Modelling Crowdfunding Ensemble Learning Prediction

Subject Areas : Financial Mathematics

Mehran Saeidi Aghdam ¹ (Department of entrepreneurship, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Akbar Alam Tabriz ² (Department of Industrial management, Shahid beheshti University, tehran, Iran)
Alireza Bahiraie ³ (Department of Mathematics, Semnan University, Semnan, Iran)
Ahmad Sadeghi ⁴ (Department of Geography, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran)

Received: 2020-08-01 Accepted : 2020-10-08 Published : 2021-07-01

Keywords:

References:

[1] Allison, T.H., Davis, B.C., Webb, J.W., Short, J.C., Persuasion in crowdfunding: An elaboration likelihood model of crowdfunding performance. J. Bus. Ventur. 2017, 32, P. 707–725, Doi:10.1016/j.jbusvent.2017.09.002

 

[2] Anglin, A.H., Wolfe, M.T., Short, J.C., McKenny, A.F., Pidduck, R.J., Narcissistic rhetoric and crowdfunding performance, A social role theory perspective, J. Bus. Ventur. 2018, 33, P. 780–812.

Doi: 10.1016/j.jbusvent.2018.04.004.

 

[3] Bauer, E., Kohavi, R., An empirical comparison of voting classification algorithms: Bagging, Boosting, and variants, Machine Learning, 1999, 36, P. 105–139, Doi: 10.1023/A:1007515423169.

 

[4] Beaulieu, T., Sarker, S., Discursive meaning creation in crowdfunding: A socio-material perspective, Paper presented at the International Conference for Information Systems, Milan, Italy, 2013.

Doi: 10.1098/102515423169.

 

[5] Belleflamme, P., Lambert, T., Schwienbacher, A.,Crowdfunding: Tapping the Right Crowd, Journal of Business Venturing, 2014, 29(5), P.585–609. Doi: 10.1016/j.jbusvent.2013.07.003.

 

[6] Belleflamme, P., Omrani, N., Peitz, M., The economics of crowdfunding platforms, Information Economics and Policy, 2015, 33, P. 11–28, Doi: 10.1016/j.infoecopol.2015.08.003.

 

[7] Belleflamme, P., Lambert, T., Schwienbacher, A., Digital Business Models: Understanding Strategies, 2010, P. 1–30, Doi: 10.2478/fman-2018-0011.

 

[8] Boons, M., Stam, D., and Barkema, H.G., Feelings of Pride and Respect as Drivers of Ongoing Member Activity on Crowdsourcing Platforms, Journal of Management Studies, 2015, 52(6), P.717–74.

 Doi: 10.1111/joms.12140.

 

[9] Brabham, D.C., Ribisl. K.M., Kirchner. T. R., Bernhardt, J.M., Crowdsourcing Applications for Public Health, American Journal of Preventive Medicine, 2014, 46(2), P. 179-187, Doi: 10.1016/j.amepre.2013.10.016

 

[10] Breiman, L., Random forests. Machine Learning, 2001, 45(1),P. 5–32, Doi: 10.1023/A:1010933404324.

 

[11] Breiman, L., Bagging, Predictors Machine Learning,1996, 24(2), P. 123–140, Doi: 10.1023/A:101805431435 0.

 

[12] Bruton, G.D., Khavul, S., Chavez, H., Microlending in Emerging Economies: Building a New Line of Inquiry from the Ground Up, Journal of International Business Studies, 2011, 42(5), P. 718–739, Doi: 10.1057/jibs.2010.58.

 

[13] Burtch, G., Ghose, A., Wattal, S., The Hidden Cost of Accommodating Crowdfunder Privacy Preferences:A Randomized Field Experiment, Management Science, 2015, 61(5), P. 949–962, Doi: 10.1287/mnsc.2014. 2069.

 

 [14] Davoodi, A., Kasbi, I., Dadashi, K., Stock price analysis using machine learning method (Non-sensory-parametric backup regression algorithm in linear and nonlinear mode), Advances in Mathematical Finance and Applications, 2019, 4(3), P. 1-13. Doi: 10.22034/AMFA.2019.1869838.1232.

