Search Conferences

Type in any word, words or author name. This searchs through the abstract title, keywords and abstract text and authors. You may search all conferences or just select one conference.


 All Conferences
 EMAC 2019 Annual Conference
 EMAC 2020 Annual Conference
 EMAC 2020 Regional Conference
 EMAC 2021 Annual Conference
 EMAC 2021 Regional Conference
 EMAC 2022 Annual
 EMAC 2022 Regional Conference
 EMAC 2023 Annual
 EMAC 2023 Regional Conference
 EMAC 2024 Annual
 EMAC 2024 Regional Conference

EMAC 2024 Annual


Exploring intention to recommend mobile grocery shopping applications (MGSA) using a text mining approach
(A2024-119887)

Published: May 28, 2024

AUTHORS

Rituparna Basu, International Management institute, Kolkata; Arghya Ray, International Management Institute Kolkata

ABSTRACT

The growing popularity of mobile commerce in grocery shopping is transforming markets and consumers across the world. The use of mobile grocery shopping applications (MGSA) not only offers smarter shopping experiences for tech-savvy customers but also aids marketers with critical insights based on user feedback. The present paper in an attempt to identify the forming consumer sentiments that are currently driving the adoption of MGSA and detect new possibilities of expanding this market powered by consumer-driven recommendation and eWOM triggers uses a big data-based NLP analysis covering 5 popular grocery shopping apps. The analysis highlights the potential for consumers’ intention to recommend the app in light of the identified sentiments. The findings on the impact of technological advancement on the sentiments suggest the need for mobile app management as an important indicator for effective customer management that in turn will influence the long-term market performance of app-based grocery shopping.