IDEAS home Printed from https://ideas.repec.org/r/plo/pone00/0057410.html
   My bibliography  Save this item

Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research

Citations

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


Cited by:

  1. Goff, Sandra H., 2021. "A test of willingness to pay as penance in the demand for ethical consumption," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
  2. Van Borm, Hannah & Burn, Ian & Baert, Stijn, 2021. "What Does a Job Candidate's Age Signal to Employers?," Labour Economics, Elsevier, vol. 71(C).
  3. Kate Farrow & Gilles Grolleau & Lisette Ibanez, 2017. "Designing more effective norm interventions: the role of valence," Post-Print hal-01680539, HAL.
  4. Zhongming Lu & John Crittenden & Frank Southworth & Ellen Dunham-Jones, 2017. "An integrated framework for managing the complex interdependence between infrastructures and the socioeconomic environment: An application in metropolitan Atlanta," Urban Studies, Urban Studies Journal Limited, vol. 54(12), pages 2874-2893, September.
  5. CLAIRE A. SIMMERS & ADELA J. McMURRAY, 2019. "Organisational Justice And Managing Workplace Innovation: How Important Are Formal Procedures?," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(03), pages 1-21, April.
  6. Brink, William & Kuang, Xi (Jason) & Majerczyk, Michael, 2021. "The effects of minimum-wage increases on wage offers, wage premiums and employee effort under incomplete contracts," Accounting, Organizations and Society, Elsevier, vol. 89(C).
  7. Ronayne, David & Sgroi, Daniel & Tuckwell, Anthony, 2021. "Evaluating the sunk cost effect," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 318-327.
  8. Jonathan Robinson & Cheskie Rosenzweig & Aaron J Moss & Leib Litman, 2019. "Tapped out or barely tapped? Recommendations for how to harness the vast and largely unused potential of the Mechanical Turk participant pool," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-29, December.
  9. Yoshimasa Majima, 2017. "The Feasibility of a Japanese Crowdsourcing Service for Experimental Research in Psychology," SAGE Open, , vol. 7(1), pages 21582440176, March.
  10. Joseph A. Johnson & Jochen Theis & Adam Vitalis & Donald Young, 2020. "The Influence of Firms' Emissions Management Strategy Disclosures on Investors' Valuation Judgments†," Contemporary Accounting Research, John Wiley & Sons, vol. 37(2), pages 642-664, June.
  11. Dato, Simon & Feess, Eberhard & Nieken, Petra, 2019. "Lying and reciprocity," Games and Economic Behavior, Elsevier, vol. 118(C), pages 193-218.
  12. Rene Schwaiger & Laura Hueber, 2021. "Do MTurkers Exhibit Myopic Loss Aversion?," Working Papers 2021-12, Faculty of Economics and Statistics, Universität Innsbruck.
  13. Gandullia, Luca & Lezzi, Emanuela & Parciasepe, Paolo, 2020. "Replication with MTurk of the experimental design by Gangadharan, Grossman, Jones & Leister (2018): Charitable giving across donor types," Journal of Economic Psychology, Elsevier, vol. 78(C).
  14. Miloslava Plachkinova & Philip Menard, 2022. "An Examination of Gain- and Loss-Framed Messaging on Smart Home Security Training Programs," Information Systems Frontiers, Springer, vol. 24(5), pages 1395-1416, October.
  15. Shalini Sarin Jain & Shailendra Pratap Jain & Yexin Jessica Li, 2023. "Sustaining Livelihoods or Saving Lives? Economic System Justification in the Time of COVID-19," Journal of Business Ethics, Springer, vol. 183(1), pages 71-104, February.
  16. Viglia, Giampaolo & Dolnicar, Sara, 2020. "A review of experiments in tourism and hospitality," Annals of Tourism Research, Elsevier, vol. 80(C).
  17. Kirsten Hillebrand & Lars Hornuf, 2021. "The Social Dilemma of Big Data: Donating Personal Data to Promote Social Welfare," CESifo Working Paper Series 8926, CESifo.
  18. Marilyn Giroux & Jungkeun Kim & Jacob C. Lee & Jongwon Park, 2022. "Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI," Journal of Business Ethics, Springer, vol. 178(4), pages 1027-1041, July.
  19. Cristóbal De La Maza & Alex Davis & Cleotilde Gonzalez & Inês Azevedo, 2019. "Understanding Cumulative Risk Perception from Judgments and Choices: An Application to Flood Risks," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 488-504, February.
  20. Tifferet, Sigal, 2021. "Verifying online information: Development and validation of a self-report scale," Technology in Society, Elsevier, vol. 67(C).
  21. Matthew Staffelbach & Peter Sempolinski & Tracy Kijewski-Correa & Douglas Thain & Daniel Wei & Ahsan Kareem & Gregory Madey, 2015. "Lessons Learned from Crowdsourcing Complex Engineering Tasks," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-19, September.
  22. Nathan W. Chan & Stephen Knowles & Ronald Peeters & Leonard Wolk, 2024. "Cost-(in)effective public good provision: an experimental exploration," Theory and Decision, Springer, vol. 96(3), pages 397-442, May.
  23. Margaret Cusack & Nadya Vezenkova & Christopher Gottschalk & Robert J Calin-Jageman, 2015. "Direct and Conceptual Replications of Burgmer & Englich (2012): Power May Have Little to No Effect on Motor Performance," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-22, November.
