フォロー
pooja sengupta
pooja sengupta
Indian Institute of Management, Ranchi
確認したメール アドレス: iimranchi.ac.in
タイトル
引用先
引用先
Exploration of relationship between FDI and GDP: A comparison between India and its neighbouring countries
P Sengupta, R Puri
Global Business Review 21 (2), 473-489, 2020
902020
Examining the determinants of the count of customer reviews in peer-to-peer home-sharing platforms using clustering and count regression techniques
B Biswas, P Sengupta, D Chatterjee
Decision Support Systems 135, 113324, 2020
632020
Your reviews or mine? Exploring the determinants of “perceived helpfulness” of online reviews: a cross-cultural study
B Biswas, P Sengupta, B Ganguly
Electronic Markets, 1-20, 2021
412021
A critical assessment of consumer reviews: A hybrid NLP-based methodology
B Biswas, P Sengupta, A Kumar, D Delen, S Gupta
Decision support systems 159, 113799, 2022
402022
Examining the predictors of successful Airbnb bookings with Hurdle models: Evidence from Europe, Australia, USA and Asia-Pacific cities
P Sengupta, B Biswas, A Kumar, R Shankar, S Gupta
Journal of Business Research 137, 538-554, 2021
382021
An analysis of COVID-19 clusters in India
P Sengupta, B Ganguli, SS Roy, A Chatterjee
BMC Public Health 21 (631), 2021
232021
Gender Pay Gap in India: A Reality and the Way Forward—An Empirical Approach Using Quantile Regression Technique
P Sengupta, R Puri
Studies in Microeconomics, 2021
112021
What are the significant determinants of helpfulness of online review? An exploration across product-types
B Ganguly, P Sengupta, B Biswas
Journal of Retailing and Consumer Services 78, 103748, 2024
102024
Bivariate doubly inflated Poisson models with applications
P Sengupta, NR Chaganty, RT Sabo
Journal of Statistical Theory and Practice 10, 202-215, 2016
102016
Doubly inflated Poisson model using Gaussian copula
S Sen, P Sengupta, N Diawara
Communications in Statistics-Theory and Methods 47 (12), 2848-2858, 2018
72018
Predicting the price of taxicabs using Artificial Intelligence: A hybrid approach based on clustering and ordinal regression models
B Rathore, P Sengupta, B Biswas, A Kumar
Transportation Research Part E: Logistics and Transportation Review 185, 103530, 2024
52024
Rethinking of firm innovation capability: Examining the moderating role of leadership ability on a new business model
S Chatterjee, R Chaudhuri, A Kumar, S Gupta, P Sengupta
Technological Forecasting and Social Change 195, 122771, 2023
42023
NLP-Driven Insights on Boutique Hotel Satisfaction
AN Mishra, J Li, P Sengupta, A Oztekin
Journal of Computer Information Systems, 2024
32024
Regression for doubly inflated multivariate Poisson distributions
I Das, S Sen, NR Chaganty, P Sengupta
Journal of Statistical Computation and Simulation 89 (13), 2549-2561, 2019
22019
Application of Statistics in Human Resource Management
R Puri, P Sengupta
Statistical Tools and Analysis in Human Resources Management, 15-37, 2018
22018
An alternative analysis of scale data: A marketing application
P Sengupta, HR Chaudhuri
Global Business Review 18 (1), 163-180, 2017
22017
COVID19 epidemic modelling and the effect of public health interventions in India-SEIQHRF model
P Sengupta, B Ganguli, A Chatterjee, SS Roy, M Chatterjee
medRxiv, 2020.09. 16.20182915, 2020
12020
Do stock markets care about ESG and sentiments? Impact of ESG and investors' sentiment on share price prediction using machine learning
S Banerjee, D Aggarwal, P Sengupta
Annals of Operations Research, 1-40, 2025
2025
Effect of earnings management and cash holdings on annual report readability: Evidence from top Indian companies
S Tiwari, C Chatterjee, P Sengupta
IIMB Management Review, 2024
2024
Customer perceptions on open banking apps: Insights using Structural topic modeling
K Desiraju, AN Mishra, P Sengupta
Journal of Retailing and Consumer Services 81, 104029, 2024
2024
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