Analysis of retail sector research evolution and trends during COVID-19

Gupta, Brij B.; Gaurav, Akshat; Panigrahi, Prabin Kumar

doi:10.1016/j.techfore.2023.122671

Cited by 10 publications

(2 citation statements)

References 82 publications

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“…These services are expanding at a higher rate and tend to increase the market shares of the banks that are effectively using the integrated m-banking applications, which implies that gamification within the applications affects users' behavioral outcomes (Gupta et al, 2023;Shahid et al, 2022;Sreejesh et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Gamification in financial service apps to enhance customer experience and engagement

Raza,

Rehmat,

Ishaq

et al. 2023

J of Consumer Behaviour

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The purpose of this research is twofold: (1) to examine the impact of gamification on user experiences, customer engagement, and purchase intentions in the financial industry and (2) to examine how immediate rewards vs. delayed rewards prompt different consumer behaviors in Pakistan's mobile banking (m‐banking) industry. The data for study 1 was collected from 340 m‐banking customers using a structured, survey‐based questionnaire, while study 2 collected data from 161 customers using an experimental‐based study. The structural equation modeling results show that gamification elements are positively related to user experiences and customer engagement, and customer engagement mediates the relationship between gamification and purchase intentions. Moreover, the results of the experimental‐based study show that immediate rewards more strongly influence user experiences, customer engagement, and purchase intentions. For theoretical implications, this study extends the scant literature on gamification in the m‐banking industry. For managerial implications, this research highlights the essential elements of gamification to increase customer engagement and purchase intentions in the m‐banking sector.

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Section: Literature Reviewmentioning

confidence: 99%

Gamification in financial service apps to enhance customer experience and engagement

Raza,

Rehmat,

Ishaq

et al. 2023

J of Consumer Behaviour

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“…The retail industry is currently experiencing a signifi cant shift due to technological advancements aimed at improving customer experiences and streamlining operational processes [1]. Within the realm of supermarkets, traditional checkout procedures often present challenges such as lengthy waiting times and human errors, leading to ineffi ciencies and customer dissatisfaction.…”

Section: Introductionmentioning

confidence: 99%

Revolutionizing supermarket checkout: A comprehensive review of Radio Frequency Identification (RFID)-enabled shopping carts for automatic payments and real-time inventory tracking

Marios

2024

Trends Comput Sci Inf Technol

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This paper provides an in-depth exploration of Radio Frequency Identification (RFID)-enabled shopping carts, a novel solution tailored for automatic payments and real-time inventory tracking in supermarkets. Through the integration of RFID technology into shopping carts, these systems update the cart’s contents automatically as products are added, thus optimizing checkout processes and improving operational effectiveness. The review delves into the fundamental technology, advantages, obstacles, and potential uses of RFID-enabled shopping carts in the retail sector, offering insights into implementation factors and avenues for future research.

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Location differs between traditional and new retail: A comparison analysis of Starbucks and Luckin Coffee in China using machine learning

Gao,

Liao,

Jiao

et al. 2025

Cities

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Analysis of retail sector research evolution and trends during COVID-19

Cited by 10 publications

References 82 publications

Gamification in financial service apps to enhance customer experience and engagement

Gamification in financial service apps to enhance customer experience and engagement

Revolutionizing supermarket checkout: A comprehensive review of Radio Frequency Identification (RFID)-enabled shopping carts for automatic payments and real-time inventory tracking

Location differs between traditional and new retail: A comparison analysis of Starbucks and Luckin Coffee in China using machine learning

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