With the extension of Internet and its applications, internet banking is introduced as an efficient and cost effective way to provide services to customers. Towards the end of previous decade, cloud computing has been offered as a revolution in Internet application as a More
With the extension of Internet and its applications, internet banking is introduced as an efficient and cost effective way to provide services to customers. Towards the end of previous decade, cloud computing has been offered as a revolution in Internet application as a service which effect on the way that service is provided. Regarding the service improvement based on customer’s needs, cloud computing is a quick move in informational services. This study tried to consider each aspect of internet banking and cloud computing strengths, weaknesses, opportunities and threats and provide SWOT analysis for Internet banking using cloud computing. In the following, the study tried to provide a practical solution for financial agencies and banks to provide better Internet banking services using cloud computing technology. Finally a SWOT analysis of internet banking using cloud computing technology is discussed and approved with expert opinions using fuzzy Delphi method.
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Because of the possibility of anonymity and impersonation in social networks, trust plays an important role in these networks. Pear to pear networks, by eliminating the supervisor roles, besides its benefit in decreasing management costs, have problems in trust and secu More
Because of the possibility of anonymity and impersonation in social networks, trust plays an important role in these networks. Pear to pear networks, by eliminating the supervisor roles, besides its benefit in decreasing management costs, have problems in trust and security of users. In this research, by using social networks as supervised networks, trust level of users is evaluated and by identifying these users in unsupervised networks, appropriate trust level is assigned to them.
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In today's competitive environment, customers are the most important asset to any company. Therefore companies
should understand what the retention and value drivers are for each customer. An approach that can help consider
customers‘ different value dimensions is the More
In today's competitive environment, customers are the most important asset to any company. Therefore companies
should understand what the retention and value drivers are for each customer. An approach that can help consider
customers‘ different value dimensions is the value network. This paper aims to introduce a new approach using data
mining techniques for mapping and analyzing customers‘ value network. Besides, this approach is applied in a real case
study. This research contributes to develop and implement a methodology to identify and define network entities of a
value network in the context of B2B relationships. To conduct this work, we use a combination of methods and
techniques designed to analyze customer data-sets (e.g. RFM and customer migration) and to analyze value network. As a
result, this paper develops a new strategic network view of customers and discusses how a company can add value to its
customers. The proposed approach provides an opportunity for marketing managers to gain a deep understanding of their
business customers, the characteristics and structure of their customers‘ value network. This paper is the first contribution
of its kind to focus exclusively on large data-set analytics to analyze value network. This new approach indicates that
future research of value network can further gain the data mining tools. In this case study, we identify the value entities of
the network and its value flows in the telecommunication organization using the available data in order to show that it can
improve the value in the network by continuous monitoring.
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