 

[15] Dietterich, T.G., Ensemble methods in machine learning, in Proc. Int. Workshop Multiple Classifier Syst. Berlin, Germany: Springer, 2020, P. 1–15, Doi: 10.1007/3-540-45014-9_1.

 

[16] Dibachi, H., Behzadi, M.H., Izadikhah, M., Stochastic Modified MAJ Model for Measuring the Efficiency and Ranking of DMUs, Indian Journal of Science and Technology, 2015, 8(8), P.1-7. Doi: 10.17485/ijst/2015/v8iS8/71505

 

[17] Farshadfar, Z., Marcel Prokopczuk, M., Improving Stock Return Forecasting by Deep Learning Algorithm, Advances in Mathematical Finance and Applications, 2019, 4(3), P. 1-13. Doi: 10.22034/AMFA.2019.584494.1 173.

 

[18] Feller, J., Gleasure, R., Treacy, S., From the wisdom to the wealth of crowds: A meta triangulation of crowdfunding research, 2013, 1(2), Doi: 10.1007/978-3-319-13817-6_36.

 

[19] Gerber, E. M., Hui, J. S., Kuo, P. Y., Crowdfunding: Why people are motivated to post and fund projects on crowdfunding platforms, 2012, Doi: 10.1016/2012.05.033.

 

[20] Ghasemzadeh, M., Mohammad-Karimi, N., Ansari-Samani, H., Machine learning algorithms for time series in financial markets, Advances in Mathematical Finance and Applications, 2020, 5(3), P.479-490.

 Doi: 10.22034/AMFA.2020.674946.

 

[21] Giudici, G., Guerini, M., Lamastra, C.R., Why Crowdfunding Projects Can Succeed: The Role of Proponents Individual and Territorial Social Capital, 2013, Doi: 10.2139/ssrn.2255944.

 

[22] Guo, K., Tang, Y., Zhang, P., CSF: Crowdsourcing semantic fusion for heterogeneous media big data in the internet of things, Trends in Food Science & Technology, 2017, 66, P.63-72, Doi: 10.1016/j.inffus.2017.01.008.

 

[23] Hemer, J., Schneider, U., Dornbusch, F., Frey, S., Crowd funding undand ere Formen670 informeller Mikrofinanzierung in der Projekt-und Innovationsfinanzierung, 2011, ISBN-13: 978-3839603130.

 

[24] Howe, J., Crowdsourcing: How the power of the crowd is driving the future of business, New York: Random House, 2008. ISBN-13: 978-0307396211.

 

[25] Howe, J., Crowdsourcing: A definition Crowdsourcing. 2006, Doi: 10.1007/978-3-319-18341-1_3.

 

[26] Jenik, I., Lyman, T., Nava A., Crowdfunding and Financial Inclusion. CGAP, US: World Bank Group. 2017.

 

[27] Jones, O., Gatrell, C., Editorial: The Future of Writing and Reviewing for IJMR.” International Journal of Management Reviews, 2014, 16(3), P.249–264, Doi: 10.1111/ijmr.12038.

 

[28] Kleemann, F., Vob, G.G., Rieder, K., Un(der)paid Innovators: The Commercial Utilization of Consumer Work Through Crowdsourcing, Translated by S.S. Gissendanner. Science, Technology & Innovation Studies, 2008, 4(1), Doi: 10.17877/DE290R-12790.

 

[29] Krogh, A., Vedelsby, J., Neural network ensembles, cross validation, and active learning. In Tesauro, G., Touretzky, D.S., Leen, T.K., eds.: Advances in Neural Information Processing Systems 7. MIT Press, Cambridge, 1995, P. 231–238.

 

[30] Kuncheva, L.I., Whitaker, C.J., Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Machine Learning, 2003, 51(2), P. 181–207. Doi: 10.1023/A:1022859003006.

 

[31] Lambert, T., Schwienbacher, A., An Empirical Analysis of Crowdfunding, 2010.

 

[32] Larralde, B., Schwienbacher, A., Crowdfunding of Small Entrepreneurial Ventures, The Oxford Handbook of Entrepreneurial Finance, edited by D. Cumming, 2012, 369. Doi: 10.2139/ssrn.1699183

 

[33] Lehner, O.M., Crowdfunding Social Ventures: A Model and Research Agenda, Venture Capital, 2013, 15(4), P. 289–311, Doi: 10.1080/13691066.2013.782624.

 

[34] Ley, A., Weaven, S., Exploring Agency Dynamics of Crowdfunding in Start-Up Capital Financing, Academy of Entrepreneurship Journal, 2011, 17(1), P. 85–110.

 

[35] Li, Y., Zhang, Z., Wang, R., Chen, Y., Consumer Purchase Intention Toward Crowdfunding Products/Services: A Cost–Benefit Perspective, Sustainability, 2019, 11, 3579. Doi: 10.3390/su11133579.

 

[36] Lu, H., Zhou, H., Wang, Junxian, Wang, T., Dong, X., Zhuang, Z., Li, C., Ensemble learning for independent component analysis of normal galaxy spectra, The Astronomical Journal, 2006, 131, P. 790-805. Doi: 10.1086/498711.

 

[37] Martínez-Climent, C., Costa-Climent, R., Oghazi, P, Sustainable Financing through Crowdfunding. Sustainability, 2019, 11, P. 934-956. Doi: 10.3390/su11030934.

 

[38] Mollick, E., The Dynamics of Crowdfunding: An Exploratory Study, Journal of Business Venturing, 2014, 29(1), P. 1–16, Doi: 10.1016/j.jbusvent.2013.06.005.

 

[39] Mollick, E., Robb, A., Democratizing Innovation and Capital Access: The Role of Crowdfunding, California Management Review, 2016, 58(2), P. 72–87. Doi: 10.1525/cmr.2016.58.2.72

 

[40] Shravya, Ch., Pravalika, K., Subhani, Sh., Prediction of breast cancer using supervised machine learning techniques, Int. J. Innov. Technol. Explor. Eng, 2019. Doi: 10.1109/R10-HTC.2017.8288944

 

[41] Simons, A., Kaiser, LF., vom Brocke, J., Enterprise crowdfunding: foundations, applications, and research findings, Bus Inf SystEng, 2019, 61, P. 113–121. Doi: 10.1007/s12599-018-0568-7.

 

[42] Testa, S., Nielsen, KR., Bogers, M., Cincotti, S., The role of crowdfunding in moving towards a sustainable society, Technol Forecast Soc Chang, 2019, 141, P. 66–73. Doi: 10.1016/j.techfore.2018.12.011.

 

[43] Wang, S.-H., Zhang, Y.-D., Yang, M., Liu, B., Ramirez, J., Gorriz, J.M. Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression. Integr. Comput-Aided Eng, 2019, 26(4), P. 411–426. Doi: 10.3233/ICA-190605.

 

[44] Yang, X., Zhao, K., Tao, X., Shiu, E, Developing and Validating a Theory-Based Model of Crowdfunding Investment Intention—Perspectives from Social Exchange Theory and Customer Value Perspective, Sustainability, 2019, 11, P. 25-56. Doi: 10.3390/su11092525.

 

[45] Zhou, L., Zhang, Z., Chen, Y.-C., Zhao, Z.-Y., Yin, X.-D., Jiang, H.-B, A deep learning-based radiomics model for differentiating benign and malignant renal tumors, Transl. Oncol, 2019, 12(2), P. 292–300. Doi: 10.1016/j.tranon.2018.10.012.

 

[46] Zhou, Z.H., Jiang, Y., Chen, S.F, Extracting symbolic rules from trained neural network ensembles, AI Communications, 2003, 16(1), P. 3–15. Doi: 10.1007/s11227-017-2228.

 

[47] Zhu, X., Zhang, C., Liang, G., An empirical study of bagging predictors for different learning algorithms, 25^th Conference on Artificial Intelligence, 2011, P. 1802–1803. Doi: 10.1007/978-3-642-25853-4_26.