• Prabhu Mobile Banking App Download

    From Ariano Waiker@arianowaiker45@gmail.com to comp.lang.mumps on Wed Jan 17 03:05:00 2024
    From Newsgroup: comp.lang.mumps

    Prabhu Mobile Banking is an easy and handy method for hassle free banking transaction from mobile devices. For making any transactions, Prabhu Mobile Banking application needs to be installed to your mobile phone which is available in Play Store for android users and App Store for IOS users. Prabhu Mobile Banking has the duel channel accessibility i.e. Internet or SMS as per your convenient.
    prabhu mobile banking app download
    Download Zip https://t.co/WJ3wzur2yN
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    The banking sector has undergone a significant transformation due to the use of information and communication technologies (ICT) over time. The shift has been fueled by the consistent advancement of mobile technologies and the availability of low-cost smartphones. According to an International Telecommunication Union (ITU) study, approximately 6.68 and 4.1 billion people worldwide use mobile phones and access the mobile internet, respectively. Furthermore, nearly 3.2 billion people use smartphones today, and that number is expected to rise to 3.8 billion by 2021 (Statista, 2016). The financial sector can leverage information technology to deliver innovative services. One typical example is mobile banking (M-banking). M-banking is defined by Shaikh and Karjaluoto [1] as "a method of accessing bank services via mobile devices". The goal of m-banking is to provide seamless financial services in a timely and efficient manner. A smartphone with the internet has become an integral part of daily life in this modern era. M-banking has the potential to change banking for customers and financial institutions in the twenty-first century [2]. It facilitates accessing various value-added services such as banking, education, and e-governance [3]. Improved ICT combined with efficient mobile devices (e.g., Android, iOS, Windows) can transform the traditional banking system into a portable banking system [4]. In the banking sector, the advancement of ICT has reduced financial transaction costs, simultaneously providing greater flexibility in time and physical movement [5].
    Nowadays, financial institutions offer various services via m-banking and provide discounts to customers who use them. Several studies [6, 7] in the literature have reported on m-banking adoption and its benefits. M-banking applications integrated with 3G/4G technologies can perform various tasks, including mobile payment (m-payment), online shopping, ticket booking, trading, transacting, and many others [8]. M-banking applications have recently gained popularity among customers due to their ease of use and flexibility [6]. For example, an e-banking service must use a desktop or laptop terminal, whereas m-banking requires a mobile device with internet access only. As a result, m-banking allows customers to connect with banks more flexibly [9]. It is beneficial, particularly in rural areas where citizens have limited access to traditional banking services [10].
    In comparison to the traditional banking system, the m-banking channel increases productivity, lowers costs and improves customer satisfaction [11]. M-banking can significantly reduce physical bank visits and facilitate real-time wealth monitoring [12]. As of now, different researchers have reported various studies on m-banking [10]. These studies can be divided into three categories: (a) m-banking technology adoption, (b) m-banking application development, and (c) technology selection [1, 13, 14]. Among the areas mentioned above, m-banking application selection has received insufficient attention from researchers. Because of its growing popularity around the world, this field warrants further study.
    To fill the research gaps, this paper proposes an m-banking selection model based on the combined fuzzy-BWM and fuzzy TOPSIS. This study combined fuzzy-TOPSIS with the most recent fuzzy-BWM method proposed by Dong et al. [15]. The purpose of this research is to identify the appropriate m-banking applications among the multiple alternatives. To the best of the author's knowledge, this is one of the few studies that used the newly developed fuzzy-BWM in conjunction with fuzzy-TOPSIS to select m-banking applications. The current study aims to answer the following research questions.
    This research aims to provide an MCDM framework for assessing numerous aspects that guide the choice of m-banking applications for day-to-day activities based on one's needs and desires. This paper presents such a decision-making framework using the new fuzzy-BWM and fuzzy TOPSIS. To accomplish the task, the current study was carried out in multiple stages. Initially, the relevant factors were identified through a review of the literature. Further, a conceptual model has been developed with the help of academic and industry experts. The fuzzy-BWM was used to calculate the weights of the factors, and fuzzy-TOPSIS is applied to evaluate and rank m-banking applications. The present study also demonstrates how to deal with the subjectivity of decision-making. This study made an input by employing a hybrid methodology that combined the newly developed fuzzy-BWM proposed by Dong et al. [15] and fuzzy TOPSIS. The adopted method differs significantly from Guo and Zhao's [16] approach, in which the BWM [17] value was directly extended into a fuzzy environment and solved using non-linear programming. In the context of Guo and Zhao [16], obtaining a global optimal solution is difficult due to nonlinearity. This study used the Dong et al. method [15], which can easily handle the nonlinearity problems of fuzzy BWM, previously proposed by Guo and Zhao [16]. According to the author's knowledge, a combined method of newly developed fuzzy-BWM and fuzzy-TOPSIS for selecting m-banking applications has been rarely reported. The current study describes how to combine two different multi-criteria decision-making techniques to reach a meaningful solution.
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