Faculty & Research

Financial Technologies and Crowdfunding

Financial Technologies and Crowdfunding

  • Kariya, A. (2021). Borrowing from government owned banks & firm's liquidation risk. Journal of Corporate Finance, Vol. 69, 101982.
    https://doi.org/10.1016/j.jcorpfin.2021.101982
     
  • Kiran, B. S. & Sharma, R. (2021). Designing and Driving Crowdsourcing Contests in Large Public Service Organizations: Lessons from Deutsche Bahn and Indian Railways: Using the proposed six-stage framework for crowdsourcing contests, public service organizations can leverage internal and external knowledge to cocreate effective solutions. Research Technology Management, 64(3), pp. 48–57.
    https://doi.org/10.1080/08956308.2021.1891821
     
  • Sohani, S., Pandey, J., & Varkkey, B. (2019). Sustainable Aggregation: A Comparative Study of 'For Profit' and 'For Society' Mobile Crowd sourced Transportation Services. Academy of Management Global Proceedings.
    https://journals.aom.org/doi/abs/10.5465/amgblproc.slovenia.2019.0114.abs
     
  • Majumdar, A., & Bose, I.(2018). My words for your pizza: An analysis of persuasive narratives in online crowdfunding. Information & Management 55.6: 781-794.
    https://doi.org/10.1016/j.im.2018.03.007
     
  • Gupta, S., & Kumar, P. (2018). An Approach to Identify Cohesive Subgroups of Banks in Bank-Firm Networks. Proc. Third International Conference on Business Analytics in Finance and Industry. Santiago, Chile, 57-58
     
  • Majumdar, A., & Bose, I. (2018). Detection of financial rumors using big data analytics: the case of the Bombay Stock Exchange. Journal of Organizational Computing and Electronic Commerce 28.2 (2018): 79-97.
    https://doi.org/10.1080/10919392.2018.1444337
     
  • Täube, F.A., Karna, A. & Sonderegger, P. (2018). Economic geography and emerging market clusters: A co-evolutionary study of local and non-local networks in Bangalore. International Business Review.
    https://doi.org/10.1016/j.ibusrev.2018.03.011
     
  • Deodhar, S. J., Subramani, M., & Zaheer, A. (2017). Geography of Online Network Ties: A Predictive Modelling Perspective. Decision Support Systems. 99. 9-17.
    https://doi.org/10.1016/j.dss.2017.05.010

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