Security perception of e-banking users in India: an analytical hierarchy process

Kumar, Mahesh; Gupta, Sanjay

doi:10.21511/bbs.15(1).2020.02

Cited by 23 publications

(15 citation statements)

References 34 publications

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“…The AHP is a contemporary technique for dealing with MCDC and also supports the judgment maker to set the preference to make the best decision. The AHP comprises methods and philosophies applied to rank among the criteria and subcriteria (Kumar and Gupta, 2020). It is a mathematical technique that creates weighting value (Gupta et al, 2018).…”

Section: Investment In Cryptocurrencymentioning

confidence: 99%

Prioritizing intentions behind investment in cryptocurrency: a fuzzy analytical framework

Gupta¹,

Gupta²,

Mathew³

et al. 2020

JES

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PurposeThe primary objective of this study is to prioritize the main intentions behind investment in cryptocurrency, in spite of its volatile nature and no regulatory framework.Design/methodology/approachThis research paper has worked on collective constructs of the unified theory of acceptance and use of technology (UTAUT), the technology acceptance model (TAM) and social support theory with an added construct of financial literacy. A fuzzy analytical framework has been applied to prioritize the intentions of investors.FindingsThe result indicates that “Social Influence (SI)” is the most influencing factor, while “Effort Expectancy (EE)” is the least influencing factor considered by investors. The subdimensions ranked in the top priority by investors are as follows: “I want to invest in cryptocurrencies because I have a good level of financial knowledge (FL1)”; “The people who are important to me will think that I should use cryptocurrencies (SI2)”; “I have the necessary resources to use cryptocurrencies (FC2).” The least importance is given to “It will be easy for me to become an expert in the use of cryptocurrencies (EE3).”Research limitations/implicationsFew of the constructs of the UTAUT, the TAM and social support theory have been considered while prioritizing intentions. Different other intentions also prevail under different theories that need to be researched further.Practical implicationsUnlike previous studies, this research adds the archetype of social commerce, social support and utility theories to analyze and prioritize the behavioral perspective of using cryptocurrencies in digital transactions.Originality/valueThis paper fills the gap in the research study, along with assisting the regulators and cryptocurrency practitioners to widen their knowledge base and to recognize the prioritized intentions.

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Section: Investment In Cryptocurrencymentioning

confidence: 99%

Prioritizing intentions behind investment in cryptocurrency: a fuzzy analytical framework

Gupta¹,

Gupta²,

Mathew³

et al. 2020

JES

Self Cite

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“…specific types of systems [11], malware [14] [12], usability [81]) or they are location specific (e.g. Switzerland [2], Brazil [3], India [82], Nigeria [83]). On the other hand, in the area of authentication, most of the literature cover general problems [84] [85] [86].…”

Section: Related Workmentioning

confidence: 99%

E-Banking Security Study—10 Years Later

et al. 2022

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ICT security in the banking area is going through rapid changes. It is ten years since we covered the state of e-banking security, and both authentication schemes and legislation has evolved. With the Payment Services Directive (PSD2) for European Union coming into force, we believe it is a good time to update our findings. PSD2 brings new requirements for multi-factor authentication, thus it is necessary to revise compliance of currently used schemes. This work's main contribution is an overview of current authentication methods, their properties with respect to international standards, and their resistance against attacks. We further discuss the multi-factor authentication schemes composed of those methods and their compliance with the PSD2 requirements. In order to present the overview, we introduced the e-banking attacks taxonomy, which is compatible with authenticator threats from NIST Digital Identity Guidelines but has an increased level of detail with respect to the e-banking area. The available sources in this area are usually either very broad, targeted on the business executive, or focus on one particular issue or attack in greater detail. We believe our article can bridge such diverse sources by providing a comprehensive and complex tool to help with orientation in the area.

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“…Investors have mixed opinions about data security concerns. Security perception was multifaceted, ensuring high-security standards bagged by familiarity, relationship and customer experience as well (Kumar and Gupta, 2020). There were some participating investors who felt that it is not only acceptable but also unavoidable to trade online.…”

Section: Data Securitymentioning

confidence: 99%

Artificial intelligence in financial services: a qualitative research to discover robo-advisory services

Bhatia

Chandani

Atiq

et al. 2021

QRFM

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Purpose The purpose of this study is to gauge the awareness and perception of Indian individual investors about a new fintech innovation known as robo-advisors in the wealth management scenario. Robo-advisors are comprehensive automated online advisory platforms that help investors in managing wealth by recommending portfolio allocations, which are based on certain algorithms. Design/methodology/approach This is a phenomenological qualitative study that used five focussed group discussions to gather the stipulated information. Purposive sampling was used and the sample comprised investors who actively invest in the Indian stock market. A semi-structured questionnaire and homogeneous discussions were used for this study. Discussion time for all the groups was 203 min. One of the authors moderated the discussions and translated the audio recordings verbatim. Subsequently, content analysis was carried out by using the NVIVO 12 software (QSR International) to derive different themes. Findings Factors such as cost-effectiveness, trust, data security, behavioural biases and sentiments of the investors were observed as crucial points which significantly impacted the perception of the investors. Furthermore, several suggestions on different ways to enhance the awareness levels of investors were brought up by the participants during the discussions. It was observed that some investors perceive robo-advisors as only an alternative for fund/wealth managers/brokers for quantitative analysis. Also, they strongly believe that human intervention is necessary to gauge the emotions of the investors. Hence, at present, robo-advisors for the Indian stock market, act only as a supplementary service rather than a substitute for financial advisors. Research limitations/implications Due to the explorative nature of the study and limited participants, the findings of the study cannot be generalised to the overall population. Future research is imperative to study the dynamic nature of artificial intelligence (AI) theories and investigate whether they are able to capture the sentiments of individual investors and human sentiments impacting the market. Practical implications This study gives an insight into the awareness, perception and opinion of the investors about robo-advisory services. From a managerial perspective, the findings suggest that additional attention needs to be devoted to the adoption and inculcation of AI and machine learning theories while building algorithms or logic to come up with effective models. Many investors expressed discontent with the current design of risk profiles of the investors. This helps to provide feedback for developers and designers of robo-advisors to include advanced and detailed programming to be able to do risk profiling in a more comprehensive and precise manner. Social implications In the future, robo-advisors will change the wealth management scenario. It is well-established that data is the new oil for all businesses in the present times. Technologies such as robo-advisor, need to evolve further in terms of predicting unstructured data, improvising qualitative analysis techniques to include the ability to gauge emotions of investors and markets in real-time. Additionally, the behavioural biases of both the programmers and the investors need to be taken care of simultaneously while designing these automated decision support systems. Originality/value This study fulfils an identified gap in the literature regarding the investors’ perception of new fintech innovation, that is, robo-advisors. It also clarifies the confusion about the awareness level of robo-advisors amongst Indian individual investors by examining their attitudes and by suggesting innovations for future research. To the best of the authors’ knowledge, this study is the first to investigate the awareness, perception and attitudes of individual investors towards robo-advisors.

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Security perception of e-banking users in India: an analytical hierarchy process

Cited by 23 publications

References 34 publications

Prioritizing intentions behind investment in cryptocurrency: a fuzzy analytical framework

Prioritizing intentions behind investment in cryptocurrency: a fuzzy analytical framework

E-Banking Security Study—10 Years Later

Artificial intelligence in financial services: a qualitative research to discover robo-advisory services

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