• Veena, B. and Dhiraj, S., 2022. A Personalized and Scalable Machine Learning-Based File Management System. Tehnički glasnik, 16(2), pp.288-292.

• Saxena, D., Lamest, M. and Bansal, V., 2021. Responsible machine learning for ethical artificial intelligence in business and industry. In Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry (pp. 639-653). IGI global.

• Bansal, V. and Shukla, S., 2021. Exploring Big Data Analytics Adoption using Affordance Theory. In ICEIS (2) (pp. 131-138).

• Bansal, V., Poddar, A. and Ghosh-Roy, R., 2019. Identifying a medical department based on unstructured data: A big data application in healthcare. Information, 10(1), p.25.

• Gangwal, N. and Bansal, V., 2016, April. Application of decomposed theory of planned behavior for m-commerce adoption in India. In International Conference on Enterprise Information Systems (Vol. 3, pp. 357-367). Scitepress.

• Bansal, V. and Agarwal, A., 2015. Enterprise resource planning: identifying relationships among critical success factors. Business Process Management Journal.

• Bansal, V., 2013. Identifying critical success factors for ERP in SMEs through a case study. International Journal of Future Computer and Communication, 2(5), p.471.

• Bansal, V., 2012. Enterprise Resource Planning: A Managerial Perspective. Pearson Education India.

• Commended by the Senate of IIT Kanpur for being rated as among the best instructors in Professional courses on the basis of Student Reaction Survey for 2008-2009 First Semester.

• Best paper award to the paper Tripti Negi and Veena Bansal, Analysis of business process modelling techniques to model informational process perspective, 12th Annual International Conference of SOM, IIT Kanpur, India, 19-21 December 2009.

Office

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Email: veena[AT]iitk.ac.in