A note on incentive incompatibility under franchising

This note provides a formal demonstration of the incentive incompatibility problem that exists in franchisor — franchisee relationships. It is shown that incentive incompatibility exists with respect to both price and quality. Several contractual mechanisms designed to mitigate the incompatibility problem are examined.     

The impact of a shift in organizational role on ethical perceptions: A comparative study

This study investigates ethical decision-making by considering the differences in ethical judgments between undergraduate business and MBA students on selected ethical issues facing employees and managers of today's businesses. The study further investigates differences in ethical judgments between undergraduates and MBAs in terms of a perceived position as an employee or as a manager. The findings indicate that undergraduate students tend to be more ethical than MBA students and that both groups tend to be more ethical when they perceive themselves as managers rather than employees. The authors discuss the implications for both business practitioners and educators.Shohreh A. Kaynama is Associate Professor of Marketing in the School of Business and Economics at Towson State University in Baltimore, Maryland. She earned a Ph.D. in Marketing and the Decision Sciences. Dr. Kaynama has published extensively in numerous National and International proceedings. Her area of research is strategic marketing, consumer behavior, applications of computers and decision sciences in marketing and global marketing. Louise W. Smith is Professor of Marketing in the School of Business and Economics at Towson State University in Baltimore, Maryland. Dr. Smith's main professional interest is consumer behavior. Dr. Smith's articles have appeared in the Journal of Public Policy & Marketing, Journal of Health Care Marketing, Journal of Marketing Education, Journal of Services Marketing, and Journal of Consumer Marketing among others. Algin B. King is Professor of Marketing in the School of Business and Economics at Towson State University in Baltimore, Maryland. He has served on the Faculties of seven universities, publishing numerous articles in National Professional Meetings Proceedings and scholarly journals including Journal of Euro-Marketing, Atlantic Economic Journal. In addition he has served as a business consultant to numerous business firms.     

Pricing Options on an Asset with Bernoulli Jump-Diffusion Returns

The price movements of certain assets can be modeled by stochastic processes that combine continuous diffusion with discrete jumps. This paper compares values of options on assets with no jumps, jumps of fixed size, and jumps drawn from a lognormal distribution. It is shown that not only the magnitude but also the direction of the mispricing of the Black-Scholes model relative to jump models can vary with the distribution family of the jump component. This paper also discusses a methodology for the numerical valuation, via a backward induction algorithm, of American options on a jump-diffusion asset whose early exercise may be profitable. These cannot, in general, be accurately priced using analytic models. The procedure has the further advantage of being easily adaptable to nonanalytic, empirical distributions of period returns and to nonstationarity in the underlying diffusion process.     

Bond Yields, Ratings, and Financial Information: Evidence from Public Utility Issues

This study investigates the relative roles of bond ratings and financial information in the setting of bond yields. Structural equation modeling techniques are used to learn whether ratings determine yields or whether both ratings and yields are determined by a concurrent set of economic and financial factors. Tests of alternative structural model configurations provide evidence regarding the associations between bond ratings, financial information, and bond yields. Both ratings and financial information are found to play an important role in determining bond yields. In addition, yields are consistent with the higher rating in cases of split ratings.     

THE LOCATION OF NONMETROPOLITAN HIGH-TECH INDUSTRIES: A Comparison of Regional Determinants

A study of the location of three classifications of high-tech industries in rural areas was undertaken using ordinary least squares, Tobit, and a two-step estimation procedure suggested by Heckman (1976). The results indicate that the location decision for high tech firms is influenced primarily by the county population, adjacency to an SMSA, and the expenditures on public infrastructure (exclusive of education expenditures). However, location near interstate highways was generally not a significant factor. Results were similar between branch and unit (single ownership) plants. Some differences in signs of orders of magnitude occurred among the estimation procedures. Making a choice between Tobit and Heckman approaches depends upon the goal of the research.