The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach

Authors

Dissanayake, Indika

Nerur, Sridhar P

Lukyanenko, Roman

Modaresnezhad, Minoo

Published

January 1, 2025

Doi

https://doi.org/10.1016/J.IM.2025.104098

Citation: APA

Dissanayake, I., Nerur, S. P., Lukyanenko, R., & Modaresnezhad, M. (2025). The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach. Information & Management, 62(2), 104098. https://doi.org/10.1016/J.IM.2025.104098.

Citation: BibTeX

@article{DissanayakeNerurLukyanenkoEtAl2025,
  file       = {data/pdfs/62_2/The-state-of-the-art-of-crowdsourcing-systems--A-computation_2025_Informatio.pdf},
  doi        = {10.1016/J.IM.2025.104098},
  author     = {Dissanayake, Indika and Nerur, Sridhar P and Lukyanenko, Roman and Modaresnezhad, Minoo},
  journal    = {Information & Management},
  title      = {The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach},
  year       = {2025},
  volume     = {62},
  number     = {2},
  pages      = {104098},
  url        = {https://www.doi.org/10.1016/J.IM.2025.104098}
}

Citation: RIS

TY  - JOUR
AU  - Dissanayake, Indika
AU  - Nerur, Sridhar P
AU  - Lukyanenko, Roman
AU  - Modaresnezhad, Minoo
TI  - The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach
T2  - Information & Management
PY  - 2025
VL  - 62
IS  - 2
SP  - 104098
DO  - 10.1016/J.IM.2025.104098
UR  - https://www.doi.org/10.1016/J.IM.2025.104098
ER  -