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Exploring antecedents impacting user satisfaction with voice assistant app : a text mining-based analysis on Alexa services

Kumar, Anand; Bala, Pradip Kumar; Chakraborty, Shibashish; … - In: Journal of retailing and consumer services 76 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10014460866

Exploring cognitive-behavioral drivers impacting consumer continuance intention of fitness apps using a hybrid approach of text mining, SEM, and ANN

Bellary, Sreevatsa; Bala, Pradip Kumar; Chakraborty, … - In: Journal of retailing and consumer services 81 (2024), pp. 1-24

Persistent link: https://www.econbiz.de/10015123671

Exploring the impact of different factors on brand equity and intention to take up online courses from e-learning platforms

Ray, Arghya; Bala, Pradip Kumar; Chakraborty, Shibashish; … - In: Journal of retailing and consumer services 59 (2021), pp. 1-12

Persistent link: https://www.econbiz.de/10012433342

Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews

Kumar, Avinash; Chakraborty, Shibashish; Bala, Pradip Kumar - In: Journal of retailing and consumer services 73 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014303395

Improving inventory performance with clustering based demand forecasts

Bala, Pradip Kumar - In: Journal of modelling in management 7 (2012) 1, pp. 23-37

Persistent link: https://www.econbiz.de/10009554281

Retail atmospherics effect on store performance and personalised shopper behaviour : a cognitive computing approach

Behera, Rajat Kumar; Bala, Pradip Kumar; Tata, Sai Vijay; … - In: International Journal of Emerging Markets (2021)

Purpose: The best possible way for brick-and-mortar retailers to maximise engagement with personalised shoppers is capitalising on intelligent insights. The retailer operates differently with diversified items and services, but influencing retail atmospheric on...

Persistent link: https://www.econbiz.de/10012639039

A rule-based automated machine learning approach in the evaluation of recommender engine

Behera, Rajat Kumar; Bala, Pradip Kumar; Jain, Rashmi - In: Benchmarking: An International Journal 27 (2020) 10, pp. 2721-2757

Purpose: Any business that opts to adopt a recommender engine (RE) for various potential benefits must choose from the candidate solutions, by matching to the task of interest and domain. The purpose of this paper is to choose RE that fits best from a set of candidate solutions using rule-based...

Persistent link: https://www.econbiz.de/10012274906

Utilizing emotion scores for improving classifier performance for predicting customer's intended ratings from social media posts

Ray, Arghya; Bala, Pradip Kumar; Jain, Rashmi - In: Benchmarking: An International Journal 28 (2020) 2, pp. 438-464

Purpose: Social media channels provide an avenue for expressing views about different services/products. However, unlike merchandise/company websites (where users can post both reviews and ratings), it is not possible to understand user's ratings for a particular service-related comment on...

Persistent link: https://www.econbiz.de/10012411084

What affects the use of green technology in hotels? : assessing hotel management viewpoint using natural language processing based qualitative study

Ray, Ananya; Ray, Arghya; Bala, Pradip Kumar; Rana, … - In: Journal of hospitality marketing & management 32 (2023) 7, pp. 917-946

Persistent link: https://www.econbiz.de/10014369550

Assessing the influence of COVID-19 protocol on online health information seeking intention of athletes in India

Behera, Rajat Kumar; Bala, Pradip Kumar; Rana, Nripendra P. - In: Benchmarking : an international journal 30 (2023) 8, pp. 2670-2704

Persistent link: https://www.econbiz.de/10014502235