  24. Elizabeth Blankespoor & Bradley E. Hendricks & Gregory S. Miller, 2017. "Perceptions and Price: Evidence from CEO Presentations at IPO Roadshows," Journal of Accounting Research, Wiley Blackwell, vol. 55(2), pages 275-327, May.
  25. Jochen Theis & Marvin Nipper & Marco Meier, 2024. "The influence of corporate philanthropic donations on private investors' valuation judgments: Experimental evidence," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 540-554, January.
  26. Schönegger, Philipp & Verheyen, Steven, 2022. "Taking A Closer Look At The Bayesian Truth Serum: A Registered Report (Stage 2 Registered Report)," OSF Preprints 9zvqj, Center for Open Science.
  27. Uri Hertz & Bahador Bahrami & Mehdi Keramati, 2018. "Stochastic satisficing account of confidence in uncertain value-based decisions," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-23, April.
  28. Palan, Stefan & Schitter, Christian, 2018. "Prolific.ac—A subject pool for online experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 22-27.
  29. Das, Gopal & Spence, Mark T. & Agarwal, James, 2021. "Social selling cues: The dynamics of posting numbers viewed and bought on customers' purchase intentions," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 994-1016.
  30. Emanuele Castano, 2021. "Art films foster theory of mind," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
  31. Fabrizio Ciotti & Lars Hornuf & Eliza Stenzhorn, 2021. "Lock-In Effects in Online Labor Markets," CESifo Working Paper Series 9379, CESifo.
  32. Fu, Yingzhu & Tietz, Matthias A. & Delmar, Frédéric, 2022. "Obsessive passion and the venture team: When co-founders join, and when they don't," Journal of Business Venturing, Elsevier, vol. 37(4).
  33. Johannes G. Jaspersen & Marc A. Ragin & Justin R. Sydnor, 2022. "Insurance demand experiments: Comparing crowdworking to the lab," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 1077-1107, December.
  34. Yulin Hswen & Ulrich Nguemdjo & Elad Yom-Tov & Gregory M Marcus & Bruno Ventelou, 2022. "Individuals’ willingness to provide geospatial global positioning system (GPS) data from their smartphone during the COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
  35. Irene Maria Buso & Daniela Di Cagno & Sofia De Caprariis & Lorenzo Ferrari & Vittorio Larocca & Francesca Marazzi & Luca Panaccione & Lorenzo Spadoni, 2020. "The Show Must Go On: How to Elicit Lablike Data on the Effects of COVID-19 Lockdown on Fairness and Cooperation," Working Papers CESARE 2/2020, Dipartimento di Economia e Finanza, LUISS Guido Carli.
  36. Burdea, Valeria & Woon, Jonathan, 2022. "Online belief elicitation methods," Journal of Economic Psychology, Elsevier, vol. 90(C).
  37. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
  38. Milton Mayfield & Jacqueline Mayfield, 2021. "Sound and Safe: The Role of Leader Motivating Language and Follower Self-Leadership in Feelings of Psychological Safety," Administrative Sciences, MDPI, vol. 11(2), pages 1-30, May.
  39. Jasper Dezwaef & Emiel Cracco & Jelle Demanet & Timothy Desmet & Marcel Brass, 2019. "Beyond asking: Exploring the use of automatic price evaluations to implicitly estimate consumers’ willingness-to-pay," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-16, July.
  40. Henkens, Bieke & Verleye, Katrien & Larivière, Bart, 2021. "The smarter, the better?! Customer well-being, engagement, and perceptions in smart service systems," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 425-447.
  41. Schöller, Vanessa & Ulmer, Clara, 2023. "Can monetized carbon information increase pro-environmental behavior? Experimental evidence," Ecological Economics, Elsevier, vol. 206(C).
  42. Eriksen, Kristoffer W. & Fest, Sebastian & Kvaløy, Ola & Dijk, Oege, 2022. "Fair advice," Journal of Banking & Finance, Elsevier, vol. 143(C).
  43. Schwaiger, Rene & Hueber, Laura, 2021. "Do MTurkers exhibit myopic loss aversion?," Economics Letters, Elsevier, vol. 209(C).
  44. Irene Maria Buso & Daniela Di Cagno & Lorenzo Ferrari & Vittorio Larocca & Luisa Lorè & Francesca Marazzi & Luca Panaccione & Lorenzo Spadoni, 2021. "Lab-like findings from online experiments," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 184-193, December.
  45. Nicolas L. Bottan & Ricardo Perez-Truglia, 2020. "Betting on the House: Subjective Expectations and Market Choices," NBER Working Papers 27412, National Bureau of Economic Research, Inc.
  46. Sebastian Fest & Ola Kvaløy & Petra Nieken & Anja Schöttner, 2019. "Motivation and incentives in an online labor market," CESifo Working Paper Series 7526, CESifo.
  47. Jonathan B Lim & Daniel M Oppenheimer, 2020. "Explanatory preferences for complexity matching," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-19, April.
  48. Irene Maria Buso & Daniela Di Cagno & Sofia De Caprariis & Lorenzo Ferrari & Vittorio Larocca & Luisa Lorè & Francesca Marazzi & Luca Panaccione & Lorenzo Spadoni, 2020. "Lab-like Findings of Non-Lab Experiments: a Methodological Proposal and Validation," Working Papers CESARE 3/2020, Dipartimento di Economia e Finanza, LUISS Guido Carli.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.