IDEAS home Printed from https://ideas.repec.org/r/spr/infosf/v16y2014i3d10.1007_s10796-012-9350-4.html
   My bibliography  Save this item

Evaluation on crowdsourcing research: Current status and future direction

Citations

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


Cited by:

  1. Nguyen Hoang Thuan & Pedro Antunes & David Johnstone, 2016. "Factors influencing the decision to crowdsource: A systematic literature review," Information Systems Frontiers, Springer, vol. 18(1), pages 47-68, February.
  2. Nguyen Hoang Thuan & Pedro Antunes & David Johnstone, 2018. "A Decision Tool for Business Process Crowdsourcing: Ontology, Design, and Evaluation," Group Decision and Negotiation, Springer, vol. 27(2), pages 285-312, April.
  3. M. Pelacho & G. Ruiz & F. Sanz & A. Tarancón & J. Clemente-Gallardo, 2021. "Analysis of the evolution and collaboration networks of citizen science scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 225-257, January.
  4. Schenk, Eric & Guittard, Claude & Pénin, Julien, 2019. "Open or proprietary? Choosing the right crowdsourcing platform for innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 303-310.
  5. Marta Poblet & Esteban García-Cuesta & Pompeu Casanovas, 0. "Crowdsourcing roles, methods and tools for data-intensive disaster management," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
  6. Livio Cricelli & Michele Grimaldi & Silvia Vermicelli, 2022. "Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda," Review of Managerial Science, Springer, vol. 16(5), pages 1269-1310, July.
  7. Xiaofan Li & Andrew B. Whinston, 2020. "Analyzing Cryptocurrencies," Information Systems Frontiers, Springer, vol. 22(1), pages 17-22, February.
  8. Yong Sun & Wenan Tan, 2020. "Combining Spatial Optimization and Multi-Agent Temporal Difference Learning for Task Assignment in Uncertain Crowdsourcing," Information Systems Frontiers, Springer, vol. 22(6), pages 1447-1465, December.
  9. Yiwei Gong, 0. "Estimating participants for knowledge-intensive tasks in a network of crowdsourcing marketplaces," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
  10. Silvia Blasi & Silvia Rita Sedita, 2018. "Leveraging the power of creative crowds for innovative brands: the eYeka crowdsourcing initiatives," "Marco Fanno" Working Papers 0228, Dipartimento di Scienze Economiche "Marco Fanno".
  11. Yong Sun & Wenan Tan, 0. "Combining Spatial Optimization and Multi-Agent Temporal Difference Learning for Task Assignment in Uncertain Crowdsourcing," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
  12. Roman Lukyanenko & Andrea Wiggins & Holly K. Rosser, 0. "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
  13. Regina Lenart-Gansiniec, 2018. "Methodological Challenges of Research on Crowdsourcing," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 4(4), pages 107-126.
  14. Regina Lenart-Gansiniec, 2017. "Factors Influencing Decisions about Crowdsourcing in the Public Sector: A Literature Review," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 1997-2005.
  15. Yiwei Gong, 2017. "Estimating participants for knowledge-intensive tasks in a network of crowdsourcing marketplaces," Information Systems Frontiers, Springer, vol. 19(2), pages 301-319, April.
  16. Thomas Forss & Peter Sarlin, 2017. "News-sentiment networks as a risk indicator," Papers 1706.05812, arXiv.org, revised May 2018.
  17. Cayetano Medina-Molina & Manuel Rey-Moreno & J. Augusto Felício & Inmaculada Romano Paguillo, 2019. "Participation in crowdfunding among users of collaborative platforms: the role of innovativeness and social capital," Review of Managerial Science, Springer, vol. 13(3), pages 529-543, June.
  18. Guohao Wang & Liying Yu, 2020. "Analysis of Enterprise Sustainable Crowdsourcing Incentive Mechanism Based on Principal-Agent Model," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
  19. Naudé, Wim & Bray, Amy & Lee, Celina, 2021. "Crowdsourcing Artificial Intelligence in Africa: Findings from a Machine Learning Contest," IZA Discussion Papers 14545, Institute of Labor Economics (IZA).
  20. Xu, Hui & Wu, Yang & Hamari, Juho, 2022. "What determines the successfulness of a crowdsourcing campaign: A study on the relationships between indicators of trustworthiness, popularity, and success," Journal of Business Research, Elsevier, vol. 139(C), pages 484-495.
  21. 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.
  22. Prpić, John, 2017. "MOOCs and Crowdsourcing: Massive Courses and Massive Resources," SocArXiv uwess, Center for Open Science.
  23. Yin, Xicheng & Wang, Hongwei & Wang, Wei & Zhu, Kevin, 2020. "Task recommendation in crowdsourcing systems: A bibliometric analysis," Technology in Society, Elsevier, vol. 63(C).
  24. Nikolaus Lipusch & Dominik Dellermann & Ulrich Bretschneider & Philipp Ebel & Jan Marco Leimeister, 2020. "Designing for Crowdfunding Co-creation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 483-499, December.
