Tabash, M. I., Navas, T. M., Thayyib, P. V., Farhin, S., Khan, A. A., & Annoon, H. (2024). Modeling High-frequency Financial Data Using R and Stan: A Bayesian Autoregressive Conditional Duration Approach. Journal of Open Innovation: Technology, Market, and Complexity, 100249.
Thayyib, P. V., Anwar, I., MM, S., Yasin, N., & Thabit Yahya, A. (2024). Brand expertise, impulsiveness and materialism aggravate unhealthy food products buying among young adults despite pricing and sin tax interventions. Cogent Business & Management, 11(1), 2296147.https://doi.org/10.1080/23311975.2023.2296147
Thayyib, P. V., Thorakkattle, M. N., Usmani, F., Yahya, A. T., & Farhan, N. H. (2023). Forecasting Indian Goods and Services Tax revenue using TBATS, ETS, Neural Networks, and hybrid time series models. Cogent Economics & Finance, 11(2), 2285649. https://doi.org/10.1080/23322039.2023.2285649
Thayyib, P. V., Mamilla, R., Khan, M., Fatima, H., Asim, M., Anwar, I., … & Khan, M. A. (2023). State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary. Sustainability, 15(5), 4026. https://doi.org/10.3390/su15054026
Thayyib, P. V., & Khan, M. A. (2021). Do demographics influence workforce agility score of tax professionals in Bangalore, India?. Global Business and Organizational Excellence, 40(4), 34-49. https://doi.org/10.1002/joe.22084