Imon Chakraborty

About Imon

Imon completed his Masters of Engineering (Biomedical Engineering) as an interdisciplinary framework of health science and technology from Jadavpur University, Kolkata, India. Imon was ranked in the 94 percentile in the Graduate Aptitude Test in Engineering, Government of India, and was awarded a Summer Research Fellowship by the Indian Academy of Sciences.

Imon is also the co-founder of Biofurcate, an online portal that purveys exclusive facilities for students willing to pursue research as career. In addition, Imon has experience in health care administration. His research interests are predominately in health care technology and startups to avail primarily healthcare facilities to everyone.

Project details

Exploring the potential of Health Tech Start-ups in India: A Critical Success Factors Framework

Rationale Health Information Technology (IT) Start-ups have become a booming industry. The phenomenon is global having health IT Start-ups emerging almost in all countries around the world. India’s health IT Start-up sector has made a significant impact on the economy. India’s goal of reaching a $1 trillion digital economic by 2022 has been fuelled by the growth health Start-ups in the country. The number of Internet users in India has grown to over 500million today. The growth of health Start-ups in India makes the country the world’s third biggest start-up ecosystem behind the US and the UK. With healthcare records moving online, and more people including doctors expecting mobile solutions it seem only natural that start-ups are emerging to help users visit the doctor remotely, track their medication regimes or get a diagnosis from a doctor at long distance. Trailblazing into the healthcare market place, health Start-ups are bridging the gap between healthcare and technology to build safer and more inclusive healthcare experience. This calls for studies to systematically investigate the trends and prospects of factors that determine the effectiveness and the success of these start-ups. This study aims to propose to develop a critical success factors (CSF) framework for the Health IT Start-ups creation, growth, and sustainability in India. This framework can then be used by entrepreneurs to assess the outcome quality and the growth and sustain a start-up in this area. In summary, the proposed study aims to: 1. Propose a framework of CSFs for Health IT start-ups in India 2. Validation and refinement of the initial framework through key university and industry experts 3. Final validation of the framework with entrepreneurs 4. Final Framework proposal and dissemination Methodology Stage 1 (Literature Review and Initial Framework Proposal) •Identify in the literature CSFs related to Small and Medium Enterprises (SMEs) and also start-ups creation, development and fostering. •Proposal of an initial CSF Framework for Health IT Start-ups in India. Stage 2 (Initial proposal validation with experts and framework refinement) •Validation of the initial proposal through semi-structured interviews to university and industry experts in Entrepreneurship and Information Systems. •Refinement of the initial framework as the result of the experts input. Stage 3 (Final validation with Health IT start-ups entrepreneurs) •A quantitative research, operationalized by an online questionnaire, will be conducted with entrepreneurs, to test the proposed acceptance theoretical model. In addition to the above, a structural equation modelling will be used to analyse and validate the developed research model. All data will be assessed for goodness of fit and conformity to model assumptions which will determine the data analysis method. Methods proposed are either structural equation modelling or multivariate regression analysis. Stage 4 (Final Framework Proposal) •The study will identify the CSFs and propose a framework for the Health IT Start-ups creation, growth, and sustainability in India, based on the successive refinement phases described. •Dissemination of the final framework through key players in India and abroad. Measurement instruments •Semi-structured interviews, with a qualitative analysis with NVivo, for example; •Surveys, with various statistical analysis being conducted, including multivariate analysis and Structured Equation Modelling (SEM), through an appropriate SEM software. Timeline Data collection would involve 24 months (i.e. Stage 1= 6months; stages 2 and 3=16 months with 12 months required for data analysis and write up.

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UQ Supervisor

Dr Sisira Edirippulige

Centre for Online Health/Centre for Health Services Research
IITD Supervisor

Professor Vigneswara Ilavarasan

Department of Management Studies