Economic Analysis of Tradeoffs Between Security and Disaster Recovery

The threat of computer crime is increasingly becoming a big concern for organizations. Organizations have to continuously manage their investment in information security technologies in an attempt to minimize the damage caused by information resource breaches. This article proposes an economic model in an attempt to evaluate the trade-offs between security and disaster-recovery technologies. The article intends to provide a directional strategy for managers in terms of increasing budgetary allocations for each of these technologies. The proposed model presents insights for managers

An Economic Model for Microrenting in Electronic Commerce

This paper analyzes the possibility of a monopoly firm selling and renting a packaged software product. It employs a simple model to analyze the firm\u27s pricing strategy. We observe that the introduction of the rental product leads to an increase in profits, an increase in selling and a decrease in rental prices as a function of the rate of change of the rental price with respect to the quantity sold

Is More Information Better? The Effect of Traders\u27 Irrational Behavior on an Artificial Stock Market

This paper presents a computer simulated artificial stock market to examine market rationality issues. We constructeconomicagentswithdifferentdegreesofirrationalitytoparticipateinthestockmarket. Theagents replicate the irrational behaviors described in the psychology and finance literatures and determine the outcome of the market. The main focus of this study is to examine the two contradicting (efficient market versus noise trading) finance hypotheses in the presence of rational and irrational traders

Recent trends in the pattern and long-term management strategy of patients diagnosed with acute coronary syndrome in India: an observational study

Background: The understanding of demographic patterns and the real-world management practices for patients with acute coronary syndrome (ACS) will facilitate optimizing the management strategies for ACS based on the patient’s clinical profile and the associated risk factors in Indian patients. Hence, this study determined the demographic details and the treatment patterns in Indian patients with ACS.Methods: The RECent trends in the pattern and lOng-term management stRategy of patients Diagnosed with acute coronary syndrome in India (RECORD ACS-2) study was a real-world, retrospective, cross-sectional, observational study conducted at various centres across India between 2021 and 2022. The study outcomes included the demographic profile and therapeutic management in patients with ACS.Results: A total of 9945 patients with a mean age of 59 years were included. The ACS was commonly observed in the age group of 41-70 years with highest incidence in the age group of 51-60 years. The ST-elevation myocardial infarction (STEMI) was most common (53.2%) presentation. Hypertension (37.2%) and dyslipidemia (29.3%) followed by diabetes (21.3%) were the most common comorbidities. Single vessel disease was the most common angiographic feature (58%). Percutaneous coronary intervention was the most preferred management strategy (57%). Ticagrelor was the most preferred loading (68.3%) as well as maintenance (71.2%) P2Y12 inhibitor in ACS patients. Most of the patients (81.8%) had received high intensity statin therapy for the secondary prevention of the disease.Conclusions: The prevalence of ACS was high between 51-60 years of age, more so in males, smokers, and physically less active patients. Associated comorbidities were hypertension, dyslipidemia and diabetes. Incidence of STEMI was high, and more than half of the patients underwent PCI. Ticagrelor was the most preferred P2Y12 inhibitor in ACS patients for loading as well as maintenance therapy

The Experimental Analysis of Information Security Management Issues for Online Financial Services

E-commerce offers the banking industry great opportunity, but also creates a set of new risks and vulnerability such as security threats. Information security, therefore, is an essential management and technical requirement for any efficient and effective financial activities over the Internet. Still, its definition is a complex endeavor due to the constant technological and business change and requires a coordinated match of managerial and technical solutions. This research intends to provide an instrument to test and evaluate the strategies to counter threats facing online financial institutions through an artificial economic setup at the Synthetic Environments for Simulation and Analysis (SEAS) laboratory at the Krannert Graduate School of Management, Purdue University. The research also intends to provide guidelines for forming information security policies and strategies for survival and success in the dynamic and hostile business environment. Initial results indicate that online banks that were proactive in recognizing the threats and devising policies to counter them generated greater revenue and were able to focus on the core activities. Public disclosure of security breaches by the victim banks resulted in better overall health of the simulated economy. The simulation is still in its development and testing phase and the research team intends to present the findings at the conference