Business Commons^™

Do Online Consumers Value Corporate Social Responsibility More In Times Of Uncertainty?: Evidence From Online Auctions Conducted During The Onset Of The Covid-19 Pandemic, Andrew S. Manikas, James R. Kroes, E. Shaunn Mattingly, Garrett A. Mcbrayer

IT and Supply Chain Management Faculty Publications and Presentations

The relationships between Corporate Social Responsibility (CSR) and consumer behaviors have been widely explored in the literature. From the consumer standpoint, it has been shown that individuals largely want to be socially responsible actors and that, more than ever, they consider the CSR aspects of products or services when contemplating purchasing decisions. We utilize data from 23,247 online auctions conducted before and during the COVID-19 pandemic to analyze in what way consumer preferences might be influenced by how the CSR characteristics of products are touted in their descriptions. We find that a greater CSR emphasis is positively associated with an …

Pre-Management? How To Best Prepare: A Brief Overview For Potential Accounting, Finance, And Information Systems Students, Ammon Kou

Marriott Student Review

Many pre-management students are curious about the accounting, finance, and information systems majors offered at BYU. This article features an overview of each major and how best to prepare for those majors’ programs.

An Empirical Application Of Delone And Mclean Model In Evaluating Decision Support System In The Banking Sector Of Oman, Anu Manchanda, Saurabh Mukherjee

Journal of International Technology and Information Management

Banks are investing a huge amount on information systems to provide fast services to their customers and to stay competitive. Therefore it becomes necessary to measure the success of these systems. The main objective of this study is to assess the applicability of DeLone and McLean model of information systems in evaluating decision support system in the banking sector of Oman and to check the relationship among variables of the model. In order to achieve the objectives, data was collected from the managers and assistant managers using decision support system in the banks of Oman. Hypotheses were tested using correlation …

The Classification Performance Of Multiple Methods And Datasets: Cases From The Loan Credit Scoring Domain, Jozef Zurada, Niki Kunene, Jian Guan

Journal of International Technology and Information Management

Decisions to extend credit to potential customers are complex, risky and even potentially catastrophic for the credit granting institution and the broader economy as underscored by credit failures in the late 2000s. Thus, the ability to accurately assess the likelihood of default is an important issue. In this paper the authors contrast the classification accuracy of multiple computational intelligence methods using five datasets obtained from five different decision contexts in the real world. The methods considered are: logistic regression (LR), neural network (NN), radial basis function neural network (RBFNN), support vector machine (SVM), k-nearest neighbor (kNN), and decision tree (DT). …

Improving Credit Card Operations With Data Mining Techniques, Malini Krishnamurthi

Journal of International Technology and Information Management

Consumer credit is ubiquitous and lending poses credit risk – the risk of economic loss due to the failure of a borrower to repay according to the terms of his or her contract with the lender. And so, managing credit risk entails estimating the potential ability of borrowers to repay their debts. Researchers have sought to identify factors that contribute to consumer risk, by using quantitative models. However, the presence of data mining techniques to identify credit risk cannot be ignored. There is a paucity of research to demonstrate the use of data mining techniques in this context, and such …

A New Approach For Evaluating The Order Fulfillment Process Options Of B2c Horizontal Portals Using Dea (Data Envelopment Analysis), Tapati Bandopadhyay, Pradeep Kumar

Journal of International Technology and Information Management

By using the traditional statistical or operations research methods for deciding the product-delivery logistics, the portal companies are not using their competitive advantages on being more e-enabled, informed and computationally able than their traditional counterparts. In this paper, we show some typical characteristics of the portals like their handling of a huge range of goods in terms of transactional values or volumes. Subsequently, we have identified three types of generic product-delivery logistics of the portals with various intermediate entities or trading partners. Then, a completely different approach using an extreme point method rather than the traditional central-tendency-based statistical methods has …

Trading In The Australian Stockmarket Using Artificial Neural Networks, Bruce Vanstone

Bruce Vanstone

This thesis focuses on training and testing neural networks for use within stockmarket trading systems. It creates and follows a well defined methodology for developing and benchmarking trading systems which contain neural networks.

Four neural networks and consequently four trading systems are presented within this thesis. The neural networks are trained using all fundamental or all technical variables, and are trained on different segments of the Australian stockmarket, namely all ordinary shares, and the S&P/ASX200 constituents.

Three of the four trading systems containing neural networks significantly outperform the respective buy-and-hold returns for their segments of the market, demonstrating that neural …