A Systematic Literature Review and Bibliometric Analysis on Mobile Payments

Abstract

Mobile payments (m-payments) have become a way of life as it enables transactions without the need for physical cash. Systematic literature review (SLR) and bibliometric analysis are rare contributions in the field of m-payment research. The basis of this work is to explore and analyze the existing literature on m-payments. This article attempts to provide a holistic view on m-payment research. The current research article analyzes both peer reviewed and open access papers. The papers are selected from ScienceDirect, EBSCO and ProQuest databases for the time period 2007–2021. A total of 250 papers were chosen as a part of this study to conduct SLR and bibliometric analysis, out of which 62 relevant papers, published in 48 peer reviewed and open access journals, were taken for the final analysis. VOSviewer is used to carry out the bibliometric analysis. The bibliometric coupling helped in identifying three clusters: factors influencing m-payment adoption, consumer’s attitude towards m-payments and the effect of technological and behavioural factors on the adoption of m-payments. This study would help future researchers in gaining significant insights on the current status of the existing literature and assist in conducting a qualitative literature review.

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“…In the particular context of studies on mobile payments adoption, earlier scholars have utilized various methodological models, but majorly the technology acceptance models and multivariate analysis techniques, example, the structural equation models dominate the existing literature, which mostly comprised of micro-level or organization specific studies. It has been recommended that application of other statistical techniques, as well as macro-level studies could reveal various other factors and dynamics in understanding mobile based payments, especially from the country's economy perspectives (Kumar & Yadav, 2022) Specifically, the S-curves or technology adoption curves has been used to describe, estimate, and predict the growth, maturity, diffusion, and transformation of where  and  are parameters to be estimated using ordinary least squares (OLS) and t is a disturbance term with zero mean and constant variance.…”

Predicting Adoption of Next Generation Digital Technology Utilizing the Adoption-Diffusion Model Fit: The Case of Mobile Payments Interface in an Emerging Economy

“…Therefore, it is imperative to estimate and understand the dynamics of the new age technological diffusion extent and levels in order to plan and formalize timely policies and guide industrial and business growth, especially in the context of India, being one of the largest emerging economies of the world and a free market with major global footprints in business. Scholars have already suggested to undertake further studies on adoption of mobile based payments, in view of its extremely rapid pace of expansion and rising trend (Kumar & Yadav, 2022;Shaikh et al, 2022).…”

“…In the particular context of studies on mobile payments adoption, earlier scholars have utilized various methodological models, but majorly the technology acceptance models and multivariate analysis techniques, example, the structural equation models dominate the existing literature, which mostly comprised of micro-level or organization specific studies. It has been recommended that application of other statistical techniques, as well as macro-level studies could reveal various other factors and dynamics in understanding mobile based payments, especially from the country's economy perspectives (Kumar & Yadav, 2022) Specifically, the S-curves or technology adoption curves has been used to describe, estimate, and predict the growth, maturity, diffusion, and transformation of innovations (Cho et al, 2022). However, as already discussed earlier, not many studies exist using such tools, and especially in developing countries, which is currently the seat of such pacing growth, and almost none in the specific case of UPI payments in India, an emerging global market leader.…”