Dr. Pratap Chandra Mandal | Operations | Best Researcher Award
Assistant Professor | Indian Institute of Management Shillong | India
Dr. Pratap Chandra Mandal is an Assistant Professor of Marketing at the Indian Institute of Management Shillong, recognized for his extensive academic and research experience in marketing, consumer behavior, and service management. His research primarily focuses on customer satisfaction, service quality, and consumer decision making processes, with a strong emphasis on developing reliable and validated measurement scales to assess satisfaction in diverse service contexts such as retail banking and service recovery. His doctoral research contributed significantly to understanding the multidimensional nature of customer satisfaction in the Indian retail banking sector through the integration of qualitative and quantitative methodologies, including grounded theory, factor analysis, and structural equation modeling. Over the course of his academic career, he has demonstrated a sustained commitment to high quality scholarship, publishing in peer reviewed journals and serving as a dedicated peer reviewer for reputed international journals such as the Journal of Global Marketing and Cogent Food and Agriculture. He has been consistently recognized for his academic excellence, research contributions, and professional engagement in advancing marketing education and research. His teaching and research interests encompass areas such as consumer psychology, marketing analytics, strategic marketing, and service innovation, through which he continues to contribute to the development of evidence based insights and the cultivation of future marketing professionals.
Profiles: Scopus | Google Scholar
Featured Publications
Mandal, P. C., Mukherjee, I., Paul, G., & Chatterji, B. N. (2022). Digital image steganography: A literature survey. Information Sciences, 609, 1451–1488.
Mandal, P. C. (2018). Qualitative research: Criteria of evaluation. Qualitative Research, 3(2), 1–6.
Mandal, P. C. (2012). Evaluation of performance of the symmetric key algorithms: DES, 3DES, AES and Blowfish. Journal of Global Research in Computer Science, 3(8), 67–70.
Mandal, P. C. (2014). Net promoter score: A conceptual analysis. International Journal of Management Concepts and Philosophy, 8(4), 209–219.
Mandal, P. C., Mukherjee, I., & Chatterji, B. N. (2021). High capacity reversible and secured data hiding in images using interpolation and difference expansion technique. Multimedia Tools and Applications, 80(3), 3623–3644.