  25. Carbajo, Ruth & Cabeza, Luisa F., 2019. "Sustainability and social justice dimension indicators for applied renewable energy research: A responsible approach proposal," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  26. Xuefeng Zhang & Bengang Gong & Yaqin Cao & Yi Ding & Jiafu Su, 2022. "Investigating participants’ attributes for participant estimation in knowledge-intensive crowdsourcing: a fuzzy DEMATEL based approach," Electronic Commerce Research, Springer, vol. 22(3), pages 811-842, September.
  27. Anna Adamik & Michał Nowicki & Andrius Puksas, 2022. "Energy Oriented Concepts and Other SMART WORLD Trends as Game Changers of Co-Production—Reality or Future?," Energies, MDPI, vol. 15(11), pages 1-38, June.
  28. Evangelos Mourelatos & Manolis Tzagarakis, 2018. "An investigation of factors affecting the visits of online crowdsourcing and labor platforms," Netnomics, Springer, vol. 19(3), pages 95-130, December.
  29. Zhanwen Shi & Erbao Cao & Kai Nie, 2023. "Capacity pooling games in crowdsourcing services," Electronic Commerce Research, Springer, vol. 23(2), pages 1007-1047, June.
  30. 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).
  31. Till Blesik & Markus Bick & Tyge-F. Kummer, 2022. "A Conceptualisation of Crowd Knowledge," Information Systems Frontiers, Springer, vol. 24(5), pages 1647-1665, October.
  32. Tuba Bakici, 2020. "Comparison of crowdsourcing platforms from social-psychological and motivational perspectives," Post-Print hal-02966992, HAL.
  33. Carbajo, Ruth & Cabeza, Luisa F., 2018. "Renewable energy research and technologies through responsible research and innovation looking glass: Reflexions, theoretical approaches and contemporary discourses," Applied Energy, Elsevier, vol. 211(C), pages 792-808.
  34. Barbosu, Sandra & Gans, Joshua S., 2022. "Storm crowds: Evidence from Zooniverse on crowd contribution design," Research Policy, Elsevier, vol. 51(1).
  35. Xuanwei Zhao & Enjun Xia, 2016. "Research On The Operation Mechanism Of Network Crowdsourcing System And Constitutions Of Crowdsourcing Capability," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-18, October.
  36. Dan Li & Longying Hu, 2017. "Exploring the effects of reward and competition intensity on participation in crowdsourcing contests," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 199-210, August.
  37. Regina Lenart-Gansiniec, 2017. "Virtual Knowledge Sharing in Crowdsourcing: Measurement Dilemmas," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 13(3), pages 95-123.
  38. Henner Gimpel & Vanessa Graf-Seyfried & Robert Laubacher & Oliver Meindl, 2023. "Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing," Group Decision and Negotiation, Springer, vol. 32(1), pages 75-124, February.
  39. Xiaoyan Wang & Xi Lin & Meng Li, 2021. "Aggregate Modeling and Equilibrium Analysis of the Crowdsourcing Market for Autonomous Vehicles," Papers 2102.07147, arXiv.org.
  40. Sultana Lubna Alam & John Campbell, 2017. "Temporal Motivations of Volunteers to Participate in Cultural Crowdsourcing Work," Information Systems Research, INFORMS, vol. 28(4), pages 744-759, December.
  41. Debra Howcroft & Birgitta Bergvall-KÃ¥reborn, 2019. "A Typology of Crowdwork Platforms," Work, Employment & Society, British Sociological Association, vol. 33(1), pages 21-38, February.
  42. Segev, Ella, 2020. "Crowdsourcing contests," European Journal of Operational Research, Elsevier, vol. 281(2), pages 241-255.
  43. Marta Poblet & Esteban García-Cuesta & Pompeu Casanovas, 2018. "Crowdsourcing roles, methods and tools for data-intensive disaster management," Information Systems Frontiers, Springer, vol. 20(6), pages 1363-1379, December.
  44. Shan Du & Hua Li, 2019. "The Knowledge Mapping of Mobile Commerce Research: A Visual Analysis Based on I-Model," Sustainability, MDPI, vol. 11(6), pages 1-26, March.
  45. Ayomikun Idowu & Amany Elbanna, 2022. "Digital Platforms of Work and the Crafting of Career Path: The Crowdworkers’ Perspective," Information Systems Frontiers, Springer, vol. 24(2), pages 441-457, April.
  46. Olivera Marjanovic & Vijaya Murthy, 2022. "The Emerging Liquid IT Workforce: Theorizing Their Personal Competitive Advantage," Information Systems Frontiers, Springer, vol. 24(6), pages 1775-1793, December.
  47. Heidrun Zeug & Gunter Zeug & Conrad Bielski & Gloria Solano-Hermosilla & Robert M’barek, 2017. "Innovative Food Price Collection in Developing Countries. Focus on Crowdsourcing in Africa," JRC Research Reports JRC103294, Joint Research Centre.
  48. Lee, Jung & Seo, DongBack, 2016. "Crowdsourcing not all sourced by the crowd: An observation on the behavior of Wikipedia participants," Technovation, Elsevier, vol. 55, pages 14-21.
  49. Bal, Anjali S. & Weidner, Kelly & Hanna, Richard & Mills, Adam J., 2017. "Crowdsourcing and brand control," Business Horizons, Elsevier, vol. 60(2), pages 219-228.
  50. Roman Lukyanenko & Andrea Wiggins & Holly K. Rosser, 2020. "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, Springer, vol. 22(4), pages 961-983, August.
  51. Ted Y. T. Suen & Simon K. S. Cheung & Fu Lee Wang & John Y. K. Hui, 2022. "Effects of Intrinsic and Extrinsic Motivational Factors on Employee Participation in Internal Crowdsourcing Initiatives in China," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.