Journal of Engineering and Applied Sciences

Year: 2017
Volume: 12
Issue: 8 SI
Page No. 8261 - 8265

Formulating Crowdsourcing Task Multi-Dimensional Ecosystem Model

Authors : Nurhayati Zakaria, Siti Salwa Salleh, Norjansalika Janom, Syaripah Ruzaini Syed Aris and Noor Habibah Arshad

References

Bloom, B.S., D.R. Krathwohl and B.B. Masia, 1984. Taxonomy of Educational Objectives: The Classification of Educational Goals. Longman Publishing, New York, USA.,.

Han, J. and M. Kamber, 2000. Data Mining: Concepts and Techniques. Morgan-Kaufman Publishers, New York.

Han, J. and M. Kamber, 2006. Data Mining Concepts and Techniques. 2nd Edn., Morgan Kaufmann, Burlington, Massachusetts,.

Heylighen, F., 1999. The growth of structural and functional complexity during evolution. Evol. Complexity, 1: 17-44.

Hosseini, M., K. Phalp, J. Taylor and R. Ali, 2014. The four pillars of crowdsourcing: A reference model. Proceedings of the 2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS), May 28-30, 2014, IEEE, Bournemouth, UK, ISBN: 978-1-4799-2393-9, pp: 1-12.

Howe, J., 2006. The rise of crowdsourcing. Wired Mag., 6: 176-183.
Direct Link  |  

Intan, R., 2007. A proposal of fuzzy multidimensional association rules. J. Inf., 7: 85-90.

Khare, N., N. Adlakha and K.R. Pardasani, 2009. An algorithm for mining multidimensional fuzzy association rules. Intl. J. Comput. Sci. Inf. Secur., 5: 72-76.
Direct Link  |  

Lu, Y., P. Zhang, J. Liu and J. Li, 2013. Competency-based personnel selection in crowdsourcing using fuzzy MCDM approach. J. Convergence Inf. Technol., 8: 1065-1074.

Malone, T.W., R. Laubacher and C. Dellarocas, 2010. The collective intelligence genome. MIT. Sloan Manage. Rev., 51: 21-31.
Direct Link  |  

Rouse, A.C., 2010. A preliminary taxonomy of crowdsourcing. Proceedings of the 21st Australasian Conference on Information Systems Vol. 76, December 1-3, 2010, University in Victoria, Victoria, Australia, pp: 1-10.

Schenk, E. and C. Guittard, 2011. Towards a characterization of crowdsourcing practices. J. Innovation Econ. Manage., 1: 93-107.
CrossRef  |  Direct Link  |  

Sharma, A., 2010. Crowdsourcing critical success factor model: Strategies to harness the collective intelligence of the crowd. London School of Economics, London, England. https://pdfs.semanticscholar.org/7e47/d791397f1b78ca4ced2dcfddd182e5abddc0.pdf

Thuan, N., P. Antunes and D. Johnstone, 2013. Factors Influencing the Decision to Crowdsource. In: Collaboration and Technology, Antunes, P., M. Gerosa, A. Sylvester, J. Vassileva and G. J. Vreede (Eds.). Springer, Berlin, Germany, pp: 110-125.

Ye, H. and A. Kankanhalli, 2013. Leveraging crowdsourcing for organizational value co-creation. Commun. Assoc. Inf. Syst., 33: 225-244.
Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved