Hidden Indicators of Collective Intelligence in Crowdfunding

Horvát, Emőke-Ágnes; Dambanemuya, Henry K.; Uparna, Jayaram; Uzzi, Brian

doi:10.1145/3543507.3583414

Cited by 2 publications

(1 citation statement)

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“…An earlier study developed a forecasting model based on machine learning to predict credit risk in SMEs in China using financial information, operation information, innovation information, and negative events as predictors (Wang et al, 2022). In addition, Horvát et al (2023) found that Heckman's two-variable model (speed and diversity of opinion) predicts who is funded and who repays the financial outcome. Using correlation analysis, Li and Tan (2021) described that the ARIMA model predicts the actual value using the "Operating income growth rate" indicator.…”

Section: Literature Review and Hypotheses Development Predict Innovat...mentioning

confidence: 99%

Predicting the Intention to Adopt Innovation in Supply Chain Finance

Figueiredo,

Camargo,

Ferreira

et al. 2023

Journal of Organizational and End User Computing

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Based on the mixed model unified technology acceptance and utilization theory (UTAUT) and spinner innovation model (SPINNER), a theoretical model is suggested to explain the determinant of behavioral intention to predict innovation in the context of a financial sector firm. A questionnaire was developed to collect primary data, which was subsequently processed through the artificial intelligence technique (deep learning). The constructs (performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, public knowledge, private knowledge, and innovation) supported the model, including mediating hypotheses. It was observed that the mixed methodological approach (SEM and ANN) can help to find the linear and non-linear relationships better, being that the error of the predicted model is 0.104, that is, 10.4% relatively low, which evidences that ANN can be used to predict the dependent variable innovation safely.

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Section: Literature Review and Hypotheses Development Predict Innovat...mentioning

confidence: 99%