Current Trend of Bank Selection Criteria of Retail Customers in Bangladesh

Ghosh, Pallabi; Ghosh, Sutap Kumar; Khan, Lubna

doi:10.17549/gbfr.2015.20.2.27

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Due to the increasing number of incidents in which personal data between two parties is taken by intruders, it is critical to protect data communicated over the Internet nowadays [1]. People spend so much time connected to a network that network security has become an extremely important part of data communication.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Twofish, Blowfish, and Advanced Encryption Standard for Secured Data Transmission

Assa-Agyei¹,

Olajide²

2023

IJACSA

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Now-a-days, network security is becoming an increasingly significant and demanding research area of interest. Threats and attacks on information and Internet security are getting increasingly difficult to detect. As a result, encryption has emerged as a solution and now plays a critical role in information security systems. Many techniques are required to safeguard shared data. In this work, the encryption, decryption times, and throughput (speed) of the three most commonly used block cipher algorithms: Twofish, Blowfish, and AES were investigated using different file types. Comparison of symmetric encryption techniques of experiments on these types of algorithms uses a lot of computer resources including CPU time, memory, and battery power. Previous research has yielded diverse results in terms of time complexity, speed, space complexity, power consumption, and security. However, this research evaluated the effectiveness of each algorithm based on the following parameters: process time and speed. An application was developed for data simulation to test different file formats and for the encryption process and speed using Python 3.10.

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Section: Introductionmentioning

confidence: 99%

A Comparative Study of Twofish, Blowfish, and Advanced Encryption Standard for Secured Data Transmission

Assa-Agyei¹,

Olajide²

2023

IJACSA

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“…The banking business environment of the 'Fourth Industrial Revolution' has shifted toward the enlargement and globalization of financial institutions. Today, the banking business is developing new revenue models and providing innovative financial services by applying technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data (Ghosh et al, 2016;Kim et al, 2018). The most representative of these innovative financial services is internet primary bank services.…”

Section: ⅰ Introductionmentioning

confidence: 99%

The Effects of Protection Motivation and Perceived Innovation Characteristics on Innovation Resistance and Innovation Acceptance in Internet Primary Bank Services

Kim¹,

Bae²

2020

Glob Bus Financ Rev

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Prior studies on innovation resistance to IT services have mainly focused on the technology acceptance and use diffusion model. To understand the proliferation power of internet primary banks, an analysis of resistance factors is needed. This paper aims to propose a new integrated innovation resistance model (IRM) to explain the intention of innovation acceptance of internet primary bank services. Design/methodology/approach: This study developed an integrated research model (PMT and IRM) to explain the intention to innovation acceptance of internet primary bank services. It collected 398 online survey responses from non-users of internet primary bank services. This study used the Partial Least Squares (PLS) methodology to verify the research model and hypotheses. Finings: The results suggest that perceived vulnerability, perceived severity, perceived self-efficacy, personal innovativeness, perceived relative advantages, perceived compatibility, and perceived complexity affected innovation resistance. Together, these have a negative influence on the intention to accept the innovation of internet primary bank services. Research limitations/implications: It is necessary to carry out exploratory investigations such as in-depth interviews and parallel observation methods to ensure the validity of the research results. Moreover, we analyzed responses from only non-users and discontinued users of internet primary bank services. In future research, we will conduct a study on innovation resistance that differentiates users and non-users of internet primary bank services. It is also necessary to conduct a longitudinal study to see how the personal innovativeness and perceived innovation characteristics of internet primary bank services change with time. Originality/value: This study makes several contributions to the relevant literature as one of the first attempts to empirically validate an integrated research model for the banking domain. By combining the PMT and IRM, this research proposes and validates a model designed to enrich our understanding of innovation acceptance behavior in internet primary bank users.

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“…Specifically, investigations into reasons underpinning small business choice of a business banking partner is an area of research which, to the best of our knowledge, has only used traditional, and non-behavioural, theoretical explanations (Ghosh, Ghosh, & Khan, 2015;Nielsen, Terry, & Trayler, 1998;Nielsen, Trayler, & Brown, 1995;Pauluzzo & Geretto, 2017).…”

Section: Introductionmentioning

confidence: 99%

Behavioural factor-based clustering to examine why small businesses choose particular bank: The New Zealand evidence

Boulanouar

Ayed

Locke

2019

COC

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In this paper, using the theory of planned behaviour, behavioural and non-behavioural factors underpinning small business’ (SB) choice of a bank are explored. To date, we are unaware of any study that uses a behavioural approach to study bank selection by SBs owner/managers. These factors, discussed in the literature, form the basis of a questionnaire administered in New Zealand. Univariate & bivariate analyses, in addition to cluster analysis of the data, show that behavioral factors, such as knowing a person in the bank, prior personal banking experience and recommendation/referrals, are shown to be most important. Also, after controlling for size, industry, and age of business it is found that there is no statistically significant difference in choice variables. Further, inertia is strong once a bank is chosen and cost, while emphasized, does not trigger actions. A cluster analysis of SB owners/managers produced four different groups. However, all of these groups are affected by the same behavioural factors in their choice of a banking partner.

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Current Trend of Bank Selection Criteria of Retail Customers in Bangladesh

Cited by 4 publications

References 11 publications

A Comparative Study of Twofish, Blowfish, and Advanced Encryption Standard for Secured Data Transmission

A Comparative Study of Twofish, Blowfish, and Advanced Encryption Standard for Secured Data Transmission

The Effects of Protection Motivation and Perceived Innovation Characteristics on Innovation Resistance and Innovation Acceptance in Internet Primary Bank Services

Behavioural factor-based clustering to examine why small businesses choose particular bank: The New Zealand evidence

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