A study of the effect of age and gender upon student business ethics

The present survey was voluntarily and anonymously completed by 2,196 students enrolled in business courses at the University of Southern Mississippi. The intent of the survey was to determine whether or not age or gender played a role in a person's perception of proper ethical conduct.The findings suggests that gender is a significant factor in the determination of ethical conduct and that females are more ethical than males in their perception of business ethical situations.Students were divided into groups according to age as follows: under 21 years, 22–30 years, 31–40 years, and 40 plus years. The results of this survey also suggest that age is a determining factor in making ethical decisions. The statistics suggest that those students falling in the 40 plus years age group were the most ethical, followed in order by the 31–40 group, the 22–30 group and those of 21 years of age and under.Durwood Ruegger is currently an Associate Professor of Finance and General Business at the University of Southern Mississippi. Prior to joining the University, he was a practicing attorney and former municipal judge. His publications have appeared in theJournal of Health and Human Resources Administration, Labor Law Journal, Business Insights, andThe Practical Real Estate Lawyer.Ernest W. King is an Assistant Professor of Finance and General Business at the University of Southern Mississippi. He is a member of the Florida and Washington, D.C. Bars. His publications have appeared inBusiness Insights, Nursing Administration Quarterly, and theCPCU Journal.     

中国"以电子政务拉动信息产业发展"政策的再评估

电子政务是中国信息化战略的重中之重，但其实际发展与预期间存在着明显差距。本文以中国“以电子政务拉动信息产业发展”政策为研究重点，把这一政策放在中国信息化历史中加以考察，分析中国信息化新阶段ICT市场的新变化和新挑战，针对电子政务实践与预期间的差距，对该政策提出我们的看法。     

Financial Challenges Facing Urban SMEs under Financial Sector Liberalization in Ghana

The paper examines the impact of financial sector liberalization (FSL) policies on the financial management of small and medium-sized enterprises (SME) in Ghana, using six case studies. Its findings, which confirm and extend the conclusions of previous studies, are integrated into a framework that explains the impact of FSL and the factors at work. The main financial challenge facing SMEs is access to affordable credit over a reasonable period. This is determined by the financing needs of SMEs and the action of investors. SME financing needs reflect their operational requirements, while the action of investors depends on their risk perception and the attractiveness of alternative investment (which affects their willingness to invest). Government borrowing, the general economic climate, availability of collateral, quality of SME record keeping, and SME investor relations skills affect the way in which this challenge is managed. The impact of the activities and potential of enterprise development agencies are also discussed.     

Comparing classification accuracy of neural networks,binary logit regression and discriminant analysis for insolvency prediction of life insurers

Past studies have documented the failure of the Insurance Regulatory Information System (IRIS) to provide adequate warning of insurer financial distress or insolvency. As a result, scholars have examined alternative parametric and non-parametric models to predict insurer insolvency. This study uses a neural network, a non-parametric alternative to past techniques, and shows how this methodology predicts insurer insolvency more effectively than parametric models.     

On the informational content of advice: a theoretical and experimental study

This paper examines the market for advice and the underlying perception that advice is useful and informative. We do this by first providing a theoretical examination of the informational content of advice and then by setting up a series of experimental markets where this advice is sold. In these markets we provide bidders with a demographic profile of the “experts” offering advice.The results of our experiment generate several interesting findings. The raw bid data suggest that subjects bid significantly more for data than they do for advice. Second, in the market for advice there appears to be no consensus as to who are the best advisors although on average economists demand the highest mean price and women suffer a discount. In addition, we find that whether a subject suffers from a representativeness bias in the way he or she processes data has an impact on how he or she bids for advice and on his or her willingness to follow it once offered. Finally, we find that on average people impute a low level of informativeness onto advice, consistent with their bidding behavior for data versus advice.This work was done under grant number SES-0425118 of the National Science Foundation. The authors would like to recognize the Center for Experimental Social Science at New York University for its additional support. We also acknowledge the help of Elizabeth Potamites for her research assistance.     

Financial Market Fragmentation and Reforms in Ghana, Malawi, Nigeria, and Tanzania

This article reports the findings from surveys of formal andinformal institutions and their clients in Ghana, Malawi, Nigeria,and Tanzania. It investigates the hypothesis that reformingfinancially repressive policies would not be sufficient to overcomefragmentation of financial markets because of structural andinstitutional barriers to interactions across different marketsegments. The four countries have substantially fragmented financialmarkets, with weak linkages between formal and informal segmentsand interest rate differentials that cannot be adequately explainedby differences in costs and risks. Nevertheless, the relativelylow transaction costs and loan losses of informal institutionsindicate that they provide a reasonably efficient solution toinformation, transaction cost, and enforcement problems thatexclude their clients from access to formal banking services.The findings imply that financial liberalization and bank restructuringin the African context should be accompanied by complementarymeasures to address institutional and structural problems, suchas contract enforcement and information availability, and toimprove the integration of informal and formal financial markets.     

Risk-based capital for credit insurers with business cycles and dynamic leverage

This paper develops a risk-based capital pricing model for credit insurance portfolios held by a vulnerable insurer. The model accounts for business cycles using a two-state Markov switching model, and allows for dynamic leverage adjustment by the insured firms. The new proposed model, which incorporates risk-based capital practice, is better for both the insurer and the insured firms. Based on the risk-adjusted performance metric, we found that the insurer is better off insuring short- and medium-term loans in expansion and steady states, while it is better off backing both short- and long-term loans in recessions. Our results also emphasize that macroeconomic uncertainty significantly impairs the creditworthiness of the insurer and insured firms.