in the absence of a strict evaluation sequence," Research Policy, Elsevier, vol. 50(4).
    58. Yann Bramoullé & Lorenzo Ductor, 2018. "Title length," Post-Print hal-01834038, HAL.
    59. Keyvan Vakili & Sarah Kaplan, 2021. "Organizing for innovation: A contingency view on innovative team configuration," Strategic Management Journal, Wiley Blackwell, vol. 42(6), pages 1159-1183, June.
    60. Linus Dahlander & Henning Piezunka, 2020. "Why crowdsourcing fails," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-9, December.
    61. 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.
    62. Matthew P. Mount & Markus Baer & Matthew J. Lupoli, 2021. "Quantum leaps or baby steps? Expertise distance, construal level, and the propensity to invest in novel technological ideas," Strategic Management Journal, Wiley Blackwell, vol. 42(8), pages 1490-1515, August.
    63. Zhu, Kejia & Malhotra, Shavin & Li, Yaohan, 2022. "Technological diversity of patent applications and decision pendency," Research Policy, Elsevier, vol. 51(1).
    64. 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.
    65. Hannes W. Lampe & Jan Reerink, 2021. "Know your audience: how language complexity affects impact in entrepreneurship science," Journal of Business Economics, Springer, vol. 91(7), pages 1025-1061, September.
    66. 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).
    67. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
    68. Byeongwoo Kang & Kazuyuki Motohashi, 2020. "Academic contribution to industrial innovation by funding type," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 169-193, July.
    69. Florenta Teodoridis, 2018. "Understanding Team Knowledge Production: The Interrelated Roles of Technology and Expertise," Management Science, INFORMS, vol. 64(8), pages 3625-3648, August.
    70. Jacqueline N. Lane & Ina Ganguli & Patrick Gaule & Eva Guinan & Karim R. Lakhani, 2021. "Engineering serendipity: When does knowledge sharing lead to knowledge production?," Strategic Management Journal, Wiley Blackwell, vol. 42(6), pages 1215-1244, June.
    71. 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.
    72. Yinyu Jin & Sha Yuan & Zhou Shao & Wendy Hall & Jie Tang, 2021. "Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2329-2348, March.

  5. 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.

Chapters

  1. Markus Böhm & Stefanie Leimeister & Christoph Riedl & Helmut Krcmar, 2011. "Cloud Computing – Outsourcing 2.0 or a new Business Model for IT Provisioning?," Springer Books, in: Frank Keuper & Christian Oecking & Andreas Degenhardt (ed.), Application Management, pages 31-56, Springer.

    Cited by:

    1. Hsu, Pei-Fang & Ray, Soumya & Li-Hsieh, Yu-Yu, 2014. "Examining cloud computing adoption intention, pricing mechanism, and deployment model," International Journal of Information Management, Elsevier, vol. 34(4), pages 474-488.

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 2 papers 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-CDM: Collective Decision-Making (1) 2021-04-26
  2. NEP-EXP: Experimental Economics (1) 2012-04-23
  3. NEP-GTH: Game Theory (1) 2021-04-26
  4. NEP-NET: Network Economics (1) 2021-04-26

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