Table 6 Sample of studies using data science as a research method
From: Data science: developing theoretical contributions in information systems via text analytics
Title of RM-type studies | Contribution | Goal |
|---|---|---|
Agarwal, A., Baechle, C., Behara, R. S., & Rao, V. (2016). Multi-method approach to wellness predictive modeling. Journal of Big Data, 3(1), 15 | Theory and artifact | Prediction and design |
Asri, H., Mousannif, H., & Al Moatassime, H. (2019). Reality mining and predictive analytics for building smart applications. Journal of Big Data, 6(1), 66 | Theory and artifact | Prediction and design |
Goswami, K., Park, Y., & Song, C. (2017). Impact of reviewer social interaction on online consumer review fraud detection. Journal of Big Data, 4(1), 15 | Theory | Explanation and prediction |
Mavragani, A., & Ochoa, G. (2018). Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data, 5(1), 30 | Theory | Prediction |
Sohangir, S., Wang, D., Pomeranets, A., & Khoshgoftaar, T. M. (2018). Big Data: Deep Learning for financial sentiment analysis. Journal of Big Data, 5(1), 3 | Theory | Prediction |
Geva, T., Oestreicher-Singer, G., Efron, N., & Shimshoni, Y. (2017). Using forum and search data for sales prediction of high-involvement projects. MIS Quarterly, 41(1), 65–82 | Theory | Prediction |