As online transactions continue to increase and become a significant part of the global economy, the ability to accept payments online becomes more important for businesses. This paper evaluates the literature and provides current information for IS researchers and instructors focusing on electronic commerce. In this paper, we explore the components of e-credit providers (conventional, person-t...

Capital allocation for credit portfolios has two meanings. First, at portfolio level it means to determine capital as a buffer against an unexpected negative cash-flow resulting from credit losses. In this case, the allocation method can be specified by means of a risk measure. Its result is called economic capital of the portfolio. Second, at sub-portfolio or transaction level, capital allocat...

Mobile Phone has been widely used in the world and adopted in different application areas involved with SMS has been evolved for downloading logo, ring-tones, advertisement, security notes, and location based system. This paper describe a service that further extends the functionality of SMS, a prototype named as “SMS Credit” is developed that allows customers to perform electronic payment usin...

We have conducted an agent-based simulation of chain bankruptcy. The propagation of credit risk on a network, i.e., chain bankruptcy, is the key to understanding largesized bankruptcies. In our model, decrease of revenue by the loss of accounts payable is modeled by an interaction term, and bankruptcy is defined as a capital deficit. Model parameters were estimated using financial data for 1,07...

We demonstrate StreamMiner, a random decision-tree ensemble based engine to mine data streams. A fundamental challenge in data stream mining applications (e.g., credit card transaction authorization, security buysell transaction, and phone call records, etc) is concept-drift or the discrepancy between the previously learned model and the true model in the new data. The basic problem is the abil...

This paper empirically measures the integration of the asset market of commercial real estate by studying the respective explanatory power of three types of variables – macroeconomic conditions, local market conditions, and property attributes – for property transaction cap rates. Results from analyzing about 10,000 sales of institutional grade commercial properties from 1977 to 2012 indicate t...

Despite the inherent risk arising from separating buyers and sellers, networked online marketplaces are proliferating. We describe how online auction marketplaces take advantage of institutional structures to build buyer trust in auction sellers, mitigate risk, increase satisfaction, and promote transaction intentions. It is hypothesized, based on institutional trust (Zucker 1986), that buyer t...

Data mining is popularly used to combat frauds because of its effectiveness. It is a well-defined procedure that takes data as input and produces models or patterns as output. Neural network, a data mining technique was used in this study. The design of the neural network (NN) architecture for the credit card detection system was based on unsupervised method, which was applied to the transactio...

Today there are millions of credit card transactions are being processed and mining techniques are highly applied to amount transaction and processing then the data’s are highly skewed Mining such massive amounts of data requires highly efficient techniques that scaled that can be extend transactions are legitimate than fraudulent fraud detection systems were widely used but this document gives...

We employ a novel data set on almost 30,000 trade credit contracts to describe the broad characteristics of the parties that contract together and the key terms of these contracts. Whereas prior work has typically used information on only one side of the buyer-seller transaction, we utilize information on both, allowing for the first analysis of buyer-seller pairs. An equally important distinct...