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Reputation Transferability in Online Labor Markets

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Cited by:

  1. Pajarinen, Mika & Rouvinen, Petri & Claussen, Jörg & Hakanen, Jari & Kovalainen, Anne & Kretschmer, Tobias & Poutanen, Seppo & Seifried, Mareike & Seppänen, Laura, 2018. "Upworkers in Finland: Survey Results," ETLA Reports 85, The Research Institute of the Finnish Economy.
  2. Timm Teubner & Florian Hawlitschek & Marc T. P. Adam, 2019. "Reputation Transfer," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(2), pages 229-235, April.
  3. Li, Zhipeng & Zhou, Xiaoyu & Huang, Shoujun, 2021. "Managing skill certification in online outsourcing platforms: A perspective of buyer-determined reverse auctions," International Journal of Production Economics, Elsevier, vol. 238(C).
  4. Wenlong Liu & Changqing He & Yi Jiang & Rongrong Ji & Xuesong Zhai, 2020. "Effect of Gig Workers’ Psychological Contract Fulfillment on Their Task Performance in a Sharing Economy—A Perspective from the Mediation of Organizational Identification and the Moderation of Length ," IJERPH, MDPI, vol. 17(7), pages 1-20, March.
  5. Marios Kokkodis & Theodoros Lappas, 2020. "Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms," Information Systems Research, INFORMS, vol. 31(2), pages 412-430, June.
  6. Maik Hesse & Timm Teubner, 2020. "Reputation portability – quo vadis?," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 331-349, June.
  7. Piazza, Mariangela & Mazzola, Erica & Perrone, Giovanni, 2022. "How can I signal my quality to emerge from the crowd? A study in the crowdsourcing context," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  8. Maik Hesse & Timm Teubner & Marc T. P. Adam, 2022. "In Stars We Trust – A Note on Reputation Portability Between Digital Platforms," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 349-358, June.
  9. Marios Kokkodis & Theodoros Lappas & Gerald C. Kane, 2022. "Optional purchase verification in e‐commerce platforms: More representative product ratings and higher quality reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2943-2961, July.
  10. Claussen, Jörg & Kretschmer, Tobias & Khashabi, Pooyan & Seifried, Mareike, 2020. "Two to tango? Psychological contract breach in online labor markets," ZEW Discussion Papers 20-078, ZEW - Leibniz Centre for European Economic Research.
  11. Fabrizio Ciotti & Lars Hornuf & Eliza Stenzhorn, 2021. "Lock-In Effects in Online Labor Markets," CESifo Working Paper Series 9379, CESifo.
  12. Seifried, Mareike, 2021. "Transitions from offline to online labor markets: The relationship between freelancers' prior offline and online work experience," ZEW Discussion Papers 21-101, ZEW - Leibniz Centre for European Economic Research.
  13. Herrmann, Andrea M. & Zaal, Petra M. & Chappin, Maryse M.H. & Schemmann, Brita & Lühmann, Amelie, 2023. "“We don't need no (higher) education” - How the gig economy challenges the education-income paradigm," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
  14. Kazakova, E. & Sandomirskaia, M. & Suvorov, A. & Khazhgerieva, A. & Shavshin, R., 2023. "Platforms, online labor markets, and crowdsourcing. Part 1. Traditional online labor market," Journal of the New Economic Association, New Economic Association, vol. 60(3), pages 120-148.
  15. Marios Kokkodis, 2021. "Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work," Information Systems Research, INFORMS, vol. 32(3), pages 688-712, September.
  16. Martin Lukac & André Grow, 2021. "Reputation systems and recruitment in online labor markets: insights from an agent-based model," Journal of Computational Social Science, Springer, vol. 4(1), pages 207-229, May.
  17. Marios Kokkodis, 2023. "Adjusting Skillset Cohesion in Online Labor Markets: Reputation Gains and Opportunity Losses," Information Systems Research, INFORMS, vol. 34(3), pages 1245-1258, September.
  18. Rense Corten & Judith Kas & Timm Teubner & Martijn Arets, 2023. "The role of contextual and contentual signals for online trust: Evidence from a crowd work experiment," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
  19. Emaad Manzoor & George H. Chen & Dokyun Lee & Michael D. Smith, 2020. "Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online," Papers 2006.00707, arXiv.org.
  20. Swanand J. Deodhar & Samrat Gupta, 2023. "The Impact of Social Reputation Features in Innovation Tournaments: Evidence from a Natural Experiment," Information Systems Research, INFORMS, vol. 34(1), pages 178-193, March.
  21. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
  22. Francesca Bellesia & Elisa Mattarelli & Fabiola Bertolotti, 2023. "Algorithms and their Affordances: How Crowdworkers Manage Algorithmic Scores in Online Labour Markets," Journal of Management Studies, Wiley Blackwell, vol. 60(1), pages 1-37, January.
  23. Lukac, Martin & Grow, André, 2020. "Reputation systems and recruitment in online labor markets: insights from an agent-based model," LSE Research Online Documents on Economics 114454, London School of Economics and Political Science, LSE Library.
  24. Marios Kokkodis & Theodoros Lappas & Sam Ransbotham, 2020. "From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare," Information Systems Research, INFORMS, vol. 31(2), pages 607-626, June.
  25. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
  26. Vranka, Marek & Hudík, Marek & Frollová, Nikola & Bahník, Štěpán & Sýkorová, Markéta & Houdek, Petr, 2021. "Honesty of online workers: A field experiment shows no evidence of self-selection of cheaters to a cheating-enabling work environment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
  27. Isamar Troncoso & Lan Luo, 2023. "Look the Part? The Role of Profile Pictures in Online Labor Markets," Marketing Science, INFORMS, vol. 42(6), pages 1080-1100, November.
  28. Jiaying Deng & Hossein Ghasemkhani & Yong Tan & Arvind K Tripathi, 2023. "Actions speak louder than words: Imputing users’ reputation from transaction history," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1096-1111, April.
  29. Timm Teubner & Marc T. P. Adam & Florian Hawlitschek, 2020. "Unlocking Online Reputation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 501-513, December.
  30. Marios Kokkodis & Sam Ransbotham, 2023. "Learning to Successfully Hire in Online Labor Markets," Management Science, INFORMS, vol. 69(3), pages 1597-1614, March.
  31. Mourelatos, Evangelos, 2021. "Personality and Ethics on Online Labor Markets: How mood influences ethical perceptions," EconStor Preprints 244735, ZBW - Leibniz Information Centre for Economics.
  32. Mueller-Langer, Frank & Gómez-Herrera, Estrella, 2022. "Mobility restrictions and the substitution between on-site and remote work: Empirical evidence from a European online labour market," Information Economics and Policy, Elsevier, vol. 58(C).
  33. Marios Kokkodis & Panagiotis G. Ipeirotis, 2021. "Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach," Management Science, INFORMS, vol. 67(7), pages 4362-4383, July.
  34. Jason Chan & Jing Wang, 2018. "Hiring Preferences in Online Labor Markets: Evidence of a Female Hiring Bias," Management Science, INFORMS, vol. 64(7), pages 2973-2994, July.
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