Bijitaswa Chakraborty

Bijitaswa Chakraborty

Bijitaswa Chakraborty

Faculties: Centre for Data Science

JIS Institute of Advanced Studies & research

HC9M+5F2 ARC Water front(N/AC, Ring Rd, GP Block, Sector V, Bidhannagar, Kolkata, West Bengal 700091

Assistant Professor, Centre for Data Science

Ph.D: Rajendra Mishra School of Engineering Entrepreneurship (Pursuing), IIT Kharagpur, India

Email: bijitaswac@jisiasr.org

Linked-In: www.linkedin.com/in/bijitaswa-chakraborty-b5a223134

Google scholar: https://scholar.google.com/citations?user=ly243pIAAAAJ&hl=en

Ph.D: Rajendra Mishra School of Engineering Entrepreneurship (Pursuing), IIT Kharagpur, India

M.Tech: School of computer Engineering, Kalinga Institute of Industrial Technology (KIIT University), Bhubaneswar, India

B.Tech: Department of Information Technology, Govt. College of Engineering and Ceramic Technology, West Bengal University of Technology, Kolkata, India

Professional Engagements:

Assistant Professor at Department of Computer Science and Engineering, Institute of Science and Technology (West Bengal University of Technology), August, 2016 – January, 2017.

Assistant Professor at Department of Business Analytics and Fintech, GITAM School of Business, GITAM (Deemed to be University), 1st December, 2022- 30th June, 2023.

Assistant Professor at JIS Institute of Advanced Studies and Research, Kolkata, India, 1st August, 2023- Present

Research topics:

Financial and business Analytics, Text analytics, Sports analytics, Healthcare analytics

Research focus:

Business analytics:

Business analytics is a broad research area that focuses on using data and statistical techniques to improve business decision making and drive organizational success. It involves analyzing past and present data to identify patterns, trends, and insights that can guide future decision making. This research area encompasses a wide range of techniques, such as data mining, predictive analytics, and business intelligence, and incorporates both quantitative and qualitative data analysis. Business analytics has become increasingly important in today’s fast-paced and data-driven business environment, as companies look for ways to streamline operations, optimize performance, and gain a competitive edge. Key areas of focus in business analytics research include data management, data visualization, and the development of advanced analytical models and tools. As the field continues to evolve, there is a growing emphasis on incorporating emerging technologies such as artificial intelligence and machine learning into business analytics processes. Overall, business analytics research aims to help organizations make data-driven decisions that lead to improved performance and greater success in today’s highly competitive business landscape.

Healthcare analytics:

Healthcare analytics is an emerging area of research that combines healthcare and data analysis to identify patterns and insights in health data. It involves using various statistical techniques, data mining, and predictive modeling to extract useful information from large and complex datasets in the healthcare field. This information can help healthcare organizations to make informed decisions, improve patient outcomes, and reduce costs. The research in this area focuses on understanding the challenges and opportunities in applying analytics to healthcare data, developing and evaluating algorithms and tools for data processing and analysis, and studying the impact of analytics on decision-making in healthcare. It also explores the ethical implications and privacy concerns in handling sensitive healthcare data. The ultimate goal of healthcare analytics research is to provide evidence-based insights that can improve the efficiency, quality, and safety of healthcare delivery. As technological advancements continue to generate an explosion of health data, healthcare analytics is becoming increasingly important and has the potential to revolutionize the healthcare industry.

My research involves the following research areas:

  1. Detecting impression management from the corporate disclosure in terms of are the preparers of the disclosure providing value relevant and incremental information to the retail investors.
  2. Detecting the wealth creation of the shareholders from the corporate endorsement during a sports event.
  3. Optimization of health care resources and allied attributes for patient services.

Achievements:

All India Rank 97 in KIITEE (Computer Science), 2013 for M.Tech admission in KIIT University

MHRD Doctoral Scholarship (January 2017 – December 2021), MHRD, Govt. of India

Travel grants:

Full conference and travel grant by MHRD for attending Annual ISDSI conference 2019 in Bhubaneswar, India

Full conference and travel grant by MHRD for attending 29th Global Finance Conference in Braga, Portugal in June, 2022

Publications:

Journals:

Chatterjee, M., Bhattacharjee, T., Chakraborty, B., Daim, T., & Kupeli, B. (2024). Exploring Corporate Governance on Post-IPO Performance of R&D Intensive New Public Firms. Journal of Engineering and Technology Management71, 101796.

Chatterjee, M., Bhattacharjee, T., & Chakraborty, B. (2023). Studies on Indian IPO: systematic review and future research agenda. Qualitative Research in Financial Markets, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/QRFM-10-2021-0175

Chakraborty, B., Chatterjee, M., & Bhattacharjee, T. (2023). Impact of analyst report on the behavior of retail investors: a study during COVID-19 in India. Journal of Financial Reporting and Accounting21(5), 1188-1205.

Chakraborty, B., & Bhattacharjee, T. (2020). A review on textual analysis of corporate disclosure according to the evolution of different automated methods. Journal of Financial Reporting and Accounting18(4), 757-777.

Conferences:

Chakraborty B and Bhattacharjee T, “Content Analysis of Corporate Disclosure for Capturing Market Sensitive Information: A Review of Literature”, presented in Management Doctoral Colloquium and VGSOM Research Scholar’s Day (MDC & VRS 2019), IIT Kharagpur, Jan, 2019.

Chakraborty B and Bhattacharjee T, “An empirical model to analyse MD&A disclosure in annual report: An impression management approach in Indian context”, presented in 13th Annual ISDSI Conference, IIM Sambalpur, Dec, 2019.

Chakraborty B and Bhattacharjee T, “Do managers engage in impression management? A study in Indian context”, presented in Management Doctoral Colloquium and VGSOM Research Scholar’s Day (MDC & VRS 2020), IIT Kharagpur, Jan, 2020.

Chakraborty B and Bhattacharjee T, “Tone of MD&A disclosure in the integrated reporting: Incremental information or Impression management?”, presented in Strategic Management Forum, IIM Nagpur, Dec, 2021.

Chakraborty B and Bhattacharjee T, “Does management provide value relevant incremental information or engage in impression management: A study based on CSR disclosure in the Indian context”, presented in Strategic Management Forum, IIM Nagpur, Dec, 2021.

Chakraborty B and Bhattacharjee T, “Does the information in the CSR disclosure designate value relevance or impression management: a content analysis approach in the Indian Context”, presented in Global Finance Conference, University of Minho, Braga, Portugal, June, 2022.

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