My research philosophy 

Currently, I am an empirical researcher and predominantly work with large panel datasets to uncover empirical insights. Over time, I have collected some exclusive large datasets for my research projects. Since I am interested in theories and implications of connectivity, I extensively employ social network analyses and related statistical techniques in my research. 

However, I like to think of myself as an ideator and an aspiring theorist because, as Descartes said, the essence of being human is 'I think, therefore I am' *.

I am a phenomenon-driven researcher. Most of my research ideas have come from observing the world around me. I am a reflective and curious person by nature and passionate about research. Naturally, most of my own experiences and that of my friends make their way into my research investigation process. 

My current research can be categorized into two broad streams- 1. investment networks and their implications for the productivity of firms, 2. board networks and their implications for the compensation of individual directors.

Accepted publications

Invited article in IFC Review courtesy Snehal Awate  (affiliation: Indian Institute of Technology Bombay) 

Journal of International Business Studies. DOI: 10.1057/s41267-023-00650-x  

Winner of the Best Research Methods Paper award at AIB-NE 2022.

Working Papers

Finalist for the Best Paper Award in Emerging Economies Research at AIB 2023

The data for this project was collected using grants from the Young Scholars' Interdisciplinary Forum at Temple University and the generous contribution of Prof. Arvind Parkhe (affiliation: Temple University).

Winner of the Best Conference  'That's Novel' Paper  award at AIB-NE 2023.

Winner of the Best  Conference PhD Paper award at AIB-SE 2023.

Finalist for the Best Conference Paper award at AIB-SE 2023.

Peter J. Buckley and Pervez N. Ghauri prize for the Best Early Career Researcher Paper

Best Paper Proceedings at the 84th Academy of Management - Chicago, USA

The data collection for my dissertation was funded by the Temple-CIBER grant. The primary goal of my dissertation is to show the local boundedness of network effects at different levels and the local effects of global network properties. More specifically, I show how different forms of firm embeddedness differently impacts firm productivity and innovation performance.

Advanced manuscripts in progress

Earlier work 

Note: Some titles have been abbreviated to preserve the anonymity of the manuscripts in the peer-review process.