PurposeThis study seeks to observe the association between mobile banking failures, use of m-banking and customer engagement to determine the contribution of user satisfaction towards m-banking as mediator between the aforementioned relationship.Design/methodology/approachThis study proposes a Mobile Banking Failure Model (MBFM) by integrating four failure dimensions (functional, system, information and service) based on Tan's failure model and DeLone and Mclean's Information Success model. In this paper, data was gathered from 338 respondents, who were the customers of banks and regular users of m-banking services of their respective banks in India. A survey method was employed to collect data. Structure equation modelling (SEM) was used to analyse the collected data.FindingsThe results suggest that all m-banking failure dimensions (functional, system, information and service) affect the use of m-banking, which in turn affects user satisfaction towards m-banking and customer engagement. Additionally, this study found that user satisfaction towards m-banking acts as a partial mediator between the use of m-banking and customer engagement.Research limitations/implicationsThe banking failure and its use by customers have been examined in the context of mobile banking in India only and thereby limits the generalization of results to other industry and country contexts.Practical implicationsThe results of this paper will guide bank managers and policy planners in implementing MBFM in the Indian banking context, specifically for their m-banking apps.Originality/valueThe use of m-banking, user satisfaction towards m-banking and customer engagement have been added as three supportive variables to the basic Tan's failure model and DeLone and Mclean's Information Success model to examine the impact of m-banking failure on bank customers' usage behaviour. This is a novel addition to the extant literature, as most empirical works in this domain are from industries other than banking (specifically m-banking) and with differing contexts.
With the emergence of social media, the trends of selfies have become common across various social networking platforms as a distinctive way of self‐presentation. It has aroused the interest of various scholars to comprehend the consumer adoption behaviour for social media. Thus, built on the innovation diffusion theory (IDT) and theory of planned behaviour (TPB) perspective, this paper developed a model to empirically test whether and how critical factors of consumer selfie‐posting behavioural intention on social media affect behavioural intention and word‐of‐mouth to consequently enhancing their adoption behaviour towards social media to post selfies. The data were gathered from 353 young consumers who post their selfies clicked via smartphone on their social media accounts. The results revealed that consumer innovativeness and participation intention directly and indirectly affect consumer adoption behaviour for social media to post their selfies. Additionally, the study identified that among all critical factors, participation intention and perceived behaviour control have strongest influence on behavioural intention to post selfies followed by consumer innovativeness, attitude towards selfie‐posting and subjective norms. The study contributes to the extension of TPB by adding participation intention and positive WOM, adoption of social media. This research validated the significant roles of consumer innovativeness, participation intention, positive WOM and intention to post selfies in predicting the adoption behaviour. Practitioners and marketers of social media sites can improve the usability and effectiveness of positive WOM and intention to post selfies to attract more young consumers.
The current article examines the influence of cognitive biases on the process of decision making among equity investors of India. The research is being directed by conducting a survey on a sample of 400 investors investing in Indian capital market. This study measures behavioural biases of individual investors' using a structured questionnaire as a research instrument of the study. By means of cross section data analysis, this analysis steadily provides evidence that behavioural biases adversely affect rational decision-making of an investor. This research indicates that a statistically significant relationship exists between behavioural biases among investors and the process of rational decision-making. The findings of the study are imperative to investors investing Indian capital market, brokers, financial consultants and investment advisors; responsible for managing assets and constructing portfolios for investment clients, as they can alter the investment decision by accessing the susceptibility of investors towards cognitive biases, which often lead to erroneous decision.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.